Create scale by calculating item mean and returns descriptives for srvyr objects

Source: R/make_scales.R

This function creates a scale by calculating the mean of a set of items, and prints and returns descriptives that allow to assess internal consistency and spread. It is primarily based on the psych::alpha function, with more parsimonious output and some added functionality.

svy_make_scale(
  data,
  items,
  scale_name,
  reverse = c("none", "spec"),
  reverse_items = NULL,
  two_items_reliability = c("spearman_brown", "cronbachs_alpha", "r"),
  r_key = NULL,
  proration_cutoff = 0.4,
  print_hist = TRUE,
  print_desc = TRUE,
  return_list = FALSE,
  harmonize_ranges = NULL,
  scale_title = scale_name,
  reversed = lifecycle::deprecated(),
  scale_items = lifecycle::deprecated()
)

Arguments

data

A srvyr survey object

items

A characters vector containing the items for that scale (variables in data)

scale_name

Character. The name of the variable the scale should be saved as

reverse

Should scale items be reverse coded? One of "none" - no items reversed, or "spec" - items specific in reverse_items are reversed. Note: "auto" is not supported for survey objects.

reverse_items

Character vector with names of scale items to be reversed (must be subset of scale_items). Used when reverse = "spec".

two_items_reliability

How should the reliability of two-item scales be reported? "spearman_brown" is the recommended default, but "cronbachs_alpha" and Pearson's "r" are also supported.

r_key

(optional) Numeric. Set to the possible maximum value of the scale if the whole scale should be reversed, or to -1 to reverse the scale based on the observed maximum

proration_cutoff

Scales scores are only calculated for cases with at most this share of missing data.

print_hist

Logical. Should histograms of the scale and its items be printed.

print_desc

Logical. Should descriptive statistics for the scale be printed.

return_list

Logical. Should only the survey object with scale values be returned, or descriptives as well?

harmonize_ranges

Should items that have different ranges be rescaled? Default is not to do it but issue a message to flag this potential issue - set to FALSE to suppress that message. If TRUE, items are rescaled to match the first item given. Alternatively pass a vector (c(min, max)) to specify the desired range.

scale_title

Character. Name of scale for printing. Defaults to scale_name

reversed

[Deprecated] Use reverse_items instead.

scale_items

[Deprecated] Use the items argument instead

Value

The survey object with the scale added as an additional variable.

Examples


library(survey)
#> Loading required package: grid
#> Loading required package: Matrix
#> Loading required package: survival
#> 
#> Attaching package: ‘survey’
#> The following object is masked from ‘package:graphics’:
#> 
#>     dotchart
data(api)

svy_data <- svydesign(id = ~1, strata = ~stype, weights = ~pw,
data = apistrat, fpc = ~fpc)
scale_items <- c("ell", "meals", "mobility", "col.grad", "full")
scale_reversed <- c("col.grad", "full")
svy_make_scale(svy_data, scale_items, "SES", reversed = scale_reversed)
#> Warning: The `reversed` argument of `svy_make_scale()` is deprecated as of timesaveR
#> 0.0.3.
#> ℹ Please use the `reverse_items` argument instead.
#> Descriptives for SES scale:
#> Mean: 41.113  SD: 13.525
#> Cronbach's alpha: .74
#> 
#> The following items were reverse coded (with min and max values): 
#> col.grad (0, 100)
#> full (24, 100)

#> Stratified Independent Sampling design
#> (function (object, ...) 
#> UseMethod("update"))(list(cluster = list(id = 1:200), strata = list(
#>     stype = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 
#>     2L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 
#>     2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 1L, 3L, 2L, 
#>     1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 
#>     3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 
#>     1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
#>     3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 3L, 
#>     2L, 3L, 1L, 1L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 
#>     1L, 3L, 3L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 
#>     2L, 1L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 
#>     2L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 
#>     2L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 
#>     2L, 1L, 2L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 
#>     2L, 1L, 1L, 1L, 2L, 3L, 1L, 2L)), has.strata = TRUE, prob = c(`1` = 0.0226193173650442, 
#> `2` = 0.0226193173650442, `3` = 0.0226193173650442, `4` = 0.0226193173650442, 
#> `5` = 0.0226193173650442, `6` = 0.0226193173650442, `7` = 0.0226193173650442, 
#> `8` = 0.0226193173650442, `9` = 0.0226193173650442, `10` = 0.0226193173650442, 
#> `11` = 0.0491159120835966, `12` = 0.0491159120835966, `13` = 0.0662251638898745, 
#> `14` = 0.0491159120835966, `15` = 0.0662251638898745, `16` = 0.0226193173650442, 
#> `17` = 0.0226193173650442, `18` = 0.0491159120835966, `19` = 0.0491159120835966, 
#> `20` = 0.0226193173650442, `21` = 0.0226193173650442, `22` = 0.0491159120835966, 
#> `23` = 0.0226193173650442, `24` = 0.0662251638898745, `25` = 0.0662251638898745, 
#> `26` = 0.0226193173650442, `27` = 0.0662251638898745, `28` = 0.0662251638898745, 
#> `29` = 0.0226193173650442, `30` = 0.0491159120835966, `31` = 0.0491159120835966, 
#> `32` = 0.0226193173650442, `33` = 0.0226193173650442, `34` = 0.0226193173650442, 
#> `35` = 0.0662251638898745, `36` = 0.0226193173650442, `37` = 0.0491159120835966, 
#> `38` = 0.0491159120835966, `39` = 0.0662251638898745, `40` = 0.0226193173650442, 
#> `41` = 0.0491159120835966, `42` = 0.0662251638898745, `43` = 0.0226193173650442, 
#> `44` = 0.0662251638898745, `45` = 0.0226193173650442, `46` = 0.0226193173650442, 
#> `47` = 0.0662251638898745, `48` = 0.0491159120835966, `49` = 0.0491159120835966, 
#> `50` = 0.0226193173650442, `51` = 0.0491159120835966, `52` = 0.0226193173650442, 
#> `53` = 0.0226193173650442, `54` = 0.0226193173650442, `55` = 0.0226193173650442, 
#> `56` = 0.0662251638898745, `57` = 0.0491159120835966, `58` = 0.0491159120835966, 
#> `59` = 0.0226193173650442, `60` = 0.0226193173650442, `61` = 0.0226193173650442, 
#> `62` = 0.0226193173650442, `63` = 0.0226193173650442, `64` = 0.0491159120835966, 
#> `65` = 0.0662251638898745, `66` = 0.0226193173650442, `67` = 0.0226193173650442, 
#> `68` = 0.0226193173650442, `69` = 0.0226193173650442, `70` = 0.0491159120835966, 
#> `71` = 0.0491159120835966, `72` = 0.0226193173650442, `73` = 0.0226193173650442, 
#> `74` = 0.0491159120835966, `75` = 0.0226193173650442, `76` = 0.0226193173650442, 
#> `77` = 0.0491159120835966, `78` = 0.0226193173650442, `79` = 0.0226193173650442, 
#> `80` = 0.0226193173650442, `81` = 0.0662251638898745, `82` = 0.0226193173650442, 
#> `83` = 0.0226193173650442, `84` = 0.0226193173650442, `85` = 0.0226193173650442, 
#> `86` = 0.0662251638898745, `87` = 0.0226193173650442, `88` = 0.0491159120835966, 
#> `89` = 0.0662251638898745, `90` = 0.0226193173650442, `91` = 0.0226193173650442, 
#> `92` = 0.0226193173650442, `93` = 0.0226193173650442, `94` = 0.0491159120835966, 
#> `95` = 0.0226193173650442, `96` = 0.0662251638898745, `97` = 0.0226193173650442, 
#> `98` = 0.0662251638898745, `99` = 0.0491159120835966, `100` = 0.0226193173650442, 
#> `101` = 0.0226193173650442, `102` = 0.0491159120835966, `103` = 0.0662251638898745, 
#> `104` = 0.0491159120835966, `105` = 0.0226193173650442, `106` = 0.0226193173650442, 
#> `107` = 0.0662251638898745, `108` = 0.0226193173650442, `109` = 0.0491159120835966, 
#> `110` = 0.0226193173650442, `111` = 0.0662251638898745, `112` = 0.0491159120835966, 
#> `113` = 0.0662251638898745, `114` = 0.0226193173650442, `115` = 0.0491159120835966, 
#> `116` = 0.0662251638898745, `117` = 0.0226193173650442, `118` = 0.0226193173650442, 
#> `119` = 0.0491159120835966, `120` = 0.0491159120835966, `121` = 0.0226193173650442, 
#> `122` = 0.0662251638898745, `123` = 0.0226193173650442, `124` = 0.0226193173650442, 
#> `125` = 0.0491159120835966, `126` = 0.0226193173650442, `127` = 0.0226193173650442, 
#> `128` = 0.0226193173650442, `129` = 0.0226193173650442, `130` = 0.0662251638898745, 
#> `131` = 0.0491159120835966, `132` = 0.0491159120835966, `133` = 0.0662251638898745, 
#> `134` = 0.0226193173650442, `135` = 0.0226193173650442, `136` = 0.0491159120835966, 
#> `137` = 0.0226193173650442, `138` = 0.0662251638898745, `139` = 0.0226193173650442, 
#> `140` = 0.0491159120835966, `141` = 0.0226193173650442, `142` = 0.0491159120835966, 
#> `143` = 0.0226193173650442, `144` = 0.0662251638898745, `145` = 0.0662251638898745, 
#> `146` = 0.0226193173650442, `147` = 0.0662251638898745, `148` = 0.0662251638898745, 
#> `149` = 0.0226193173650442, `150` = 0.0662251638898745, `151` = 0.0491159120835966, 
#> `152` = 0.0226193173650442, `153` = 0.0226193173650442, `154` = 0.0491159120835966, 
#> `155` = 0.0226193173650442, `156` = 0.0491159120835966, `157` = 0.0491159120835966, 
#> `158` = 0.0491159120835966, `159` = 0.0662251638898745, `160` = 0.0226193173650442, 
#> `161` = 0.0491159120835966, `162` = 0.0226193173650442, `163` = 0.0662251638898745, 
#> `164` = 0.0662251638898745, `165` = 0.0226193173650442, `166` = 0.0662251638898745, 
#> `167` = 0.0662251638898745, `168` = 0.0662251638898745, `169` = 0.0662251638898745, 
#> `170` = 0.0491159120835966, `171` = 0.0491159120835966, `172` = 0.0226193173650442, 
#> `173` = 0.0491159120835966, `174` = 0.0662251638898745, `175` = 0.0491159120835966, 
#> `176` = 0.0662251638898745, `177` = 0.0662251638898745, `178` = 0.0662251638898745, 
#> `179` = 0.0226193173650442, `180` = 0.0662251638898745, `181` = 0.0491159120835966, 
#> `182` = 0.0662251638898745, `183` = 0.0226193173650442, `184` = 0.0491159120835966, 
#> `185` = 0.0226193173650442, `186` = 0.0226193173650442, `187` = 0.0226193173650442, 
#> `188` = 0.0226193173650442, `189` = 0.0226193173650442, `190` = 0.0662251638898745, 
#> `191` = 0.0226193173650442, `192` = 0.0662251638898745, `193` = 0.0662251638898745, 
#> `194` = 0.0226193173650442, `195` = 0.0226193173650442, `196` = 0.0226193173650442, 
#> `197` = 0.0662251638898745, `198` = 0.0491159120835966, `199` = 0.0226193173650442, 
#> `200` = 0.0662251638898745), allprob = list(pw = c(0.0226193173650442, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#> 0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#> 0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#> 0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#> 0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#> 0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 0.0226193173650442, 
#> 0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#> 0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#> 0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#> 0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#> 0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#> 0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#> 0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#> 0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#> 0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#> 0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#> 0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#> 0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#> 0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#> 0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#> 0.0491159120835966, 0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#> 0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#> 0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 0.0662251638898745, 
#> 0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#> 0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#> 0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#> 0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#> 0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#> 0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#> 0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#> 0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 0.0226193173650442, 
#> 0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#> 0.0491159120835966, 0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#> 0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#> 0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 0.0226193173650442, 
#> 0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#> 0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 0.0491159120835966, 
#> 0.0662251638898745, 0.0491159120835966, 0.0662251638898745, 0.0662251638898745, 
#> 0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#> 0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#> 0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#> 0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#> 0.0491159120835966, 0.0226193173650442, 0.0662251638898745)), 
#>     call = (function (object, ...) 
#>     UseMethod("update"))(list(cluster = list(id = 1:200), strata = list(
#>         stype = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
#>         3L, 2L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 
#>         1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 
#>         1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 
#>         1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 
#>         1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 
#>         1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
#>         1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 
#>         1L, 1L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 
#>         2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 
#>         2L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>         1L, 1L, 1L, 2L, 3L, 1L, 2L)), has.strata = TRUE, prob = c(`1` = 0.0226193173650442, 
#>     `2` = 0.0226193173650442, `3` = 0.0226193173650442, `4` = 0.0226193173650442, 
#>     `5` = 0.0226193173650442, `6` = 0.0226193173650442, `7` = 0.0226193173650442, 
#>     `8` = 0.0226193173650442, `9` = 0.0226193173650442, `10` = 0.0226193173650442, 
#>     `11` = 0.0491159120835966, `12` = 0.0491159120835966, `13` = 0.0662251638898745, 
#>     `14` = 0.0491159120835966, `15` = 0.0662251638898745, `16` = 0.0226193173650442, 
#>     `17` = 0.0226193173650442, `18` = 0.0491159120835966, `19` = 0.0491159120835966, 
#>     `20` = 0.0226193173650442, `21` = 0.0226193173650442, `22` = 0.0491159120835966, 
#>     `23` = 0.0226193173650442, `24` = 0.0662251638898745, `25` = 0.0662251638898745, 
#>     `26` = 0.0226193173650442, `27` = 0.0662251638898745, `28` = 0.0662251638898745, 
#>     `29` = 0.0226193173650442, `30` = 0.0491159120835966, `31` = 0.0491159120835966, 
#>     `32` = 0.0226193173650442, `33` = 0.0226193173650442, `34` = 0.0226193173650442, 
#>     `35` = 0.0662251638898745, `36` = 0.0226193173650442, `37` = 0.0491159120835966, 
#>     `38` = 0.0491159120835966, `39` = 0.0662251638898745, `40` = 0.0226193173650442, 
#>     `41` = 0.0491159120835966, `42` = 0.0662251638898745, `43` = 0.0226193173650442, 
#>     `44` = 0.0662251638898745, `45` = 0.0226193173650442, `46` = 0.0226193173650442, 
#>     `47` = 0.0662251638898745, `48` = 0.0491159120835966, `49` = 0.0491159120835966, 
#>     `50` = 0.0226193173650442, `51` = 0.0491159120835966, `52` = 0.0226193173650442, 
#>     `53` = 0.0226193173650442, `54` = 0.0226193173650442, `55` = 0.0226193173650442, 
#>     `56` = 0.0662251638898745, `57` = 0.0491159120835966, `58` = 0.0491159120835966, 
#>     `59` = 0.0226193173650442, `60` = 0.0226193173650442, `61` = 0.0226193173650442, 
#>     `62` = 0.0226193173650442, `63` = 0.0226193173650442, `64` = 0.0491159120835966, 
#>     `65` = 0.0662251638898745, `66` = 0.0226193173650442, `67` = 0.0226193173650442, 
#>     `68` = 0.0226193173650442, `69` = 0.0226193173650442, `70` = 0.0491159120835966, 
#>     `71` = 0.0491159120835966, `72` = 0.0226193173650442, `73` = 0.0226193173650442, 
#>     `74` = 0.0491159120835966, `75` = 0.0226193173650442, `76` = 0.0226193173650442, 
#>     `77` = 0.0491159120835966, `78` = 0.0226193173650442, `79` = 0.0226193173650442, 
#>     `80` = 0.0226193173650442, `81` = 0.0662251638898745, `82` = 0.0226193173650442, 
#>     `83` = 0.0226193173650442, `84` = 0.0226193173650442, `85` = 0.0226193173650442, 
#>     `86` = 0.0662251638898745, `87` = 0.0226193173650442, `88` = 0.0491159120835966, 
#>     `89` = 0.0662251638898745, `90` = 0.0226193173650442, `91` = 0.0226193173650442, 
#>     `92` = 0.0226193173650442, `93` = 0.0226193173650442, `94` = 0.0491159120835966, 
#>     `95` = 0.0226193173650442, `96` = 0.0662251638898745, `97` = 0.0226193173650442, 
#>     `98` = 0.0662251638898745, `99` = 0.0491159120835966, `100` = 0.0226193173650442, 
#>     `101` = 0.0226193173650442, `102` = 0.0491159120835966, `103` = 0.0662251638898745, 
#>     `104` = 0.0491159120835966, `105` = 0.0226193173650442, `106` = 0.0226193173650442, 
#>     `107` = 0.0662251638898745, `108` = 0.0226193173650442, `109` = 0.0491159120835966, 
#>     `110` = 0.0226193173650442, `111` = 0.0662251638898745, `112` = 0.0491159120835966, 
#>     `113` = 0.0662251638898745, `114` = 0.0226193173650442, `115` = 0.0491159120835966, 
#>     `116` = 0.0662251638898745, `117` = 0.0226193173650442, `118` = 0.0226193173650442, 
#>     `119` = 0.0491159120835966, `120` = 0.0491159120835966, `121` = 0.0226193173650442, 
#>     `122` = 0.0662251638898745, `123` = 0.0226193173650442, `124` = 0.0226193173650442, 
#>     `125` = 0.0491159120835966, `126` = 0.0226193173650442, `127` = 0.0226193173650442, 
#>     `128` = 0.0226193173650442, `129` = 0.0226193173650442, `130` = 0.0662251638898745, 
#>     `131` = 0.0491159120835966, `132` = 0.0491159120835966, `133` = 0.0662251638898745, 
#>     `134` = 0.0226193173650442, `135` = 0.0226193173650442, `136` = 0.0491159120835966, 
#>     `137` = 0.0226193173650442, `138` = 0.0662251638898745, `139` = 0.0226193173650442, 
#>     `140` = 0.0491159120835966, `141` = 0.0226193173650442, `142` = 0.0491159120835966, 
#>     `143` = 0.0226193173650442, `144` = 0.0662251638898745, `145` = 0.0662251638898745, 
#>     `146` = 0.0226193173650442, `147` = 0.0662251638898745, `148` = 0.0662251638898745, 
#>     `149` = 0.0226193173650442, `150` = 0.0662251638898745, `151` = 0.0491159120835966, 
#>     `152` = 0.0226193173650442, `153` = 0.0226193173650442, `154` = 0.0491159120835966, 
#>     `155` = 0.0226193173650442, `156` = 0.0491159120835966, `157` = 0.0491159120835966, 
#>     `158` = 0.0491159120835966, `159` = 0.0662251638898745, `160` = 0.0226193173650442, 
#>     `161` = 0.0491159120835966, `162` = 0.0226193173650442, `163` = 0.0662251638898745, 
#>     `164` = 0.0662251638898745, `165` = 0.0226193173650442, `166` = 0.0662251638898745, 
#>     `167` = 0.0662251638898745, `168` = 0.0662251638898745, `169` = 0.0662251638898745, 
#>     `170` = 0.0491159120835966, `171` = 0.0491159120835966, `172` = 0.0226193173650442, 
#>     `173` = 0.0491159120835966, `174` = 0.0662251638898745, `175` = 0.0491159120835966, 
#>     `176` = 0.0662251638898745, `177` = 0.0662251638898745, `178` = 0.0662251638898745, 
#>     `179` = 0.0226193173650442, `180` = 0.0662251638898745, `181` = 0.0491159120835966, 
#>     `182` = 0.0662251638898745, `183` = 0.0226193173650442, `184` = 0.0491159120835966, 
#>     `185` = 0.0226193173650442, `186` = 0.0226193173650442, `187` = 0.0226193173650442, 
#>     `188` = 0.0226193173650442, `189` = 0.0226193173650442, `190` = 0.0662251638898745, 
#>     `191` = 0.0226193173650442, `192` = 0.0662251638898745, `193` = 0.0662251638898745, 
#>     `194` = 0.0226193173650442, `195` = 0.0226193173650442, `196` = 0.0226193173650442, 
#>     `197` = 0.0662251638898745, `198` = 0.0491159120835966, `199` = 0.0226193173650442, 
#>     `200` = 0.0662251638898745), allprob = list(pw = c(0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745)), call = (function (object, ...) 
#>     UseMethod("update"))(list(cluster = list(id = 1:200), strata = list(
#>         stype = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
#>         3L, 2L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 
#>         1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 
#>         1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 
#>         1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 
#>         1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 
#>         1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
#>         1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 
#>         1L, 1L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 
#>         2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 
#>         2L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>         1L, 1L, 1L, 2L, 3L, 1L, 2L)), has.strata = TRUE, prob = c(`1` = 0.0226193173650442, 
#>     `2` = 0.0226193173650442, `3` = 0.0226193173650442, `4` = 0.0226193173650442, 
#>     `5` = 0.0226193173650442, `6` = 0.0226193173650442, `7` = 0.0226193173650442, 
#>     `8` = 0.0226193173650442, `9` = 0.0226193173650442, `10` = 0.0226193173650442, 
#>     `11` = 0.0491159120835966, `12` = 0.0491159120835966, `13` = 0.0662251638898745, 
#>     `14` = 0.0491159120835966, `15` = 0.0662251638898745, `16` = 0.0226193173650442, 
#>     `17` = 0.0226193173650442, `18` = 0.0491159120835966, `19` = 0.0491159120835966, 
#>     `20` = 0.0226193173650442, `21` = 0.0226193173650442, `22` = 0.0491159120835966, 
#>     `23` = 0.0226193173650442, `24` = 0.0662251638898745, `25` = 0.0662251638898745, 
#>     `26` = 0.0226193173650442, `27` = 0.0662251638898745, `28` = 0.0662251638898745, 
#>     `29` = 0.0226193173650442, `30` = 0.0491159120835966, `31` = 0.0491159120835966, 
#>     `32` = 0.0226193173650442, `33` = 0.0226193173650442, `34` = 0.0226193173650442, 
#>     `35` = 0.0662251638898745, `36` = 0.0226193173650442, `37` = 0.0491159120835966, 
#>     `38` = 0.0491159120835966, `39` = 0.0662251638898745, `40` = 0.0226193173650442, 
#>     `41` = 0.0491159120835966, `42` = 0.0662251638898745, `43` = 0.0226193173650442, 
#>     `44` = 0.0662251638898745, `45` = 0.0226193173650442, `46` = 0.0226193173650442, 
#>     `47` = 0.0662251638898745, `48` = 0.0491159120835966, `49` = 0.0491159120835966, 
#>     `50` = 0.0226193173650442, `51` = 0.0491159120835966, `52` = 0.0226193173650442, 
#>     `53` = 0.0226193173650442, `54` = 0.0226193173650442, `55` = 0.0226193173650442, 
#>     `56` = 0.0662251638898745, `57` = 0.0491159120835966, `58` = 0.0491159120835966, 
#>     `59` = 0.0226193173650442, `60` = 0.0226193173650442, `61` = 0.0226193173650442, 
#>     `62` = 0.0226193173650442, `63` = 0.0226193173650442, `64` = 0.0491159120835966, 
#>     `65` = 0.0662251638898745, `66` = 0.0226193173650442, `67` = 0.0226193173650442, 
#>     `68` = 0.0226193173650442, `69` = 0.0226193173650442, `70` = 0.0491159120835966, 
#>     `71` = 0.0491159120835966, `72` = 0.0226193173650442, `73` = 0.0226193173650442, 
#>     `74` = 0.0491159120835966, `75` = 0.0226193173650442, `76` = 0.0226193173650442, 
#>     `77` = 0.0491159120835966, `78` = 0.0226193173650442, `79` = 0.0226193173650442, 
#>     `80` = 0.0226193173650442, `81` = 0.0662251638898745, `82` = 0.0226193173650442, 
#>     `83` = 0.0226193173650442, `84` = 0.0226193173650442, `85` = 0.0226193173650442, 
#>     `86` = 0.0662251638898745, `87` = 0.0226193173650442, `88` = 0.0491159120835966, 
#>     `89` = 0.0662251638898745, `90` = 0.0226193173650442, `91` = 0.0226193173650442, 
#>     `92` = 0.0226193173650442, `93` = 0.0226193173650442, `94` = 0.0491159120835966, 
#>     `95` = 0.0226193173650442, `96` = 0.0662251638898745, `97` = 0.0226193173650442, 
#>     `98` = 0.0662251638898745, `99` = 0.0491159120835966, `100` = 0.0226193173650442, 
#>     `101` = 0.0226193173650442, `102` = 0.0491159120835966, `103` = 0.0662251638898745, 
#>     `104` = 0.0491159120835966, `105` = 0.0226193173650442, `106` = 0.0226193173650442, 
#>     `107` = 0.0662251638898745, `108` = 0.0226193173650442, `109` = 0.0491159120835966, 
#>     `110` = 0.0226193173650442, `111` = 0.0662251638898745, `112` = 0.0491159120835966, 
#>     `113` = 0.0662251638898745, `114` = 0.0226193173650442, `115` = 0.0491159120835966, 
#>     `116` = 0.0662251638898745, `117` = 0.0226193173650442, `118` = 0.0226193173650442, 
#>     `119` = 0.0491159120835966, `120` = 0.0491159120835966, `121` = 0.0226193173650442, 
#>     `122` = 0.0662251638898745, `123` = 0.0226193173650442, `124` = 0.0226193173650442, 
#>     `125` = 0.0491159120835966, `126` = 0.0226193173650442, `127` = 0.0226193173650442, 
#>     `128` = 0.0226193173650442, `129` = 0.0226193173650442, `130` = 0.0662251638898745, 
#>     `131` = 0.0491159120835966, `132` = 0.0491159120835966, `133` = 0.0662251638898745, 
#>     `134` = 0.0226193173650442, `135` = 0.0226193173650442, `136` = 0.0491159120835966, 
#>     `137` = 0.0226193173650442, `138` = 0.0662251638898745, `139` = 0.0226193173650442, 
#>     `140` = 0.0491159120835966, `141` = 0.0226193173650442, `142` = 0.0491159120835966, 
#>     `143` = 0.0226193173650442, `144` = 0.0662251638898745, `145` = 0.0662251638898745, 
#>     `146` = 0.0226193173650442, `147` = 0.0662251638898745, `148` = 0.0662251638898745, 
#>     `149` = 0.0226193173650442, `150` = 0.0662251638898745, `151` = 0.0491159120835966, 
#>     `152` = 0.0226193173650442, `153` = 0.0226193173650442, `154` = 0.0491159120835966, 
#>     `155` = 0.0226193173650442, `156` = 0.0491159120835966, `157` = 0.0491159120835966, 
#>     `158` = 0.0491159120835966, `159` = 0.0662251638898745, `160` = 0.0226193173650442, 
#>     `161` = 0.0491159120835966, `162` = 0.0226193173650442, `163` = 0.0662251638898745, 
#>     `164` = 0.0662251638898745, `165` = 0.0226193173650442, `166` = 0.0662251638898745, 
#>     `167` = 0.0662251638898745, `168` = 0.0662251638898745, `169` = 0.0662251638898745, 
#>     `170` = 0.0491159120835966, `171` = 0.0491159120835966, `172` = 0.0226193173650442, 
#>     `173` = 0.0491159120835966, `174` = 0.0662251638898745, `175` = 0.0491159120835966, 
#>     `176` = 0.0662251638898745, `177` = 0.0662251638898745, `178` = 0.0662251638898745, 
#>     `179` = 0.0226193173650442, `180` = 0.0662251638898745, `181` = 0.0491159120835966, 
#>     `182` = 0.0662251638898745, `183` = 0.0226193173650442, `184` = 0.0491159120835966, 
#>     `185` = 0.0226193173650442, `186` = 0.0226193173650442, `187` = 0.0226193173650442, 
#>     `188` = 0.0226193173650442, `189` = 0.0226193173650442, `190` = 0.0662251638898745, 
#>     `191` = 0.0226193173650442, `192` = 0.0662251638898745, `193` = 0.0662251638898745, 
#>     `194` = 0.0226193173650442, `195` = 0.0226193173650442, `196` = 0.0226193173650442, 
#>     `197` = 0.0662251638898745, `198` = 0.0491159120835966, `199` = 0.0226193173650442, 
#>     `200` = 0.0662251638898745), allprob = list(pw = c(0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745)), call = (function (object, ...) 
#>     UseMethod("update"))(list(cluster = list(id = 1:200), strata = list(
#>         stype = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
#>         3L, 2L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 
#>         1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 
#>         1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 
#>         1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 
#>         1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 
#>         1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
#>         1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 
#>         1L, 1L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 
#>         2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 
#>         2L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>         1L, 1L, 1L, 2L, 3L, 1L, 2L)), has.strata = TRUE, prob = c(`1` = 0.0226193173650442, 
#>     `2` = 0.0226193173650442, `3` = 0.0226193173650442, `4` = 0.0226193173650442, 
#>     `5` = 0.0226193173650442, `6` = 0.0226193173650442, `7` = 0.0226193173650442, 
#>     `8` = 0.0226193173650442, `9` = 0.0226193173650442, `10` = 0.0226193173650442, 
#>     `11` = 0.0491159120835966, `12` = 0.0491159120835966, `13` = 0.0662251638898745, 
#>     `14` = 0.0491159120835966, `15` = 0.0662251638898745, `16` = 0.0226193173650442, 
#>     `17` = 0.0226193173650442, `18` = 0.0491159120835966, `19` = 0.0491159120835966, 
#>     `20` = 0.0226193173650442, `21` = 0.0226193173650442, `22` = 0.0491159120835966, 
#>     `23` = 0.0226193173650442, `24` = 0.0662251638898745, `25` = 0.0662251638898745, 
#>     `26` = 0.0226193173650442, `27` = 0.0662251638898745, `28` = 0.0662251638898745, 
#>     `29` = 0.0226193173650442, `30` = 0.0491159120835966, `31` = 0.0491159120835966, 
#>     `32` = 0.0226193173650442, `33` = 0.0226193173650442, `34` = 0.0226193173650442, 
#>     `35` = 0.0662251638898745, `36` = 0.0226193173650442, `37` = 0.0491159120835966, 
#>     `38` = 0.0491159120835966, `39` = 0.0662251638898745, `40` = 0.0226193173650442, 
#>     `41` = 0.0491159120835966, `42` = 0.0662251638898745, `43` = 0.0226193173650442, 
#>     `44` = 0.0662251638898745, `45` = 0.0226193173650442, `46` = 0.0226193173650442, 
#>     `47` = 0.0662251638898745, `48` = 0.0491159120835966, `49` = 0.0491159120835966, 
#>     `50` = 0.0226193173650442, `51` = 0.0491159120835966, `52` = 0.0226193173650442, 
#>     `53` = 0.0226193173650442, `54` = 0.0226193173650442, `55` = 0.0226193173650442, 
#>     `56` = 0.0662251638898745, `57` = 0.0491159120835966, `58` = 0.0491159120835966, 
#>     `59` = 0.0226193173650442, `60` = 0.0226193173650442, `61` = 0.0226193173650442, 
#>     `62` = 0.0226193173650442, `63` = 0.0226193173650442, `64` = 0.0491159120835966, 
#>     `65` = 0.0662251638898745, `66` = 0.0226193173650442, `67` = 0.0226193173650442, 
#>     `68` = 0.0226193173650442, `69` = 0.0226193173650442, `70` = 0.0491159120835966, 
#>     `71` = 0.0491159120835966, `72` = 0.0226193173650442, `73` = 0.0226193173650442, 
#>     `74` = 0.0491159120835966, `75` = 0.0226193173650442, `76` = 0.0226193173650442, 
#>     `77` = 0.0491159120835966, `78` = 0.0226193173650442, `79` = 0.0226193173650442, 
#>     `80` = 0.0226193173650442, `81` = 0.0662251638898745, `82` = 0.0226193173650442, 
#>     `83` = 0.0226193173650442, `84` = 0.0226193173650442, `85` = 0.0226193173650442, 
#>     `86` = 0.0662251638898745, `87` = 0.0226193173650442, `88` = 0.0491159120835966, 
#>     `89` = 0.0662251638898745, `90` = 0.0226193173650442, `91` = 0.0226193173650442, 
#>     `92` = 0.0226193173650442, `93` = 0.0226193173650442, `94` = 0.0491159120835966, 
#>     `95` = 0.0226193173650442, `96` = 0.0662251638898745, `97` = 0.0226193173650442, 
#>     `98` = 0.0662251638898745, `99` = 0.0491159120835966, `100` = 0.0226193173650442, 
#>     `101` = 0.0226193173650442, `102` = 0.0491159120835966, `103` = 0.0662251638898745, 
#>     `104` = 0.0491159120835966, `105` = 0.0226193173650442, `106` = 0.0226193173650442, 
#>     `107` = 0.0662251638898745, `108` = 0.0226193173650442, `109` = 0.0491159120835966, 
#>     `110` = 0.0226193173650442, `111` = 0.0662251638898745, `112` = 0.0491159120835966, 
#>     `113` = 0.0662251638898745, `114` = 0.0226193173650442, `115` = 0.0491159120835966, 
#>     `116` = 0.0662251638898745, `117` = 0.0226193173650442, `118` = 0.0226193173650442, 
#>     `119` = 0.0491159120835966, `120` = 0.0491159120835966, `121` = 0.0226193173650442, 
#>     `122` = 0.0662251638898745, `123` = 0.0226193173650442, `124` = 0.0226193173650442, 
#>     `125` = 0.0491159120835966, `126` = 0.0226193173650442, `127` = 0.0226193173650442, 
#>     `128` = 0.0226193173650442, `129` = 0.0226193173650442, `130` = 0.0662251638898745, 
#>     `131` = 0.0491159120835966, `132` = 0.0491159120835966, `133` = 0.0662251638898745, 
#>     `134` = 0.0226193173650442, `135` = 0.0226193173650442, `136` = 0.0491159120835966, 
#>     `137` = 0.0226193173650442, `138` = 0.0662251638898745, `139` = 0.0226193173650442, 
#>     `140` = 0.0491159120835966, `141` = 0.0226193173650442, `142` = 0.0491159120835966, 
#>     `143` = 0.0226193173650442, `144` = 0.0662251638898745, `145` = 0.0662251638898745, 
#>     `146` = 0.0226193173650442, `147` = 0.0662251638898745, `148` = 0.0662251638898745, 
#>     `149` = 0.0226193173650442, `150` = 0.0662251638898745, `151` = 0.0491159120835966, 
#>     `152` = 0.0226193173650442, `153` = 0.0226193173650442, `154` = 0.0491159120835966, 
#>     `155` = 0.0226193173650442, `156` = 0.0491159120835966, `157` = 0.0491159120835966, 
#>     `158` = 0.0491159120835966, `159` = 0.0662251638898745, `160` = 0.0226193173650442, 
#>     `161` = 0.0491159120835966, `162` = 0.0226193173650442, `163` = 0.0662251638898745, 
#>     `164` = 0.0662251638898745, `165` = 0.0226193173650442, `166` = 0.0662251638898745, 
#>     `167` = 0.0662251638898745, `168` = 0.0662251638898745, `169` = 0.0662251638898745, 
#>     `170` = 0.0491159120835966, `171` = 0.0491159120835966, `172` = 0.0226193173650442, 
#>     `173` = 0.0491159120835966, `174` = 0.0662251638898745, `175` = 0.0491159120835966, 
#>     `176` = 0.0662251638898745, `177` = 0.0662251638898745, `178` = 0.0662251638898745, 
#>     `179` = 0.0226193173650442, `180` = 0.0662251638898745, `181` = 0.0491159120835966, 
#>     `182` = 0.0662251638898745, `183` = 0.0226193173650442, `184` = 0.0491159120835966, 
#>     `185` = 0.0226193173650442, `186` = 0.0226193173650442, `187` = 0.0226193173650442, 
#>     `188` = 0.0226193173650442, `189` = 0.0226193173650442, `190` = 0.0662251638898745, 
#>     `191` = 0.0226193173650442, `192` = 0.0662251638898745, `193` = 0.0662251638898745, 
#>     `194` = 0.0226193173650442, `195` = 0.0226193173650442, `196` = 0.0226193173650442, 
#>     `197` = 0.0662251638898745, `198` = 0.0491159120835966, `199` = 0.0226193173650442, 
#>     `200` = 0.0662251638898745), allprob = list(pw = c(0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745)), call = (function (object, ...) 
#>     UseMethod("update"))(list(cluster = list(id = 1:200), strata = list(
#>         stype = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
#>         3L, 2L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 
#>         1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 
#>         1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 
#>         1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 
#>         1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 
#>         1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
#>         1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 
#>         1L, 1L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 
#>         2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 
#>         2L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>         1L, 1L, 1L, 2L, 3L, 1L, 2L)), has.strata = TRUE, prob = c(`1` = 0.0226193173650442, 
#>     `2` = 0.0226193173650442, `3` = 0.0226193173650442, `4` = 0.0226193173650442, 
#>     `5` = 0.0226193173650442, `6` = 0.0226193173650442, `7` = 0.0226193173650442, 
#>     `8` = 0.0226193173650442, `9` = 0.0226193173650442, `10` = 0.0226193173650442, 
#>     `11` = 0.0491159120835966, `12` = 0.0491159120835966, `13` = 0.0662251638898745, 
#>     `14` = 0.0491159120835966, `15` = 0.0662251638898745, `16` = 0.0226193173650442, 
#>     `17` = 0.0226193173650442, `18` = 0.0491159120835966, `19` = 0.0491159120835966, 
#>     `20` = 0.0226193173650442, `21` = 0.0226193173650442, `22` = 0.0491159120835966, 
#>     `23` = 0.0226193173650442, `24` = 0.0662251638898745, `25` = 0.0662251638898745, 
#>     `26` = 0.0226193173650442, `27` = 0.0662251638898745, `28` = 0.0662251638898745, 
#>     `29` = 0.0226193173650442, `30` = 0.0491159120835966, `31` = 0.0491159120835966, 
#>     `32` = 0.0226193173650442, `33` = 0.0226193173650442, `34` = 0.0226193173650442, 
#>     `35` = 0.0662251638898745, `36` = 0.0226193173650442, `37` = 0.0491159120835966, 
#>     `38` = 0.0491159120835966, `39` = 0.0662251638898745, `40` = 0.0226193173650442, 
#>     `41` = 0.0491159120835966, `42` = 0.0662251638898745, `43` = 0.0226193173650442, 
#>     `44` = 0.0662251638898745, `45` = 0.0226193173650442, `46` = 0.0226193173650442, 
#>     `47` = 0.0662251638898745, `48` = 0.0491159120835966, `49` = 0.0491159120835966, 
#>     `50` = 0.0226193173650442, `51` = 0.0491159120835966, `52` = 0.0226193173650442, 
#>     `53` = 0.0226193173650442, `54` = 0.0226193173650442, `55` = 0.0226193173650442, 
#>     `56` = 0.0662251638898745, `57` = 0.0491159120835966, `58` = 0.0491159120835966, 
#>     `59` = 0.0226193173650442, `60` = 0.0226193173650442, `61` = 0.0226193173650442, 
#>     `62` = 0.0226193173650442, `63` = 0.0226193173650442, `64` = 0.0491159120835966, 
#>     `65` = 0.0662251638898745, `66` = 0.0226193173650442, `67` = 0.0226193173650442, 
#>     `68` = 0.0226193173650442, `69` = 0.0226193173650442, `70` = 0.0491159120835966, 
#>     `71` = 0.0491159120835966, `72` = 0.0226193173650442, `73` = 0.0226193173650442, 
#>     `74` = 0.0491159120835966, `75` = 0.0226193173650442, `76` = 0.0226193173650442, 
#>     `77` = 0.0491159120835966, `78` = 0.0226193173650442, `79` = 0.0226193173650442, 
#>     `80` = 0.0226193173650442, `81` = 0.0662251638898745, `82` = 0.0226193173650442, 
#>     `83` = 0.0226193173650442, `84` = 0.0226193173650442, `85` = 0.0226193173650442, 
#>     `86` = 0.0662251638898745, `87` = 0.0226193173650442, `88` = 0.0491159120835966, 
#>     `89` = 0.0662251638898745, `90` = 0.0226193173650442, `91` = 0.0226193173650442, 
#>     `92` = 0.0226193173650442, `93` = 0.0226193173650442, `94` = 0.0491159120835966, 
#>     `95` = 0.0226193173650442, `96` = 0.0662251638898745, `97` = 0.0226193173650442, 
#>     `98` = 0.0662251638898745, `99` = 0.0491159120835966, `100` = 0.0226193173650442, 
#>     `101` = 0.0226193173650442, `102` = 0.0491159120835966, `103` = 0.0662251638898745, 
#>     `104` = 0.0491159120835966, `105` = 0.0226193173650442, `106` = 0.0226193173650442, 
#>     `107` = 0.0662251638898745, `108` = 0.0226193173650442, `109` = 0.0491159120835966, 
#>     `110` = 0.0226193173650442, `111` = 0.0662251638898745, `112` = 0.0491159120835966, 
#>     `113` = 0.0662251638898745, `114` = 0.0226193173650442, `115` = 0.0491159120835966, 
#>     `116` = 0.0662251638898745, `117` = 0.0226193173650442, `118` = 0.0226193173650442, 
#>     `119` = 0.0491159120835966, `120` = 0.0491159120835966, `121` = 0.0226193173650442, 
#>     `122` = 0.0662251638898745, `123` = 0.0226193173650442, `124` = 0.0226193173650442, 
#>     `125` = 0.0491159120835966, `126` = 0.0226193173650442, `127` = 0.0226193173650442, 
#>     `128` = 0.0226193173650442, `129` = 0.0226193173650442, `130` = 0.0662251638898745, 
#>     `131` = 0.0491159120835966, `132` = 0.0491159120835966, `133` = 0.0662251638898745, 
#>     `134` = 0.0226193173650442, `135` = 0.0226193173650442, `136` = 0.0491159120835966, 
#>     `137` = 0.0226193173650442, `138` = 0.0662251638898745, `139` = 0.0226193173650442, 
#>     `140` = 0.0491159120835966, `141` = 0.0226193173650442, `142` = 0.0491159120835966, 
#>     `143` = 0.0226193173650442, `144` = 0.0662251638898745, `145` = 0.0662251638898745, 
#>     `146` = 0.0226193173650442, `147` = 0.0662251638898745, `148` = 0.0662251638898745, 
#>     `149` = 0.0226193173650442, `150` = 0.0662251638898745, `151` = 0.0491159120835966, 
#>     `152` = 0.0226193173650442, `153` = 0.0226193173650442, `154` = 0.0491159120835966, 
#>     `155` = 0.0226193173650442, `156` = 0.0491159120835966, `157` = 0.0491159120835966, 
#>     `158` = 0.0491159120835966, `159` = 0.0662251638898745, `160` = 0.0226193173650442, 
#>     `161` = 0.0491159120835966, `162` = 0.0226193173650442, `163` = 0.0662251638898745, 
#>     `164` = 0.0662251638898745, `165` = 0.0226193173650442, `166` = 0.0662251638898745, 
#>     `167` = 0.0662251638898745, `168` = 0.0662251638898745, `169` = 0.0662251638898745, 
#>     `170` = 0.0491159120835966, `171` = 0.0491159120835966, `172` = 0.0226193173650442, 
#>     `173` = 0.0491159120835966, `174` = 0.0662251638898745, `175` = 0.0491159120835966, 
#>     `176` = 0.0662251638898745, `177` = 0.0662251638898745, `178` = 0.0662251638898745, 
#>     `179` = 0.0226193173650442, `180` = 0.0662251638898745, `181` = 0.0491159120835966, 
#>     `182` = 0.0662251638898745, `183` = 0.0226193173650442, `184` = 0.0491159120835966, 
#>     `185` = 0.0226193173650442, `186` = 0.0226193173650442, `187` = 0.0226193173650442, 
#>     `188` = 0.0226193173650442, `189` = 0.0226193173650442, `190` = 0.0662251638898745, 
#>     `191` = 0.0226193173650442, `192` = 0.0662251638898745, `193` = 0.0662251638898745, 
#>     `194` = 0.0226193173650442, `195` = 0.0226193173650442, `196` = 0.0226193173650442, 
#>     `197` = 0.0662251638898745, `198` = 0.0491159120835966, `199` = 0.0226193173650442, 
#>     `200` = 0.0662251638898745), allprob = list(pw = c(0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745)), call = (function (object, ...) 
#>     UseMethod("update"))(list(cluster = list(id = 1:200), strata = list(
#>         stype = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
#>         3L, 2L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 
#>         1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 
#>         1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 
#>         1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 
#>         1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 
#>         1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
#>         1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 
#>         1L, 1L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 
#>         2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 
#>         2L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>         1L, 1L, 1L, 2L, 3L, 1L, 2L)), has.strata = TRUE, prob = c(`1` = 0.0226193173650442, 
#>     `2` = 0.0226193173650442, `3` = 0.0226193173650442, `4` = 0.0226193173650442, 
#>     `5` = 0.0226193173650442, `6` = 0.0226193173650442, `7` = 0.0226193173650442, 
#>     `8` = 0.0226193173650442, `9` = 0.0226193173650442, `10` = 0.0226193173650442, 
#>     `11` = 0.0491159120835966, `12` = 0.0491159120835966, `13` = 0.0662251638898745, 
#>     `14` = 0.0491159120835966, `15` = 0.0662251638898745, `16` = 0.0226193173650442, 
#>     `17` = 0.0226193173650442, `18` = 0.0491159120835966, `19` = 0.0491159120835966, 
#>     `20` = 0.0226193173650442, `21` = 0.0226193173650442, `22` = 0.0491159120835966, 
#>     `23` = 0.0226193173650442, `24` = 0.0662251638898745, `25` = 0.0662251638898745, 
#>     `26` = 0.0226193173650442, `27` = 0.0662251638898745, `28` = 0.0662251638898745, 
#>     `29` = 0.0226193173650442, `30` = 0.0491159120835966, `31` = 0.0491159120835966, 
#>     `32` = 0.0226193173650442, `33` = 0.0226193173650442, `34` = 0.0226193173650442, 
#>     `35` = 0.0662251638898745, `36` = 0.0226193173650442, `37` = 0.0491159120835966, 
#>     `38` = 0.0491159120835966, `39` = 0.0662251638898745, `40` = 0.0226193173650442, 
#>     `41` = 0.0491159120835966, `42` = 0.0662251638898745, `43` = 0.0226193173650442, 
#>     `44` = 0.0662251638898745, `45` = 0.0226193173650442, `46` = 0.0226193173650442, 
#>     `47` = 0.0662251638898745, `48` = 0.0491159120835966, `49` = 0.0491159120835966, 
#>     `50` = 0.0226193173650442, `51` = 0.0491159120835966, `52` = 0.0226193173650442, 
#>     `53` = 0.0226193173650442, `54` = 0.0226193173650442, `55` = 0.0226193173650442, 
#>     `56` = 0.0662251638898745, `57` = 0.0491159120835966, `58` = 0.0491159120835966, 
#>     `59` = 0.0226193173650442, `60` = 0.0226193173650442, `61` = 0.0226193173650442, 
#>     `62` = 0.0226193173650442, `63` = 0.0226193173650442, `64` = 0.0491159120835966, 
#>     `65` = 0.0662251638898745, `66` = 0.0226193173650442, `67` = 0.0226193173650442, 
#>     `68` = 0.0226193173650442, `69` = 0.0226193173650442, `70` = 0.0491159120835966, 
#>     `71` = 0.0491159120835966, `72` = 0.0226193173650442, `73` = 0.0226193173650442, 
#>     `74` = 0.0491159120835966, `75` = 0.0226193173650442, `76` = 0.0226193173650442, 
#>     `77` = 0.0491159120835966, `78` = 0.0226193173650442, `79` = 0.0226193173650442, 
#>     `80` = 0.0226193173650442, `81` = 0.0662251638898745, `82` = 0.0226193173650442, 
#>     `83` = 0.0226193173650442, `84` = 0.0226193173650442, `85` = 0.0226193173650442, 
#>     `86` = 0.0662251638898745, `87` = 0.0226193173650442, `88` = 0.0491159120835966, 
#>     `89` = 0.0662251638898745, `90` = 0.0226193173650442, `91` = 0.0226193173650442, 
#>     `92` = 0.0226193173650442, `93` = 0.0226193173650442, `94` = 0.0491159120835966, 
#>     `95` = 0.0226193173650442, `96` = 0.0662251638898745, `97` = 0.0226193173650442, 
#>     `98` = 0.0662251638898745, `99` = 0.0491159120835966, `100` = 0.0226193173650442, 
#>     `101` = 0.0226193173650442, `102` = 0.0491159120835966, `103` = 0.0662251638898745, 
#>     `104` = 0.0491159120835966, `105` = 0.0226193173650442, `106` = 0.0226193173650442, 
#>     `107` = 0.0662251638898745, `108` = 0.0226193173650442, `109` = 0.0491159120835966, 
#>     `110` = 0.0226193173650442, `111` = 0.0662251638898745, `112` = 0.0491159120835966, 
#>     `113` = 0.0662251638898745, `114` = 0.0226193173650442, `115` = 0.0491159120835966, 
#>     `116` = 0.0662251638898745, `117` = 0.0226193173650442, `118` = 0.0226193173650442, 
#>     `119` = 0.0491159120835966, `120` = 0.0491159120835966, `121` = 0.0226193173650442, 
#>     `122` = 0.0662251638898745, `123` = 0.0226193173650442, `124` = 0.0226193173650442, 
#>     `125` = 0.0491159120835966, `126` = 0.0226193173650442, `127` = 0.0226193173650442, 
#>     `128` = 0.0226193173650442, `129` = 0.0226193173650442, `130` = 0.0662251638898745, 
#>     `131` = 0.0491159120835966, `132` = 0.0491159120835966, `133` = 0.0662251638898745, 
#>     `134` = 0.0226193173650442, `135` = 0.0226193173650442, `136` = 0.0491159120835966, 
#>     `137` = 0.0226193173650442, `138` = 0.0662251638898745, `139` = 0.0226193173650442, 
#>     `140` = 0.0491159120835966, `141` = 0.0226193173650442, `142` = 0.0491159120835966, 
#>     `143` = 0.0226193173650442, `144` = 0.0662251638898745, `145` = 0.0662251638898745, 
#>     `146` = 0.0226193173650442, `147` = 0.0662251638898745, `148` = 0.0662251638898745, 
#>     `149` = 0.0226193173650442, `150` = 0.0662251638898745, `151` = 0.0491159120835966, 
#>     `152` = 0.0226193173650442, `153` = 0.0226193173650442, `154` = 0.0491159120835966, 
#>     `155` = 0.0226193173650442, `156` = 0.0491159120835966, `157` = 0.0491159120835966, 
#>     `158` = 0.0491159120835966, `159` = 0.0662251638898745, `160` = 0.0226193173650442, 
#>     `161` = 0.0491159120835966, `162` = 0.0226193173650442, `163` = 0.0662251638898745, 
#>     `164` = 0.0662251638898745, `165` = 0.0226193173650442, `166` = 0.0662251638898745, 
#>     `167` = 0.0662251638898745, `168` = 0.0662251638898745, `169` = 0.0662251638898745, 
#>     `170` = 0.0491159120835966, `171` = 0.0491159120835966, `172` = 0.0226193173650442, 
#>     `173` = 0.0491159120835966, `174` = 0.0662251638898745, `175` = 0.0491159120835966, 
#>     `176` = 0.0662251638898745, `177` = 0.0662251638898745, `178` = 0.0662251638898745, 
#>     `179` = 0.0226193173650442, `180` = 0.0662251638898745, `181` = 0.0491159120835966, 
#>     `182` = 0.0662251638898745, `183` = 0.0226193173650442, `184` = 0.0491159120835966, 
#>     `185` = 0.0226193173650442, `186` = 0.0226193173650442, `187` = 0.0226193173650442, 
#>     `188` = 0.0226193173650442, `189` = 0.0226193173650442, `190` = 0.0662251638898745, 
#>     `191` = 0.0226193173650442, `192` = 0.0662251638898745, `193` = 0.0662251638898745, 
#>     `194` = 0.0226193173650442, `195` = 0.0226193173650442, `196` = 0.0226193173650442, 
#>     `197` = 0.0662251638898745, `198` = 0.0491159120835966, `199` = 0.0226193173650442, 
#>     `200` = 0.0662251638898745), allprob = list(pw = c(0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745)), call = (function (object, ...) 
#>     UseMethod("update"))(list(cluster = list(id = 1:200), strata = list(
#>         stype = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
#>         3L, 2L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 
#>         1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 
#>         1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 
#>         1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 
#>         1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 
#>         1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
#>         1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 
#>         1L, 1L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 
#>         2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 
#>         2L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>         1L, 1L, 1L, 2L, 3L, 1L, 2L)), has.strata = TRUE, prob = c(`1` = 0.0226193173650442, 
#>     `2` = 0.0226193173650442, `3` = 0.0226193173650442, `4` = 0.0226193173650442, 
#>     `5` = 0.0226193173650442, `6` = 0.0226193173650442, `7` = 0.0226193173650442, 
#>     `8` = 0.0226193173650442, `9` = 0.0226193173650442, `10` = 0.0226193173650442, 
#>     `11` = 0.0491159120835966, `12` = 0.0491159120835966, `13` = 0.0662251638898745, 
#>     `14` = 0.0491159120835966, `15` = 0.0662251638898745, `16` = 0.0226193173650442, 
#>     `17` = 0.0226193173650442, `18` = 0.0491159120835966, `19` = 0.0491159120835966, 
#>     `20` = 0.0226193173650442, `21` = 0.0226193173650442, `22` = 0.0491159120835966, 
#>     `23` = 0.0226193173650442, `24` = 0.0662251638898745, `25` = 0.0662251638898745, 
#>     `26` = 0.0226193173650442, `27` = 0.0662251638898745, `28` = 0.0662251638898745, 
#>     `29` = 0.0226193173650442, `30` = 0.0491159120835966, `31` = 0.0491159120835966, 
#>     `32` = 0.0226193173650442, `33` = 0.0226193173650442, `34` = 0.0226193173650442, 
#>     `35` = 0.0662251638898745, `36` = 0.0226193173650442, `37` = 0.0491159120835966, 
#>     `38` = 0.0491159120835966, `39` = 0.0662251638898745, `40` = 0.0226193173650442, 
#>     `41` = 0.0491159120835966, `42` = 0.0662251638898745, `43` = 0.0226193173650442, 
#>     `44` = 0.0662251638898745, `45` = 0.0226193173650442, `46` = 0.0226193173650442, 
#>     `47` = 0.0662251638898745, `48` = 0.0491159120835966, `49` = 0.0491159120835966, 
#>     `50` = 0.0226193173650442, `51` = 0.0491159120835966, `52` = 0.0226193173650442, 
#>     `53` = 0.0226193173650442, `54` = 0.0226193173650442, `55` = 0.0226193173650442, 
#>     `56` = 0.0662251638898745, `57` = 0.0491159120835966, `58` = 0.0491159120835966, 
#>     `59` = 0.0226193173650442, `60` = 0.0226193173650442, `61` = 0.0226193173650442, 
#>     `62` = 0.0226193173650442, `63` = 0.0226193173650442, `64` = 0.0491159120835966, 
#>     `65` = 0.0662251638898745, `66` = 0.0226193173650442, `67` = 0.0226193173650442, 
#>     `68` = 0.0226193173650442, `69` = 0.0226193173650442, `70` = 0.0491159120835966, 
#>     `71` = 0.0491159120835966, `72` = 0.0226193173650442, `73` = 0.0226193173650442, 
#>     `74` = 0.0491159120835966, `75` = 0.0226193173650442, `76` = 0.0226193173650442, 
#>     `77` = 0.0491159120835966, `78` = 0.0226193173650442, `79` = 0.0226193173650442, 
#>     `80` = 0.0226193173650442, `81` = 0.0662251638898745, `82` = 0.0226193173650442, 
#>     `83` = 0.0226193173650442, `84` = 0.0226193173650442, `85` = 0.0226193173650442, 
#>     `86` = 0.0662251638898745, `87` = 0.0226193173650442, `88` = 0.0491159120835966, 
#>     `89` = 0.0662251638898745, `90` = 0.0226193173650442, `91` = 0.0226193173650442, 
#>     `92` = 0.0226193173650442, `93` = 0.0226193173650442, `94` = 0.0491159120835966, 
#>     `95` = 0.0226193173650442, `96` = 0.0662251638898745, `97` = 0.0226193173650442, 
#>     `98` = 0.0662251638898745, `99` = 0.0491159120835966, `100` = 0.0226193173650442, 
#>     `101` = 0.0226193173650442, `102` = 0.0491159120835966, `103` = 0.0662251638898745, 
#>     `104` = 0.0491159120835966, `105` = 0.0226193173650442, `106` = 0.0226193173650442, 
#>     `107` = 0.0662251638898745, `108` = 0.0226193173650442, `109` = 0.0491159120835966, 
#>     `110` = 0.0226193173650442, `111` = 0.0662251638898745, `112` = 0.0491159120835966, 
#>     `113` = 0.0662251638898745, `114` = 0.0226193173650442, `115` = 0.0491159120835966, 
#>     `116` = 0.0662251638898745, `117` = 0.0226193173650442, `118` = 0.0226193173650442, 
#>     `119` = 0.0491159120835966, `120` = 0.0491159120835966, `121` = 0.0226193173650442, 
#>     `122` = 0.0662251638898745, `123` = 0.0226193173650442, `124` = 0.0226193173650442, 
#>     `125` = 0.0491159120835966, `126` = 0.0226193173650442, `127` = 0.0226193173650442, 
#>     `128` = 0.0226193173650442, `129` = 0.0226193173650442, `130` = 0.0662251638898745, 
#>     `131` = 0.0491159120835966, `132` = 0.0491159120835966, `133` = 0.0662251638898745, 
#>     `134` = 0.0226193173650442, `135` = 0.0226193173650442, `136` = 0.0491159120835966, 
#>     `137` = 0.0226193173650442, `138` = 0.0662251638898745, `139` = 0.0226193173650442, 
#>     `140` = 0.0491159120835966, `141` = 0.0226193173650442, `142` = 0.0491159120835966, 
#>     `143` = 0.0226193173650442, `144` = 0.0662251638898745, `145` = 0.0662251638898745, 
#>     `146` = 0.0226193173650442, `147` = 0.0662251638898745, `148` = 0.0662251638898745, 
#>     `149` = 0.0226193173650442, `150` = 0.0662251638898745, `151` = 0.0491159120835966, 
#>     `152` = 0.0226193173650442, `153` = 0.0226193173650442, `154` = 0.0491159120835966, 
#>     `155` = 0.0226193173650442, `156` = 0.0491159120835966, `157` = 0.0491159120835966, 
#>     `158` = 0.0491159120835966, `159` = 0.0662251638898745, `160` = 0.0226193173650442, 
#>     `161` = 0.0491159120835966, `162` = 0.0226193173650442, `163` = 0.0662251638898745, 
#>     `164` = 0.0662251638898745, `165` = 0.0226193173650442, `166` = 0.0662251638898745, 
#>     `167` = 0.0662251638898745, `168` = 0.0662251638898745, `169` = 0.0662251638898745, 
#>     `170` = 0.0491159120835966, `171` = 0.0491159120835966, `172` = 0.0226193173650442, 
#>     `173` = 0.0491159120835966, `174` = 0.0662251638898745, `175` = 0.0491159120835966, 
#>     `176` = 0.0662251638898745, `177` = 0.0662251638898745, `178` = 0.0662251638898745, 
#>     `179` = 0.0226193173650442, `180` = 0.0662251638898745, `181` = 0.0491159120835966, 
#>     `182` = 0.0662251638898745, `183` = 0.0226193173650442, `184` = 0.0491159120835966, 
#>     `185` = 0.0226193173650442, `186` = 0.0226193173650442, `187` = 0.0226193173650442, 
#>     `188` = 0.0226193173650442, `189` = 0.0226193173650442, `190` = 0.0662251638898745, 
#>     `191` = 0.0226193173650442, `192` = 0.0662251638898745, `193` = 0.0662251638898745, 
#>     `194` = 0.0226193173650442, `195` = 0.0226193173650442, `196` = 0.0226193173650442, 
#>     `197` = 0.0662251638898745, `198` = 0.0491159120835966, `199` = 0.0226193173650442, 
#>     `200` = 0.0662251638898745), allprob = list(pw = c(0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0491159120835966, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0226193173650442, 0.0662251638898745, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0491159120835966, 0.0491159120835966, 0.0226193173650442, 
#>     0.0491159120835966, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0491159120835966, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0491159120835966, 0.0226193173650442, 
#>     0.0662251638898745)), call = (function (object, ...) 
#>     UseMethod("update"))(list(cluster = list(id = 1:200), strata = list(
#>         stype = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
#>         3L, 2L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 
#>         1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 
#>         1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 
#>         1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 
#>         1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 
#>         1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
#>         1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 
#>         2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 
#>         1L, 1L, 3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 
#>         2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 
#>         2L, 3L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>         1L, 1L, 1L, 2L, 3L, 1L, 2L)), has.strata = TRUE, prob = c(`1` = 0.0226193173650442, 
#>     `2` = 0.0226193173650442, `3` = 0.0226193173650442, `4` = 0.0226193173650442, 
#>     `5` = 0.0226193173650442, `6` = 0.0226193173650442, `7` = 0.0226193173650442, 
#>     `8` = 0.0226193173650442, `9` = 0.0226193173650442, `10` = 0.0226193173650442, 
#>     `11` = 0.0491159120835966, `12` = 0.0491159120835966, `13` = 0.0662251638898745, 
#>     `14` = 0.0491159120835966, `15` = 0.0662251638898745, `16` = 0.0226193173650442, 
#>     `17` = 0.0226193173650442, `18` = 0.0491159120835966, `19` = 0.0491159120835966, 
#>     `20` = 0.0226193173650442, `21` = 0.0226193173650442, `22` = 0.0491159120835966, 
#>     `23` = 0.0226193173650442, `24` = 0.0662251638898745, `25` = 0.0662251638898745, 
#>     `26` = 0.0226193173650442, `27` = 0.0662251638898745, `28` = 0.0662251638898745, 
#>     `29` = 0.0226193173650442, `30` = 0.0491159120835966, `31` = 0.0491159120835966, 
#>     `32` = 0.0226193173650442, `33` = 0.0226193173650442, `34` = 0.0226193173650442, 
#>     `35` = 0.0662251638898745, `36` = 0.0226193173650442, `37` = 0.0491159120835966, 
#>     `38` = 0.0491159120835966, `39` = 0.0662251638898745, `40` = 0.0226193173650442, 
#>     `41` = 0.0491159120835966, `42` = 0.0662251638898745, `43` = 0.0226193173650442, 
#>     `44` = 0.0662251638898745, `45` = 0.0226193173650442, `46` = 0.0226193173650442, 
#>     `47` = 0.0662251638898745, `48` = 0.0491159120835966, `49` = 0.0491159120835966, 
#>     `50` = 0.0226193173650442, `51` = 0.0491159120835966, `52` = 0.0226193173650442, 
#>     `53` = 0.0226193173650442, `54` = 0.0226193173650442, `55` = 0.0226193173650442, 
#>     `56` = 0.0662251638898745, `57` = 0.0491159120835966, `58` = 0.0491159120835966, 
#>     `59` = 0.0226193173650442, `60` = 0.0226193173650442, `61` = 0.0226193173650442, 
#>     `62` = 0.0226193173650442, `63` = 0.0226193173650442, `64` = 0.0491159120835966, 
#>     `65` = 0.0662251638898745, `66` = 0.0226193173650442, `67` = 0.0226193173650442, 
#>     `68` = 0.0226193173650442, `69` = 0.0226193173650442, `70` = 0.0491159120835966, 
#>     `71` = 0.0491159120835966, `72` = 0.0226193173650442, `73` = 0.0226193173650442, 
#>     `74` = 0.0491159120835966, `75` = 0.0226193173650442, `76` = 0.0226193173650442, 
#>     `77` = 0.0491159120835966, `78` = 0.0226193173650442, `79` = 0.0226193173650442, 
#>     `80` = 0.0226193173650442, `81` = 0.0662251638898745, `82` = 0.0226193173650442, 
#>     `83` = 0.0226193173650442, `84` = 0.0226193173650442, `85` = 0.0226193173650442, 
#>     `86` = 0.0662251638898745, `87` = 0.0226193173650442, `88` = 0.0491159120835966, 
#>     `89` = 0.0662251638898745, `90` = 0.0226193173650442, `91` = 0.0226193173650442, 
#>     `92` = 0.0226193173650442, `93` = 0.0226193173650442, `94` = 0.0491159120835966, 
#>     `95` = 0.0226193173650442, `96` = 0.0662251638898745, `97` = 0.0226193173650442, 
#>     `98` = 0.0662251638898745, `99` = 0.0491159120835966, `100` = 0.0226193173650442, 
#>     `101` = 0.0226193173650442, `102` = 0.0491159120835966, `103` = 0.0662251638898745, 
#>     `104` = 0.0491159120835966, `105` = 0.0226193173650442, `106` = 0.0226193173650442, 
#>     `107` = 0.0662251638898745, `108` = 0.0226193173650442, `109` = 0.0491159120835966, 
#>     `110` = 0.0226193173650442, `111` = 0.0662251638898745, `112` = 0.0491159120835966, 
#>     `113` = 0.0662251638898745, `114` = 0.0226193173650442, `115` = 0.0491159120835966, 
#>     `116` = 0.0662251638898745, `117` = 0.0226193173650442, `118` = 0.0226193173650442, 
#>     `119` = 0.0491159120835966, `120` = 0.0491159120835966, `121` = 0.0226193173650442, 
#>     `122` = 0.0662251638898745, `123` = 0.0226193173650442, `124` = 0.0226193173650442, 
#>     `125` = 0.0491159120835966, `126` = 0.0226193173650442, `127` = 0.0226193173650442, 
#>     `128` = 0.0226193173650442, `129` = 0.0226193173650442, `130` = 0.0662251638898745, 
#>     `131` = 0.0491159120835966, `132` = 0.0491159120835966, `133` = 0.0662251638898745, 
#>     `134` = 0.0226193173650442, `135` = 0.0226193173650442, `136` = 0.0491159120835966, 
#>     `137` = 0.0226193173650442, `138` = 0.0662251638898745, `139` = 0.0226193173650442, 
#>     `140` = 0.0491159120835966, `141` = 0.0226193173650442, `142` = 0.0491159120835966, 
#>     `143` = 0.0226193173650442, `144` = 0.0662251638898745, `145` = 0.0662251638898745, 
#>     `146` = 0.0226193173650442, `147` = 0.0662251638898745, `148` = 0.0662251638898745, 
#>     `149` = 0.0226193173650442, `150` = 0.0662251638898745, `151` = 0.0491159120835966, 
#>     `152` = 0.0226193173650442, `153` = 0.0226193173650442, `154` = 0.0491159120835966, 
#>     `155` = 0.0226193173650442, `156` = 0.0491159120835966, `157` = 0.0491159120835966, 
#>     `158` = 0.0491159120835966, `159` = 0.0662251638898745, `160` = 0.0226193173650442, 
#>     `161` = 0.0491159120835966, `162` = 0.0226193173650442, `163` = 0.0662251638898745, 
#>     `164` = 0.0662251638898745, `165` = 0.0226193173650442, `166` = 0.0662251638898745, 
#>     `167` = 0.0662251638898745, `168` = 0.0662251638898745, `169` = 0.0662251638898745, 
#>     `170` = 0.0491159120835966, `171` = 0.0491159120835966, `172` = 0.0226193173650442, 
#>     `173` = 0.0491159120835966, `174` = 0.0662251638898745, `175` = 0.0491159120835966, 
#>     `176` = 0.0662251638898745, `177` = 0.0662251638898745, `178` = 0.0662251638898745, 
#>     `179` = 0.0226193173650442, `180` = 0.0662251638898745, `181` = 0.0491159120835966, 
#>     `182` = 0.0662251638898745, `183` = 0.0226193173650442, `184` = 0.0491159120835966, 
#>     `185` = 0.0226193173650442, `186` = 0.0226193173650442, `187` = 0.0226193173650442, 
#>     `188` = 0.0226193173650442, `189` = 0.0226193173650442, `190` = 0.0662251638898745, 
#>     `191` = 0.0226193173650442, `192` = 0.0662251638898745, `193` = 0.0662251638898745, 
#>     `194` = 0.0226193173650442, `195` = 0.0226193173650442, `196` = 0.0226193173650442, 
#>     `197` = 0.0662251638898745, `198` = 0.0491159120835966, `199` = 0.0226193173650442, 
#>     `200` = 0.0662251638898745), allprob = list(pw = c(0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0491159120835966, 0.0491159120835966, 0.0662251638898745, 
#>     0.0491159120835966, 0.0662251638898745, 0.0226193173650442, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0491159120835966, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0662251638898745, 0.0662251638898745, 
#>     0.0226193173650442, 0.0491159120835966, 0.0491159120835966, 
#>     0.0226193173650442, 0.0226193173650442, 0.0226193173650442, 
#>     0.0662251638898745, 0.0226193173650442, 0.0491159120835966, 
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#>         "19642461930213", "43733876047666", "07617966057236", 
#>         "14632486008692", "37684526059810", "34674393437555", 
#>         "19647336068431", "38684783830254", "22655322235356", 
#>         "19734371931963", "23655406025084", "23656152335024", 
#>         "33671736112692", "19647331933381", "30736356101059", 
#>         "37682966038988", "01612596001994", "30665636028948", 
#>         "56726036055776", "43696906049217", "39685696105738", 
#>         "56726035630322", "33751766032056", "15634121531672", 
#>         "07617880735407", "19650526022933", "01612426001572", 
#>         "19647336018568", "33670333331600", "04755076003164", 
#>         "56724626055016", "31669513134657"), stype = c(1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 
#>         1L, 3L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 3L, 
#>         3L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 
#>         1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 
#>         1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 3L, 1L, 
#>         1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 1L, 
#>         3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 
#>         1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 3L, 
#>         1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 3L, 
#>         3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 
#>         3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 2L, 3L, 2L, 1L, 3L, 
#>         1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 
#>         1L, 2L), name = c("Open Magnet: Ce", "Belvedere Eleme", 
#>         "Altadena Elemen", "Soto Street Ele", "Walnut Canyon E", 
#>         "Atherwood Eleme", "Township Elemen", "Thorner (Dr. Ju", 
#>         "Nicoloff (Georg", "Valle Lindo Ele", "Frisbie Middle", 
#>         "Rivera (Tomas) ", "Roosevelt High", "Frick Middle", 
#>         "Rancho Verde Hi", "Corona Avenue E", "Rosita Elementa", 
#>         "Cree (Raymond) ", "Rancho San Joaq", "Orange Center E", 
#>         "Pine Street Ele", "Buchser Middle", "Frost (Earl) El", 
#>         "Farmersville Hi", "Fontana Miller ", "Crocker Highlan", 
#>         "South Hills Hig", "Rancho Cotate H", "Kentwood Elemen", 
#>         "La Presa Middle", "San Lorenzo Val", "Tibby Elementar", 
#>         "Lowell Elementa", "Centennial Elem", "Marshall Fundam", 
#>         "Miramonte Eleme", "Sierra Ridge Mi", "Carquinez Middl", 
#>         "Frazier Mountai", "Sierra Vista El", "Hillview Middle", 
#>         "Gladstone High", "Highland Ranch ", "Overfelt (Willi", 
#>         "Ophir Elementar", "Valley View Ele", "Escalon High", 
#>         "Everett Middle", "El Portal Middl", "Tustin Memorial", 
#>         "Johnson (Lloyd ", "Rocky Hill Elem", "Lassen View Ele", 
#>         "Broadacres Aven", "Kelley Elementa", "Royal High", "Benjamin Frankl", 
#>         "Marston Middle", "Monroe (James) ", "Condor Elementa", 
#>         "Vargas Elementa", "Fairgrove Acade", "Bursch Elementa", 
#>         "Doig (Leroy L.)", "Muir High", "Faller Elementa", "Legette (Earl) ", 
#>         "Highlands Eleme", "Bancroft Elemen", "Mt. Vernon Midd", 
#>         "La Mesa Jr. Hig", "McKinley Elemen", "Walker Elementa", 
#>         "Navelencia Midd", "Olson (Ione) El", "Dos Palos Eleme", 
#>         "King (Martin Lu", "Edison Elementa", "Kohn (Frank) El", 
#>         "Myrtle Avenue E", "McKinleyville H", "Mark Twain Elem", 
#>         "Stockdale Eleme", "Muir (John) Ele", "Madrone Element", 
#>         "San Diego Schoo", "Redwood Element", "Sinaloa Middle", 
#>         "El Toro High", "Leavenworth (An", "Annalee Avenue ", 
#>         "Clarksburg Elem", "Monroe Elementa", "Pine Hollow Mid", 
#>         "Merlinda Elemen", "Amador County H", "Lewis (Mary B.)", 
#>         "Downtown Busine", "Jefferson (Thom", "Elliott (Brock)", 
#>         "Murwood Element", "Benton (Reginal", "Bloomington Hig", 
#>         "Vernon Middle", "Hemlock Element", "Roosevelt Eleme", 
#>         "Tamalpais High", "Thornhill Eleme", "Brannan (Sam) M", 
#>         "Old Adobe Eleme", "San Clemente Hi", "Fairview Middle", 
#>         "Summerville Hig", "King Elementary", "Palm Middle", 
#>         "San Ramon Valle", "Wilcox Elementa", "Cantua Elementa", 
#>         "Shandin Hills M", "McFarland Middl", "Ridgeview Eleme", 
#>         "Lone Pine High", "Meadow Lane Ele", "Norman (Alyce) ", 
#>         "Evergreen Middl", "Elkhorn Element", "Lynhaven Elemen", 
#>         "Haynes Elementa", "Sun Empire Elem", "Santiago High", 
#>         "Goleta Valley J", "Willowbrook Mid", "Foothill High", 
#>         "Bryant Elementa", "Olive Drive Ele", "Sierra Middle", 
#>         "El Sereno Eleme", "Delta High", "Myra Linn Eleme", "Bryant Middle", 
#>         "Twain Elementar", "Wiltsey (Ray) M", "Miller Elementa", 
#>         "Mira Loma High", "Willow Glen Hig", "College View El", 
#>         "La Canada High", "Rancho Buena Vi", "Cali Calmecac (", 
#>         "Dominguez High", "Douglass Junior", "Dunsmore Elemen", 
#>         "Joshua Hills El", "Cabrillo Middle", "Broad Avenue El", 
#>         "Sisson Elementa", "Ralston (Dr. Wa", "Steinbeck Middl", 
#>         "Beyer (Fred C.)", "Franklin (Benja", "Silverado Middl", 
#>         "Bedell (Thelma ", "Trabuco Hills H", "O'Connell (John", 
#>         "San Joaquin Ele", "Oak Ridge High", "South San Franc", 
#>         "Hamilton (Alexa", "Antelope Valley", "Rancho Milpitas", 
#>         "Pinole Junior H", "Big Pine Elemen", "Washington Midd", 
#>         "Sacramento High", "El Sereno Middl", "Burton (Phillip", 
#>         "Mariposa County", "Compton High", "Anderson Valley", 
#>         "Ukiah High", "Workman (James)", "Garfield (James", "Del Lago Elemen", 
#>         "Meadowbrook Mid", "Laurel Elementa", "El Cerrito Elem", 
#>         "Santa Susana El", "Fairwood Elemen", "Pacific (K-8)", 
#>         "Santa Susana Hi", "Machado Element", "Delano High", 
#>         "Pittsburg Senio", "Emperor Element", "Alvarado Elemen", 
#>         "One Hundred Twe", "Corona Senior H", "Sycamore Middle", 
#>         "Larsen (Ansgar)", "Lincoln High (C"), sname = c("Open Magnet: Center for Individual (Char", 
#>         "Belvedere Elementary", "Altadena Elementary", "Soto Street Elementary", 
#>         "Walnut Canyon Elementary", "Atherwood Elementary", "Township Elementary", 
#>         "Thorner (Dr. Juliet) Elementary", "Nicoloff (George) Elementary", 
#>         "Valle Lindo Elementary", "Frisbie Middle", "Rivera (Tomas) Middle", 
#>         "Roosevelt High", "Frick Middle", "Rancho Verde High", 
#>         "Corona Avenue Elementary", "Rosita Elementary", "Cree (Raymond) Middle", 
#>         "Rancho San Joaquin Middle", "Orange Center Elementary", 
#>         "Pine Street Elementary", "Buchser Middle", "Frost (Earl) Elementary", 
#>         "Farmersville High", "Fontana Miller (A.B.) High", "Crocker Highlands Elementary", 
#>         "South Hills High", "Rancho Cotate High", "Kentwood Elementary", 
#>         "La Presa Middle", "San Lorenzo Valley Junior High", 
#>         "Tibby Elementary", "Lowell Elementary", "Centennial Elementary", 
#>         "Marshall Fundamental", "Miramonte Elementary", "Sierra Ridge Middle", 
#>         "Carquinez Middle", "Frazier Mountain High", "Sierra Vista Elementary", 
#>         "Hillview Middle", "Gladstone High", "Highland Ranch Elementary", 
#>         "Overfelt (William C.) High", "Ophir Elementary", "Valley View Elementary", 
#>         "Escalon High", "Everett Middle", "El Portal Middle", 
#>         "Tustin Memorial Elementary", "Johnson (Lloyd G.) Jr. High", 
#>         "Rocky Hill Elementary", "Lassen View Elementary", "Broadacres Avenue Elementary", 
#>         "Kelley Elementary", "Royal High", "Benjamin Franklin Middle", 
#>         "Marston Middle", "Monroe (James) Elementary", "Condor Elementary", 
#>         "Vargas Elementary", "Fairgrove Academy (K-8)", "Bursch Elementary", 
#>         "Doig (Leroy L.) Intermediate", "Muir High", "Faller Elementary", 
#>         "Legette (Earl) Elementary", "Highlands Elementary", 
#>         "Bancroft Elementary", "Mt. Vernon Middle", "La Mesa Jr. High", 
#>         "McKinley Elementary", "Walker Elementary", "Navelencia Middle", 
#>         "Olson (Ione) Elementary", "Dos Palos Elementary", "King (Martin Luther Jr) Middle", 
#>         "Edison Elementary", "Kohn (Frank) Elementary", "Myrtle Avenue Elementary", 
#>         "McKinleyville High", "Mark Twain Elementary", "Stockdale Elementary", 
#>         "Muir (John) Elementary", "Madrone Elementary", "San Diego School of Creative & Performin", 
#>         "Redwood Elementary", "Sinaloa Middle", "El Toro High", 
#>         "Leavenworth (Ann B.) Elementary", "Annalee Avenue Elementary", 
#>         "Clarksburg Elementary", "Monroe Elementary", "Pine Hollow Middle", 
#>         "Merlinda Elementary", "Amador County High", "Lewis (Mary B.) Elementary", 
#>         "Downtown Business High", "Jefferson (Thomas) Middle", 
#>         "Elliott (Brock) Elementary", "Murwood Elementary", "Benton (Reginald M.) Middle", 
#>         "Bloomington High", "Vernon Middle", "Hemlock Elementary", 
#>         "Roosevelt Elementary", "Tamalpais High", "Thornhill Elementary", 
#>         "Brannan (Sam) Middle", "Old Adobe Elementary", "San Clemente High", 
#>         "Fairview Middle", "Summerville High", "King Elementary", 
#>         "Palm Middle", "San Ramon Valley High", "Wilcox Elementary", 
#>         "Cantua Elementary", "Shandin Hills Middle", "McFarland Middle", 
#>         "Ridgeview Elementary", "Lone Pine High", "Meadow Lane Elementary", 
#>         "Norman (Alyce) Elementary", "Evergreen Middle", "Elkhorn Elementary", 
#>         "Lynhaven Elementary", "Haynes Elementary", "Sun Empire Elementary", 
#>         "Santiago High", "Goleta Valley Junior High", "Willowbrook Middle", 
#>         "Foothill High", "Bryant Elementary", "Olive Drive Elementary", 
#>         "Sierra Middle", "El Sereno Elementary", "Delta High", 
#>         "Myra Linn Elementary", "Bryant Middle", "Twain Elementary", 
#>         "Wiltsey (Ray) Middle", "Miller Elementary", "Mira Loma High", 
#>         "Willow Glen High", "College View Elementary", "La Canada High", 
#>         "Rancho Buena Vista High", "Cali Calmecac (Charter #162)", 
#>         "Dominguez High", "Douglass Junior High", "Dunsmore Elementary", 
#>         "Joshua Hills Elementary", "Cabrillo Middle", "Broad Avenue Elementary", 
#>         "Sisson Elementary", "Ralston (Dr. Walter C.) Intermediate", 
#>         "Steinbeck Middle", "Beyer (Fred C.) High", "Franklin (Benjamin) Elementary", 
#>         "Silverado Middle", "Bedell (Thelma B.) Elementary", 
#>         "Trabuco Hills High", "O'Connell (John A.) High", "San Joaquin Elementary", 
#>         "Oak Ridge High", "South San Francisco High", "Hamilton (Alexander) Senior Hi", 
#>         "Antelope Valley High", "Rancho Milpitas Junior High", 
#>         "Pinole Junior High", "Big Pine Elementary", "Washington Middle", 
#>         "Sacramento High", "El Sereno Middle", "Burton (Phillip & Sala) Academic High", 
#>         "Mariposa County High", "Compton High", "Anderson Valley Elementary", 
#>         "Ukiah High", "Workman (James) Middle", "Garfield (James A.) Senior High", 
#>         "Del Lago Elementary", "Meadowbrook Middle", "Laurel Elementary", 
#>         "El Cerrito Elementary", "Santa Susana Elementary", "Fairwood Elementary", 
#>         "Pacific (K-8)", "Santa Susana High", "Machado Elementary", 
#>         "Delano High", "Pittsburg Senior High", "Emperor Elementary", 
#>         "Alvarado Elementary", "One Hundred Twelfth Street Elementary", 
#>         "Corona Senior High", "Sycamore Middle", "Larsen (Ansgar) Elementary", 
#>         "Lincoln High (Char)"), snum = c(2077, 1622, 2236, 1921, 
#>         6140, 6077, 6071, 904, 4637, 4311, 4105, 3607, 627, 215, 
#>         3599, 1678, 3015, 3491, 3237, 725, 861, 5410, 5319, 5947, 
#>         3999, 169, 1247, 5706, 1777, 4398, 5481, 2435, 1502, 
#>         636, 2231, 598, 573, 375, 1043, 5612, 5002, 1149, 4446, 
#>         5237, 3292, 2387, 4785, 4768, 4787, 3225, 354, 5874, 
#>         5511, 1632, 4100, 6055, 4759, 4565, 2995, 4043, 5417, 
#>         2457, 2428, 3001, 2233, 1037, 3839, 411, 402, 2061, 2417, 
#>         5245, 3154, 716, 2755, 2712, 114, 3122, 5903, 980, 783, 
#>         1055, 917, 4830, 5658, 4464, 5482, 2601, 3179, 700, 1606, 
#>         3720, 3525, 418, 2378, 280, 3975, 1555, 1027, 4844, 532, 
#>         2180, 3968, 4074, 4026, 5967, 2617, 208, 3786, 5641, 
#>         2878, 2807, 5976, 688, 4406, 508, 2129, 759, 4172, 1042, 
#>         3283, 864, 5505, 6155, 5843, 2799, 5196, 1760, 753, 3364, 
#>         5162, 2445, 3678, 1475, 999, 4796, 1702, 3718, 3351, 
#>         2711, 1520, 4067, 4352, 3807, 5356, 3074, 1414, 4639, 
#>         5719, 2427, 6173, 1358, 2192, 6098, 1631, 5550, 2999, 
#>         5391, 5762, 1360, 2831, 6052, 3181, 4694, 760, 551, 5076, 
#>         1565, 1132, 5446, 498, 859, 4649, 3732, 2072, 4686, 2625, 
#>         2426, 2631, 2641, 3497, 1563, 3203, 4426, 189, 3030, 
#>         6068, 5421, 4801, 6054, 3563, 938, 448, 2338, 146, 1858, 
#>         3365, 336, 5986, 3324), dname = c("Los Angeles Unified", 
#>         "Los Angeles Unified", "Pasadena Unified", "Los Angeles Unified", 
#>         "Moorpark Unified", "Simi Valley Unified", "Simi Valley Unified", 
#>         "Bakersfield City Elem", "South Bay Union Elem", "Chula Vista Elementary", 
#>         "Rialto Unified", "Val Verde Unified", "Fresno Unified", 
#>         "Oakland Unified", "Val Verde Unified", "Los Angeles Unified", 
#>         "Garden Grove Unified", "Palm Springs Unified", "Irvine Unified", 
#>         "Orange Center Elementary", "Bishop Union Elementary", 
#>         "Santa Clara Unified", "Oak Grove Elementary", "Farmersville Unified", 
#>         "Fontana Unified", "Oakland Unified", "Covina-Valley Unified", 
#>         "Cotati-Rohnert Park Unif", "Los Angeles Unified", "La Mesa-Spring Valley", 
#>         "San Lorenzo Valley Unif", "Compton Unified", "Long Beach Unified", 
#>         "Fresno Unified", "Pasadena Unified", "Clovis Unified", 
#>         "Pollock Pines Elementary", "John Swett Unified", "El Tejon Unified", 
#>         "Vacaville Unified", "Menlo Park City Elem", "Azusa Unified", 
#>         "Poway Unified", "East Side Union High", "Ophir Elementary", 
#>         "Westside Union Elem", "Escalon Unified", "San Francisco Unified", 
#>         "Escalon Unified", "Tustin Unified", "Pierce Joint Unified", 
#>         "Exeter Union Elementary", "Enterprise Elementary", "Los Angeles Unified", 
#>         "Rialto Unified", "Simi Valley Unified", "San Francisco Unified", 
#>         "San Diego City Unified", "Garden Grove Unified", "Morongo Unified", 
#>         "Sunnyvale Elementary", "Hacienda la Puente Unif", "Compton Unified", 
#>         "Garden Grove Unified", "Pasadena Unified", "Sierra Sands Unified", 
#>         "San Juan Unified", "Mt. Diablo Unified", "Mt. Diablo Unified", 
#>         "Los Angeles Unified", "William S. Hart High", "Franklin-McKinley Elem", 
#>         "Santa Ana Unified", "Kings Canyon Unified", "Monterey Peninsula Unif.", 
#>         "Dos Palos Oro Loma Unif", "Hayward Unified", "Santa Ana Unified", 
#>         "Tulare City Elementary", "Lamont Elementary", "Northern Humboldt High", 
#>         "Corcoran Joint Unified", "Panama Buena Vista Elem", 
#>         "Lodi Unified", "Rincon Valley Union Elem", "San Diego City Unified", 
#>         "San Lorenzo Valley Unif", "Novato Unified", "Saddleback Valley Unif", 
#>         "Fresno Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>         "Riverside Unified", "Mt. Diablo Unified", "West Covina Unified", 
#>         "Amador County Unified", "Colton Joint Unified", "Los Angeles Unified", 
#>         "Wasco Union Elementary", "Manteca Unified", "Walnut Creek Elementary", 
#>         "Norwalk-La Mirada Unif", "Colton Joint Unified", "Ontario-Montclair Elem", 
#>         "Fontana Unified", "Dinuba Unified", "Tamalpais Union High", 
#>         "Oakland Unified", "Sacramento City Unified", "Old Adobe Union Elem", 
#>         "Capistrano Unified", "Gonzales Unified", "Summerville Union High", 
#>         "Fresno Unified", "Lemon Grove Elementary", "San Ramon Valley Unified", 
#>         "Montebello Unified", "Golden Plains Unified", "San Bernardino City Unif", 
#>         "McFarland Unified", "Eureka Union Elementary", "Lone Pine Unified", 
#>         "Cascade Union Elementary", "Washington Unified", "Evergreen Union Elem", 
#>         "North Monterey Co Unif", "Campbell Union Elem", "Los Angeles Unified", 
#>         "Kerman Unified", "Corona-Norco Unified", "Santa Barbara High", 
#>         "Compton Unified", "Grant Joint Union High", "Long Beach Unified", 
#>         "Norris Elementary", "Lincoln Unified", "Los Angeles Unified", 
#>         "River Delta Joint Unif", "Alvord Unified", "Dos Palos Oro Loma Unif", 
#>         "Long Beach Unified", "Ontario-Montclair Elem", "Escondido Union Elem", 
#>         "San Juan Unified", "San Jose Unified", "Ocean View Elementary", 
#>         "La Canada Unified", "Vista Unified", "Windsor Unified", 
#>         "Compton Unified", "Woodland Joint Unified", "Glendale Unified", 
#>         "Palmdale Elementary", "Ventura Unified", "Los Angeles Unified", 
#>         "Mt. Shasta Union Elem", "Garden Grove Unified", "San Jose Unified", 
#>         "Modesto City High", "Glendale Unified", "Napa Valley Unified", 
#>         "Santa Paula Elementary", "Saddleback Valley Unif", "San Francisco Unified", 
#>         "Golden Plains Unified", "El Dorado Union High", "South San Francisco Unif", 
#>         "Los Angeles Unified", "Antelope Valley High", "Milpitas Unified", 
#>         "West Contra Costa Unified", "Big Pine Unified", "Vista Unified", 
#>         "Sacramento City Unified", "Los Angeles Unified", "San Francisco Unified", 
#>         "Mariposa County Unified", "Compton Unified", "Anderson Valley Unified", 
#>         "Ukiah Unified", "Palm Springs Unified", "Los Angeles Unified", 
#>         "Saddleback Valley Unif", "Poway Unified", "Oakland Unified", 
#>         "La Habra City Elementary", "Simi Valley Unified", "Sunnyvale Elementary", 
#>         "Lincoln Unified", "Simi Valley Unified", "Lake Elsinore Unified", 
#>         "Delano Joint Union High", "Pittsburg Unified", "Temple City Unified", 
#>         "New Haven Unified", "Los Angeles Unified", "Corona-Norco Unified", 
#>         "Gridley Unified", "Hueneme Elementary", "Western Placer Unified"
#>         ), dnum = c(401L, 401L, 541L, 401L, 460L, 689L, 689L, 
#>         41L, 702L, 135L, 590L, 767L, 253L, 507L, 767L, 401L, 
#>         259L, 531L, 316L, 515L, 69L, 656L, 501L, 233L, 238L, 
#>         507L, 162L, 160L, 401L, 351L, 639L, 153L, 395L, 253L, 
#>         541L, 140L, 569L, 324L, 208L, 766L, 439L, 40L, 575L, 
#>         196L, 514L, 806L, 215L, 632L, 215L, 756L, 550L, 226L, 
#>         214L, 401L, 590L, 689L, 632L, 630L, 259L, 465L, 725L, 
#>         284L, 153L, 259L, 541L, 685L, 636L, 473L, 473L, 401L, 
#>         813L, 247L, 653L, 339L, 459L, 185L, 294L, 653L, 751L, 
#>         364L, 497L, 155L, 537L, 390L, 596L, 630L, 639L, 499L, 
#>         621L, 253L, 401L, 602L, 605L, 473L, 797L, 20L, 148L, 
#>         401L, 784L, 419L, 781L, 498L, 148L, 513L, 238L, 182L, 
#>         735L, 507L, 620L, 512L, 108L, 273L, 722L, 253L, 376L, 
#>         650L, 457L, 270L, 627L, 432L, 223L, 394L, 114L, 787L, 
#>         225L, 495L, 105L, 401L, 333L, 158L, 655L, 153L, 275L, 
#>         395L, 492L, 382L, 401L, 602L, 19L, 185L, 395L, 513L, 
#>         216L, 636L, 635L, 509L, 348L, 780L, 819L, 153L, 825L, 
#>         266L, 532L, 774L, 401L, 475L, 259L, 635L, 450L, 266L, 
#>         478L, 662L, 621L, 632L, 270L, 202L, 706L, 401L, 27L, 
#>         448L, 796L, 64L, 780L, 620L, 401L, 632L, 423L, 153L, 
#>         25L, 760L, 531L, 401L, 621L, 575L, 507L, 349L, 689L, 
#>         725L, 382L, 689L, 358L, 176L, 554L, 738L, 484L, 401L, 
#>         158L, 279L, 308L, 802L), cname = c("Los Angeles", "Los Angeles", 
#>         "Los Angeles", "Los Angeles", "Ventura", "Ventura", "Ventura", 
#>         "Kern", "San Diego", "San Diego", "San Bernardino", "Riverside", 
#>         "Fresno", "Alameda", "Riverside", "Los Angeles", "Orange", 
#>         "Riverside", "Orange", "Fresno", "Inyo", "Santa Clara", 
#>         "Santa Clara", "Tulare", "San Bernardino", "Alameda", 
#>         "Los Angeles", "Sonoma", "Los Angeles", "San Diego", 
#>         "Santa Cruz", "Los Angeles", "Los Angeles", "Fresno", 
#>         "Los Angeles", "Fresno", "El Dorado", "Contra Costa", 
#>         "Kern", "Solano", "San Mateo", "Los Angeles", "San Diego", 
#>         "Santa Clara", "Placer", "Los Angeles", "San Joaquin", 
#>         "San Francisco", "San Joaquin", "Orange", "Colusa", "Tulare", 
#>         "Shasta", "Los Angeles", "San Bernardino", "Ventura", 
#>         "San Francisco", "San Diego", "Orange", "San Bernardino", 
#>         "Santa Clara", "Los Angeles", "Los Angeles", "Orange", 
#>         "Los Angeles", "Kern", "Sacramento", "Contra Costa", 
#>         "Contra Costa", "Los Angeles", "Los Angeles", "Santa Clara", 
#>         "Orange", "Fresno", "Monterey", "Merced", "Alameda", 
#>         "Orange", "Tulare", "Kern", "Humboldt", "Kings", "Kern", 
#>         "San Joaquin", "Sonoma", "San Diego", "Santa Cruz", "Marin", 
#>         "Orange", "Fresno", "Los Angeles", "Sacramento", "Riverside", 
#>         "Contra Costa", "Los Angeles", "Amador", "San Bernardino", 
#>         "Los Angeles", "Kern", "San Joaquin", "Contra Costa", 
#>         "Los Angeles", "San Bernardino", "San Bernardino", "San Bernardino", 
#>         "Tulare", "Marin", "Alameda", "Sacramento", "Sonoma", 
#>         "Orange", "Monterey", "Tuolumne", "Fresno", "San Diego", 
#>         "Contra Costa", "Los Angeles", "Fresno", "San Bernardino", 
#>         "Kern", "Placer", "Inyo", "Shasta", "Yolo", "Tehama", 
#>         "Monterey", "Santa Clara", "Los Angeles", "Fresno", "Riverside", 
#>         "Santa Barbara", "Los Angeles", "Sacramento", "Los Angeles", 
#>         "Kern", "San Joaquin", "Los Angeles", "Sacramento", "Riverside", 
#>         "Merced", "Los Angeles", "San Bernardino", "San Diego", 
#>         "Sacramento", "Santa Clara", "Orange", "Los Angeles", 
#>         "San Diego", "Sonoma", "Los Angeles", "Yolo", "Los Angeles", 
#>         "Los Angeles", "Ventura", "Los Angeles", "Siskiyou", 
#>         "Orange", "Santa Clara", "Stanislaus", "Los Angeles", 
#>         "Napa", "Ventura", "Orange", "San Francisco", "Fresno", 
#>         "El Dorado", "San Mateo", "Los Angeles", "Los Angeles", 
#>         "Santa Clara", "Contra Costa", "Inyo", "San Diego", "Sacramento", 
#>         "Los Angeles", "San Francisco", "Mariposa", "Los Angeles", 
#>         "Mendocino", "Mendocino", "Riverside", "Los Angeles", 
#>         "Orange", "San Diego", "Alameda", "Orange", "Ventura", 
#>         "Santa Clara", "San Joaquin", "Ventura", "Riverside", 
#>         "Kern", "Contra Costa", "Los Angeles", "Alameda", "Los Angeles", 
#>         "Riverside", "Butte", "Ventura", "Placer"), cnum = c(18L, 
#>         18L, 18L, 18L, 55L, 55L, 55L, 14L, 36L, 36L, 35L, 32L, 
#>         9L, 1L, 32L, 18L, 29L, 32L, 29L, 9L, 13L, 42L, 42L, 53L, 
#>         35L, 1L, 18L, 48L, 18L, 36L, 43L, 18L, 18L, 9L, 18L, 
#>         9L, 8L, 6L, 14L, 47L, 40L, 18L, 36L, 42L, 30L, 18L, 38L, 
#>         37L, 38L, 29L, 5L, 53L, 44L, 18L, 35L, 55L, 37L, 36L, 
#>         29L, 35L, 42L, 18L, 18L, 29L, 18L, 14L, 33L, 6L, 6L, 
#>         18L, 18L, 42L, 29L, 9L, 26L, 23L, 1L, 29L, 53L, 14L, 
#>         11L, 15L, 14L, 38L, 48L, 36L, 43L, 20L, 29L, 9L, 18L, 
#>         33L, 32L, 6L, 18L, 2L, 35L, 18L, 14L, 38L, 6L, 18L, 35L, 
#>         35L, 35L, 53L, 20L, 1L, 33L, 48L, 29L, 26L, 54L, 9L, 
#>         36L, 6L, 18L, 9L, 35L, 14L, 30L, 13L, 44L, 56L, 51L, 
#>         26L, 42L, 18L, 9L, 32L, 41L, 18L, 33L, 18L, 14L, 38L, 
#>         18L, 33L, 32L, 23L, 18L, 35L, 36L, 33L, 42L, 29L, 18L, 
#>         36L, 48L, 18L, 56L, 18L, 18L, 55L, 18L, 46L, 29L, 42L, 
#>         49L, 18L, 27L, 55L, 29L, 37L, 9L, 8L, 40L, 18L, 18L, 
#>         42L, 6L, 13L, 36L, 33L, 18L, 37L, 21L, 18L, 22L, 22L, 
#>         32L, 18L, 29L, 36L, 1L, 29L, 55L, 42L, 38L, 55L, 32L, 
#>         14L, 6L, 18L, 1L, 18L, 32L, 3L, 55L, 30L), flag = c(NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_), 
#>         pcttest = c(99L, 100L, 99L, 100L, 100L, 100L, 99L, 98L, 
#>         100L, 100L, 99L, 99L, 93L, 95L, 95L, 100L, 98L, 100L, 
#>         95L, 100L, 100L, 98L, 100L, 99L, 99L, 100L, 98L, 98L, 
#>         100L, 99L, 99L, 100L, 100L, 100L, 97L, 100L, 100L, 99L, 
#>         100L, 100L, 100L, 99L, 99L, 100L, 100L, 99L, 99L, 90L, 
#>         100L, 99L, 96L, 98L, 100L, 99L, 100L, 98L, 66L, 99L, 
#>         83L, 98L, 100L, 100L, 88L, 99L, 92L, 100L, 99L, 98L, 
#>         100L, 98L, 99L, 99L, 100L, 100L, 100L, 89L, 100L, 100L, 
#>         100L, 97L, 97L, 98L, 99L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 99L, 100L, 100L, 99L, 99L, 99L, 97L, 99L, 98L, 97L, 
#>         100L, 99L, 100L, 100L, 96L, 99L, 99L, 97L, 96L, 100L, 
#>         98L, 90L, 100L, 97L, 98L, 100L, 98L, 99L, 100L, 99L, 
#>         99L, 99L, 99L, 100L, 99L, 97L, 100L, 98L, 98L, 100L, 
#>         99L, 100L, 100L, 97L, 99L, 99L, 100L, 95L, 100L, 97L, 
#>         100L, 99L, 98L, 100L, 96L, 98L, 100L, 97L, 100L, 100L, 
#>         100L, 99L, 100L, 99L, 99L, 98L, 100L, 99L, 98L, 97L, 
#>         100L, 98L, 99L, 99L, 86L, 100L, 96L, 90L, 96L, 93L, 99L, 
#>         100L, 98L, 98L, 90L, 100L, 89L, 99L, 79L, 97L, 99L, 100L, 
#>         100L, 100L, 99L, 100L, 100L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 98L, 100L, 99L, 95L, 100L, 99L, 99L, 100L), api00 = c(840L, 
#>         516L, 531L, 501L, 720L, 805L, 778L, 731L, 592L, 669L, 
#>         496L, 505L, 467L, 409L, 522L, 497L, 638L, 609L, 867L, 
#>         534L, 705L, 685L, 761L, 455L, 509L, 771L, 681L, 666L, 
#>         751L, 647L, 745L, 474L, 832L, 559L, 582L, 765L, 694L, 
#>         676L, 641L, 744L, 870L, 510L, 865L, 527L, 782L, 745L, 
#>         681L, 500L, 679L, 892L, 552L, 619L, 616L, 703L, 509L, 
#>         724L, 559L, 650L, 806L, 759L, 740L, 642L, 565L, 565L, 
#>         525L, 726L, 863L, 765L, 893L, 443L, 774L, 398L, 539L, 
#>         668L, 776L, 580L, 581L, 503L, 724L, 476L, 712L, 529L, 
#>         870L, 746L, 836L, 680L, 756L, 878L, 784L, 423L, 588L, 
#>         606L, 632L, 753L, 651L, 743L, 553L, 593L, 528L, 676L, 
#>         861L, 678L, 518L, 535L, 588L, 597L, 770L, 884L, 667L, 
#>         819L, 721L, 534L, 713L, 542L, 648L, 816L, 509L, 493L, 
#>         551L, 485L, 893L, 641L, 709L, 596L, 765L, 609L, 671L, 
#>         720L, 669L, 667L, 743L, 403L, 610L, 650L, 836L, 695L, 
#>         542L, 618L, 578L, 551L, 814L, 467L, 777L, 717L, 610L, 
#>         719L, 868L, 678L, 617L, 418L, 669L, 856L, 723L, 773L, 
#>         609L, 780L, 693L, 635L, 712L, 676L, 660L, 668L, 784L, 
#>         472L, 421L, 764L, 646L, 585L, 556L, 733L, 657L, 667L, 
#>         606L, 600L, 522L, 599L, 706L, 409L, 631L, 635L, 601L, 
#>         477L, 845L, 819L, 631L, 696L, 714L, 788L, 667L, 710L, 
#>         568L, 453L, 546L, 847L, 679L, 477L, 646L, 627L, 521L, 
#>         624L), api99 = c(816L, 476L, 544L, 457L, 659L, 780L, 
#>         787L, 731L, 508L, 658L, 479L, 499L, 460L, 406L, 532L, 
#>         440L, 572L, 564L, 816L, 478L, 685L, 657L, 739L, 403L, 
#>         504L, 755L, 673L, 690L, 687L, 642L, 707L, 449L, 835L, 
#>         525L, 589L, 740L, 679L, 641L, 620L, 701L, 863L, 485L, 
#>         858L, 523L, 780L, 691L, 665L, 491L, 677L, 854L, 475L, 
#>         559L, 575L, 652L, 470L, 670L, 554L, 621L, 803L, 726L, 
#>         703L, 579L, 526L, 556L, 495L, 689L, 848L, 703L, 845L, 
#>         436L, 787L, 401L, 500L, 603L, 728L, 554L, 563L, 442L, 
#>         673L, 409L, 694L, 478L, 852L, 723L, 798L, 657L, 766L, 
#>         874L, 760L, 403L, 538L, 566L, 568L, 696L, 595L, 750L, 
#>         499L, 595L, 524L, 678L, 856L, 669L, 535L, 495L, 533L, 
#>         527L, 817L, 867L, 633L, 801L, 737L, 529L, 631L, 524L, 
#>         621L, 812L, 495L, 420L, 491L, 430L, 890L, 660L, 584L, 
#>         583L, 713L, 524L, 641L, 637L, 536L, 698L, 739L, 384L, 
#>         634L, 631L, 772L, 651L, 497L, 570L, 535L, 471L, 783L, 
#>         455L, 750L, 694L, 592L, 671L, 858L, 680L, 562L, 383L, 
#>         650L, 854L, 671L, 732L, 541L, 774L, 688L, 578L, 709L, 
#>         616L, 622L, 575L, 744L, 497L, 398L, 760L, 636L, 606L, 
#>         545L, 703L, 627L, 607L, 575L, 580L, 509L, 574L, 726L, 
#>         410L, 639L, 625L, 574L, 484L, 799L, 790L, 646L, 642L, 
#>         672L, 747L, 601L, 706L, 504L, 447L, 524L, 814L, 664L, 
#>         424L, 620L, 597L, 500L, 609L), target = c(NA, 16L, 13L, 
#>         17L, 7L, 1L, 1L, 3L, 15L, 7L, 16L, 15L, 17L, 20L, 13L, 
#>         18L, 11L, 12L, NA, 16L, 6L, 7L, 3L, 20L, 15L, 2L, 6L, 
#>         6L, 6L, 8L, 5L, 18L, NA, 14L, 11L, 3L, 6L, 8L, 9L, 5L, 
#>         NA, 16L, NA, 14L, 1L, 5L, 7L, 15L, 6L, NA, 16L, 12L, 
#>         11L, 7L, 17L, 7L, 12L, 9L, NA, 4L, 5L, 11L, 14L, 12L, 
#>         15L, 6L, NA, 5L, NA, 18L, 1L, 20L, 15L, 10L, 4L, 12L, 
#>         12L, 18L, 6L, 20L, 5L, 16L, NA, 4L, 1L, 7L, 2L, NA, 2L, 
#>         20L, 13L, 12L, 12L, 5L, 10L, 3L, 15L, 10L, 14L, 6L, NA, 
#>         7L, 13L, 15L, 13L, 14L, NA, NA, 8L, NA, 3L, 14L, 8L, 
#>         14L, 9L, NA, 15L, 19L, 15L, 19L, NA, 7L, 11L, 11L, 4L, 
#>         14L, 8L, 8L, 13L, 5L, 3L, 21L, 8L, 8L, 1L, 7L, 15L, 12L, 
#>         13L, 16L, 1L, 17L, 3L, 5L, 10L, 6L, NA, 6L, 12L, 21L, 
#>         8L, NA, 6L, 3L, 13L, 1L, 6L, 11L, 5L, 9L, 9L, 11L, 3L, 
#>         15L, 20L, 2L, 8L, 10L, 13L, 5L, 9L, 10L, 11L, 11L, 15L, 
#>         11L, 4L, 20L, 8L, 9L, 11L, 16L, 1L, 1L, 8L, 8L, 6L, 3L, 
#>         10L, 5L, 15L, 18L, 14L, NA, 7L, 19L, 9L, 10L, 15L, 10L
#>         ), growth = c(24L, 40L, -13L, 44L, 61L, 25L, -9L, 0L, 
#>         84L, 11L, 17L, 6L, 7L, 3L, -10L, 57L, 66L, 45L, 51L, 
#>         56L, 20L, 28L, 22L, 52L, 5L, 16L, 8L, -24L, 64L, 5L, 
#>         38L, 25L, -3L, 34L, -7L, 25L, 15L, 35L, 21L, 43L, 7L, 
#>         25L, 7L, 4L, 2L, 54L, 16L, 9L, 2L, 38L, 77L, 60L, 41L, 
#>         51L, 39L, 54L, 5L, 29L, 3L, 33L, 37L, 63L, 39L, 9L, 30L, 
#>         37L, 15L, 62L, 48L, 7L, -13L, -3L, 39L, 65L, 48L, 26L, 
#>         18L, 61L, 51L, 67L, 18L, 51L, 18L, 23L, 38L, 23L, -10L, 
#>         4L, 24L, 20L, 50L, 40L, 64L, 57L, 56L, -7L, 54L, -2L, 
#>         4L, -2L, 5L, 9L, -17L, 40L, 55L, 70L, -47L, 17L, 34L, 
#>         18L, -16L, 5L, 82L, 18L, 27L, 4L, 14L, 73L, 60L, 55L, 
#>         3L, -19L, 125L, 13L, 52L, 85L, 30L, 83L, 133L, -31L, 
#>         4L, 19L, -24L, 19L, 64L, 44L, 45L, 48L, 43L, 80L, 31L, 
#>         12L, 27L, 23L, 18L, 48L, 10L, -2L, 55L, 35L, 19L, 2L, 
#>         52L, 41L, 68L, 6L, 5L, 57L, 3L, 60L, 38L, 93L, 40L, -25L, 
#>         23L, 4L, 10L, -21L, 11L, 30L, 30L, 60L, 31L, 20L, 13L, 
#>         25L, -20L, -1L, -8L, 10L, 27L, -7L, 46L, 29L, -15L, 54L, 
#>         42L, 41L, 66L, 4L, 64L, 6L, 22L, 33L, 15L, 53L, 26L, 
#>         30L, 21L, 15L), sch.wide = c(2L, 2L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), comp.imp = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), both = c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), awards = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), meals = c(33L, 98L, 64L, 83L, 26L, 7L, 9L, 
#>         45L, 75L, 47L, 69L, 60L, 66L, 54L, 35L, 95L, 75L, 47L, 
#>         6L, 93L, 38L, 32L, 24L, 89L, 44L, 15L, 18L, 9L, 35L, 
#>         60L, 13L, 98L, 25L, 78L, 63L, 54L, 21L, 24L, 23L, 34L, 
#>         2L, 31L, 4L, 37L, 14L, 31L, 20L, 59L, 31L, 6L, 66L, 58L, 
#>         71L, 67L, 75L, 15L, 78L, 64L, 40L, 36L, 42L, 69L, 99L, 
#>         75L, 51L, 45L, 14L, 13L, 7L, 79L, 4L, 83L, 92L, 51L, 
#>         25L, 74L, 52L, 95L, 51L, 96L, 3L, 74L, 7L, 20L, 24L, 
#>         50L, 20L, 4L, 8L, 100L, 61L, 48L, 51L, 17L, 56L, 12L, 
#>         80L, 72L, 77L, 18L, 10L, 18L, 39L, 64L, 54L, 76L, 1L, 
#>         6L, 45L, 11L, 9L, 72L, 19L, 100L, 47L, 1L, 72L, 97L, 
#>         67L, 85L, 1L, 6L, 77L, 83L, 52L, 42L, 38L, 39L, 100L, 
#>         19L, 19L, 99L, 34L, 78L, 10L, 36L, 98L, 23L, 69L, 66L, 
#>         28L, 73L, 25L, 29L, 31L, 33L, 0L, 21L, 49L, 100L, 24L, 
#>         4L, 46L, 24L, 82L, 29L, 46L, 44L, 5L, 76L, 36L, 43L, 
#>         5L, 20L, 98L, 1L, 20L, 23L, 33L, 33L, 24L, 41L, 57L, 
#>         36L, 91L, 21L, 13L, 98L, 67L, 23L, 38L, 86L, 14L, 13L, 
#>         74L, 72L, 45L, 39L, 38L, 8L, 69L, 47L, 38L, 34L, 36L, 
#>         98L, 36L, 56L, 88L, 28L), ell = c(25L, 77L, 23L, 63L, 
#>         17L, 0L, 2L, 2L, 58L, 23L, 25L, 10L, 43L, 26L, 7L, 66L, 
#>         73L, 20L, 16L, 39L, 6L, 18L, 6L, 59L, 18L, 3L, 3L, 5L, 
#>         7L, 23L, 1L, 17L, 10L, 27L, 22L, 18L, 0L, 14L, 0L, 2L, 
#>         2L, 30L, 7L, 37L, 0L, 3L, 4L, 46L, 13L, 3L, 42L, 20L, 
#>         11L, 0L, 32L, 8L, 27L, 27L, 43L, 3L, 37L, 22L, 35L, 62L, 
#>         17L, 8L, 1L, 3L, 4L, 37L, 4L, 70L, 80L, 15L, 10L, 22L, 
#>         33L, 73L, 3L, 38L, 0L, 9L, 2L, 11L, 3L, 5L, 0L, 2L, 7L, 
#>         62L, 1L, 28L, 18L, 5L, 25L, 0L, 33L, 21L, 32L, 1L, 7L, 
#>         13L, 22L, 46L, 24L, 18L, 1L, 8L, 16L, 10L, 7L, 50L, 0L, 
#>         40L, 14L, 1L, 37L, 84L, 17L, 33L, 1L, 6L, 2L, 32L, 1L, 
#>         28L, 22L, 20L, 50L, 6L, 17L, 5L, 11L, 33L, 1L, 14L, 66L, 
#>         17L, 41L, 12L, 9L, 54L, 8L, 16L, 24L, 17L, 2L, 5L, 50L, 
#>         24L, 18L, 19L, 12L, 6L, 33L, 0L, 33L, 28L, 4L, 51L, 8L, 
#>         5L, 3L, 25L, 69L, 0L, 10L, 16L, 6L, 29L, 10L, 7L, 15L, 
#>         21L, 34L, 18L, 0L, 49L, 59L, 10L, 0L, 34L, 4L, 6L, 45L, 
#>         50L, 21L, 22L, 14L, 3L, 34L, 37L, 8L, 12L, 39L, 56L, 
#>         14L, 6L, 69L, 4L), yr.rnd = c(1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), mobility = c(11L, 
#>         26L, 17L, 13L, 31L, 12L, 10L, 15L, 23L, 19L, 26L, 22L, 
#>         16L, 44L, 18L, 18L, 12L, 8L, 17L, 20L, 8L, 6L, 15L, 10L, 
#>         13L, 11L, 12L, 9L, 9L, 18L, 6L, 31L, 16L, 20L, 13L, 23L, 
#>         17L, 17L, 9L, 18L, 8L, 12L, 17L, 17L, 15L, 22L, 4L, 13L, 
#>         9L, 13L, 15L, 9L, 24L, 15L, 32L, 10L, 12L, 22L, 15L, 
#>         38L, 21L, 21L, 18L, 11L, 12L, 38L, 18L, 16L, 16L, 16L, 
#>         9L, 17L, 27L, 9L, 12L, 12L, 8L, 17L, 16L, 8L, 7L, 5L, 
#>         20L, 26L, 16L, 14L, 14L, 3L, 8L, 22L, 20L, 7L, 19L, 8L, 
#>         19L, 8L, 25L, 12L, 4L, 14L, 12L, 20L, 9L, 26L, 17L, 17L, 
#>         6L, 8L, 22L, 12L, 6L, 17L, 6L, 21L, 16L, 6L, 16L, 6L, 
#>         46L, 7L, 8L, 8L, 20L, 23L, 13L, 15L, 18L, 29L, 17L, 55L, 
#>         6L, 19L, 19L, 21L, 17L, 13L, 23L, 7L, 38L, 12L, 14L, 
#>         13L, 13L, 21L, 10L, 16L, 4L, 10L, 9L, 72L, 10L, 17L, 
#>         99L, 12L, 41L, 16L, 12L, 19L, 10L, 9L, 15L, 13L, 12L, 
#>         15L, 23L, 4L, 8L, 12L, 14L, 11L, 22L, 11L, 15L, 15L, 
#>         9L, 1L, 8L, 12L, 12L, 96L, 18L, 6L, 12L, 10L, 11L, 26L, 
#>         13L, 11L, 20L, 11L, 25L, 7L, 22L, 13L, 13L, 22L, 12L, 
#>         10L, 6L, 6L), acs.k3 = c(20L, 19L, 20L, 17L, 20L, 19L, 
#>         19L, 19L, 20L, 18L, NA, NA, NA, NA, NA, 19L, 22L, NA, 
#>         NA, 18L, 20L, NA, 19L, NA, NA, 20L, NA, NA, 16L, NA, 
#>         NA, 20L, 20L, 18L, NA, 21L, NA, NA, NA, 19L, NA, NA, 
#>         19L, NA, 16L, 18L, NA, NA, NA, 20L, NA, 19L, 20L, 18L, 
#>         19L, NA, NA, NA, 20L, 18L, 19L, 21L, 20L, NA, NA, 19L, 
#>         20L, 21L, 20L, NA, NA, 20L, 20L, NA, 19L, 19L, NA, 22L, 
#>         18L, NA, NA, NA, 19L, 20L, 18L, NA, 19L, NA, NA, 19L, 
#>         16L, 18L, 19L, NA, 20L, NA, 20L, NA, NA, 18L, 19L, NA, 
#>         NA, NA, 19L, 20L, NA, 19L, NA, 19L, NA, NA, NA, 19L, 
#>         NA, NA, 20L, 17L, NA, NA, NA, NA, 18L, 20L, NA, 20L, 
#>         20L, 18L, 18L, NA, NA, NA, NA, 19L, 18L, NA, 19L, NA, 
#>         20L, NA, 20L, NA, 20L, NA, NA, 19L, NA, NA, 20L, NA, 
#>         NA, 18L, 18L, NA, 19L, NA, NA, NA, NA, 18L, NA, 19L, 
#>         NA, NA, 20L, NA, NA, NA, NA, NA, NA, 17L, NA, NA, NA, 
#>         NA, NA, NA, 19L, NA, NA, NA, 19L, NA, 19L, 18L, 18L, 
#>         19L, 24L, NA, 20L, NA, NA, 20L, 20L, 19L, NA, NA, 20L, 
#>         NA), acs.46 = c(29L, 28L, 30L, 30L, 30L, 29L, 31L, 31L, 
#>         32L, 29L, 32L, 32L, NA, 32L, NA, 30L, 30L, 32L, NA, 23L, 
#>         31L, 33L, 32L, NA, NA, 28L, NA, NA, 24L, 31L, NA, 31L, 
#>         34L, 27L, 34L, 33L, 24L, 25L, NA, 28L, 26L, NA, 27L, 
#>         NA, 22L, 30L, NA, 26L, 30L, 26L, NA, 28L, 29L, 29L, 34L, 
#>         NA, 23L, 26L, 30L, 22L, 29L, 32L, 29L, NA, NA, 30L, 46L, 
#>         30L, 30L, 28L, NA, 29L, 30L, 28L, 22L, NA, NA, 31L, 29L, 
#>         27L, NA, 28L, 29L, 30L, 28L, 25L, 29L, 28L, NA, 28L, 
#>         26L, 26L, 31L, 30L, 31L, NA, 30L, NA, NA, 30L, 26L, 38L, 
#>         NA, 30L, 30L, 27L, NA, 29L, NA, 28L, NA, 28L, NA, 33L, 
#>         28L, NA, 30L, 25L, 30L, 21L, 25L, NA, 24L, 31L, 25L, 
#>         28L, 28L, 28L, 27L, NA, NA, 34L, NA, 32L, 27L, NA, 28L, 
#>         NA, 31L, 27L, 33L, NA, 31L, NA, NA, 30L, NA, NA, 23L, 
#>         NA, NA, 30L, 30L, 32L, 27L, 28L, NA, 28L, NA, 29L, NA, 
#>         26L, NA, NA, 23L, NA, NA, NA, NA, NA, NA, 20L, 30L, NA, 
#>         28L, NA, NA, NA, 23L, NA, 33L, NA, 30L, 29L, 30L, NA, 
#>         28L, 26L, 24L, NA, 28L, NA, NA, 31L, 31L, 28L, NA, 36L, 
#>         32L, NA), acs.core = c(NA, NA, NA, NA, NA, NA, NA, NA, 
#>         NA, NA, 30L, 32L, 27L, 29L, 28L, NA, NA, 34L, 30L, 21L, 
#>         NA, 28L, NA, 26L, 32L, NA, 28L, 27L, NA, 30L, 28L, NA, 
#>         NA, NA, 29L, NA, 29L, 24L, 25L, NA, 27L, 27L, NA, 27L, 
#>         NA, NA, 28L, 23L, 28L, NA, 27L, NA, NA, NA, NA, 31L, 
#>         23L, 29L, NA, NA, NA, 30L, NA, 27L, 26L, NA, NA, NA, 
#>         NA, 24L, 27L, NA, NA, 26L, NA, NA, 28L, NA, NA, NA, 22L, 
#>         NA, NA, NA, NA, 25L, NA, 28L, 28L, NA, NA, NA, NA, 29L, 
#>         NA, 25L, NA, 25L, 27L, 29L, NA, NA, 30L, 27L, NA, NA, 
#>         23L, NA, 27L, NA, 29L, 27L, 24L, NA, 29L, 29L, NA, 25L, 
#>         31L, 25L, NA, 21L, NA, NA, 23L, NA, NA, NA, NA, 29L, 
#>         28L, 35L, 27L, NA, NA, 31L, NA, 20L, NA, 22L, NA, 29L, 
#>         NA, 35L, 26L, NA, 31L, 29L, 25L, 32L, 28L, NA, NA, 30L, 
#>         NA, 28L, 29L, 26L, 33L, NA, 27L, NA, 28L, 15L, 28L, 27L, 
#>         27L, 26L, 28L, 30L, 30L, 19L, 31L, 27L, 24L, 26L, 29L, 
#>         29L, NA, 25L, 32L, 27L, NA, 29L, NA, NA, NA, NA, NA, 
#>         28L, NA, 28L, 26L, NA, NA, NA, 29L, 26L, NA, 24L), pct.resp = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 87L, 67L, 50L, 
#>         70L, 71L, 2L, 91L, 0L, 100L, 90L, 83L, 86L, 98L, 5L, 
#>         72L, 100L, 84L, 80L, 100L, 96L, 77L, 90L, 57L, 0L, 94L, 
#>         91L, 89L, 98L, 100L, 94L, 92L, 100L, 74L, 72L, 84L, 94L, 
#>         66L, 97L, 82L, 100L, 87L, 77L, 71L, 5L, 3L, 70L, 86L, 
#>         50L, 96L, 99L, 90L, 42L, 93L, 1L, 97L, 90L, 47L, 84L, 
#>         55L, 85L, 51L, 62L, 0L, 62L, 96L, 54L, 62L, 95L, 99L, 
#>         95L, 93L, 100L, 91L, 96L, 73L, 84L, 98L, 91L, 64L, 24L, 
#>         38L, 85L, 94L, 99L, 96L, 89L, 72L, 77L, 100L, 96L, 89L, 
#>         77L, 97L, 6L, 85L, 56L, 94L, 79L, 100L, 88L, 76L, 94L, 
#>         88L, 99L, 69L, 77L, 86L, 73L, 55L, 100L, 97L, 91L, 98L, 
#>         87L, 61L, 95L, 85L, 95L, 92L, 1L, 49L, 82L, 80L, 95L, 
#>         99L, 12L, 58L, 96L, 82L, 78L, 95L, 2L, 76L, 91L, 97L, 
#>         93L, 96L, 61L, 67L, 82L, 88L, 73L, 92L, 88L, 95L, 74L, 
#>         87L, 96L, 88L, 96L, 93L, 89L, 28L, 91L, 96L, 91L, 63L, 
#>         85L, 98L, 91L, 66L, 89L, 77L, 43L, 86L, 82L, 68L, 87L, 
#>         86L, 87L, 84L, 82L, 99L, 59L, 98L, 1L, 88L, 97L, 0L, 
#>         99L, 74L, 8L, 100L, 88L, 5L, 96L, 93L, 97L, 93L), not.hsg = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 31L, 49L, 12L, 
#>         20L, 45L, 9L, 22L, 0L, 60L, 5L, 10L, 2L, 58L, 28L, 1L, 
#>         6L, 5L, 2L, 20L, 1L, 21L, 5L, 20L, 0L, 17L, 4L, 9L, 8L, 
#>         11L, 2L, 36L, 1L, 42L, 3L, 5L, 15L, 26L, 17L, 0L, 53L, 
#>         31L, 11L, 1L, 28L, 11L, 30L, 21L, 6L, 2L, 11L, 13L, 31L, 
#>         55L, 17L, 9L, 0L, 2L, 0L, 32L, 2L, 56L, 56L, 0L, 34L, 
#>         30L, 15L, 51L, 18L, 64L, 6L, 26L, 6L, 6L, 3L, 3L, 1L, 
#>         2L, 4L, 49L, 0L, 14L, 21L, 3L, 17L, 2L, 35L, 36L, 40L, 
#>         4L, 5L, 10L, 27L, 37L, 28L, 18L, 2L, 2L, 11L, 10L, 6L, 
#>         37L, 2L, 43L, 12L, 1L, 22L, 75L, 22L, 48L, 0L, 13L, 18L, 
#>         26L, 7L, 29L, 6L, 12L, 47L, 8L, 20L, 25L, 8L, 19L, 1L, 
#>         13L, 21L, 19L, 34L, 36L, 3L, 51L, 0L, 5L, 27L, 13L, 0L, 
#>         12L, 25L, 47L, 10L, 0L, 10L, 7L, 15L, 4L, 16L, 33L, 6L, 
#>         24L, 22L, 10L, 3L, 19L, 73L, 1L, 14L, 20L, 16L, 12L, 
#>         6L, 2L, 27L, 19L, 36L, 21L, 3L, 49L, 49L, 15L, 20L, 61L, 
#>         6L, 3L, 22L, 37L, 50L, 10L, 10L, 0L, 22L, 50L, 20L, 9L, 
#>         7L, 10L, 18L, 25L, 41L, 10L), hsg = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 34L, 20L, 33L, 20L, 36L, 
#>         64L, 20L, 0L, 24L, 29L, 21L, 21L, 23L, 40L, 8L, 19L, 
#>         21L, 19L, 33L, 11L, 53L, 8L, 30L, 100L, 40L, 36L, 43L, 
#>         24L, 51L, 3L, 25L, 4L, 24L, 20L, 15L, 22L, 30L, 22L, 
#>         5L, 26L, 21L, 24L, 15L, 55L, 27L, 31L, 19L, 22L, 27L, 
#>         25L, 33L, 40L, 23L, 0L, 32L, 9L, 8L, 3L, 29L, 12L, 26L, 
#>         27L, 100L, 11L, 25L, 25L, 30L, 44L, 19L, 21L, 35L, 26L, 
#>         12L, 35L, 11L, 17L, 4L, 9L, 28L, 10L, 18L, 27L, 20L, 
#>         31L, 16L, 47L, 21L, 34L, 40L, 3L, 19L, 27L, 35L, 36L, 
#>         51L, 4L, 5L, 19L, 12L, 8L, 25L, 20L, 35L, 31L, 3L, 33L, 
#>         15L, 23L, 29L, 2L, 30L, 41L, 27L, 29L, 34L, 25L, 16L, 
#>         25L, 14L, 0L, 27L, 20L, 37L, 15L, 19L, 53L, 16L, 36L, 
#>         30L, 9L, 27L, 20L, 15L, 20L, 30L, 2L, 14L, 13L, 24L, 
#>         38L, 10L, 25L, 9L, 46L, 12L, 23L, 21L, 15L, 28L, 19L, 
#>         27L, 10L, 35L, 17L, 5L, 23L, 15L, 24L, 22L, 24L, 22L, 
#>         22L, 22L, 30L, 26L, 15L, 20L, 18L, 19L, 21L, 24L, 25L, 
#>         7L, 23L, 36L, 50L, 20L, 11L, 0L, 37L, 21L, 28L, 21L, 
#>         17L, 48L, 20L, 34L, 58L, 25L), some.col = c(0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L, 15L, 23L, 31L, 11L, 
#>         18L, 32L, 0L, 13L, 27L, 31L, 46L, 14L, 18L, 22L, 30L, 
#>         31L, 24L, 30L, 30L, 21L, 28L, 27L, 0L, 19L, 37L, 28L, 
#>         35L, 27L, 7L, 26L, 18L, 17L, 24L, 47L, 29L, 20L, 34L, 
#>         26L, 12L, 27L, 39L, 39L, 10L, 22L, 17L, 28L, 29L, 40L, 
#>         26L, 31L, 11L, 14L, 17L, 33L, 24L, 21L, 14L, 15L, 28L, 
#>         8L, 12L, 0L, 45L, 32L, 31L, 16L, 26L, 14L, 29L, 25L, 
#>         23L, 35L, 30L, 28L, 32L, 23L, 22L, 13L, 36L, 38L, 33L, 
#>         34L, 37L, 36L, 13L, 15L, 16L, 32L, 18L, 37L, 25L, 18L, 
#>         20L, 21L, 11L, 13L, 31L, 29L, 23L, 22L, 40L, 18L, 39L, 
#>         12L, 19L, 6L, 31L, 10L, 14L, 25L, 29L, 33L, 40L, 23L, 
#>         35L, 25L, 17L, 30L, 0L, 20L, 33L, 26L, 37L, 34L, 6L, 
#>         30L, 22L, 24L, 29L, 14L, 40L, 23L, 22L, 20L, 6L, 31L, 
#>         28L, 14L, 17L, 25L, 37L, 32L, 22L, 35L, 31L, 19L, 31L, 
#>         29L, 26L, 43L, 24L, 19L, 7L, 23L, 25L, 22L, 34L, 26L, 
#>         28L, 38L, 28L, 26L, 16L, 20L, 40L, 15L, 13L, 34L, 33L, 
#>         8L, 27L, 29L, 32L, 21L, 0L, 28L, 32L, 50L, 25L, 14L, 
#>         20L, 20L, 33L, 10L, 29L, 20L, 0L, 34L), col.grad = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 10L, 12L, 29L, 
#>         23L, 8L, 9L, 16L, 100L, 2L, 28L, 28L, 26L, 3L, 13L, 27L, 
#>         30L, 34L, 44L, 13L, 42L, 5L, 29L, 21L, 0L, 20L, 19L, 
#>         16L, 28L, 10L, 35L, 10L, 42L, 14L, 42L, 20L, 27L, 21L, 
#>         19L, 35L, 8L, 13L, 22L, 33L, 7L, 31L, 19L, 22L, 39L, 
#>         24L, 22L, 17L, 15L, 7L, 67L, 19L, 39L, 39L, 39L, 23L, 
#>         41L, 5L, 4L, 0L, 10L, 10L, 22L, 3L, 9L, 2L, 33L, 11L, 
#>         34L, 28L, 25L, 40L, 41L, 42L, 45L, 8L, 48L, 21L, 12L, 
#>         31L, 12L, 33L, 5L, 22L, 8L, 18L, 35L, 25L, 17L, 9L, 16L, 
#>         6L, 38L, 25L, 30L, 32L, 41L, 13L, 30L, 4L, 15L, 44L, 
#>         24L, 2L, 18L, 12L, 43L, 30L, 11L, 11L, 20L, 10L, 22L, 
#>         35L, 8L, 36L, 40L, 25L, 33L, 11L, 32L, 23L, 19L, 30L, 
#>         6L, 7L, 36L, 8L, 10L, 37L, 24L, 27L, 36L, 31L, 19L, 13L, 
#>         28L, 40L, 18L, 20L, 15L, 36L, 25L, 21L, 32L, 10L, 21L, 
#>         12L, 43L, 19L, 2L, 44L, 31L, 30L, 21L, 28L, 34L, 32L, 
#>         18L, 25L, 16L, 29L, 27L, 14L, 13L, 16L, 21L, 5L, 35L, 
#>         36L, 16L, 3L, 0L, 35L, 23L, 0L, 11L, 14L, 31L, 27L, 33L, 
#>         33L, 25L, 16L, 0L, 25L), grad.sch = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 4L, 3L, 6L, 0L, 0L, 11L, 
#>         0L, 2L, 11L, 10L, 5L, 1L, 1L, 43L, 16L, 8L, 11L, 4L, 
#>         17L, 1L, 30L, 2L, 0L, 3L, 4L, 4L, 4L, 1L, 54L, 3L, 36L, 
#>         2L, 11L, 13L, 8L, 3L, 9L, 33L, 2L, 8L, 5L, 12L, 0L, 9L, 
#>         4L, 11L, 4L, 7L, 16L, 6L, 3L, 1L, 0L, 7L, 28L, 30L, 43L, 
#>         2L, 16L, 4L, 1L, 0L, 0L, 3L, 7L, 0L, 3L, 1L, 11L, 3L, 
#>         11L, 19L, 7L, 17L, 10L, 30L, 20L, 1L, 6L, 9L, 7L, 13L, 
#>         3L, 12L, 1L, 6L, 2L, 6L, 39L, 9L, 3L, 2L, 0L, 3L, 45L, 
#>         55L, 10L, 17L, 22L, 2L, 8L, 0L, 4L, 41L, 3L, 1L, 7L, 
#>         1L, 41L, 2L, 2L, 2L, 5L, 4L, 12L, 12L, 4L, 12L, 40L, 
#>         3L, 5L, 8L, 15L, 11L, 2L, 5L, 2L, 3L, 23L, 1L, 30L, 20L, 
#>         7L, 10L, 55L, 13L, 16L, 2L, 7L, 24L, 10L, 33L, 2L, 14L, 
#>         5L, 5L, 15L, 9L, 11L, 9L, 21L, 8L, 1L, 28L, 7L, 14L, 
#>         5L, 12L, 8L, 5L, 6L, 8L, 2L, 4L, 14L, 1L, 7L, 16L, 6L, 
#>         1L, 9L, 25L, 7L, 2L, 0L, 7L, 24L, 50L, 4L, 1L, 2L, 23L, 
#>         10L, 0L, 9L, 4L, 0L, 5L), avg.ed = c(3.3199999332428, 
#>         1.66999995708466, 2.33999991416931, 1.86000001430511, 
#>         3.17000007629395, 3.64000010490417, 3.54999995231628, 
#>         3.09999990463257, 2.17000007629395, 2.8199999332428, 
#>         2.21000003814697, 2.22000002861023, 2.00999999046326, 
#>         2.78999996185303, 2.73000001907349, 1.82000005245209, 
#>         2.26999998092651, 2.75, 4, 1.61000001430511, 3.10999989509583, 
#>         3.05999994277954, 3.13000011444092, 1.67999994754791, 
#>         2.19000005722046, 4.03000020980835, 3.30999994277954, 
#>         3.20000004768372, 3.41000008583069, 2.48000001907349, 
#>         3.63000011444092, 2.11999988555908, 3.71000003814697, 
#>         2.54999995231628, 2, 2.50999999046326, 2.83999991416931, 
#>         2.60999989509583, 2.97000002861023, 2.39000010490417, 
#>         4.36999988555908, 2.19000005722046, 4.09000015258789, 
#>         2.10999989509583, 3.36999988555908, 3.19000005722046, 
#>         2.90000009536743, 2.45000004768372, 2.8199999332428, 
#>         3.96000003814697, 1.78999996185303, 2.47000002861023, 
#>         2.85999989509583, 3.41000008583069, 1.97000002861023, 
#>         3, 2.34999990463257, 2.82999992370605, 3.14000010490417, 
#>         3.08999991416931, 3.07999992370605, 2.70000004768372, 
#>         2.20000004768372, 1.76999998092651, 3.32999992370605, 
#>         2.82999992370605, 3.84999990463257, 3.88000011444092, 
#>         4.21999979019165, 2.34999990463257, 3.5699999332428, 
#>         1.75999999046326, 1.67999994754791, 2, 2.3199999332428, 
#>         2.29999995231628, 2.8199999332428, 1.73000001907349, 
#>         2.35999989509583, 1.57000005245209, 3.21000003814697, 
#>         2.30999994277954, 3.1800000667572, 3.4300000667572, 2.97000002861023, 
#>         3.55999994277954, 3.4300000667572, 3.95000004768372, 
#>         3.67000007629395, 1.8400000333786, 3.49000000953674, 
#>         2.9300000667572, 2.5699999332428, 3.30999994277954, 2.53999996185303, 
#>         3.38000011444092, 1.88999998569489, 2.41000008583069, 
#>         1.96000003814697, 2.82999992370605, 3.99000000953674, 
#>         3.03999996185303, 2.42000007629395, 2.04999995231628, 
#>         2.24000000953674, 2.24000000953674, 4.19999980926514, 
#>         4.26000022888184, 3.09999990463257, 3.34999990463257, 
#>         3.64000010490417, 2.19000005722046, 3.22000002861023, 
#>         1.83000004291534, 2.67000007629395, 4.21000003814697, 
#>         2.52999997138977, 1.37999999523163, 2.66000008583069, 
#>         1.87000000476837, 4.23000001907349, 2.76999998092651, 
#>         2.36999988555908, 2.35999989509583, 2.86999988555908, 
#>         2.26999998092651, 3.0699999332428, 3.20000004768372, 
#>         1.96000003814697, 3.29999995231628, 3.79999995231628, 
#>         2.51999998092651, 3.07999992370605, 2.51999998092651, 
#>         3.46000003814697, 3, 2.27999997138977, 2.85999989509583, 
#>         2.0699999332428, 2.11999988555908, 3.66000008583069, 
#>         1.82000005245209, 3.5, 3.52999997138977, 2.64000010490417, 
#>         2.89000010490417, 4.44000005722046, 3.19000005722046, 
#>         2.88000011444092, 1.99000000953674, 2.84999990463257, 
#>         3.78999996185303, 2.9300000667572, 3.61999988555908, 
#>         2.44000005722046, 3.44000005722046, 2.79999995231628, 
#>         2.44000005722046, 3.33999991416931, 2.50999999046326, 
#>         2.78999996185303, 2.82999992370605, 3.6800000667572, 
#>         2.61999988555908, 1.41999995708466, 3.9300000667572, 
#>         2.95000004768372, 3.02999997138977, 2.75, 3.04999995231628, 
#>         3.13000011444092, 3.16000008583069, 2.52999997138977, 
#>         2.79999995231628, 2.19000005722046, 2.6800000667572, 
#>         3.33999991416931, 1.97000002861023, 2.09999990463257, 
#>         2.99000000953674, 2.74000000953674, 1.62000000476837, 
#>         3.16000008583069, 3.71000003814697, 2.63000011444092, 
#>         1.98000001907349, 1.5, 3.09999990463257, 3.40000009536743, 
#>         4, 2.38000011444092, 1.96000003814697, 2.67000007629395, 
#>         3.33999991416931, 3.23000001907349, 2.67000007629395, 
#>         2.85999989509583, 2.40000009536743, 1.61000001430511, 
#>         2.91000008583069), full = c(100L, 57L, 81L, 64L, 90L, 
#>         95L, 96L, 93L, 91L, 96L, 84L, 65L, 93L, 55L, 80L, 67L, 
#>         97L, 89L, 100L, 90L, 97L, 89L, 78L, 81L, 81L, 95L, 77L, 
#>         95L, 88L, 100L, 97L, 31L, 91L, 98L, 66L, 94L, 94L, 84L, 
#>         47L, 96L, 97L, 82L, 100L, 85L, 100L, 97L, 84L, 88L, 93L, 
#>         93L, 100L, 95L, 100L, 83L, 78L, 98L, 77L, 100L, 95L, 
#>         100L, 97L, 87L, 24L, 91L, 68L, 95L, 100L, 97L, 93L, 64L, 
#>         92L, 81L, 80L, 72L, 100L, 84L, 94L, 80L, 89L, 56L, 100L, 
#>         95L, 96L, 97L, 100L, 99L, 100L, 100L, 99L, 100L, 73L, 
#>         92L, 91L, 86L, 90L, 98L, 67L, 81L, 89L, 93L, 100L, 76L, 
#>         79L, 56L, 78L, 96L, 93L, 100L, 100L, 100L, 96L, 90L, 
#>         100L, 94L, 97L, 93L, 61L, 75L, 80L, 73L, 100L, 100L, 
#>         100L, 100L, 100L, 82L, 88L, 74L, 82L, 84L, 92L, 62L, 
#>         91L, 85L, 100L, 91L, 78L, 94L, 81L, 70L, 86L, 84L, 100L, 
#>         88L, 84L, 100L, 93L, 95L, 94L, 55L, 88L, 96L, 73L, 92L, 
#>         84L, 95L, 85L, 81L, 99L, 67L, 94L, 92L, 95L, 87L, 78L, 
#>         98L, 92L, 83L, 66L, 81L, 80L, 92L, 96L, 96L, 66L, 84L, 
#>         92L, 70L, 100L, 97L, 71L, 83L, 97L, 100L, 82L, 91L, 96L, 
#>         68L, 88L, 88L, 83L, 68L, 65L, 67L, 100L, 42L, 95L, 78L, 
#>         95L, 97L), emer = c(0L, 40L, 26L, 24L, 7L, 0L, 0L, 8L, 
#>         14L, 0L, 18L, 37L, 17L, 26L, 19L, 33L, 3L, 13L, 7L, 14L, 
#>         0L, 11L, 22L, 19L, 15L, 0L, 17L, 6L, 4L, 8L, 3L, 63L, 
#>         3L, 9L, 35L, 6L, 13L, 16L, 47L, 4L, 6L, 18L, 3L, 18L, 
#>         0L, 3L, 9L, 0L, 7L, 0L, 0L, 8L, 0L, 9L, 23L, 0L, 17L, 
#>         6L, 5L, 0L, 3L, 5L, 72L, 15L, 34L, 5L, 0L, 3L, 4L, 29L, 
#>         10L, 22L, 17L, 28L, 0L, 13L, 13L, 20L, 11L, 44L, 2L, 
#>         0L, 7L, 3L, 0L, 3L, 0L, 0L, 4L, 12L, 19L, 17L, 15L, 14L, 
#>         10L, 2L, 28L, 14L, 11L, 5L, 0L, 12L, 24L, 40L, 16L, 4L, 
#>         7L, 0L, 21L, 0L, 4L, 14L, 0L, 9L, 3L, 8L, 39L, 25L, 17L, 
#>         30L, 0L, 10L, 0L, 0L, 0L, 11L, 6L, 11L, 18L, 14L, 8L, 
#>         15L, 8L, 15L, 0L, 5L, 11L, 6L, 16L, 37L, 7L, 16L, 3L, 
#>         12L, 1L, 0L, 7L, 3L, 6L, 42L, 12L, 4L, 24L, 14L, 12L, 
#>         5L, 15L, 3L, 4L, 33L, 6L, 8L, 8L, 10L, 19L, 2L, 10L, 
#>         13L, 25L, 19L, 13L, 0L, 1L, 6L, 28L, 14L, 8L, 30L, 0L, 
#>         6L, 18L, 17L, 6L, 3L, 7L, 9L, 0L, 26L, 12L, 5L, 17L, 
#>         28L, 34L, 30L, 0L, 39L, 4L, 13L, 5L, 3L), enroll = c(276L, 
#>         841L, 441L, 298L, 354L, 330L, 385L, 583L, 763L, 381L, 
#>         1293L, 1043L, 2165L, 739L, 1894L, 1112L, 515L, 1116L, 
#>         739L, 262L, 528L, 912L, 278L, 357L, 2552L, 266L, 1105L, 
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#>         1L, 1L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 
#>         1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 
#>         1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 3L, 1L, 
#>         1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 1L, 
#>         3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 
#>         1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 3L, 
#>         1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 3L, 
#>         3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 
#>         3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 2L, 3L, 2L, 1L, 3L, 
#>         1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 
#>         1L, 2L), name = c("Open Magnet: Ce", "Belvedere Eleme", 
#>         "Altadena Elemen", "Soto Street Ele", "Walnut Canyon E", 
#>         "Atherwood Eleme", "Township Elemen", "Thorner (Dr. Ju", 
#>         "Nicoloff (Georg", "Valle Lindo Ele", "Frisbie Middle", 
#>         "Rivera (Tomas) ", "Roosevelt High", "Frick Middle", 
#>         "Rancho Verde Hi", "Corona Avenue E", "Rosita Elementa", 
#>         "Cree (Raymond) ", "Rancho San Joaq", "Orange Center E", 
#>         "Pine Street Ele", "Buchser Middle", "Frost (Earl) El", 
#>         "Farmersville Hi", "Fontana Miller ", "Crocker Highlan", 
#>         "South Hills Hig", "Rancho Cotate H", "Kentwood Elemen", 
#>         "La Presa Middle", "San Lorenzo Val", "Tibby Elementar", 
#>         "Lowell Elementa", "Centennial Elem", "Marshall Fundam", 
#>         "Miramonte Eleme", "Sierra Ridge Mi", "Carquinez Middl", 
#>         "Frazier Mountai", "Sierra Vista El", "Hillview Middle", 
#>         "Gladstone High", "Highland Ranch ", "Overfelt (Willi", 
#>         "Ophir Elementar", "Valley View Ele", "Escalon High", 
#>         "Everett Middle", "El Portal Middl", "Tustin Memorial", 
#>         "Johnson (Lloyd ", "Rocky Hill Elem", "Lassen View Ele", 
#>         "Broadacres Aven", "Kelley Elementa", "Royal High", "Benjamin Frankl", 
#>         "Marston Middle", "Monroe (James) ", "Condor Elementa", 
#>         "Vargas Elementa", "Fairgrove Acade", "Bursch Elementa", 
#>         "Doig (Leroy L.)", "Muir High", "Faller Elementa", "Legette (Earl) ", 
#>         "Highlands Eleme", "Bancroft Elemen", "Mt. Vernon Midd", 
#>         "La Mesa Jr. Hig", "McKinley Elemen", "Walker Elementa", 
#>         "Navelencia Midd", "Olson (Ione) El", "Dos Palos Eleme", 
#>         "King (Martin Lu", "Edison Elementa", "Kohn (Frank) El", 
#>         "Myrtle Avenue E", "McKinleyville H", "Mark Twain Elem", 
#>         "Stockdale Eleme", "Muir (John) Ele", "Madrone Element", 
#>         "San Diego Schoo", "Redwood Element", "Sinaloa Middle", 
#>         "El Toro High", "Leavenworth (An", "Annalee Avenue ", 
#>         "Clarksburg Elem", "Monroe Elementa", "Pine Hollow Mid", 
#>         "Merlinda Elemen", "Amador County H", "Lewis (Mary B.)", 
#>         "Downtown Busine", "Jefferson (Thom", "Elliott (Brock)", 
#>         "Murwood Element", "Benton (Reginal", "Bloomington Hig", 
#>         "Vernon Middle", "Hemlock Element", "Roosevelt Eleme", 
#>         "Tamalpais High", "Thornhill Eleme", "Brannan (Sam) M", 
#>         "Old Adobe Eleme", "San Clemente Hi", "Fairview Middle", 
#>         "Summerville Hig", "King Elementary", "Palm Middle", 
#>         "San Ramon Valle", "Wilcox Elementa", "Cantua Elementa", 
#>         "Shandin Hills M", "McFarland Middl", "Ridgeview Eleme", 
#>         "Lone Pine High", "Meadow Lane Ele", "Norman (Alyce) ", 
#>         "Evergreen Middl", "Elkhorn Element", "Lynhaven Elemen", 
#>         "Haynes Elementa", "Sun Empire Elem", "Santiago High", 
#>         "Goleta Valley J", "Willowbrook Mid", "Foothill High", 
#>         "Bryant Elementa", "Olive Drive Ele", "Sierra Middle", 
#>         "El Sereno Eleme", "Delta High", "Myra Linn Eleme", "Bryant Middle", 
#>         "Twain Elementar", "Wiltsey (Ray) M", "Miller Elementa", 
#>         "Mira Loma High", "Willow Glen Hig", "College View El", 
#>         "La Canada High", "Rancho Buena Vi", "Cali Calmecac (", 
#>         "Dominguez High", "Douglass Junior", "Dunsmore Elemen", 
#>         "Joshua Hills El", "Cabrillo Middle", "Broad Avenue El", 
#>         "Sisson Elementa", "Ralston (Dr. Wa", "Steinbeck Middl", 
#>         "Beyer (Fred C.)", "Franklin (Benja", "Silverado Middl", 
#>         "Bedell (Thelma ", "Trabuco Hills H", "O'Connell (John", 
#>         "San Joaquin Ele", "Oak Ridge High", "South San Franc", 
#>         "Hamilton (Alexa", "Antelope Valley", "Rancho Milpitas", 
#>         "Pinole Junior H", "Big Pine Elemen", "Washington Midd", 
#>         "Sacramento High", "El Sereno Middl", "Burton (Phillip", 
#>         "Mariposa County", "Compton High", "Anderson Valley", 
#>         "Ukiah High", "Workman (James)", "Garfield (James", "Del Lago Elemen", 
#>         "Meadowbrook Mid", "Laurel Elementa", "El Cerrito Elem", 
#>         "Santa Susana El", "Fairwood Elemen", "Pacific (K-8)", 
#>         "Santa Susana Hi", "Machado Element", "Delano High", 
#>         "Pittsburg Senio", "Emperor Element", "Alvarado Elemen", 
#>         "One Hundred Twe", "Corona Senior H", "Sycamore Middle", 
#>         "Larsen (Ansgar)", "Lincoln High (C"), sname = c("Open Magnet: Center for Individual (Char", 
#>         "Belvedere Elementary", "Altadena Elementary", "Soto Street Elementary", 
#>         "Walnut Canyon Elementary", "Atherwood Elementary", "Township Elementary", 
#>         "Thorner (Dr. Juliet) Elementary", "Nicoloff (George) Elementary", 
#>         "Valle Lindo Elementary", "Frisbie Middle", "Rivera (Tomas) Middle", 
#>         "Roosevelt High", "Frick Middle", "Rancho Verde High", 
#>         "Corona Avenue Elementary", "Rosita Elementary", "Cree (Raymond) Middle", 
#>         "Rancho San Joaquin Middle", "Orange Center Elementary", 
#>         "Pine Street Elementary", "Buchser Middle", "Frost (Earl) Elementary", 
#>         "Farmersville High", "Fontana Miller (A.B.) High", "Crocker Highlands Elementary", 
#>         "South Hills High", "Rancho Cotate High", "Kentwood Elementary", 
#>         "La Presa Middle", "San Lorenzo Valley Junior High", 
#>         "Tibby Elementary", "Lowell Elementary", "Centennial Elementary", 
#>         "Marshall Fundamental", "Miramonte Elementary", "Sierra Ridge Middle", 
#>         "Carquinez Middle", "Frazier Mountain High", "Sierra Vista Elementary", 
#>         "Hillview Middle", "Gladstone High", "Highland Ranch Elementary", 
#>         "Overfelt (William C.) High", "Ophir Elementary", "Valley View Elementary", 
#>         "Escalon High", "Everett Middle", "El Portal Middle", 
#>         "Tustin Memorial Elementary", "Johnson (Lloyd G.) Jr. High", 
#>         "Rocky Hill Elementary", "Lassen View Elementary", "Broadacres Avenue Elementary", 
#>         "Kelley Elementary", "Royal High", "Benjamin Franklin Middle", 
#>         "Marston Middle", "Monroe (James) Elementary", "Condor Elementary", 
#>         "Vargas Elementary", "Fairgrove Academy (K-8)", "Bursch Elementary", 
#>         "Doig (Leroy L.) Intermediate", "Muir High", "Faller Elementary", 
#>         "Legette (Earl) Elementary", "Highlands Elementary", 
#>         "Bancroft Elementary", "Mt. Vernon Middle", "La Mesa Jr. High", 
#>         "McKinley Elementary", "Walker Elementary", "Navelencia Middle", 
#>         "Olson (Ione) Elementary", "Dos Palos Elementary", "King (Martin Luther Jr) Middle", 
#>         "Edison Elementary", "Kohn (Frank) Elementary", "Myrtle Avenue Elementary", 
#>         "McKinleyville High", "Mark Twain Elementary", "Stockdale Elementary", 
#>         "Muir (John) Elementary", "Madrone Elementary", "San Diego School of Creative & Performin", 
#>         "Redwood Elementary", "Sinaloa Middle", "El Toro High", 
#>         "Leavenworth (Ann B.) Elementary", "Annalee Avenue Elementary", 
#>         "Clarksburg Elementary", "Monroe Elementary", "Pine Hollow Middle", 
#>         "Merlinda Elementary", "Amador County High", "Lewis (Mary B.) Elementary", 
#>         "Downtown Business High", "Jefferson (Thomas) Middle", 
#>         "Elliott (Brock) Elementary", "Murwood Elementary", "Benton (Reginald M.) Middle", 
#>         "Bloomington High", "Vernon Middle", "Hemlock Elementary", 
#>         "Roosevelt Elementary", "Tamalpais High", "Thornhill Elementary", 
#>         "Brannan (Sam) Middle", "Old Adobe Elementary", "San Clemente High", 
#>         "Fairview Middle", "Summerville High", "King Elementary", 
#>         "Palm Middle", "San Ramon Valley High", "Wilcox Elementary", 
#>         "Cantua Elementary", "Shandin Hills Middle", "McFarland Middle", 
#>         "Ridgeview Elementary", "Lone Pine High", "Meadow Lane Elementary", 
#>         "Norman (Alyce) Elementary", "Evergreen Middle", "Elkhorn Elementary", 
#>         "Lynhaven Elementary", "Haynes Elementary", "Sun Empire Elementary", 
#>         "Santiago High", "Goleta Valley Junior High", "Willowbrook Middle", 
#>         "Foothill High", "Bryant Elementary", "Olive Drive Elementary", 
#>         "Sierra Middle", "El Sereno Elementary", "Delta High", 
#>         "Myra Linn Elementary", "Bryant Middle", "Twain Elementary", 
#>         "Wiltsey (Ray) Middle", "Miller Elementary", "Mira Loma High", 
#>         "Willow Glen High", "College View Elementary", "La Canada High", 
#>         "Rancho Buena Vista High", "Cali Calmecac (Charter #162)", 
#>         "Dominguez High", "Douglass Junior High", "Dunsmore Elementary", 
#>         "Joshua Hills Elementary", "Cabrillo Middle", "Broad Avenue Elementary", 
#>         "Sisson Elementary", "Ralston (Dr. Walter C.) Intermediate", 
#>         "Steinbeck Middle", "Beyer (Fred C.) High", "Franklin (Benjamin) Elementary", 
#>         "Silverado Middle", "Bedell (Thelma B.) Elementary", 
#>         "Trabuco Hills High", "O'Connell (John A.) High", "San Joaquin Elementary", 
#>         "Oak Ridge High", "South San Francisco High", "Hamilton (Alexander) Senior Hi", 
#>         "Antelope Valley High", "Rancho Milpitas Junior High", 
#>         "Pinole Junior High", "Big Pine Elementary", "Washington Middle", 
#>         "Sacramento High", "El Sereno Middle", "Burton (Phillip & Sala) Academic High", 
#>         "Mariposa County High", "Compton High", "Anderson Valley Elementary", 
#>         "Ukiah High", "Workman (James) Middle", "Garfield (James A.) Senior High", 
#>         "Del Lago Elementary", "Meadowbrook Middle", "Laurel Elementary", 
#>         "El Cerrito Elementary", "Santa Susana Elementary", "Fairwood Elementary", 
#>         "Pacific (K-8)", "Santa Susana High", "Machado Elementary", 
#>         "Delano High", "Pittsburg Senior High", "Emperor Elementary", 
#>         "Alvarado Elementary", "One Hundred Twelfth Street Elementary", 
#>         "Corona Senior High", "Sycamore Middle", "Larsen (Ansgar) Elementary", 
#>         "Lincoln High (Char)"), snum = c(2077, 1622, 2236, 1921, 
#>         6140, 6077, 6071, 904, 4637, 4311, 4105, 3607, 627, 215, 
#>         3599, 1678, 3015, 3491, 3237, 725, 861, 5410, 5319, 5947, 
#>         3999, 169, 1247, 5706, 1777, 4398, 5481, 2435, 1502, 
#>         636, 2231, 598, 573, 375, 1043, 5612, 5002, 1149, 4446, 
#>         5237, 3292, 2387, 4785, 4768, 4787, 3225, 354, 5874, 
#>         5511, 1632, 4100, 6055, 4759, 4565, 2995, 4043, 5417, 
#>         2457, 2428, 3001, 2233, 1037, 3839, 411, 402, 2061, 2417, 
#>         5245, 3154, 716, 2755, 2712, 114, 3122, 5903, 980, 783, 
#>         1055, 917, 4830, 5658, 4464, 5482, 2601, 3179, 700, 1606, 
#>         3720, 3525, 418, 2378, 280, 3975, 1555, 1027, 4844, 532, 
#>         2180, 3968, 4074, 4026, 5967, 2617, 208, 3786, 5641, 
#>         2878, 2807, 5976, 688, 4406, 508, 2129, 759, 4172, 1042, 
#>         3283, 864, 5505, 6155, 5843, 2799, 5196, 1760, 753, 3364, 
#>         5162, 2445, 3678, 1475, 999, 4796, 1702, 3718, 3351, 
#>         2711, 1520, 4067, 4352, 3807, 5356, 3074, 1414, 4639, 
#>         5719, 2427, 6173, 1358, 2192, 6098, 1631, 5550, 2999, 
#>         5391, 5762, 1360, 2831, 6052, 3181, 4694, 760, 551, 5076, 
#>         1565, 1132, 5446, 498, 859, 4649, 3732, 2072, 4686, 2625, 
#>         2426, 2631, 2641, 3497, 1563, 3203, 4426, 189, 3030, 
#>         6068, 5421, 4801, 6054, 3563, 938, 448, 2338, 146, 1858, 
#>         3365, 336, 5986, 3324), dname = c("Los Angeles Unified", 
#>         "Los Angeles Unified", "Pasadena Unified", "Los Angeles Unified", 
#>         "Moorpark Unified", "Simi Valley Unified", "Simi Valley Unified", 
#>         "Bakersfield City Elem", "South Bay Union Elem", "Chula Vista Elementary", 
#>         "Rialto Unified", "Val Verde Unified", "Fresno Unified", 
#>         "Oakland Unified", "Val Verde Unified", "Los Angeles Unified", 
#>         "Garden Grove Unified", "Palm Springs Unified", "Irvine Unified", 
#>         "Orange Center Elementary", "Bishop Union Elementary", 
#>         "Santa Clara Unified", "Oak Grove Elementary", "Farmersville Unified", 
#>         "Fontana Unified", "Oakland Unified", "Covina-Valley Unified", 
#>         "Cotati-Rohnert Park Unif", "Los Angeles Unified", "La Mesa-Spring Valley", 
#>         "San Lorenzo Valley Unif", "Compton Unified", "Long Beach Unified", 
#>         "Fresno Unified", "Pasadena Unified", "Clovis Unified", 
#>         "Pollock Pines Elementary", "John Swett Unified", "El Tejon Unified", 
#>         "Vacaville Unified", "Menlo Park City Elem", "Azusa Unified", 
#>         "Poway Unified", "East Side Union High", "Ophir Elementary", 
#>         "Westside Union Elem", "Escalon Unified", "San Francisco Unified", 
#>         "Escalon Unified", "Tustin Unified", "Pierce Joint Unified", 
#>         "Exeter Union Elementary", "Enterprise Elementary", "Los Angeles Unified", 
#>         "Rialto Unified", "Simi Valley Unified", "San Francisco Unified", 
#>         "San Diego City Unified", "Garden Grove Unified", "Morongo Unified", 
#>         "Sunnyvale Elementary", "Hacienda la Puente Unif", "Compton Unified", 
#>         "Garden Grove Unified", "Pasadena Unified", "Sierra Sands Unified", 
#>         "San Juan Unified", "Mt. Diablo Unified", "Mt. Diablo Unified", 
#>         "Los Angeles Unified", "William S. Hart High", "Franklin-McKinley Elem", 
#>         "Santa Ana Unified", "Kings Canyon Unified", "Monterey Peninsula Unif.", 
#>         "Dos Palos Oro Loma Unif", "Hayward Unified", "Santa Ana Unified", 
#>         "Tulare City Elementary", "Lamont Elementary", "Northern Humboldt High", 
#>         "Corcoran Joint Unified", "Panama Buena Vista Elem", 
#>         "Lodi Unified", "Rincon Valley Union Elem", "San Diego City Unified", 
#>         "San Lorenzo Valley Unif", "Novato Unified", "Saddleback Valley Unif", 
#>         "Fresno Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>         "Riverside Unified", "Mt. Diablo Unified", "West Covina Unified", 
#>         "Amador County Unified", "Colton Joint Unified", "Los Angeles Unified", 
#>         "Wasco Union Elementary", "Manteca Unified", "Walnut Creek Elementary", 
#>         "Norwalk-La Mirada Unif", "Colton Joint Unified", "Ontario-Montclair Elem", 
#>         "Fontana Unified", "Dinuba Unified", "Tamalpais Union High", 
#>         "Oakland Unified", "Sacramento City Unified", "Old Adobe Union Elem", 
#>         "Capistrano Unified", "Gonzales Unified", "Summerville Union High", 
#>         "Fresno Unified", "Lemon Grove Elementary", "San Ramon Valley Unified", 
#>         "Montebello Unified", "Golden Plains Unified", "San Bernardino City Unif", 
#>         "McFarland Unified", "Eureka Union Elementary", "Lone Pine Unified", 
#>         "Cascade Union Elementary", "Washington Unified", "Evergreen Union Elem", 
#>         "North Monterey Co Unif", "Campbell Union Elem", "Los Angeles Unified", 
#>         "Kerman Unified", "Corona-Norco Unified", "Santa Barbara High", 
#>         "Compton Unified", "Grant Joint Union High", "Long Beach Unified", 
#>         "Norris Elementary", "Lincoln Unified", "Los Angeles Unified", 
#>         "River Delta Joint Unif", "Alvord Unified", "Dos Palos Oro Loma Unif", 
#>         "Long Beach Unified", "Ontario-Montclair Elem", "Escondido Union Elem", 
#>         "San Juan Unified", "San Jose Unified", "Ocean View Elementary", 
#>         "La Canada Unified", "Vista Unified", "Windsor Unified", 
#>         "Compton Unified", "Woodland Joint Unified", "Glendale Unified", 
#>         "Palmdale Elementary", "Ventura Unified", "Los Angeles Unified", 
#>         "Mt. Shasta Union Elem", "Garden Grove Unified", "San Jose Unified", 
#>         "Modesto City High", "Glendale Unified", "Napa Valley Unified", 
#>         "Santa Paula Elementary", "Saddleback Valley Unif", "San Francisco Unified", 
#>         "Golden Plains Unified", "El Dorado Union High", "South San Francisco Unif", 
#>         "Los Angeles Unified", "Antelope Valley High", "Milpitas Unified", 
#>         "West Contra Costa Unified", "Big Pine Unified", "Vista Unified", 
#>         "Sacramento City Unified", "Los Angeles Unified", "San Francisco Unified", 
#>         "Mariposa County Unified", "Compton Unified", "Anderson Valley Unified", 
#>         "Ukiah Unified", "Palm Springs Unified", "Los Angeles Unified", 
#>         "Saddleback Valley Unif", "Poway Unified", "Oakland Unified", 
#>         "La Habra City Elementary", "Simi Valley Unified", "Sunnyvale Elementary", 
#>         "Lincoln Unified", "Simi Valley Unified", "Lake Elsinore Unified", 
#>         "Delano Joint Union High", "Pittsburg Unified", "Temple City Unified", 
#>         "New Haven Unified", "Los Angeles Unified", "Corona-Norco Unified", 
#>         "Gridley Unified", "Hueneme Elementary", "Western Placer Unified"
#>         ), dnum = c(401L, 401L, 541L, 401L, 460L, 689L, 689L, 
#>         41L, 702L, 135L, 590L, 767L, 253L, 507L, 767L, 401L, 
#>         259L, 531L, 316L, 515L, 69L, 656L, 501L, 233L, 238L, 
#>         507L, 162L, 160L, 401L, 351L, 639L, 153L, 395L, 253L, 
#>         541L, 140L, 569L, 324L, 208L, 766L, 439L, 40L, 575L, 
#>         196L, 514L, 806L, 215L, 632L, 215L, 756L, 550L, 226L, 
#>         214L, 401L, 590L, 689L, 632L, 630L, 259L, 465L, 725L, 
#>         284L, 153L, 259L, 541L, 685L, 636L, 473L, 473L, 401L, 
#>         813L, 247L, 653L, 339L, 459L, 185L, 294L, 653L, 751L, 
#>         364L, 497L, 155L, 537L, 390L, 596L, 630L, 639L, 499L, 
#>         621L, 253L, 401L, 602L, 605L, 473L, 797L, 20L, 148L, 
#>         401L, 784L, 419L, 781L, 498L, 148L, 513L, 238L, 182L, 
#>         735L, 507L, 620L, 512L, 108L, 273L, 722L, 253L, 376L, 
#>         650L, 457L, 270L, 627L, 432L, 223L, 394L, 114L, 787L, 
#>         225L, 495L, 105L, 401L, 333L, 158L, 655L, 153L, 275L, 
#>         395L, 492L, 382L, 401L, 602L, 19L, 185L, 395L, 513L, 
#>         216L, 636L, 635L, 509L, 348L, 780L, 819L, 153L, 825L, 
#>         266L, 532L, 774L, 401L, 475L, 259L, 635L, 450L, 266L, 
#>         478L, 662L, 621L, 632L, 270L, 202L, 706L, 401L, 27L, 
#>         448L, 796L, 64L, 780L, 620L, 401L, 632L, 423L, 153L, 
#>         25L, 760L, 531L, 401L, 621L, 575L, 507L, 349L, 689L, 
#>         725L, 382L, 689L, 358L, 176L, 554L, 738L, 484L, 401L, 
#>         158L, 279L, 308L, 802L), cname = c("Los Angeles", "Los Angeles", 
#>         "Los Angeles", "Los Angeles", "Ventura", "Ventura", "Ventura", 
#>         "Kern", "San Diego", "San Diego", "San Bernardino", "Riverside", 
#>         "Fresno", "Alameda", "Riverside", "Los Angeles", "Orange", 
#>         "Riverside", "Orange", "Fresno", "Inyo", "Santa Clara", 
#>         "Santa Clara", "Tulare", "San Bernardino", "Alameda", 
#>         "Los Angeles", "Sonoma", "Los Angeles", "San Diego", 
#>         "Santa Cruz", "Los Angeles", "Los Angeles", "Fresno", 
#>         "Los Angeles", "Fresno", "El Dorado", "Contra Costa", 
#>         "Kern", "Solano", "San Mateo", "Los Angeles", "San Diego", 
#>         "Santa Clara", "Placer", "Los Angeles", "San Joaquin", 
#>         "San Francisco", "San Joaquin", "Orange", "Colusa", "Tulare", 
#>         "Shasta", "Los Angeles", "San Bernardino", "Ventura", 
#>         "San Francisco", "San Diego", "Orange", "San Bernardino", 
#>         "Santa Clara", "Los Angeles", "Los Angeles", "Orange", 
#>         "Los Angeles", "Kern", "Sacramento", "Contra Costa", 
#>         "Contra Costa", "Los Angeles", "Los Angeles", "Santa Clara", 
#>         "Orange", "Fresno", "Monterey", "Merced", "Alameda", 
#>         "Orange", "Tulare", "Kern", "Humboldt", "Kings", "Kern", 
#>         "San Joaquin", "Sonoma", "San Diego", "Santa Cruz", "Marin", 
#>         "Orange", "Fresno", "Los Angeles", "Sacramento", "Riverside", 
#>         "Contra Costa", "Los Angeles", "Amador", "San Bernardino", 
#>         "Los Angeles", "Kern", "San Joaquin", "Contra Costa", 
#>         "Los Angeles", "San Bernardino", "San Bernardino", "San Bernardino", 
#>         "Tulare", "Marin", "Alameda", "Sacramento", "Sonoma", 
#>         "Orange", "Monterey", "Tuolumne", "Fresno", "San Diego", 
#>         "Contra Costa", "Los Angeles", "Fresno", "San Bernardino", 
#>         "Kern", "Placer", "Inyo", "Shasta", "Yolo", "Tehama", 
#>         "Monterey", "Santa Clara", "Los Angeles", "Fresno", "Riverside", 
#>         "Santa Barbara", "Los Angeles", "Sacramento", "Los Angeles", 
#>         "Kern", "San Joaquin", "Los Angeles", "Sacramento", "Riverside", 
#>         "Merced", "Los Angeles", "San Bernardino", "San Diego", 
#>         "Sacramento", "Santa Clara", "Orange", "Los Angeles", 
#>         "San Diego", "Sonoma", "Los Angeles", "Yolo", "Los Angeles", 
#>         "Los Angeles", "Ventura", "Los Angeles", "Siskiyou", 
#>         "Orange", "Santa Clara", "Stanislaus", "Los Angeles", 
#>         "Napa", "Ventura", "Orange", "San Francisco", "Fresno", 
#>         "El Dorado", "San Mateo", "Los Angeles", "Los Angeles", 
#>         "Santa Clara", "Contra Costa", "Inyo", "San Diego", "Sacramento", 
#>         "Los Angeles", "San Francisco", "Mariposa", "Los Angeles", 
#>         "Mendocino", "Mendocino", "Riverside", "Los Angeles", 
#>         "Orange", "San Diego", "Alameda", "Orange", "Ventura", 
#>         "Santa Clara", "San Joaquin", "Ventura", "Riverside", 
#>         "Kern", "Contra Costa", "Los Angeles", "Alameda", "Los Angeles", 
#>         "Riverside", "Butte", "Ventura", "Placer"), cnum = c(18L, 
#>         18L, 18L, 18L, 55L, 55L, 55L, 14L, 36L, 36L, 35L, 32L, 
#>         9L, 1L, 32L, 18L, 29L, 32L, 29L, 9L, 13L, 42L, 42L, 53L, 
#>         35L, 1L, 18L, 48L, 18L, 36L, 43L, 18L, 18L, 9L, 18L, 
#>         9L, 8L, 6L, 14L, 47L, 40L, 18L, 36L, 42L, 30L, 18L, 38L, 
#>         37L, 38L, 29L, 5L, 53L, 44L, 18L, 35L, 55L, 37L, 36L, 
#>         29L, 35L, 42L, 18L, 18L, 29L, 18L, 14L, 33L, 6L, 6L, 
#>         18L, 18L, 42L, 29L, 9L, 26L, 23L, 1L, 29L, 53L, 14L, 
#>         11L, 15L, 14L, 38L, 48L, 36L, 43L, 20L, 29L, 9L, 18L, 
#>         33L, 32L, 6L, 18L, 2L, 35L, 18L, 14L, 38L, 6L, 18L, 35L, 
#>         35L, 35L, 53L, 20L, 1L, 33L, 48L, 29L, 26L, 54L, 9L, 
#>         36L, 6L, 18L, 9L, 35L, 14L, 30L, 13L, 44L, 56L, 51L, 
#>         26L, 42L, 18L, 9L, 32L, 41L, 18L, 33L, 18L, 14L, 38L, 
#>         18L, 33L, 32L, 23L, 18L, 35L, 36L, 33L, 42L, 29L, 18L, 
#>         36L, 48L, 18L, 56L, 18L, 18L, 55L, 18L, 46L, 29L, 42L, 
#>         49L, 18L, 27L, 55L, 29L, 37L, 9L, 8L, 40L, 18L, 18L, 
#>         42L, 6L, 13L, 36L, 33L, 18L, 37L, 21L, 18L, 22L, 22L, 
#>         32L, 18L, 29L, 36L, 1L, 29L, 55L, 42L, 38L, 55L, 32L, 
#>         14L, 6L, 18L, 1L, 18L, 32L, 3L, 55L, 30L), flag = c(NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_), 
#>         pcttest = c(99L, 100L, 99L, 100L, 100L, 100L, 99L, 98L, 
#>         100L, 100L, 99L, 99L, 93L, 95L, 95L, 100L, 98L, 100L, 
#>         95L, 100L, 100L, 98L, 100L, 99L, 99L, 100L, 98L, 98L, 
#>         100L, 99L, 99L, 100L, 100L, 100L, 97L, 100L, 100L, 99L, 
#>         100L, 100L, 100L, 99L, 99L, 100L, 100L, 99L, 99L, 90L, 
#>         100L, 99L, 96L, 98L, 100L, 99L, 100L, 98L, 66L, 99L, 
#>         83L, 98L, 100L, 100L, 88L, 99L, 92L, 100L, 99L, 98L, 
#>         100L, 98L, 99L, 99L, 100L, 100L, 100L, 89L, 100L, 100L, 
#>         100L, 97L, 97L, 98L, 99L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 99L, 100L, 100L, 99L, 99L, 99L, 97L, 99L, 98L, 97L, 
#>         100L, 99L, 100L, 100L, 96L, 99L, 99L, 97L, 96L, 100L, 
#>         98L, 90L, 100L, 97L, 98L, 100L, 98L, 99L, 100L, 99L, 
#>         99L, 99L, 99L, 100L, 99L, 97L, 100L, 98L, 98L, 100L, 
#>         99L, 100L, 100L, 97L, 99L, 99L, 100L, 95L, 100L, 97L, 
#>         100L, 99L, 98L, 100L, 96L, 98L, 100L, 97L, 100L, 100L, 
#>         100L, 99L, 100L, 99L, 99L, 98L, 100L, 99L, 98L, 97L, 
#>         100L, 98L, 99L, 99L, 86L, 100L, 96L, 90L, 96L, 93L, 99L, 
#>         100L, 98L, 98L, 90L, 100L, 89L, 99L, 79L, 97L, 99L, 100L, 
#>         100L, 100L, 99L, 100L, 100L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 98L, 100L, 99L, 95L, 100L, 99L, 99L, 100L), api00 = c(840L, 
#>         516L, 531L, 501L, 720L, 805L, 778L, 731L, 592L, 669L, 
#>         496L, 505L, 467L, 409L, 522L, 497L, 638L, 609L, 867L, 
#>         534L, 705L, 685L, 761L, 455L, 509L, 771L, 681L, 666L, 
#>         751L, 647L, 745L, 474L, 832L, 559L, 582L, 765L, 694L, 
#>         676L, 641L, 744L, 870L, 510L, 865L, 527L, 782L, 745L, 
#>         681L, 500L, 679L, 892L, 552L, 619L, 616L, 703L, 509L, 
#>         724L, 559L, 650L, 806L, 759L, 740L, 642L, 565L, 565L, 
#>         525L, 726L, 863L, 765L, 893L, 443L, 774L, 398L, 539L, 
#>         668L, 776L, 580L, 581L, 503L, 724L, 476L, 712L, 529L, 
#>         870L, 746L, 836L, 680L, 756L, 878L, 784L, 423L, 588L, 
#>         606L, 632L, 753L, 651L, 743L, 553L, 593L, 528L, 676L, 
#>         861L, 678L, 518L, 535L, 588L, 597L, 770L, 884L, 667L, 
#>         819L, 721L, 534L, 713L, 542L, 648L, 816L, 509L, 493L, 
#>         551L, 485L, 893L, 641L, 709L, 596L, 765L, 609L, 671L, 
#>         720L, 669L, 667L, 743L, 403L, 610L, 650L, 836L, 695L, 
#>         542L, 618L, 578L, 551L, 814L, 467L, 777L, 717L, 610L, 
#>         719L, 868L, 678L, 617L, 418L, 669L, 856L, 723L, 773L, 
#>         609L, 780L, 693L, 635L, 712L, 676L, 660L, 668L, 784L, 
#>         472L, 421L, 764L, 646L, 585L, 556L, 733L, 657L, 667L, 
#>         606L, 600L, 522L, 599L, 706L, 409L, 631L, 635L, 601L, 
#>         477L, 845L, 819L, 631L, 696L, 714L, 788L, 667L, 710L, 
#>         568L, 453L, 546L, 847L, 679L, 477L, 646L, 627L, 521L, 
#>         624L), api99 = c(816L, 476L, 544L, 457L, 659L, 780L, 
#>         787L, 731L, 508L, 658L, 479L, 499L, 460L, 406L, 532L, 
#>         440L, 572L, 564L, 816L, 478L, 685L, 657L, 739L, 403L, 
#>         504L, 755L, 673L, 690L, 687L, 642L, 707L, 449L, 835L, 
#>         525L, 589L, 740L, 679L, 641L, 620L, 701L, 863L, 485L, 
#>         858L, 523L, 780L, 691L, 665L, 491L, 677L, 854L, 475L, 
#>         559L, 575L, 652L, 470L, 670L, 554L, 621L, 803L, 726L, 
#>         703L, 579L, 526L, 556L, 495L, 689L, 848L, 703L, 845L, 
#>         436L, 787L, 401L, 500L, 603L, 728L, 554L, 563L, 442L, 
#>         673L, 409L, 694L, 478L, 852L, 723L, 798L, 657L, 766L, 
#>         874L, 760L, 403L, 538L, 566L, 568L, 696L, 595L, 750L, 
#>         499L, 595L, 524L, 678L, 856L, 669L, 535L, 495L, 533L, 
#>         527L, 817L, 867L, 633L, 801L, 737L, 529L, 631L, 524L, 
#>         621L, 812L, 495L, 420L, 491L, 430L, 890L, 660L, 584L, 
#>         583L, 713L, 524L, 641L, 637L, 536L, 698L, 739L, 384L, 
#>         634L, 631L, 772L, 651L, 497L, 570L, 535L, 471L, 783L, 
#>         455L, 750L, 694L, 592L, 671L, 858L, 680L, 562L, 383L, 
#>         650L, 854L, 671L, 732L, 541L, 774L, 688L, 578L, 709L, 
#>         616L, 622L, 575L, 744L, 497L, 398L, 760L, 636L, 606L, 
#>         545L, 703L, 627L, 607L, 575L, 580L, 509L, 574L, 726L, 
#>         410L, 639L, 625L, 574L, 484L, 799L, 790L, 646L, 642L, 
#>         672L, 747L, 601L, 706L, 504L, 447L, 524L, 814L, 664L, 
#>         424L, 620L, 597L, 500L, 609L), target = c(NA, 16L, 13L, 
#>         17L, 7L, 1L, 1L, 3L, 15L, 7L, 16L, 15L, 17L, 20L, 13L, 
#>         18L, 11L, 12L, NA, 16L, 6L, 7L, 3L, 20L, 15L, 2L, 6L, 
#>         6L, 6L, 8L, 5L, 18L, NA, 14L, 11L, 3L, 6L, 8L, 9L, 5L, 
#>         NA, 16L, NA, 14L, 1L, 5L, 7L, 15L, 6L, NA, 16L, 12L, 
#>         11L, 7L, 17L, 7L, 12L, 9L, NA, 4L, 5L, 11L, 14L, 12L, 
#>         15L, 6L, NA, 5L, NA, 18L, 1L, 20L, 15L, 10L, 4L, 12L, 
#>         12L, 18L, 6L, 20L, 5L, 16L, NA, 4L, 1L, 7L, 2L, NA, 2L, 
#>         20L, 13L, 12L, 12L, 5L, 10L, 3L, 15L, 10L, 14L, 6L, NA, 
#>         7L, 13L, 15L, 13L, 14L, NA, NA, 8L, NA, 3L, 14L, 8L, 
#>         14L, 9L, NA, 15L, 19L, 15L, 19L, NA, 7L, 11L, 11L, 4L, 
#>         14L, 8L, 8L, 13L, 5L, 3L, 21L, 8L, 8L, 1L, 7L, 15L, 12L, 
#>         13L, 16L, 1L, 17L, 3L, 5L, 10L, 6L, NA, 6L, 12L, 21L, 
#>         8L, NA, 6L, 3L, 13L, 1L, 6L, 11L, 5L, 9L, 9L, 11L, 3L, 
#>         15L, 20L, 2L, 8L, 10L, 13L, 5L, 9L, 10L, 11L, 11L, 15L, 
#>         11L, 4L, 20L, 8L, 9L, 11L, 16L, 1L, 1L, 8L, 8L, 6L, 3L, 
#>         10L, 5L, 15L, 18L, 14L, NA, 7L, 19L, 9L, 10L, 15L, 10L
#>         ), growth = c(24L, 40L, -13L, 44L, 61L, 25L, -9L, 0L, 
#>         84L, 11L, 17L, 6L, 7L, 3L, -10L, 57L, 66L, 45L, 51L, 
#>         56L, 20L, 28L, 22L, 52L, 5L, 16L, 8L, -24L, 64L, 5L, 
#>         38L, 25L, -3L, 34L, -7L, 25L, 15L, 35L, 21L, 43L, 7L, 
#>         25L, 7L, 4L, 2L, 54L, 16L, 9L, 2L, 38L, 77L, 60L, 41L, 
#>         51L, 39L, 54L, 5L, 29L, 3L, 33L, 37L, 63L, 39L, 9L, 30L, 
#>         37L, 15L, 62L, 48L, 7L, -13L, -3L, 39L, 65L, 48L, 26L, 
#>         18L, 61L, 51L, 67L, 18L, 51L, 18L, 23L, 38L, 23L, -10L, 
#>         4L, 24L, 20L, 50L, 40L, 64L, 57L, 56L, -7L, 54L, -2L, 
#>         4L, -2L, 5L, 9L, -17L, 40L, 55L, 70L, -47L, 17L, 34L, 
#>         18L, -16L, 5L, 82L, 18L, 27L, 4L, 14L, 73L, 60L, 55L, 
#>         3L, -19L, 125L, 13L, 52L, 85L, 30L, 83L, 133L, -31L, 
#>         4L, 19L, -24L, 19L, 64L, 44L, 45L, 48L, 43L, 80L, 31L, 
#>         12L, 27L, 23L, 18L, 48L, 10L, -2L, 55L, 35L, 19L, 2L, 
#>         52L, 41L, 68L, 6L, 5L, 57L, 3L, 60L, 38L, 93L, 40L, -25L, 
#>         23L, 4L, 10L, -21L, 11L, 30L, 30L, 60L, 31L, 20L, 13L, 
#>         25L, -20L, -1L, -8L, 10L, 27L, -7L, 46L, 29L, -15L, 54L, 
#>         42L, 41L, 66L, 4L, 64L, 6L, 22L, 33L, 15L, 53L, 26L, 
#>         30L, 21L, 15L), sch.wide = c(2L, 2L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), comp.imp = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), both = c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), awards = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), meals = c(33L, 98L, 64L, 83L, 26L, 7L, 9L, 
#>         45L, 75L, 47L, 69L, 60L, 66L, 54L, 35L, 95L, 75L, 47L, 
#>         6L, 93L, 38L, 32L, 24L, 89L, 44L, 15L, 18L, 9L, 35L, 
#>         60L, 13L, 98L, 25L, 78L, 63L, 54L, 21L, 24L, 23L, 34L, 
#>         2L, 31L, 4L, 37L, 14L, 31L, 20L, 59L, 31L, 6L, 66L, 58L, 
#>         71L, 67L, 75L, 15L, 78L, 64L, 40L, 36L, 42L, 69L, 99L, 
#>         75L, 51L, 45L, 14L, 13L, 7L, 79L, 4L, 83L, 92L, 51L, 
#>         25L, 74L, 52L, 95L, 51L, 96L, 3L, 74L, 7L, 20L, 24L, 
#>         50L, 20L, 4L, 8L, 100L, 61L, 48L, 51L, 17L, 56L, 12L, 
#>         80L, 72L, 77L, 18L, 10L, 18L, 39L, 64L, 54L, 76L, 1L, 
#>         6L, 45L, 11L, 9L, 72L, 19L, 100L, 47L, 1L, 72L, 97L, 
#>         67L, 85L, 1L, 6L, 77L, 83L, 52L, 42L, 38L, 39L, 100L, 
#>         19L, 19L, 99L, 34L, 78L, 10L, 36L, 98L, 23L, 69L, 66L, 
#>         28L, 73L, 25L, 29L, 31L, 33L, 0L, 21L, 49L, 100L, 24L, 
#>         4L, 46L, 24L, 82L, 29L, 46L, 44L, 5L, 76L, 36L, 43L, 
#>         5L, 20L, 98L, 1L, 20L, 23L, 33L, 33L, 24L, 41L, 57L, 
#>         36L, 91L, 21L, 13L, 98L, 67L, 23L, 38L, 86L, 14L, 13L, 
#>         74L, 72L, 45L, 39L, 38L, 8L, 69L, 47L, 38L, 34L, 36L, 
#>         98L, 36L, 56L, 88L, 28L), ell = c(25L, 77L, 23L, 63L, 
#>         17L, 0L, 2L, 2L, 58L, 23L, 25L, 10L, 43L, 26L, 7L, 66L, 
#>         73L, 20L, 16L, 39L, 6L, 18L, 6L, 59L, 18L, 3L, 3L, 5L, 
#>         7L, 23L, 1L, 17L, 10L, 27L, 22L, 18L, 0L, 14L, 0L, 2L, 
#>         2L, 30L, 7L, 37L, 0L, 3L, 4L, 46L, 13L, 3L, 42L, 20L, 
#>         11L, 0L, 32L, 8L, 27L, 27L, 43L, 3L, 37L, 22L, 35L, 62L, 
#>         17L, 8L, 1L, 3L, 4L, 37L, 4L, 70L, 80L, 15L, 10L, 22L, 
#>         33L, 73L, 3L, 38L, 0L, 9L, 2L, 11L, 3L, 5L, 0L, 2L, 7L, 
#>         62L, 1L, 28L, 18L, 5L, 25L, 0L, 33L, 21L, 32L, 1L, 7L, 
#>         13L, 22L, 46L, 24L, 18L, 1L, 8L, 16L, 10L, 7L, 50L, 0L, 
#>         40L, 14L, 1L, 37L, 84L, 17L, 33L, 1L, 6L, 2L, 32L, 1L, 
#>         28L, 22L, 20L, 50L, 6L, 17L, 5L, 11L, 33L, 1L, 14L, 66L, 
#>         17L, 41L, 12L, 9L, 54L, 8L, 16L, 24L, 17L, 2L, 5L, 50L, 
#>         24L, 18L, 19L, 12L, 6L, 33L, 0L, 33L, 28L, 4L, 51L, 8L, 
#>         5L, 3L, 25L, 69L, 0L, 10L, 16L, 6L, 29L, 10L, 7L, 15L, 
#>         21L, 34L, 18L, 0L, 49L, 59L, 10L, 0L, 34L, 4L, 6L, 45L, 
#>         50L, 21L, 22L, 14L, 3L, 34L, 37L, 8L, 12L, 39L, 56L, 
#>         14L, 6L, 69L, 4L), yr.rnd = c(1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), mobility = c(11L, 
#>         26L, 17L, 13L, 31L, 12L, 10L, 15L, 23L, 19L, 26L, 22L, 
#>         16L, 44L, 18L, 18L, 12L, 8L, 17L, 20L, 8L, 6L, 15L, 10L, 
#>         13L, 11L, 12L, 9L, 9L, 18L, 6L, 31L, 16L, 20L, 13L, 23L, 
#>         17L, 17L, 9L, 18L, 8L, 12L, 17L, 17L, 15L, 22L, 4L, 13L, 
#>         9L, 13L, 15L, 9L, 24L, 15L, 32L, 10L, 12L, 22L, 15L, 
#>         38L, 21L, 21L, 18L, 11L, 12L, 38L, 18L, 16L, 16L, 16L, 
#>         9L, 17L, 27L, 9L, 12L, 12L, 8L, 17L, 16L, 8L, 7L, 5L, 
#>         20L, 26L, 16L, 14L, 14L, 3L, 8L, 22L, 20L, 7L, 19L, 8L, 
#>         19L, 8L, 25L, 12L, 4L, 14L, 12L, 20L, 9L, 26L, 17L, 17L, 
#>         6L, 8L, 22L, 12L, 6L, 17L, 6L, 21L, 16L, 6L, 16L, 6L, 
#>         46L, 7L, 8L, 8L, 20L, 23L, 13L, 15L, 18L, 29L, 17L, 55L, 
#>         6L, 19L, 19L, 21L, 17L, 13L, 23L, 7L, 38L, 12L, 14L, 
#>         13L, 13L, 21L, 10L, 16L, 4L, 10L, 9L, 72L, 10L, 17L, 
#>         99L, 12L, 41L, 16L, 12L, 19L, 10L, 9L, 15L, 13L, 12L, 
#>         15L, 23L, 4L, 8L, 12L, 14L, 11L, 22L, 11L, 15L, 15L, 
#>         9L, 1L, 8L, 12L, 12L, 96L, 18L, 6L, 12L, 10L, 11L, 26L, 
#>         13L, 11L, 20L, 11L, 25L, 7L, 22L, 13L, 13L, 22L, 12L, 
#>         10L, 6L, 6L), acs.k3 = c(20L, 19L, 20L, 17L, 20L, 19L, 
#>         19L, 19L, 20L, 18L, NA, NA, NA, NA, NA, 19L, 22L, NA, 
#>         NA, 18L, 20L, NA, 19L, NA, NA, 20L, NA, NA, 16L, NA, 
#>         NA, 20L, 20L, 18L, NA, 21L, NA, NA, NA, 19L, NA, NA, 
#>         19L, NA, 16L, 18L, NA, NA, NA, 20L, NA, 19L, 20L, 18L, 
#>         19L, NA, NA, NA, 20L, 18L, 19L, 21L, 20L, NA, NA, 19L, 
#>         20L, 21L, 20L, NA, NA, 20L, 20L, NA, 19L, 19L, NA, 22L, 
#>         18L, NA, NA, NA, 19L, 20L, 18L, NA, 19L, NA, NA, 19L, 
#>         16L, 18L, 19L, NA, 20L, NA, 20L, NA, NA, 18L, 19L, NA, 
#>         NA, NA, 19L, 20L, NA, 19L, NA, 19L, NA, NA, NA, 19L, 
#>         NA, NA, 20L, 17L, NA, NA, NA, NA, 18L, 20L, NA, 20L, 
#>         20L, 18L, 18L, NA, NA, NA, NA, 19L, 18L, NA, 19L, NA, 
#>         20L, NA, 20L, NA, 20L, NA, NA, 19L, NA, NA, 20L, NA, 
#>         NA, 18L, 18L, NA, 19L, NA, NA, NA, NA, 18L, NA, 19L, 
#>         NA, NA, 20L, NA, NA, NA, NA, NA, NA, 17L, NA, NA, NA, 
#>         NA, NA, NA, 19L, NA, NA, NA, 19L, NA, 19L, 18L, 18L, 
#>         19L, 24L, NA, 20L, NA, NA, 20L, 20L, 19L, NA, NA, 20L, 
#>         NA), acs.46 = c(29L, 28L, 30L, 30L, 30L, 29L, 31L, 31L, 
#>         32L, 29L, 32L, 32L, NA, 32L, NA, 30L, 30L, 32L, NA, 23L, 
#>         31L, 33L, 32L, NA, NA, 28L, NA, NA, 24L, 31L, NA, 31L, 
#>         34L, 27L, 34L, 33L, 24L, 25L, NA, 28L, 26L, NA, 27L, 
#>         NA, 22L, 30L, NA, 26L, 30L, 26L, NA, 28L, 29L, 29L, 34L, 
#>         NA, 23L, 26L, 30L, 22L, 29L, 32L, 29L, NA, NA, 30L, 46L, 
#>         30L, 30L, 28L, NA, 29L, 30L, 28L, 22L, NA, NA, 31L, 29L, 
#>         27L, NA, 28L, 29L, 30L, 28L, 25L, 29L, 28L, NA, 28L, 
#>         26L, 26L, 31L, 30L, 31L, NA, 30L, NA, NA, 30L, 26L, 38L, 
#>         NA, 30L, 30L, 27L, NA, 29L, NA, 28L, NA, 28L, NA, 33L, 
#>         28L, NA, 30L, 25L, 30L, 21L, 25L, NA, 24L, 31L, 25L, 
#>         28L, 28L, 28L, 27L, NA, NA, 34L, NA, 32L, 27L, NA, 28L, 
#>         NA, 31L, 27L, 33L, NA, 31L, NA, NA, 30L, NA, NA, 23L, 
#>         NA, NA, 30L, 30L, 32L, 27L, 28L, NA, 28L, NA, 29L, NA, 
#>         26L, NA, NA, 23L, NA, NA, NA, NA, NA, NA, 20L, 30L, NA, 
#>         28L, NA, NA, NA, 23L, NA, 33L, NA, 30L, 29L, 30L, NA, 
#>         28L, 26L, 24L, NA, 28L, NA, NA, 31L, 31L, 28L, NA, 36L, 
#>         32L, NA), acs.core = c(NA, NA, NA, NA, NA, NA, NA, NA, 
#>         NA, NA, 30L, 32L, 27L, 29L, 28L, NA, NA, 34L, 30L, 21L, 
#>         NA, 28L, NA, 26L, 32L, NA, 28L, 27L, NA, 30L, 28L, NA, 
#>         NA, NA, 29L, NA, 29L, 24L, 25L, NA, 27L, 27L, NA, 27L, 
#>         NA, NA, 28L, 23L, 28L, NA, 27L, NA, NA, NA, NA, 31L, 
#>         23L, 29L, NA, NA, NA, 30L, NA, 27L, 26L, NA, NA, NA, 
#>         NA, 24L, 27L, NA, NA, 26L, NA, NA, 28L, NA, NA, NA, 22L, 
#>         NA, NA, NA, NA, 25L, NA, 28L, 28L, NA, NA, NA, NA, 29L, 
#>         NA, 25L, NA, 25L, 27L, 29L, NA, NA, 30L, 27L, NA, NA, 
#>         23L, NA, 27L, NA, 29L, 27L, 24L, NA, 29L, 29L, NA, 25L, 
#>         31L, 25L, NA, 21L, NA, NA, 23L, NA, NA, NA, NA, 29L, 
#>         28L, 35L, 27L, NA, NA, 31L, NA, 20L, NA, 22L, NA, 29L, 
#>         NA, 35L, 26L, NA, 31L, 29L, 25L, 32L, 28L, NA, NA, 30L, 
#>         NA, 28L, 29L, 26L, 33L, NA, 27L, NA, 28L, 15L, 28L, 27L, 
#>         27L, 26L, 28L, 30L, 30L, 19L, 31L, 27L, 24L, 26L, 29L, 
#>         29L, NA, 25L, 32L, 27L, NA, 29L, NA, NA, NA, NA, NA, 
#>         28L, NA, 28L, 26L, NA, NA, NA, 29L, 26L, NA, 24L), pct.resp = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 87L, 67L, 50L, 
#>         70L, 71L, 2L, 91L, 0L, 100L, 90L, 83L, 86L, 98L, 5L, 
#>         72L, 100L, 84L, 80L, 100L, 96L, 77L, 90L, 57L, 0L, 94L, 
#>         91L, 89L, 98L, 100L, 94L, 92L, 100L, 74L, 72L, 84L, 94L, 
#>         66L, 97L, 82L, 100L, 87L, 77L, 71L, 5L, 3L, 70L, 86L, 
#>         50L, 96L, 99L, 90L, 42L, 93L, 1L, 97L, 90L, 47L, 84L, 
#>         55L, 85L, 51L, 62L, 0L, 62L, 96L, 54L, 62L, 95L, 99L, 
#>         95L, 93L, 100L, 91L, 96L, 73L, 84L, 98L, 91L, 64L, 24L, 
#>         38L, 85L, 94L, 99L, 96L, 89L, 72L, 77L, 100L, 96L, 89L, 
#>         77L, 97L, 6L, 85L, 56L, 94L, 79L, 100L, 88L, 76L, 94L, 
#>         88L, 99L, 69L, 77L, 86L, 73L, 55L, 100L, 97L, 91L, 98L, 
#>         87L, 61L, 95L, 85L, 95L, 92L, 1L, 49L, 82L, 80L, 95L, 
#>         99L, 12L, 58L, 96L, 82L, 78L, 95L, 2L, 76L, 91L, 97L, 
#>         93L, 96L, 61L, 67L, 82L, 88L, 73L, 92L, 88L, 95L, 74L, 
#>         87L, 96L, 88L, 96L, 93L, 89L, 28L, 91L, 96L, 91L, 63L, 
#>         85L, 98L, 91L, 66L, 89L, 77L, 43L, 86L, 82L, 68L, 87L, 
#>         86L, 87L, 84L, 82L, 99L, 59L, 98L, 1L, 88L, 97L, 0L, 
#>         99L, 74L, 8L, 100L, 88L, 5L, 96L, 93L, 97L, 93L), not.hsg = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 31L, 49L, 12L, 
#>         20L, 45L, 9L, 22L, 0L, 60L, 5L, 10L, 2L, 58L, 28L, 1L, 
#>         6L, 5L, 2L, 20L, 1L, 21L, 5L, 20L, 0L, 17L, 4L, 9L, 8L, 
#>         11L, 2L, 36L, 1L, 42L, 3L, 5L, 15L, 26L, 17L, 0L, 53L, 
#>         31L, 11L, 1L, 28L, 11L, 30L, 21L, 6L, 2L, 11L, 13L, 31L, 
#>         55L, 17L, 9L, 0L, 2L, 0L, 32L, 2L, 56L, 56L, 0L, 34L, 
#>         30L, 15L, 51L, 18L, 64L, 6L, 26L, 6L, 6L, 3L, 3L, 1L, 
#>         2L, 4L, 49L, 0L, 14L, 21L, 3L, 17L, 2L, 35L, 36L, 40L, 
#>         4L, 5L, 10L, 27L, 37L, 28L, 18L, 2L, 2L, 11L, 10L, 6L, 
#>         37L, 2L, 43L, 12L, 1L, 22L, 75L, 22L, 48L, 0L, 13L, 18L, 
#>         26L, 7L, 29L, 6L, 12L, 47L, 8L, 20L, 25L, 8L, 19L, 1L, 
#>         13L, 21L, 19L, 34L, 36L, 3L, 51L, 0L, 5L, 27L, 13L, 0L, 
#>         12L, 25L, 47L, 10L, 0L, 10L, 7L, 15L, 4L, 16L, 33L, 6L, 
#>         24L, 22L, 10L, 3L, 19L, 73L, 1L, 14L, 20L, 16L, 12L, 
#>         6L, 2L, 27L, 19L, 36L, 21L, 3L, 49L, 49L, 15L, 20L, 61L, 
#>         6L, 3L, 22L, 37L, 50L, 10L, 10L, 0L, 22L, 50L, 20L, 9L, 
#>         7L, 10L, 18L, 25L, 41L, 10L), hsg = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 34L, 20L, 33L, 20L, 36L, 
#>         64L, 20L, 0L, 24L, 29L, 21L, 21L, 23L, 40L, 8L, 19L, 
#>         21L, 19L, 33L, 11L, 53L, 8L, 30L, 100L, 40L, 36L, 43L, 
#>         24L, 51L, 3L, 25L, 4L, 24L, 20L, 15L, 22L, 30L, 22L, 
#>         5L, 26L, 21L, 24L, 15L, 55L, 27L, 31L, 19L, 22L, 27L, 
#>         25L, 33L, 40L, 23L, 0L, 32L, 9L, 8L, 3L, 29L, 12L, 26L, 
#>         27L, 100L, 11L, 25L, 25L, 30L, 44L, 19L, 21L, 35L, 26L, 
#>         12L, 35L, 11L, 17L, 4L, 9L, 28L, 10L, 18L, 27L, 20L, 
#>         31L, 16L, 47L, 21L, 34L, 40L, 3L, 19L, 27L, 35L, 36L, 
#>         51L, 4L, 5L, 19L, 12L, 8L, 25L, 20L, 35L, 31L, 3L, 33L, 
#>         15L, 23L, 29L, 2L, 30L, 41L, 27L, 29L, 34L, 25L, 16L, 
#>         25L, 14L, 0L, 27L, 20L, 37L, 15L, 19L, 53L, 16L, 36L, 
#>         30L, 9L, 27L, 20L, 15L, 20L, 30L, 2L, 14L, 13L, 24L, 
#>         38L, 10L, 25L, 9L, 46L, 12L, 23L, 21L, 15L, 28L, 19L, 
#>         27L, 10L, 35L, 17L, 5L, 23L, 15L, 24L, 22L, 24L, 22L, 
#>         22L, 22L, 30L, 26L, 15L, 20L, 18L, 19L, 21L, 24L, 25L, 
#>         7L, 23L, 36L, 50L, 20L, 11L, 0L, 37L, 21L, 28L, 21L, 
#>         17L, 48L, 20L, 34L, 58L, 25L), some.col = c(0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L, 15L, 23L, 31L, 11L, 
#>         18L, 32L, 0L, 13L, 27L, 31L, 46L, 14L, 18L, 22L, 30L, 
#>         31L, 24L, 30L, 30L, 21L, 28L, 27L, 0L, 19L, 37L, 28L, 
#>         35L, 27L, 7L, 26L, 18L, 17L, 24L, 47L, 29L, 20L, 34L, 
#>         26L, 12L, 27L, 39L, 39L, 10L, 22L, 17L, 28L, 29L, 40L, 
#>         26L, 31L, 11L, 14L, 17L, 33L, 24L, 21L, 14L, 15L, 28L, 
#>         8L, 12L, 0L, 45L, 32L, 31L, 16L, 26L, 14L, 29L, 25L, 
#>         23L, 35L, 30L, 28L, 32L, 23L, 22L, 13L, 36L, 38L, 33L, 
#>         34L, 37L, 36L, 13L, 15L, 16L, 32L, 18L, 37L, 25L, 18L, 
#>         20L, 21L, 11L, 13L, 31L, 29L, 23L, 22L, 40L, 18L, 39L, 
#>         12L, 19L, 6L, 31L, 10L, 14L, 25L, 29L, 33L, 40L, 23L, 
#>         35L, 25L, 17L, 30L, 0L, 20L, 33L, 26L, 37L, 34L, 6L, 
#>         30L, 22L, 24L, 29L, 14L, 40L, 23L, 22L, 20L, 6L, 31L, 
#>         28L, 14L, 17L, 25L, 37L, 32L, 22L, 35L, 31L, 19L, 31L, 
#>         29L, 26L, 43L, 24L, 19L, 7L, 23L, 25L, 22L, 34L, 26L, 
#>         28L, 38L, 28L, 26L, 16L, 20L, 40L, 15L, 13L, 34L, 33L, 
#>         8L, 27L, 29L, 32L, 21L, 0L, 28L, 32L, 50L, 25L, 14L, 
#>         20L, 20L, 33L, 10L, 29L, 20L, 0L, 34L), col.grad = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 10L, 12L, 29L, 
#>         23L, 8L, 9L, 16L, 100L, 2L, 28L, 28L, 26L, 3L, 13L, 27L, 
#>         30L, 34L, 44L, 13L, 42L, 5L, 29L, 21L, 0L, 20L, 19L, 
#>         16L, 28L, 10L, 35L, 10L, 42L, 14L, 42L, 20L, 27L, 21L, 
#>         19L, 35L, 8L, 13L, 22L, 33L, 7L, 31L, 19L, 22L, 39L, 
#>         24L, 22L, 17L, 15L, 7L, 67L, 19L, 39L, 39L, 39L, 23L, 
#>         41L, 5L, 4L, 0L, 10L, 10L, 22L, 3L, 9L, 2L, 33L, 11L, 
#>         34L, 28L, 25L, 40L, 41L, 42L, 45L, 8L, 48L, 21L, 12L, 
#>         31L, 12L, 33L, 5L, 22L, 8L, 18L, 35L, 25L, 17L, 9L, 16L, 
#>         6L, 38L, 25L, 30L, 32L, 41L, 13L, 30L, 4L, 15L, 44L, 
#>         24L, 2L, 18L, 12L, 43L, 30L, 11L, 11L, 20L, 10L, 22L, 
#>         35L, 8L, 36L, 40L, 25L, 33L, 11L, 32L, 23L, 19L, 30L, 
#>         6L, 7L, 36L, 8L, 10L, 37L, 24L, 27L, 36L, 31L, 19L, 13L, 
#>         28L, 40L, 18L, 20L, 15L, 36L, 25L, 21L, 32L, 10L, 21L, 
#>         12L, 43L, 19L, 2L, 44L, 31L, 30L, 21L, 28L, 34L, 32L, 
#>         18L, 25L, 16L, 29L, 27L, 14L, 13L, 16L, 21L, 5L, 35L, 
#>         36L, 16L, 3L, 0L, 35L, 23L, 0L, 11L, 14L, 31L, 27L, 33L, 
#>         33L, 25L, 16L, 0L, 25L), grad.sch = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 4L, 3L, 6L, 0L, 0L, 11L, 
#>         0L, 2L, 11L, 10L, 5L, 1L, 1L, 43L, 16L, 8L, 11L, 4L, 
#>         17L, 1L, 30L, 2L, 0L, 3L, 4L, 4L, 4L, 1L, 54L, 3L, 36L, 
#>         2L, 11L, 13L, 8L, 3L, 9L, 33L, 2L, 8L, 5L, 12L, 0L, 9L, 
#>         4L, 11L, 4L, 7L, 16L, 6L, 3L, 1L, 0L, 7L, 28L, 30L, 43L, 
#>         2L, 16L, 4L, 1L, 0L, 0L, 3L, 7L, 0L, 3L, 1L, 11L, 3L, 
#>         11L, 19L, 7L, 17L, 10L, 30L, 20L, 1L, 6L, 9L, 7L, 13L, 
#>         3L, 12L, 1L, 6L, 2L, 6L, 39L, 9L, 3L, 2L, 0L, 3L, 45L, 
#>         55L, 10L, 17L, 22L, 2L, 8L, 0L, 4L, 41L, 3L, 1L, 7L, 
#>         1L, 41L, 2L, 2L, 2L, 5L, 4L, 12L, 12L, 4L, 12L, 40L, 
#>         3L, 5L, 8L, 15L, 11L, 2L, 5L, 2L, 3L, 23L, 1L, 30L, 20L, 
#>         7L, 10L, 55L, 13L, 16L, 2L, 7L, 24L, 10L, 33L, 2L, 14L, 
#>         5L, 5L, 15L, 9L, 11L, 9L, 21L, 8L, 1L, 28L, 7L, 14L, 
#>         5L, 12L, 8L, 5L, 6L, 8L, 2L, 4L, 14L, 1L, 7L, 16L, 6L, 
#>         1L, 9L, 25L, 7L, 2L, 0L, 7L, 24L, 50L, 4L, 1L, 2L, 23L, 
#>         10L, 0L, 9L, 4L, 0L, 5L), avg.ed = c(3.3199999332428, 
#>         1.66999995708466, 2.33999991416931, 1.86000001430511, 
#>         3.17000007629395, 3.64000010490417, 3.54999995231628, 
#>         3.09999990463257, 2.17000007629395, 2.8199999332428, 
#>         2.21000003814697, 2.22000002861023, 2.00999999046326, 
#>         2.78999996185303, 2.73000001907349, 1.82000005245209, 
#>         2.26999998092651, 2.75, 4, 1.61000001430511, 3.10999989509583, 
#>         3.05999994277954, 3.13000011444092, 1.67999994754791, 
#>         2.19000005722046, 4.03000020980835, 3.30999994277954, 
#>         3.20000004768372, 3.41000008583069, 2.48000001907349, 
#>         3.63000011444092, 2.11999988555908, 3.71000003814697, 
#>         2.54999995231628, 2, 2.50999999046326, 2.83999991416931, 
#>         2.60999989509583, 2.97000002861023, 2.39000010490417, 
#>         4.36999988555908, 2.19000005722046, 4.09000015258789, 
#>         2.10999989509583, 3.36999988555908, 3.19000005722046, 
#>         2.90000009536743, 2.45000004768372, 2.8199999332428, 
#>         3.96000003814697, 1.78999996185303, 2.47000002861023, 
#>         2.85999989509583, 3.41000008583069, 1.97000002861023, 
#>         3, 2.34999990463257, 2.82999992370605, 3.14000010490417, 
#>         3.08999991416931, 3.07999992370605, 2.70000004768372, 
#>         2.20000004768372, 1.76999998092651, 3.32999992370605, 
#>         2.82999992370605, 3.84999990463257, 3.88000011444092, 
#>         4.21999979019165, 2.34999990463257, 3.5699999332428, 
#>         1.75999999046326, 1.67999994754791, 2, 2.3199999332428, 
#>         2.29999995231628, 2.8199999332428, 1.73000001907349, 
#>         2.35999989509583, 1.57000005245209, 3.21000003814697, 
#>         2.30999994277954, 3.1800000667572, 3.4300000667572, 2.97000002861023, 
#>         3.55999994277954, 3.4300000667572, 3.95000004768372, 
#>         3.67000007629395, 1.8400000333786, 3.49000000953674, 
#>         2.9300000667572, 2.5699999332428, 3.30999994277954, 2.53999996185303, 
#>         3.38000011444092, 1.88999998569489, 2.41000008583069, 
#>         1.96000003814697, 2.82999992370605, 3.99000000953674, 
#>         3.03999996185303, 2.42000007629395, 2.04999995231628, 
#>         2.24000000953674, 2.24000000953674, 4.19999980926514, 
#>         4.26000022888184, 3.09999990463257, 3.34999990463257, 
#>         3.64000010490417, 2.19000005722046, 3.22000002861023, 
#>         1.83000004291534, 2.67000007629395, 4.21000003814697, 
#>         2.52999997138977, 1.37999999523163, 2.66000008583069, 
#>         1.87000000476837, 4.23000001907349, 2.76999998092651, 
#>         2.36999988555908, 2.35999989509583, 2.86999988555908, 
#>         2.26999998092651, 3.0699999332428, 3.20000004768372, 
#>         1.96000003814697, 3.29999995231628, 3.79999995231628, 
#>         2.51999998092651, 3.07999992370605, 2.51999998092651, 
#>         3.46000003814697, 3, 2.27999997138977, 2.85999989509583, 
#>         2.0699999332428, 2.11999988555908, 3.66000008583069, 
#>         1.82000005245209, 3.5, 3.52999997138977, 2.64000010490417, 
#>         2.89000010490417, 4.44000005722046, 3.19000005722046, 
#>         2.88000011444092, 1.99000000953674, 2.84999990463257, 
#>         3.78999996185303, 2.9300000667572, 3.61999988555908, 
#>         2.44000005722046, 3.44000005722046, 2.79999995231628, 
#>         2.44000005722046, 3.33999991416931, 2.50999999046326, 
#>         2.78999996185303, 2.82999992370605, 3.6800000667572, 
#>         2.61999988555908, 1.41999995708466, 3.9300000667572, 
#>         2.95000004768372, 3.02999997138977, 2.75, 3.04999995231628, 
#>         3.13000011444092, 3.16000008583069, 2.52999997138977, 
#>         2.79999995231628, 2.19000005722046, 2.6800000667572, 
#>         3.33999991416931, 1.97000002861023, 2.09999990463257, 
#>         2.99000000953674, 2.74000000953674, 1.62000000476837, 
#>         3.16000008583069, 3.71000003814697, 2.63000011444092, 
#>         1.98000001907349, 1.5, 3.09999990463257, 3.40000009536743, 
#>         4, 2.38000011444092, 1.96000003814697, 2.67000007629395, 
#>         3.33999991416931, 3.23000001907349, 2.67000007629395, 
#>         2.85999989509583, 2.40000009536743, 1.61000001430511, 
#>         2.91000008583069), full = c(100L, 57L, 81L, 64L, 90L, 
#>         95L, 96L, 93L, 91L, 96L, 84L, 65L, 93L, 55L, 80L, 67L, 
#>         97L, 89L, 100L, 90L, 97L, 89L, 78L, 81L, 81L, 95L, 77L, 
#>         95L, 88L, 100L, 97L, 31L, 91L, 98L, 66L, 94L, 94L, 84L, 
#>         47L, 96L, 97L, 82L, 100L, 85L, 100L, 97L, 84L, 88L, 93L, 
#>         93L, 100L, 95L, 100L, 83L, 78L, 98L, 77L, 100L, 95L, 
#>         100L, 97L, 87L, 24L, 91L, 68L, 95L, 100L, 97L, 93L, 64L, 
#>         92L, 81L, 80L, 72L, 100L, 84L, 94L, 80L, 89L, 56L, 100L, 
#>         95L, 96L, 97L, 100L, 99L, 100L, 100L, 99L, 100L, 73L, 
#>         92L, 91L, 86L, 90L, 98L, 67L, 81L, 89L, 93L, 100L, 76L, 
#>         79L, 56L, 78L, 96L, 93L, 100L, 100L, 100L, 96L, 90L, 
#>         100L, 94L, 97L, 93L, 61L, 75L, 80L, 73L, 100L, 100L, 
#>         100L, 100L, 100L, 82L, 88L, 74L, 82L, 84L, 92L, 62L, 
#>         91L, 85L, 100L, 91L, 78L, 94L, 81L, 70L, 86L, 84L, 100L, 
#>         88L, 84L, 100L, 93L, 95L, 94L, 55L, 88L, 96L, 73L, 92L, 
#>         84L, 95L, 85L, 81L, 99L, 67L, 94L, 92L, 95L, 87L, 78L, 
#>         98L, 92L, 83L, 66L, 81L, 80L, 92L, 96L, 96L, 66L, 84L, 
#>         92L, 70L, 100L, 97L, 71L, 83L, 97L, 100L, 82L, 91L, 96L, 
#>         68L, 88L, 88L, 83L, 68L, 65L, 67L, 100L, 42L, 95L, 78L, 
#>         95L, 97L), emer = c(0L, 40L, 26L, 24L, 7L, 0L, 0L, 8L, 
#>         14L, 0L, 18L, 37L, 17L, 26L, 19L, 33L, 3L, 13L, 7L, 14L, 
#>         0L, 11L, 22L, 19L, 15L, 0L, 17L, 6L, 4L, 8L, 3L, 63L, 
#>         3L, 9L, 35L, 6L, 13L, 16L, 47L, 4L, 6L, 18L, 3L, 18L, 
#>         0L, 3L, 9L, 0L, 7L, 0L, 0L, 8L, 0L, 9L, 23L, 0L, 17L, 
#>         6L, 5L, 0L, 3L, 5L, 72L, 15L, 34L, 5L, 0L, 3L, 4L, 29L, 
#>         10L, 22L, 17L, 28L, 0L, 13L, 13L, 20L, 11L, 44L, 2L, 
#>         0L, 7L, 3L, 0L, 3L, 0L, 0L, 4L, 12L, 19L, 17L, 15L, 14L, 
#>         10L, 2L, 28L, 14L, 11L, 5L, 0L, 12L, 24L, 40L, 16L, 4L, 
#>         7L, 0L, 21L, 0L, 4L, 14L, 0L, 9L, 3L, 8L, 39L, 25L, 17L, 
#>         30L, 0L, 10L, 0L, 0L, 0L, 11L, 6L, 11L, 18L, 14L, 8L, 
#>         15L, 8L, 15L, 0L, 5L, 11L, 6L, 16L, 37L, 7L, 16L, 3L, 
#>         12L, 1L, 0L, 7L, 3L, 6L, 42L, 12L, 4L, 24L, 14L, 12L, 
#>         5L, 15L, 3L, 4L, 33L, 6L, 8L, 8L, 10L, 19L, 2L, 10L, 
#>         13L, 25L, 19L, 13L, 0L, 1L, 6L, 28L, 14L, 8L, 30L, 0L, 
#>         6L, 18L, 17L, 6L, 3L, 7L, 9L, 0L, 26L, 12L, 5L, 17L, 
#>         28L, 34L, 30L, 0L, 39L, 4L, 13L, 5L, 3L), enroll = c(276L, 
#>         841L, 441L, 298L, 354L, 330L, 385L, 583L, 763L, 381L, 
#>         1293L, 1043L, 2165L, 739L, 1894L, 1112L, 515L, 1116L, 
#>         739L, 262L, 528L, 912L, 278L, 357L, 2552L, 266L, 1105L, 
#>         1586L, 256L, 1173L, 539L, 443L, 450L, 553L, 1527L, 589L, 
#>         363L, 475L, 331L, 312L, 558L, 983L, 474L, 1423L, 184L, 
#>         446L, 682L, 491L, 715L, 369L, 179L, 681L, 263L, 313L, 
#>         522L, 1820L, 598L, 1162L, 339L, 334L, 323L, 655L, 388L, 
#>         817L, 1033L, 342L, 355L, 537L, 382L, 2039L, 1345L, 444L, 
#>         603L, 390L, 264L, 158L, 618L, 643L, 424L, 541L, 532L, 
#>         473L, 337L, 447L, 334L, 1115L, 290L, 767L, 1956L, 660L, 
#>         285L, 143L, 555L, 829L, 382L, 695L, 571L, 637L, 529L, 
#>         619L, 270L, 775L, 1515L, 954L, 441L, 387L, 633L, 227L, 
#>         893L, 155L, 1771L, 635L, 588L, 325L, 725L, 1469L, 437L, 
#>         195L, 1087L, 554L, 445L, 119L, 292L, 332L, 358L, 339L, 
#>         386L, 250L, 587L, 1989L, 802L, 608L, 1139L, 262L, 304L, 
#>         525L, 459L, 195L, 492L, 480L, 615L, 892L, 437L, 1148L, 
#>         1032L, 390L, 1692L, 2247L, 547L, 1068L, 1191L, 365L, 
#>         770L, 934L, 678L, 348L, 714L, 708L, 2018L, 271L, 895L, 
#>         307L, 1788L, 216L, 620L, 1377L, 1115L, 2181L, 1783L, 
#>         696L, 933L, 153L, 1524L, 1389L, 2171L, 1313L, 542L, 1684L, 
#>         213L, 1520L, 1012L, 3156L, 410L, 1358L, 364L, 169L, 368L, 
#>         190L, 368L, 763L, 601L, 2237L, 1602L, 420L, 613L, 446L, 
#>         1754L, 423L, 482L, 599L), api.stu = c(241L, 631L, 415L, 
#>         288L, 319L, 315L, 363L, 510L, 652L, 322L, 1035L, 815L, 
#>         1850L, 658L, 1451L, 931L, 447L, 966L, 585L, 192L, 479L, 
#>         796L, 266L, 302L, 2238L, 241L, 851L, 1349L, 222L, 923L, 
#>         494L, 401L, 397L, 509L, 1458L, 509L, 306L, 402L, 285L, 
#>         266L, 515L, 853L, 397L, 780L, 148L, 356L, 645L, 384L, 
#>         643L, 327L, 143L, 602L, 226L, 256L, 437L, 1607L, 340L, 
#>         1077L, 243L, 244L, 257L, 622L, 299L, 675L, 884L, 293L, 
#>         284L, 438L, 312L, 1769L, 565L, 368L, 532L, 339L, 238L, 
#>         124L, 545L, 567L, 386L, 478L, 303L, 397L, 278L, 354L, 
#>         265L, 1099L, 256L, 735L, 1756L, 597L, 250L, 133L, 484L, 
#>         714L, 304L, 626L, 436L, 594L, 492L, 542L, 239L, 653L, 
#>         1309L, 746L, 383L, 338L, 364L, 185L, 749L, 137L, 1454L, 
#>         461L, 318L, 288L, 613L, 1344L, 366L, 168L, 963L, 490L, 
#>         395L, 106L, 228L, 320L, 273L, 301L, 323L, 219L, 478L, 
#>         1581L, 386L, 544L, 665L, 241L, 251L, 434L, 349L, 178L, 
#>         376L, 448L, 552L, 774L, 381L, 840L, 932L, 325L, 1552L, 
#>         2052L, 487L, 1147L, 1063L, 326L, 645L, 845L, 403L, 296L, 
#>         591L, 524L, 1153L, 261L, 783L, 278L, 1593L, 162L, 500L, 
#>         917L, 914L, 1958L, 814L, 595L, 756L, 123L, 1254L, 1137L, 
#>         1995L, 1111L, 430L, 1208L, 175L, 1306L, 1082L, 2900L, 
#>         372L, 1182L, 347L, 142L, 332L, 168L, 314L, 691L, 457L, 
#>         1248L, 1178L, 352L, 534L, 351L, 1516L, 369L, 446L, 517L
#>         ), pw = c(44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 20.3600006103516, 
#>         15.1000003814697, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 20.3600006103516, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 15.1000003814697, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>         15.1000003814697, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 20.3600006103516, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         15.1000003814697, 20.3600006103516, 20.3600006103516, 
#>         15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 20.3600006103516, 
#>         20.3600006103516, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         15.1000003814697, 15.1000003814697, 44.2099990844727, 
#>         15.1000003814697, 15.1000003814697, 15.1000003814697, 
#>         15.1000003814697, 20.3600006103516, 20.3600006103516, 
#>         44.2099990844727, 20.3600006103516, 15.1000003814697, 
#>         20.3600006103516, 15.1000003814697, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         44.2099990844727, 15.1000003814697), fpc = c(4421, 4421, 
#>         4421, 4421, 4421, 4421, 4421, 4421, 4421, 4421, 1018, 
#>         1018, 755, 1018, 755, 4421, 4421, 1018, 1018, 4421, 4421, 
#>         1018, 4421, 755, 755, 4421, 755, 755, 4421, 1018, 1018, 
#>         4421, 4421, 4421, 755, 4421, 1018, 1018, 755, 4421, 1018, 
#>         755, 4421, 755, 4421, 4421, 755, 1018, 1018, 4421, 1018, 
#>         4421, 4421, 4421, 4421, 755, 1018, 1018, 4421, 4421, 
#>         4421, 4421, 4421, 1018, 755, 4421, 4421, 4421, 4421, 
#>         1018, 1018, 4421, 4421, 1018, 4421, 4421, 1018, 4421, 
#>         4421, 4421, 755, 4421, 4421, 4421, 4421, 755, 4421, 1018, 
#>         755, 4421, 4421, 4421, 4421, 1018, 4421, 755, 4421, 755, 
#>         1018, 4421, 4421, 1018, 755, 1018, 4421, 4421, 755, 4421, 
#>         1018, 4421, 755, 1018, 755, 4421, 1018, 755, 4421, 4421, 
#>         1018, 1018, 4421, 755, 4421, 4421, 1018, 4421, 4421, 
#>         4421, 4421, 755, 1018, 1018, 755, 4421, 4421, 1018, 4421, 
#>         755, 4421, 1018, 4421, 1018, 4421, 755, 755, 4421, 755, 
#>         755, 4421, 755, 1018, 4421, 4421, 1018, 4421, 1018, 1018, 
#>         1018, 755, 4421, 1018, 4421, 755, 755, 4421, 755, 755, 
#>         755, 755, 1018, 1018, 4421, 1018, 755, 1018, 755, 755, 
#>         755, 4421, 755, 1018, 755, 4421, 1018, 4421, 4421, 4421, 
#>         4421, 4421, 755, 4421, 755, 755, 4421, 4421, 4421, 755, 
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#>             "Buchser Middle", "Frost (Earl) Elementary", "Farmersville High", 
#>             "Fontana Miller (A.B.) High", "Crocker Highlands Elementary", 
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#>             "Hillview Middle", "Gladstone High", "Highland Ranch Elementary", 
#>             "Overfelt (William C.) High", "Ophir Elementary", 
#>             "Valley View Elementary", "Escalon High", "Everett Middle", 
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#>             "Kelley Elementary", "Royal High", "Benjamin Franklin Middle", 
#>             "Marston Middle", "Monroe (James) Elementary", "Condor Elementary", 
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#>             "Doig (Leroy L.) Intermediate", "Muir High", "Faller Elementary", 
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#>             "Bancroft Elementary", "Mt. Vernon Middle", "La Mesa Jr. High", 
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#>             "Olson (Ione) Elementary", "Dos Palos Elementary", 
#>             "King (Martin Luther Jr) Middle", "Edison Elementary", 
#>             "Kohn (Frank) Elementary", "Myrtle Avenue Elementary", 
#>             "McKinleyville High", "Mark Twain Elementary", "Stockdale Elementary", 
#>             "Muir (John) Elementary", "Madrone Elementary", "San Diego School of Creative & Performin", 
#>             "Redwood Elementary", "Sinaloa Middle", "El Toro High", 
#>             "Leavenworth (Ann B.) Elementary", "Annalee Avenue Elementary", 
#>             "Clarksburg Elementary", "Monroe Elementary", "Pine Hollow Middle", 
#>             "Merlinda Elementary", "Amador County High", "Lewis (Mary B.) Elementary", 
#>             "Downtown Business High", "Jefferson (Thomas) Middle", 
#>             "Elliott (Brock) Elementary", "Murwood Elementary", 
#>             "Benton (Reginald M.) Middle", "Bloomington High", 
#>             "Vernon Middle", "Hemlock Elementary", "Roosevelt Elementary", 
#>             "Tamalpais High", "Thornhill Elementary", "Brannan (Sam) Middle", 
#>             "Old Adobe Elementary", "San Clemente High", "Fairview Middle", 
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#>             "Shandin Hills Middle", "McFarland Middle", "Ridgeview Elementary", 
#>             "Lone Pine High", "Meadow Lane Elementary", "Norman (Alyce) Elementary", 
#>             "Evergreen Middle", "Elkhorn Elementary", "Lynhaven Elementary", 
#>             "Haynes Elementary", "Sun Empire Elementary", "Santiago High", 
#>             "Goleta Valley Junior High", "Willowbrook Middle", 
#>             "Foothill High", "Bryant Elementary", "Olive Drive Elementary", 
#>             "Sierra Middle", "El Sereno Elementary", "Delta High", 
#>             "Myra Linn Elementary", "Bryant Middle", "Twain Elementary", 
#>             "Wiltsey (Ray) Middle", "Miller Elementary", "Mira Loma High", 
#>             "Willow Glen High", "College View Elementary", "La Canada High", 
#>             "Rancho Buena Vista High", "Cali Calmecac (Charter #162)", 
#>             "Dominguez High", "Douglass Junior High", "Dunsmore Elementary", 
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#>             "Sisson Elementary", "Ralston (Dr. Walter C.) Intermediate", 
#>             "Steinbeck Middle", "Beyer (Fred C.) High", "Franklin (Benjamin) Elementary", 
#>             "Silverado Middle", "Bedell (Thelma B.) Elementary", 
#>             "Trabuco Hills High", "O'Connell (John A.) High", 
#>             "San Joaquin Elementary", "Oak Ridge High", "South San Francisco High", 
#>             "Hamilton (Alexander) Senior Hi", "Antelope Valley High", 
#>             "Rancho Milpitas Junior High", "Pinole Junior High", 
#>             "Big Pine Elementary", "Washington Middle", "Sacramento High", 
#>             "El Sereno Middle", "Burton (Phillip & Sala) Academic High", 
#>             "Mariposa County High", "Compton High", "Anderson Valley Elementary", 
#>             "Ukiah High", "Workman (James) Middle", "Garfield (James A.) Senior High", 
#>             "Del Lago Elementary", "Meadowbrook Middle", "Laurel Elementary", 
#>             "El Cerrito Elementary", "Santa Susana Elementary", 
#>             "Fairwood Elementary", "Pacific (K-8)", "Santa Susana High", 
#>             "Machado Elementary", "Delano High", "Pittsburg Senior High", 
#>             "Emperor Elementary", "Alvarado Elementary", "One Hundred Twelfth Street Elementary", 
#>             "Corona Senior High", "Sycamore Middle", "Larsen (Ansgar) Elementary", 
#>             "Lincoln High (Char)"), snum = c(2077, 1622, 2236, 
#>             1921, 6140, 6077, 6071, 904, 4637, 4311, 4105, 3607, 
#>             627, 215, 3599, 1678, 3015, 3491, 3237, 725, 861, 
#>             5410, 5319, 5947, 3999, 169, 1247, 5706, 1777, 4398, 
#>             5481, 2435, 1502, 636, 2231, 598, 573, 375, 1043, 
#>             5612, 5002, 1149, 4446, 5237, 3292, 2387, 4785, 4768, 
#>             4787, 3225, 354, 5874, 5511, 1632, 4100, 6055, 4759, 
#>             4565, 2995, 4043, 5417, 2457, 2428, 3001, 2233, 1037, 
#>             3839, 411, 402, 2061, 2417, 5245, 3154, 716, 2755, 
#>             2712, 114, 3122, 5903, 980, 783, 1055, 917, 4830, 
#>             5658, 4464, 5482, 2601, 3179, 700, 1606, 3720, 3525, 
#>             418, 2378, 280, 3975, 1555, 1027, 4844, 532, 2180, 
#>             3968, 4074, 4026, 5967, 2617, 208, 3786, 5641, 2878, 
#>             2807, 5976, 688, 4406, 508, 2129, 759, 4172, 1042, 
#>             3283, 864, 5505, 6155, 5843, 2799, 5196, 1760, 753, 
#>             3364, 5162, 2445, 3678, 1475, 999, 4796, 1702, 3718, 
#>             3351, 2711, 1520, 4067, 4352, 3807, 5356, 3074, 1414, 
#>             4639, 5719, 2427, 6173, 1358, 2192, 6098, 1631, 5550, 
#>             2999, 5391, 5762, 1360, 2831, 6052, 3181, 4694, 760, 
#>             551, 5076, 1565, 1132, 5446, 498, 859, 4649, 3732, 
#>             2072, 4686, 2625, 2426, 2631, 2641, 3497, 1563, 3203, 
#>             4426, 189, 3030, 6068, 5421, 4801, 6054, 3563, 938, 
#>             448, 2338, 146, 1858, 3365, 336, 5986, 3324), dname = c("Los Angeles Unified", 
#>             "Los Angeles Unified", "Pasadena Unified", "Los Angeles Unified", 
#>             "Moorpark Unified", "Simi Valley Unified", "Simi Valley Unified", 
#>             "Bakersfield City Elem", "South Bay Union Elem", 
#>             "Chula Vista Elementary", "Rialto Unified", "Val Verde Unified", 
#>             "Fresno Unified", "Oakland Unified", "Val Verde Unified", 
#>             "Los Angeles Unified", "Garden Grove Unified", "Palm Springs Unified", 
#>             "Irvine Unified", "Orange Center Elementary", "Bishop Union Elementary", 
#>             "Santa Clara Unified", "Oak Grove Elementary", "Farmersville Unified", 
#>             "Fontana Unified", "Oakland Unified", "Covina-Valley Unified", 
#>             "Cotati-Rohnert Park Unif", "Los Angeles Unified", 
#>             "La Mesa-Spring Valley", "San Lorenzo Valley Unif", 
#>             "Compton Unified", "Long Beach Unified", "Fresno Unified", 
#>             "Pasadena Unified", "Clovis Unified", "Pollock Pines Elementary", 
#>             "John Swett Unified", "El Tejon Unified", "Vacaville Unified", 
#>             "Menlo Park City Elem", "Azusa Unified", "Poway Unified", 
#>             "East Side Union High", "Ophir Elementary", "Westside Union Elem", 
#>             "Escalon Unified", "San Francisco Unified", "Escalon Unified", 
#>             "Tustin Unified", "Pierce Joint Unified", "Exeter Union Elementary", 
#>             "Enterprise Elementary", "Los Angeles Unified", "Rialto Unified", 
#>             "Simi Valley Unified", "San Francisco Unified", "San Diego City Unified", 
#>             "Garden Grove Unified", "Morongo Unified", "Sunnyvale Elementary", 
#>             "Hacienda la Puente Unif", "Compton Unified", "Garden Grove Unified", 
#>             "Pasadena Unified", "Sierra Sands Unified", "San Juan Unified", 
#>             "Mt. Diablo Unified", "Mt. Diablo Unified", "Los Angeles Unified", 
#>             "William S. Hart High", "Franklin-McKinley Elem", 
#>             "Santa Ana Unified", "Kings Canyon Unified", "Monterey Peninsula Unif.", 
#>             "Dos Palos Oro Loma Unif", "Hayward Unified", "Santa Ana Unified", 
#>             "Tulare City Elementary", "Lamont Elementary", "Northern Humboldt High", 
#>             "Corcoran Joint Unified", "Panama Buena Vista Elem", 
#>             "Lodi Unified", "Rincon Valley Union Elem", "San Diego City Unified", 
#>             "San Lorenzo Valley Unif", "Novato Unified", "Saddleback Valley Unif", 
#>             "Fresno Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>             "Riverside Unified", "Mt. Diablo Unified", "West Covina Unified", 
#>             "Amador County Unified", "Colton Joint Unified", 
#>             "Los Angeles Unified", "Wasco Union Elementary", 
#>             "Manteca Unified", "Walnut Creek Elementary", "Norwalk-La Mirada Unif", 
#>             "Colton Joint Unified", "Ontario-Montclair Elem", 
#>             "Fontana Unified", "Dinuba Unified", "Tamalpais Union High", 
#>             "Oakland Unified", "Sacramento City Unified", "Old Adobe Union Elem", 
#>             "Capistrano Unified", "Gonzales Unified", "Summerville Union High", 
#>             "Fresno Unified", "Lemon Grove Elementary", "San Ramon Valley Unified", 
#>             "Montebello Unified", "Golden Plains Unified", "San Bernardino City Unif", 
#>             "McFarland Unified", "Eureka Union Elementary", "Lone Pine Unified", 
#>             "Cascade Union Elementary", "Washington Unified", 
#>             "Evergreen Union Elem", "North Monterey Co Unif", 
#>             "Campbell Union Elem", "Los Angeles Unified", "Kerman Unified", 
#>             "Corona-Norco Unified", "Santa Barbara High", "Compton Unified", 
#>             "Grant Joint Union High", "Long Beach Unified", "Norris Elementary", 
#>             "Lincoln Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>             "Alvord Unified", "Dos Palos Oro Loma Unif", "Long Beach Unified", 
#>             "Ontario-Montclair Elem", "Escondido Union Elem", 
#>             "San Juan Unified", "San Jose Unified", "Ocean View Elementary", 
#>             "La Canada Unified", "Vista Unified", "Windsor Unified", 
#>             "Compton Unified", "Woodland Joint Unified", "Glendale Unified", 
#>             "Palmdale Elementary", "Ventura Unified", "Los Angeles Unified", 
#>             "Mt. Shasta Union Elem", "Garden Grove Unified", 
#>             "San Jose Unified", "Modesto City High", "Glendale Unified", 
#>             "Napa Valley Unified", "Santa Paula Elementary", 
#>             "Saddleback Valley Unif", "San Francisco Unified", 
#>             "Golden Plains Unified", "El Dorado Union High", 
#>             "South San Francisco Unif", "Los Angeles Unified", 
#>             "Antelope Valley High", "Milpitas Unified", "West Contra Costa Unified", 
#>             "Big Pine Unified", "Vista Unified", "Sacramento City Unified", 
#>             "Los Angeles Unified", "San Francisco Unified", "Mariposa County Unified", 
#>             "Compton Unified", "Anderson Valley Unified", "Ukiah Unified", 
#>             "Palm Springs Unified", "Los Angeles Unified", "Saddleback Valley Unif", 
#>             "Poway Unified", "Oakland Unified", "La Habra City Elementary", 
#>             "Simi Valley Unified", "Sunnyvale Elementary", "Lincoln Unified", 
#>             "Simi Valley Unified", "Lake Elsinore Unified", "Delano Joint Union High", 
#>             "Pittsburg Unified", "Temple City Unified", "New Haven Unified", 
#>             "Los Angeles Unified", "Corona-Norco Unified", "Gridley Unified", 
#>             "Hueneme Elementary", "Western Placer Unified"), 
#>             dnum = c(401L, 401L, 541L, 401L, 460L, 689L, 689L, 
#>             41L, 702L, 135L, 590L, 767L, 253L, 507L, 767L, 401L, 
#>             259L, 531L, 316L, 515L, 69L, 656L, 501L, 233L, 238L, 
#>             507L, 162L, 160L, 401L, 351L, 639L, 153L, 395L, 253L, 
#>             541L, 140L, 569L, 324L, 208L, 766L, 439L, 40L, 575L, 
#>             196L, 514L, 806L, 215L, 632L, 215L, 756L, 550L, 226L, 
#>             214L, 401L, 590L, 689L, 632L, 630L, 259L, 465L, 725L, 
#>             284L, 153L, 259L, 541L, 685L, 636L, 473L, 473L, 401L, 
#>             813L, 247L, 653L, 339L, 459L, 185L, 294L, 653L, 751L, 
#>             364L, 497L, 155L, 537L, 390L, 596L, 630L, 639L, 499L, 
#>             621L, 253L, 401L, 602L, 605L, 473L, 797L, 20L, 148L, 
#>             401L, 784L, 419L, 781L, 498L, 148L, 513L, 238L, 182L, 
#>             735L, 507L, 620L, 512L, 108L, 273L, 722L, 253L, 376L, 
#>             650L, 457L, 270L, 627L, 432L, 223L, 394L, 114L, 787L, 
#>             225L, 495L, 105L, 401L, 333L, 158L, 655L, 153L, 275L, 
#>             395L, 492L, 382L, 401L, 602L, 19L, 185L, 395L, 513L, 
#>             216L, 636L, 635L, 509L, 348L, 780L, 819L, 153L, 825L, 
#>             266L, 532L, 774L, 401L, 475L, 259L, 635L, 450L, 266L, 
#>             478L, 662L, 621L, 632L, 270L, 202L, 706L, 401L, 27L, 
#>             448L, 796L, 64L, 780L, 620L, 401L, 632L, 423L, 153L, 
#>             25L, 760L, 531L, 401L, 621L, 575L, 507L, 349L, 689L, 
#>             725L, 382L, 689L, 358L, 176L, 554L, 738L, 484L, 401L, 
#>             158L, 279L, 308L, 802L), cname = c("Los Angeles", 
#>             "Los Angeles", "Los Angeles", "Los Angeles", "Ventura", 
#>             "Ventura", "Ventura", "Kern", "San Diego", "San Diego", 
#>             "San Bernardino", "Riverside", "Fresno", "Alameda", 
#>             "Riverside", "Los Angeles", "Orange", "Riverside", 
#>             "Orange", "Fresno", "Inyo", "Santa Clara", "Santa Clara", 
#>             "Tulare", "San Bernardino", "Alameda", "Los Angeles", 
#>             "Sonoma", "Los Angeles", "San Diego", "Santa Cruz", 
#>             "Los Angeles", "Los Angeles", "Fresno", "Los Angeles", 
#>             "Fresno", "El Dorado", "Contra Costa", "Kern", "Solano", 
#>             "San Mateo", "Los Angeles", "San Diego", "Santa Clara", 
#>             "Placer", "Los Angeles", "San Joaquin", "San Francisco", 
#>             "San Joaquin", "Orange", "Colusa", "Tulare", "Shasta", 
#>             "Los Angeles", "San Bernardino", "Ventura", "San Francisco", 
#>             "San Diego", "Orange", "San Bernardino", "Santa Clara", 
#>             "Los Angeles", "Los Angeles", "Orange", "Los Angeles", 
#>             "Kern", "Sacramento", "Contra Costa", "Contra Costa", 
#>             "Los Angeles", "Los Angeles", "Santa Clara", "Orange", 
#>             "Fresno", "Monterey", "Merced", "Alameda", "Orange", 
#>             "Tulare", "Kern", "Humboldt", "Kings", "Kern", "San Joaquin", 
#>             "Sonoma", "San Diego", "Santa Cruz", "Marin", "Orange", 
#>             "Fresno", "Los Angeles", "Sacramento", "Riverside", 
#>             "Contra Costa", "Los Angeles", "Amador", "San Bernardino", 
#>             "Los Angeles", "Kern", "San Joaquin", "Contra Costa", 
#>             "Los Angeles", "San Bernardino", "San Bernardino", 
#>             "San Bernardino", "Tulare", "Marin", "Alameda", "Sacramento", 
#>             "Sonoma", "Orange", "Monterey", "Tuolumne", "Fresno", 
#>             "San Diego", "Contra Costa", "Los Angeles", "Fresno", 
#>             "San Bernardino", "Kern", "Placer", "Inyo", "Shasta", 
#>             "Yolo", "Tehama", "Monterey", "Santa Clara", "Los Angeles", 
#>             "Fresno", "Riverside", "Santa Barbara", "Los Angeles", 
#>             "Sacramento", "Los Angeles", "Kern", "San Joaquin", 
#>             "Los Angeles", "Sacramento", "Riverside", "Merced", 
#>             "Los Angeles", "San Bernardino", "San Diego", "Sacramento", 
#>             "Santa Clara", "Orange", "Los Angeles", "San Diego", 
#>             "Sonoma", "Los Angeles", "Yolo", "Los Angeles", "Los Angeles", 
#>             "Ventura", "Los Angeles", "Siskiyou", "Orange", "Santa Clara", 
#>             "Stanislaus", "Los Angeles", "Napa", "Ventura", "Orange", 
#>             "San Francisco", "Fresno", "El Dorado", "San Mateo", 
#>             "Los Angeles", "Los Angeles", "Santa Clara", "Contra Costa", 
#>             "Inyo", "San Diego", "Sacramento", "Los Angeles", 
#>             "San Francisco", "Mariposa", "Los Angeles", "Mendocino", 
#>             "Mendocino", "Riverside", "Los Angeles", "Orange", 
#>             "San Diego", "Alameda", "Orange", "Ventura", "Santa Clara", 
#>             "San Joaquin", "Ventura", "Riverside", "Kern", "Contra Costa", 
#>             "Los Angeles", "Alameda", "Los Angeles", "Riverside", 
#>             "Butte", "Ventura", "Placer"), cnum = c(18L, 18L, 
#>             18L, 18L, 55L, 55L, 55L, 14L, 36L, 36L, 35L, 32L, 
#>             9L, 1L, 32L, 18L, 29L, 32L, 29L, 9L, 13L, 42L, 42L, 
#>             53L, 35L, 1L, 18L, 48L, 18L, 36L, 43L, 18L, 18L, 
#>             9L, 18L, 9L, 8L, 6L, 14L, 47L, 40L, 18L, 36L, 42L, 
#>             30L, 18L, 38L, 37L, 38L, 29L, 5L, 53L, 44L, 18L, 
#>             35L, 55L, 37L, 36L, 29L, 35L, 42L, 18L, 18L, 29L, 
#>             18L, 14L, 33L, 6L, 6L, 18L, 18L, 42L, 29L, 9L, 26L, 
#>             23L, 1L, 29L, 53L, 14L, 11L, 15L, 14L, 38L, 48L, 
#>             36L, 43L, 20L, 29L, 9L, 18L, 33L, 32L, 6L, 18L, 2L, 
#>             35L, 18L, 14L, 38L, 6L, 18L, 35L, 35L, 35L, 53L, 
#>             20L, 1L, 33L, 48L, 29L, 26L, 54L, 9L, 36L, 6L, 18L, 
#>             9L, 35L, 14L, 30L, 13L, 44L, 56L, 51L, 26L, 42L, 
#>             18L, 9L, 32L, 41L, 18L, 33L, 18L, 14L, 38L, 18L, 
#>             33L, 32L, 23L, 18L, 35L, 36L, 33L, 42L, 29L, 18L, 
#>             36L, 48L, 18L, 56L, 18L, 18L, 55L, 18L, 46L, 29L, 
#>             42L, 49L, 18L, 27L, 55L, 29L, 37L, 9L, 8L, 40L, 18L, 
#>             18L, 42L, 6L, 13L, 36L, 33L, 18L, 37L, 21L, 18L, 
#>             22L, 22L, 32L, 18L, 29L, 36L, 1L, 29L, 55L, 42L, 
#>             38L, 55L, 32L, 14L, 6L, 18L, 1L, 18L, 32L, 3L, 55L, 
#>             30L), flag = c(NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_), pcttest = c(99L, 100L, 99L, 100L, 100L, 
#>             100L, 99L, 98L, 100L, 100L, 99L, 99L, 93L, 95L, 95L, 
#>             100L, 98L, 100L, 95L, 100L, 100L, 98L, 100L, 99L, 
#>             99L, 100L, 98L, 98L, 100L, 99L, 99L, 100L, 100L, 
#>             100L, 97L, 100L, 100L, 99L, 100L, 100L, 100L, 99L, 
#>             99L, 100L, 100L, 99L, 99L, 90L, 100L, 99L, 96L, 98L, 
#>             100L, 99L, 100L, 98L, 66L, 99L, 83L, 98L, 100L, 100L, 
#>             88L, 99L, 92L, 100L, 99L, 98L, 100L, 98L, 99L, 99L, 
#>             100L, 100L, 100L, 89L, 100L, 100L, 100L, 97L, 97L, 
#>             98L, 99L, 100L, 100L, 100L, 99L, 99L, 99L, 99L, 100L, 
#>             100L, 99L, 99L, 99L, 97L, 99L, 98L, 97L, 100L, 99L, 
#>             100L, 100L, 96L, 99L, 99L, 97L, 96L, 100L, 98L, 90L, 
#>             100L, 97L, 98L, 100L, 98L, 99L, 100L, 99L, 99L, 99L, 
#>             99L, 100L, 99L, 97L, 100L, 98L, 98L, 100L, 99L, 100L, 
#>             100L, 97L, 99L, 99L, 100L, 95L, 100L, 97L, 100L, 
#>             99L, 98L, 100L, 96L, 98L, 100L, 97L, 100L, 100L, 
#>             100L, 99L, 100L, 99L, 99L, 98L, 100L, 99L, 98L, 97L, 
#>             100L, 98L, 99L, 99L, 86L, 100L, 96L, 90L, 96L, 93L, 
#>             99L, 100L, 98L, 98L, 90L, 100L, 89L, 99L, 79L, 97L, 
#>             99L, 100L, 100L, 100L, 99L, 100L, 100L, 100L, 100L, 
#>             100L, 99L, 99L, 99L, 98L, 100L, 99L, 95L, 100L, 99L, 
#>             99L, 100L), api00 = c(840L, 516L, 531L, 501L, 720L, 
#>             805L, 778L, 731L, 592L, 669L, 496L, 505L, 467L, 409L, 
#>             522L, 497L, 638L, 609L, 867L, 534L, 705L, 685L, 761L, 
#>             455L, 509L, 771L, 681L, 666L, 751L, 647L, 745L, 474L, 
#>             832L, 559L, 582L, 765L, 694L, 676L, 641L, 744L, 870L, 
#>             510L, 865L, 527L, 782L, 745L, 681L, 500L, 679L, 892L, 
#>             552L, 619L, 616L, 703L, 509L, 724L, 559L, 650L, 806L, 
#>             759L, 740L, 642L, 565L, 565L, 525L, 726L, 863L, 765L, 
#>             893L, 443L, 774L, 398L, 539L, 668L, 776L, 580L, 581L, 
#>             503L, 724L, 476L, 712L, 529L, 870L, 746L, 836L, 680L, 
#>             756L, 878L, 784L, 423L, 588L, 606L, 632L, 753L, 651L, 
#>             743L, 553L, 593L, 528L, 676L, 861L, 678L, 518L, 535L, 
#>             588L, 597L, 770L, 884L, 667L, 819L, 721L, 534L, 713L, 
#>             542L, 648L, 816L, 509L, 493L, 551L, 485L, 893L, 641L, 
#>             709L, 596L, 765L, 609L, 671L, 720L, 669L, 667L, 743L, 
#>             403L, 610L, 650L, 836L, 695L, 542L, 618L, 578L, 551L, 
#>             814L, 467L, 777L, 717L, 610L, 719L, 868L, 678L, 617L, 
#>             418L, 669L, 856L, 723L, 773L, 609L, 780L, 693L, 635L, 
#>             712L, 676L, 660L, 668L, 784L, 472L, 421L, 764L, 646L, 
#>             585L, 556L, 733L, 657L, 667L, 606L, 600L, 522L, 599L, 
#>             706L, 409L, 631L, 635L, 601L, 477L, 845L, 819L, 631L, 
#>             696L, 714L, 788L, 667L, 710L, 568L, 453L, 546L, 847L, 
#>             679L, 477L, 646L, 627L, 521L, 624L), api99 = c(816L, 
#>             476L, 544L, 457L, 659L, 780L, 787L, 731L, 508L, 658L, 
#>             479L, 499L, 460L, 406L, 532L, 440L, 572L, 564L, 816L, 
#>             478L, 685L, 657L, 739L, 403L, 504L, 755L, 673L, 690L, 
#>             687L, 642L, 707L, 449L, 835L, 525L, 589L, 740L, 679L, 
#>             641L, 620L, 701L, 863L, 485L, 858L, 523L, 780L, 691L, 
#>             665L, 491L, 677L, 854L, 475L, 559L, 575L, 652L, 470L, 
#>             670L, 554L, 621L, 803L, 726L, 703L, 579L, 526L, 556L, 
#>             495L, 689L, 848L, 703L, 845L, 436L, 787L, 401L, 500L, 
#>             603L, 728L, 554L, 563L, 442L, 673L, 409L, 694L, 478L, 
#>             852L, 723L, 798L, 657L, 766L, 874L, 760L, 403L, 538L, 
#>             566L, 568L, 696L, 595L, 750L, 499L, 595L, 524L, 678L, 
#>             856L, 669L, 535L, 495L, 533L, 527L, 817L, 867L, 633L, 
#>             801L, 737L, 529L, 631L, 524L, 621L, 812L, 495L, 420L, 
#>             491L, 430L, 890L, 660L, 584L, 583L, 713L, 524L, 641L, 
#>             637L, 536L, 698L, 739L, 384L, 634L, 631L, 772L, 651L, 
#>             497L, 570L, 535L, 471L, 783L, 455L, 750L, 694L, 592L, 
#>             671L, 858L, 680L, 562L, 383L, 650L, 854L, 671L, 732L, 
#>             541L, 774L, 688L, 578L, 709L, 616L, 622L, 575L, 744L, 
#>             497L, 398L, 760L, 636L, 606L, 545L, 703L, 627L, 607L, 
#>             575L, 580L, 509L, 574L, 726L, 410L, 639L, 625L, 574L, 
#>             484L, 799L, 790L, 646L, 642L, 672L, 747L, 601L, 706L, 
#>             504L, 447L, 524L, 814L, 664L, 424L, 620L, 597L, 500L, 
#>             609L), target = c(NA, 16L, 13L, 17L, 7L, 1L, 1L, 
#>             3L, 15L, 7L, 16L, 15L, 17L, 20L, 13L, 18L, 11L, 12L, 
#>             NA, 16L, 6L, 7L, 3L, 20L, 15L, 2L, 6L, 6L, 6L, 8L, 
#>             5L, 18L, NA, 14L, 11L, 3L, 6L, 8L, 9L, 5L, NA, 16L, 
#>             NA, 14L, 1L, 5L, 7L, 15L, 6L, NA, 16L, 12L, 11L, 
#>             7L, 17L, 7L, 12L, 9L, NA, 4L, 5L, 11L, 14L, 12L, 
#>             15L, 6L, NA, 5L, NA, 18L, 1L, 20L, 15L, 10L, 4L, 
#>             12L, 12L, 18L, 6L, 20L, 5L, 16L, NA, 4L, 1L, 7L, 
#>             2L, NA, 2L, 20L, 13L, 12L, 12L, 5L, 10L, 3L, 15L, 
#>             10L, 14L, 6L, NA, 7L, 13L, 15L, 13L, 14L, NA, NA, 
#>             8L, NA, 3L, 14L, 8L, 14L, 9L, NA, 15L, 19L, 15L, 
#>             19L, NA, 7L, 11L, 11L, 4L, 14L, 8L, 8L, 13L, 5L, 
#>             3L, 21L, 8L, 8L, 1L, 7L, 15L, 12L, 13L, 16L, 1L, 
#>             17L, 3L, 5L, 10L, 6L, NA, 6L, 12L, 21L, 8L, NA, 6L, 
#>             3L, 13L, 1L, 6L, 11L, 5L, 9L, 9L, 11L, 3L, 15L, 20L, 
#>             2L, 8L, 10L, 13L, 5L, 9L, 10L, 11L, 11L, 15L, 11L, 
#>             4L, 20L, 8L, 9L, 11L, 16L, 1L, 1L, 8L, 8L, 6L, 3L, 
#>             10L, 5L, 15L, 18L, 14L, NA, 7L, 19L, 9L, 10L, 15L, 
#>             10L), growth = c(24L, 40L, -13L, 44L, 61L, 25L, -9L, 
#>             0L, 84L, 11L, 17L, 6L, 7L, 3L, -10L, 57L, 66L, 45L, 
#>             51L, 56L, 20L, 28L, 22L, 52L, 5L, 16L, 8L, -24L, 
#>             64L, 5L, 38L, 25L, -3L, 34L, -7L, 25L, 15L, 35L, 
#>             21L, 43L, 7L, 25L, 7L, 4L, 2L, 54L, 16L, 9L, 2L, 
#>             38L, 77L, 60L, 41L, 51L, 39L, 54L, 5L, 29L, 3L, 33L, 
#>             37L, 63L, 39L, 9L, 30L, 37L, 15L, 62L, 48L, 7L, -13L, 
#>             -3L, 39L, 65L, 48L, 26L, 18L, 61L, 51L, 67L, 18L, 
#>             51L, 18L, 23L, 38L, 23L, -10L, 4L, 24L, 20L, 50L, 
#>             40L, 64L, 57L, 56L, -7L, 54L, -2L, 4L, -2L, 5L, 9L, 
#>             -17L, 40L, 55L, 70L, -47L, 17L, 34L, 18L, -16L, 5L, 
#>             82L, 18L, 27L, 4L, 14L, 73L, 60L, 55L, 3L, -19L, 
#>             125L, 13L, 52L, 85L, 30L, 83L, 133L, -31L, 4L, 19L, 
#>             -24L, 19L, 64L, 44L, 45L, 48L, 43L, 80L, 31L, 12L, 
#>             27L, 23L, 18L, 48L, 10L, -2L, 55L, 35L, 19L, 2L, 
#>             52L, 41L, 68L, 6L, 5L, 57L, 3L, 60L, 38L, 93L, 40L, 
#>             -25L, 23L, 4L, 10L, -21L, 11L, 30L, 30L, 60L, 31L, 
#>             20L, 13L, 25L, -20L, -1L, -8L, 10L, 27L, -7L, 46L, 
#>             29L, -15L, 54L, 42L, 41L, 66L, 4L, 64L, 6L, 22L, 
#>             33L, 15L, 53L, 26L, 30L, 21L, 15L), sch.wide = c(2L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>             1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>             2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L), comp.imp = c(1L, 2L, 1L, 2L, 2L, 
#>             2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 
#>             1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>             2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 
#>             1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L
#>             ), both = c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>             2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 
#>             1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 
#>             1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), awards = c(1L, 2L, 
#>             1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 
#>             2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>             2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 
#>             1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 2L, 2L), meals = c(33L, 98L, 64L, 83L, 26L, 7L, 
#>             9L, 45L, 75L, 47L, 69L, 60L, 66L, 54L, 35L, 95L, 
#>             75L, 47L, 6L, 93L, 38L, 32L, 24L, 89L, 44L, 15L, 
#>             18L, 9L, 35L, 60L, 13L, 98L, 25L, 78L, 63L, 54L, 
#>             21L, 24L, 23L, 34L, 2L, 31L, 4L, 37L, 14L, 31L, 20L, 
#>             59L, 31L, 6L, 66L, 58L, 71L, 67L, 75L, 15L, 78L, 
#>             64L, 40L, 36L, 42L, 69L, 99L, 75L, 51L, 45L, 14L, 
#>             13L, 7L, 79L, 4L, 83L, 92L, 51L, 25L, 74L, 52L, 95L, 
#>             51L, 96L, 3L, 74L, 7L, 20L, 24L, 50L, 20L, 4L, 8L, 
#>             100L, 61L, 48L, 51L, 17L, 56L, 12L, 80L, 72L, 77L, 
#>             18L, 10L, 18L, 39L, 64L, 54L, 76L, 1L, 6L, 45L, 11L, 
#>             9L, 72L, 19L, 100L, 47L, 1L, 72L, 97L, 67L, 85L, 
#>             1L, 6L, 77L, 83L, 52L, 42L, 38L, 39L, 100L, 19L, 
#>             19L, 99L, 34L, 78L, 10L, 36L, 98L, 23L, 69L, 66L, 
#>             28L, 73L, 25L, 29L, 31L, 33L, 0L, 21L, 49L, 100L, 
#>             24L, 4L, 46L, 24L, 82L, 29L, 46L, 44L, 5L, 76L, 36L, 
#>             43L, 5L, 20L, 98L, 1L, 20L, 23L, 33L, 33L, 24L, 41L, 
#>             57L, 36L, 91L, 21L, 13L, 98L, 67L, 23L, 38L, 86L, 
#>             14L, 13L, 74L, 72L, 45L, 39L, 38L, 8L, 69L, 47L, 
#>             38L, 34L, 36L, 98L, 36L, 56L, 88L, 28L), ell = c(25L, 
#>             77L, 23L, 63L, 17L, 0L, 2L, 2L, 58L, 23L, 25L, 10L, 
#>             43L, 26L, 7L, 66L, 73L, 20L, 16L, 39L, 6L, 18L, 6L, 
#>             59L, 18L, 3L, 3L, 5L, 7L, 23L, 1L, 17L, 10L, 27L, 
#>             22L, 18L, 0L, 14L, 0L, 2L, 2L, 30L, 7L, 37L, 0L, 
#>             3L, 4L, 46L, 13L, 3L, 42L, 20L, 11L, 0L, 32L, 8L, 
#>             27L, 27L, 43L, 3L, 37L, 22L, 35L, 62L, 17L, 8L, 1L, 
#>             3L, 4L, 37L, 4L, 70L, 80L, 15L, 10L, 22L, 33L, 73L, 
#>             3L, 38L, 0L, 9L, 2L, 11L, 3L, 5L, 0L, 2L, 7L, 62L, 
#>             1L, 28L, 18L, 5L, 25L, 0L, 33L, 21L, 32L, 1L, 7L, 
#>             13L, 22L, 46L, 24L, 18L, 1L, 8L, 16L, 10L, 7L, 50L, 
#>             0L, 40L, 14L, 1L, 37L, 84L, 17L, 33L, 1L, 6L, 2L, 
#>             32L, 1L, 28L, 22L, 20L, 50L, 6L, 17L, 5L, 11L, 33L, 
#>             1L, 14L, 66L, 17L, 41L, 12L, 9L, 54L, 8L, 16L, 24L, 
#>             17L, 2L, 5L, 50L, 24L, 18L, 19L, 12L, 6L, 33L, 0L, 
#>             33L, 28L, 4L, 51L, 8L, 5L, 3L, 25L, 69L, 0L, 10L, 
#>             16L, 6L, 29L, 10L, 7L, 15L, 21L, 34L, 18L, 0L, 49L, 
#>             59L, 10L, 0L, 34L, 4L, 6L, 45L, 50L, 21L, 22L, 14L, 
#>             3L, 34L, 37L, 8L, 12L, 39L, 56L, 14L, 6L, 69L, 4L
#>             ), yr.rnd = c(1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), mobility = c(11L, 
#>             26L, 17L, 13L, 31L, 12L, 10L, 15L, 23L, 19L, 26L, 
#>             22L, 16L, 44L, 18L, 18L, 12L, 8L, 17L, 20L, 8L, 6L, 
#>             15L, 10L, 13L, 11L, 12L, 9L, 9L, 18L, 6L, 31L, 16L, 
#>             20L, 13L, 23L, 17L, 17L, 9L, 18L, 8L, 12L, 17L, 17L, 
#>             15L, 22L, 4L, 13L, 9L, 13L, 15L, 9L, 24L, 15L, 32L, 
#>             10L, 12L, 22L, 15L, 38L, 21L, 21L, 18L, 11L, 12L, 
#>             38L, 18L, 16L, 16L, 16L, 9L, 17L, 27L, 9L, 12L, 12L, 
#>             8L, 17L, 16L, 8L, 7L, 5L, 20L, 26L, 16L, 14L, 14L, 
#>             3L, 8L, 22L, 20L, 7L, 19L, 8L, 19L, 8L, 25L, 12L, 
#>             4L, 14L, 12L, 20L, 9L, 26L, 17L, 17L, 6L, 8L, 22L, 
#>             12L, 6L, 17L, 6L, 21L, 16L, 6L, 16L, 6L, 46L, 7L, 
#>             8L, 8L, 20L, 23L, 13L, 15L, 18L, 29L, 17L, 55L, 6L, 
#>             19L, 19L, 21L, 17L, 13L, 23L, 7L, 38L, 12L, 14L, 
#>             13L, 13L, 21L, 10L, 16L, 4L, 10L, 9L, 72L, 10L, 17L, 
#>             99L, 12L, 41L, 16L, 12L, 19L, 10L, 9L, 15L, 13L, 
#>             12L, 15L, 23L, 4L, 8L, 12L, 14L, 11L, 22L, 11L, 15L, 
#>             15L, 9L, 1L, 8L, 12L, 12L, 96L, 18L, 6L, 12L, 10L, 
#>             11L, 26L, 13L, 11L, 20L, 11L, 25L, 7L, 22L, 13L, 
#>             13L, 22L, 12L, 10L, 6L, 6L), acs.k3 = c(20L, 19L, 
#>             20L, 17L, 20L, 19L, 19L, 19L, 20L, 18L, NA, NA, NA, 
#>             NA, NA, 19L, 22L, NA, NA, 18L, 20L, NA, 19L, NA, 
#>             NA, 20L, NA, NA, 16L, NA, NA, 20L, 20L, 18L, NA, 
#>             21L, NA, NA, NA, 19L, NA, NA, 19L, NA, 16L, 18L, 
#>             NA, NA, NA, 20L, NA, 19L, 20L, 18L, 19L, NA, NA, 
#>             NA, 20L, 18L, 19L, 21L, 20L, NA, NA, 19L, 20L, 21L, 
#>             20L, NA, NA, 20L, 20L, NA, 19L, 19L, NA, 22L, 18L, 
#>             NA, NA, NA, 19L, 20L, 18L, NA, 19L, NA, NA, 19L, 
#>             16L, 18L, 19L, NA, 20L, NA, 20L, NA, NA, 18L, 19L, 
#>             NA, NA, NA, 19L, 20L, NA, 19L, NA, 19L, NA, NA, NA, 
#>             19L, NA, NA, 20L, 17L, NA, NA, NA, NA, 18L, 20L, 
#>             NA, 20L, 20L, 18L, 18L, NA, NA, NA, NA, 19L, 18L, 
#>             NA, 19L, NA, 20L, NA, 20L, NA, 20L, NA, NA, 19L, 
#>             NA, NA, 20L, NA, NA, 18L, 18L, NA, 19L, NA, NA, NA, 
#>             NA, 18L, NA, 19L, NA, NA, 20L, NA, NA, NA, NA, NA, 
#>             NA, 17L, NA, NA, NA, NA, NA, NA, 19L, NA, NA, NA, 
#>             19L, NA, 19L, 18L, 18L, 19L, 24L, NA, 20L, NA, NA, 
#>             20L, 20L, 19L, NA, NA, 20L, NA), acs.46 = c(29L, 
#>             28L, 30L, 30L, 30L, 29L, 31L, 31L, 32L, 29L, 32L, 
#>             32L, NA, 32L, NA, 30L, 30L, 32L, NA, 23L, 31L, 33L, 
#>             32L, NA, NA, 28L, NA, NA, 24L, 31L, NA, 31L, 34L, 
#>             27L, 34L, 33L, 24L, 25L, NA, 28L, 26L, NA, 27L, NA, 
#>             22L, 30L, NA, 26L, 30L, 26L, NA, 28L, 29L, 29L, 34L, 
#>             NA, 23L, 26L, 30L, 22L, 29L, 32L, 29L, NA, NA, 30L, 
#>             46L, 30L, 30L, 28L, NA, 29L, 30L, 28L, 22L, NA, NA, 
#>             31L, 29L, 27L, NA, 28L, 29L, 30L, 28L, 25L, 29L, 
#>             28L, NA, 28L, 26L, 26L, 31L, 30L, 31L, NA, 30L, NA, 
#>             NA, 30L, 26L, 38L, NA, 30L, 30L, 27L, NA, 29L, NA, 
#>             28L, NA, 28L, NA, 33L, 28L, NA, 30L, 25L, 30L, 21L, 
#>             25L, NA, 24L, 31L, 25L, 28L, 28L, 28L, 27L, NA, NA, 
#>             34L, NA, 32L, 27L, NA, 28L, NA, 31L, 27L, 33L, NA, 
#>             31L, NA, NA, 30L, NA, NA, 23L, NA, NA, 30L, 30L, 
#>             32L, 27L, 28L, NA, 28L, NA, 29L, NA, 26L, NA, NA, 
#>             23L, NA, NA, NA, NA, NA, NA, 20L, 30L, NA, 28L, NA, 
#>             NA, NA, 23L, NA, 33L, NA, 30L, 29L, 30L, NA, 28L, 
#>             26L, 24L, NA, 28L, NA, NA, 31L, 31L, 28L, NA, 36L, 
#>             32L, NA), acs.core = c(NA, NA, NA, NA, NA, NA, NA, 
#>             NA, NA, NA, 30L, 32L, 27L, 29L, 28L, NA, NA, 34L, 
#>             30L, 21L, NA, 28L, NA, 26L, 32L, NA, 28L, 27L, NA, 
#>             30L, 28L, NA, NA, NA, 29L, NA, 29L, 24L, 25L, NA, 
#>             27L, 27L, NA, 27L, NA, NA, 28L, 23L, 28L, NA, 27L, 
#>             NA, NA, NA, NA, 31L, 23L, 29L, NA, NA, NA, 30L, NA, 
#>             27L, 26L, NA, NA, NA, NA, 24L, 27L, NA, NA, 26L, 
#>             NA, NA, 28L, NA, NA, NA, 22L, NA, NA, NA, NA, 25L, 
#>             NA, 28L, 28L, NA, NA, NA, NA, 29L, NA, 25L, NA, 25L, 
#>             27L, 29L, NA, NA, 30L, 27L, NA, NA, 23L, NA, 27L, 
#>             NA, 29L, 27L, 24L, NA, 29L, 29L, NA, 25L, 31L, 25L, 
#>             NA, 21L, NA, NA, 23L, NA, NA, NA, NA, 29L, 28L, 35L, 
#>             27L, NA, NA, 31L, NA, 20L, NA, 22L, NA, 29L, NA, 
#>             35L, 26L, NA, 31L, 29L, 25L, 32L, 28L, NA, NA, 30L, 
#>             NA, 28L, 29L, 26L, 33L, NA, 27L, NA, 28L, 15L, 28L, 
#>             27L, 27L, 26L, 28L, 30L, 30L, 19L, 31L, 27L, 24L, 
#>             26L, 29L, 29L, NA, 25L, 32L, 27L, NA, 29L, NA, NA, 
#>             NA, NA, NA, 28L, NA, 28L, 26L, NA, NA, NA, 29L, 26L, 
#>             NA, 24L), pct.resp = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 87L, 67L, 50L, 70L, 71L, 2L, 91L, 
#>             0L, 100L, 90L, 83L, 86L, 98L, 5L, 72L, 100L, 84L, 
#>             80L, 100L, 96L, 77L, 90L, 57L, 0L, 94L, 91L, 89L, 
#>             98L, 100L, 94L, 92L, 100L, 74L, 72L, 84L, 94L, 66L, 
#>             97L, 82L, 100L, 87L, 77L, 71L, 5L, 3L, 70L, 86L, 
#>             50L, 96L, 99L, 90L, 42L, 93L, 1L, 97L, 90L, 47L, 
#>             84L, 55L, 85L, 51L, 62L, 0L, 62L, 96L, 54L, 62L, 
#>             95L, 99L, 95L, 93L, 100L, 91L, 96L, 73L, 84L, 98L, 
#>             91L, 64L, 24L, 38L, 85L, 94L, 99L, 96L, 89L, 72L, 
#>             77L, 100L, 96L, 89L, 77L, 97L, 6L, 85L, 56L, 94L, 
#>             79L, 100L, 88L, 76L, 94L, 88L, 99L, 69L, 77L, 86L, 
#>             73L, 55L, 100L, 97L, 91L, 98L, 87L, 61L, 95L, 85L, 
#>             95L, 92L, 1L, 49L, 82L, 80L, 95L, 99L, 12L, 58L, 
#>             96L, 82L, 78L, 95L, 2L, 76L, 91L, 97L, 93L, 96L, 
#>             61L, 67L, 82L, 88L, 73L, 92L, 88L, 95L, 74L, 87L, 
#>             96L, 88L, 96L, 93L, 89L, 28L, 91L, 96L, 91L, 63L, 
#>             85L, 98L, 91L, 66L, 89L, 77L, 43L, 86L, 82L, 68L, 
#>             87L, 86L, 87L, 84L, 82L, 99L, 59L, 98L, 1L, 88L, 
#>             97L, 0L, 99L, 74L, 8L, 100L, 88L, 5L, 96L, 93L, 97L, 
#>             93L), not.hsg = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 31L, 49L, 12L, 20L, 45L, 9L, 22L, 0L, 
#>             60L, 5L, 10L, 2L, 58L, 28L, 1L, 6L, 5L, 2L, 20L, 
#>             1L, 21L, 5L, 20L, 0L, 17L, 4L, 9L, 8L, 11L, 2L, 36L, 
#>             1L, 42L, 3L, 5L, 15L, 26L, 17L, 0L, 53L, 31L, 11L, 
#>             1L, 28L, 11L, 30L, 21L, 6L, 2L, 11L, 13L, 31L, 55L, 
#>             17L, 9L, 0L, 2L, 0L, 32L, 2L, 56L, 56L, 0L, 34L, 
#>             30L, 15L, 51L, 18L, 64L, 6L, 26L, 6L, 6L, 3L, 3L, 
#>             1L, 2L, 4L, 49L, 0L, 14L, 21L, 3L, 17L, 2L, 35L, 
#>             36L, 40L, 4L, 5L, 10L, 27L, 37L, 28L, 18L, 2L, 2L, 
#>             11L, 10L, 6L, 37L, 2L, 43L, 12L, 1L, 22L, 75L, 22L, 
#>             48L, 0L, 13L, 18L, 26L, 7L, 29L, 6L, 12L, 47L, 8L, 
#>             20L, 25L, 8L, 19L, 1L, 13L, 21L, 19L, 34L, 36L, 3L, 
#>             51L, 0L, 5L, 27L, 13L, 0L, 12L, 25L, 47L, 10L, 0L, 
#>             10L, 7L, 15L, 4L, 16L, 33L, 6L, 24L, 22L, 10L, 3L, 
#>             19L, 73L, 1L, 14L, 20L, 16L, 12L, 6L, 2L, 27L, 19L, 
#>             36L, 21L, 3L, 49L, 49L, 15L, 20L, 61L, 6L, 3L, 22L, 
#>             37L, 50L, 10L, 10L, 0L, 22L, 50L, 20L, 9L, 7L, 10L, 
#>             18L, 25L, 41L, 10L), hsg = c(0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 34L, 20L, 33L, 20L, 36L, 
#>             64L, 20L, 0L, 24L, 29L, 21L, 21L, 23L, 40L, 8L, 19L, 
#>             21L, 19L, 33L, 11L, 53L, 8L, 30L, 100L, 40L, 36L, 
#>             43L, 24L, 51L, 3L, 25L, 4L, 24L, 20L, 15L, 22L, 30L, 
#>             22L, 5L, 26L, 21L, 24L, 15L, 55L, 27L, 31L, 19L, 
#>             22L, 27L, 25L, 33L, 40L, 23L, 0L, 32L, 9L, 8L, 3L, 
#>             29L, 12L, 26L, 27L, 100L, 11L, 25L, 25L, 30L, 44L, 
#>             19L, 21L, 35L, 26L, 12L, 35L, 11L, 17L, 4L, 9L, 28L, 
#>             10L, 18L, 27L, 20L, 31L, 16L, 47L, 21L, 34L, 40L, 
#>             3L, 19L, 27L, 35L, 36L, 51L, 4L, 5L, 19L, 12L, 8L, 
#>             25L, 20L, 35L, 31L, 3L, 33L, 15L, 23L, 29L, 2L, 30L, 
#>             41L, 27L, 29L, 34L, 25L, 16L, 25L, 14L, 0L, 27L, 
#>             20L, 37L, 15L, 19L, 53L, 16L, 36L, 30L, 9L, 27L, 
#>             20L, 15L, 20L, 30L, 2L, 14L, 13L, 24L, 38L, 10L, 
#>             25L, 9L, 46L, 12L, 23L, 21L, 15L, 28L, 19L, 27L, 
#>             10L, 35L, 17L, 5L, 23L, 15L, 24L, 22L, 24L, 22L, 
#>             22L, 22L, 30L, 26L, 15L, 20L, 18L, 19L, 21L, 24L, 
#>             25L, 7L, 23L, 36L, 50L, 20L, 11L, 0L, 37L, 21L, 28L, 
#>             21L, 17L, 48L, 20L, 34L, 58L, 25L), some.col = c(0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L, 15L, 
#>             23L, 31L, 11L, 18L, 32L, 0L, 13L, 27L, 31L, 46L, 
#>             14L, 18L, 22L, 30L, 31L, 24L, 30L, 30L, 21L, 28L, 
#>             27L, 0L, 19L, 37L, 28L, 35L, 27L, 7L, 26L, 18L, 17L, 
#>             24L, 47L, 29L, 20L, 34L, 26L, 12L, 27L, 39L, 39L, 
#>             10L, 22L, 17L, 28L, 29L, 40L, 26L, 31L, 11L, 14L, 
#>             17L, 33L, 24L, 21L, 14L, 15L, 28L, 8L, 12L, 0L, 45L, 
#>             32L, 31L, 16L, 26L, 14L, 29L, 25L, 23L, 35L, 30L, 
#>             28L, 32L, 23L, 22L, 13L, 36L, 38L, 33L, 34L, 37L, 
#>             36L, 13L, 15L, 16L, 32L, 18L, 37L, 25L, 18L, 20L, 
#>             21L, 11L, 13L, 31L, 29L, 23L, 22L, 40L, 18L, 39L, 
#>             12L, 19L, 6L, 31L, 10L, 14L, 25L, 29L, 33L, 40L, 
#>             23L, 35L, 25L, 17L, 30L, 0L, 20L, 33L, 26L, 37L, 
#>             34L, 6L, 30L, 22L, 24L, 29L, 14L, 40L, 23L, 22L, 
#>             20L, 6L, 31L, 28L, 14L, 17L, 25L, 37L, 32L, 22L, 
#>             35L, 31L, 19L, 31L, 29L, 26L, 43L, 24L, 19L, 7L, 
#>             23L, 25L, 22L, 34L, 26L, 28L, 38L, 28L, 26L, 16L, 
#>             20L, 40L, 15L, 13L, 34L, 33L, 8L, 27L, 29L, 32L, 
#>             21L, 0L, 28L, 32L, 50L, 25L, 14L, 20L, 20L, 33L, 
#>             10L, 29L, 20L, 0L, 34L), col.grad = c(0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 10L, 12L, 29L, 23L, 
#>             8L, 9L, 16L, 100L, 2L, 28L, 28L, 26L, 3L, 13L, 27L, 
#>             30L, 34L, 44L, 13L, 42L, 5L, 29L, 21L, 0L, 20L, 19L, 
#>             16L, 28L, 10L, 35L, 10L, 42L, 14L, 42L, 20L, 27L, 
#>             21L, 19L, 35L, 8L, 13L, 22L, 33L, 7L, 31L, 19L, 22L, 
#>             39L, 24L, 22L, 17L, 15L, 7L, 67L, 19L, 39L, 39L, 
#>             39L, 23L, 41L, 5L, 4L, 0L, 10L, 10L, 22L, 3L, 9L, 
#>             2L, 33L, 11L, 34L, 28L, 25L, 40L, 41L, 42L, 45L, 
#>             8L, 48L, 21L, 12L, 31L, 12L, 33L, 5L, 22L, 8L, 18L, 
#>             35L, 25L, 17L, 9L, 16L, 6L, 38L, 25L, 30L, 32L, 41L, 
#>             13L, 30L, 4L, 15L, 44L, 24L, 2L, 18L, 12L, 43L, 30L, 
#>             11L, 11L, 20L, 10L, 22L, 35L, 8L, 36L, 40L, 25L, 
#>             33L, 11L, 32L, 23L, 19L, 30L, 6L, 7L, 36L, 8L, 10L, 
#>             37L, 24L, 27L, 36L, 31L, 19L, 13L, 28L, 40L, 18L, 
#>             20L, 15L, 36L, 25L, 21L, 32L, 10L, 21L, 12L, 43L, 
#>             19L, 2L, 44L, 31L, 30L, 21L, 28L, 34L, 32L, 18L, 
#>             25L, 16L, 29L, 27L, 14L, 13L, 16L, 21L, 5L, 35L, 
#>             36L, 16L, 3L, 0L, 35L, 23L, 0L, 11L, 14L, 31L, 27L, 
#>             33L, 33L, 25L, 16L, 0L, 25L), grad.sch = c(0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 4L, 3L, 6L, 
#>             0L, 0L, 11L, 0L, 2L, 11L, 10L, 5L, 1L, 1L, 43L, 16L, 
#>             8L, 11L, 4L, 17L, 1L, 30L, 2L, 0L, 3L, 4L, 4L, 4L, 
#>             1L, 54L, 3L, 36L, 2L, 11L, 13L, 8L, 3L, 9L, 33L, 
#>             2L, 8L, 5L, 12L, 0L, 9L, 4L, 11L, 4L, 7L, 16L, 6L, 
#>             3L, 1L, 0L, 7L, 28L, 30L, 43L, 2L, 16L, 4L, 1L, 0L, 
#>             0L, 3L, 7L, 0L, 3L, 1L, 11L, 3L, 11L, 19L, 7L, 17L, 
#>             10L, 30L, 20L, 1L, 6L, 9L, 7L, 13L, 3L, 12L, 1L, 
#>             6L, 2L, 6L, 39L, 9L, 3L, 2L, 0L, 3L, 45L, 55L, 10L, 
#>             17L, 22L, 2L, 8L, 0L, 4L, 41L, 3L, 1L, 7L, 1L, 41L, 
#>             2L, 2L, 2L, 5L, 4L, 12L, 12L, 4L, 12L, 40L, 3L, 5L, 
#>             8L, 15L, 11L, 2L, 5L, 2L, 3L, 23L, 1L, 30L, 20L, 
#>             7L, 10L, 55L, 13L, 16L, 2L, 7L, 24L, 10L, 33L, 2L, 
#>             14L, 5L, 5L, 15L, 9L, 11L, 9L, 21L, 8L, 1L, 28L, 
#>             7L, 14L, 5L, 12L, 8L, 5L, 6L, 8L, 2L, 4L, 14L, 1L, 
#>             7L, 16L, 6L, 1L, 9L, 25L, 7L, 2L, 0L, 7L, 24L, 50L, 
#>             4L, 1L, 2L, 23L, 10L, 0L, 9L, 4L, 0L, 5L), avg.ed = c(3.3199999332428, 
#>             1.66999995708466, 2.33999991416931, 1.86000001430511, 
#>             3.17000007629395, 3.64000010490417, 3.54999995231628, 
#>             3.09999990463257, 2.17000007629395, 2.8199999332428, 
#>             2.21000003814697, 2.22000002861023, 2.00999999046326, 
#>             2.78999996185303, 2.73000001907349, 1.82000005245209, 
#>             2.26999998092651, 2.75, 4, 1.61000001430511, 3.10999989509583, 
#>             3.05999994277954, 3.13000011444092, 1.67999994754791, 
#>             2.19000005722046, 4.03000020980835, 3.30999994277954, 
#>             3.20000004768372, 3.41000008583069, 2.48000001907349, 
#>             3.63000011444092, 2.11999988555908, 3.71000003814697, 
#>             2.54999995231628, 2, 2.50999999046326, 2.83999991416931, 
#>             2.60999989509583, 2.97000002861023, 2.39000010490417, 
#>             4.36999988555908, 2.19000005722046, 4.09000015258789, 
#>             2.10999989509583, 3.36999988555908, 3.19000005722046, 
#>             2.90000009536743, 2.45000004768372, 2.8199999332428, 
#>             3.96000003814697, 1.78999996185303, 2.47000002861023, 
#>             2.85999989509583, 3.41000008583069, 1.97000002861023, 
#>             3, 2.34999990463257, 2.82999992370605, 3.14000010490417, 
#>             3.08999991416931, 3.07999992370605, 2.70000004768372, 
#>             2.20000004768372, 1.76999998092651, 3.32999992370605, 
#>             2.82999992370605, 3.84999990463257, 3.88000011444092, 
#>             4.21999979019165, 2.34999990463257, 3.5699999332428, 
#>             1.75999999046326, 1.67999994754791, 2, 2.3199999332428, 
#>             2.29999995231628, 2.8199999332428, 1.73000001907349, 
#>             2.35999989509583, 1.57000005245209, 3.21000003814697, 
#>             2.30999994277954, 3.1800000667572, 3.4300000667572, 
#>             2.97000002861023, 3.55999994277954, 3.4300000667572, 
#>             3.95000004768372, 3.67000007629395, 1.8400000333786, 
#>             3.49000000953674, 2.9300000667572, 2.5699999332428, 
#>             3.30999994277954, 2.53999996185303, 3.38000011444092, 
#>             1.88999998569489, 2.41000008583069, 1.96000003814697, 
#>             2.82999992370605, 3.99000000953674, 3.03999996185303, 
#>             2.42000007629395, 2.04999995231628, 2.24000000953674, 
#>             2.24000000953674, 4.19999980926514, 4.26000022888184, 
#>             3.09999990463257, 3.34999990463257, 3.64000010490417, 
#>             2.19000005722046, 3.22000002861023, 1.83000004291534, 
#>             2.67000007629395, 4.21000003814697, 2.52999997138977, 
#>             1.37999999523163, 2.66000008583069, 1.87000000476837, 
#>             4.23000001907349, 2.76999998092651, 2.36999988555908, 
#>             2.35999989509583, 2.86999988555908, 2.26999998092651, 
#>             3.0699999332428, 3.20000004768372, 1.96000003814697, 
#>             3.29999995231628, 3.79999995231628, 2.51999998092651, 
#>             3.07999992370605, 2.51999998092651, 3.46000003814697, 
#>             3, 2.27999997138977, 2.85999989509583, 2.0699999332428, 
#>             2.11999988555908, 3.66000008583069, 1.82000005245209, 
#>             3.5, 3.52999997138977, 2.64000010490417, 2.89000010490417, 
#>             4.44000005722046, 3.19000005722046, 2.88000011444092, 
#>             1.99000000953674, 2.84999990463257, 3.78999996185303, 
#>             2.9300000667572, 3.61999988555908, 2.44000005722046, 
#>             3.44000005722046, 2.79999995231628, 2.44000005722046, 
#>             3.33999991416931, 2.50999999046326, 2.78999996185303, 
#>             2.82999992370605, 3.6800000667572, 2.61999988555908, 
#>             1.41999995708466, 3.9300000667572, 2.95000004768372, 
#>             3.02999997138977, 2.75, 3.04999995231628, 3.13000011444092, 
#>             3.16000008583069, 2.52999997138977, 2.79999995231628, 
#>             2.19000005722046, 2.6800000667572, 3.33999991416931, 
#>             1.97000002861023, 2.09999990463257, 2.99000000953674, 
#>             2.74000000953674, 1.62000000476837, 3.16000008583069, 
#>             3.71000003814697, 2.63000011444092, 1.98000001907349, 
#>             1.5, 3.09999990463257, 3.40000009536743, 4, 2.38000011444092, 
#>             1.96000003814697, 2.67000007629395, 3.33999991416931, 
#>             3.23000001907349, 2.67000007629395, 2.85999989509583, 
#>             2.40000009536743, 1.61000001430511, 2.91000008583069
#>             ), full = c(100L, 57L, 81L, 64L, 90L, 95L, 96L, 93L, 
#>             91L, 96L, 84L, 65L, 93L, 55L, 80L, 67L, 97L, 89L, 
#>             100L, 90L, 97L, 89L, 78L, 81L, 81L, 95L, 77L, 95L, 
#>             88L, 100L, 97L, 31L, 91L, 98L, 66L, 94L, 94L, 84L, 
#>             47L, 96L, 97L, 82L, 100L, 85L, 100L, 97L, 84L, 88L, 
#>             93L, 93L, 100L, 95L, 100L, 83L, 78L, 98L, 77L, 100L, 
#>             95L, 100L, 97L, 87L, 24L, 91L, 68L, 95L, 100L, 97L, 
#>             93L, 64L, 92L, 81L, 80L, 72L, 100L, 84L, 94L, 80L, 
#>             89L, 56L, 100L, 95L, 96L, 97L, 100L, 99L, 100L, 100L, 
#>             99L, 100L, 73L, 92L, 91L, 86L, 90L, 98L, 67L, 81L, 
#>             89L, 93L, 100L, 76L, 79L, 56L, 78L, 96L, 93L, 100L, 
#>             100L, 100L, 96L, 90L, 100L, 94L, 97L, 93L, 61L, 75L, 
#>             80L, 73L, 100L, 100L, 100L, 100L, 100L, 82L, 88L, 
#>             74L, 82L, 84L, 92L, 62L, 91L, 85L, 100L, 91L, 78L, 
#>             94L, 81L, 70L, 86L, 84L, 100L, 88L, 84L, 100L, 93L, 
#>             95L, 94L, 55L, 88L, 96L, 73L, 92L, 84L, 95L, 85L, 
#>             81L, 99L, 67L, 94L, 92L, 95L, 87L, 78L, 98L, 92L, 
#>             83L, 66L, 81L, 80L, 92L, 96L, 96L, 66L, 84L, 92L, 
#>             70L, 100L, 97L, 71L, 83L, 97L, 100L, 82L, 91L, 96L, 
#>             68L, 88L, 88L, 83L, 68L, 65L, 67L, 100L, 42L, 95L, 
#>             78L, 95L, 97L), emer = c(0L, 40L, 26L, 24L, 7L, 0L, 
#>             0L, 8L, 14L, 0L, 18L, 37L, 17L, 26L, 19L, 33L, 3L, 
#>             13L, 7L, 14L, 0L, 11L, 22L, 19L, 15L, 0L, 17L, 6L, 
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#>     "39685023932308", "38684786062038", "39685026070957", "30736436030696", 
#>     "06616146103576", "54719106054050", "45699716050223", "19647336016117", 
#>     "36678506036651", "56726035635008", "38684786059836", "37683386059653", 
#>     "30665226028484", "36677776109615", "43696906049159", "19734456014179", 
#>     "19734376012231", "30665226028559", "19648811936103", "15737426009633", 
#>     "34674476034672", "07617546004105", "07617546003966", "19647336061535", 
#>     "19651366111926", "43694506047245", "30666706111298", "10622656006829", 
#>     "27660926026249", "24753176025431", "01611926066476", "30666706030241", 
#>     "54722316054472", "15635606009708", "12626871235209", "16638916010367", 
#>     "15633626096986", "39685856111983", "49708966052021", "37683383730371", 
#>     "44698076109946", "21654176058614", "30736353030061", "10621666111256", 
#>     "19647336015820", "34674136033658", "33672156032726", "07617546004220", 
#>     "19650946023493", "03739810330753", "36676866035653", "19647331932888", 
#>     "15638426010268", "39685936108237", "07618126005185", "19648406021125", 
#>     "36676863631322", "36678196036420", "36677106111173", "54755316107650", 
#>     "21654822133692", "01612596002216", "34674396059356", "49708476051924", 
#>     "30664643036001", "27754736026090", "55724135536750", "10621666088546", 
#>     "37682056038640", "07618040736504", "19648086020671", "10752346005805", 
#>     "36678766068720", "15739086106306", "31668296111702", "14632891434901", 
#>     "45699146050140", "57726946056329", "52715226111629", "27738256026413", 
#>     "43693936046601", "19647336017529", "10739996007371", "33670333330701", 
#>     "42692866060032", "19734376057590", "34673633433265", "19647256015168", 
#>     "15636936108575", "39685696041925", "19647336016877", "34674135731708", 
#>     "33669776031553", "24753176025423", "19647256015663", "36678196036289", 
#>     "37680986066997", "34674473435930", "43696664338950", "30666136029557", 
#>     "19646591934611", "37684523730728", "49753586052369", "19734371932326", 
#>     "57727106071278", "19645686013643", "19648576106793", "56726526060388", 
#>     "19647336016109", "47704256050892", "30665226028534", "43696666095426", 
#>     "50711755030010", "19645686013676", "28662666058796", "56725876055610", 
#>     "30736353030392", "38684783834769", "10752346007223", "09618530930081", 
#>     "41690704137279", "19647331933852", "19642461930213", "43733876047666", 
#>     "07617966057236", "14632486008692", "37684526059810", "34674393437555", 
#>     "19647336068431", "38684783830254", "22655322235356", "19734371931963", 
#>     "23655406025084", "23656152335024", "33671736112692", "19647331933381", 
#>     "30736356101059", "37682966038988", "01612596001994", "30665636028948", 
#>     "56726036055776", "43696906049217", "39685696105738", "56726035630322", 
#>     "33751766032056", "15634121531672", "07617880735407", "19650526022933", 
#>     "01612426001572", "19647336018568", "33670333331600", "04755076003164", 
#>     "56724626055016", "31669513134657"), stype = c(1L, 1L, 1L, 
#>     1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 
#>     3L, 1L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 
#>     1L, 2L, 1L, 3L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 
#>     3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 
#>     3L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 
#>     1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 
#>     3L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 
#>     3L, 1L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
#>     1L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 2L, 
#>     1L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 1L, 1L, 
#>     3L, 1L, 3L, 3L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>     2L, 3L, 3L, 1L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 2L, 3L, 2L, 1L, 
#>     3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 
#>     1L, 2L), name = c("Open Magnet: Ce", "Belvedere Eleme", "Altadena Elemen", 
#>     "Soto Street Ele", "Walnut Canyon E", "Atherwood Eleme", 
#>     "Township Elemen", "Thorner (Dr. Ju", "Nicoloff (Georg", 
#>     "Valle Lindo Ele", "Frisbie Middle", "Rivera (Tomas) ", "Roosevelt High", 
#>     "Frick Middle", "Rancho Verde Hi", "Corona Avenue E", "Rosita Elementa", 
#>     "Cree (Raymond) ", "Rancho San Joaq", "Orange Center E", 
#>     "Pine Street Ele", "Buchser Middle", "Frost (Earl) El", "Farmersville Hi", 
#>     "Fontana Miller ", "Crocker Highlan", "South Hills Hig", 
#>     "Rancho Cotate H", "Kentwood Elemen", "La Presa Middle", 
#>     "San Lorenzo Val", "Tibby Elementar", "Lowell Elementa", 
#>     "Centennial Elem", "Marshall Fundam", "Miramonte Eleme", 
#>     "Sierra Ridge Mi", "Carquinez Middl", "Frazier Mountai", 
#>     "Sierra Vista El", "Hillview Middle", "Gladstone High", "Highland Ranch ", 
#>     "Overfelt (Willi", "Ophir Elementar", "Valley View Ele", 
#>     "Escalon High", "Everett Middle", "El Portal Middl", "Tustin Memorial", 
#>     "Johnson (Lloyd ", "Rocky Hill Elem", "Lassen View Ele", 
#>     "Broadacres Aven", "Kelley Elementa", "Royal High", "Benjamin Frankl", 
#>     "Marston Middle", "Monroe (James) ", "Condor Elementa", "Vargas Elementa", 
#>     "Fairgrove Acade", "Bursch Elementa", "Doig (Leroy L.)", 
#>     "Muir High", "Faller Elementa", "Legette (Earl) ", "Highlands Eleme", 
#>     "Bancroft Elemen", "Mt. Vernon Midd", "La Mesa Jr. Hig", 
#>     "McKinley Elemen", "Walker Elementa", "Navelencia Midd", 
#>     "Olson (Ione) El", "Dos Palos Eleme", "King (Martin Lu", 
#>     "Edison Elementa", "Kohn (Frank) El", "Myrtle Avenue E", 
#>     "McKinleyville H", "Mark Twain Elem", "Stockdale Eleme", 
#>     "Muir (John) Ele", "Madrone Element", "San Diego Schoo", 
#>     "Redwood Element", "Sinaloa Middle", "El Toro High", "Leavenworth (An", 
#>     "Annalee Avenue ", "Clarksburg Elem", "Monroe Elementa", 
#>     "Pine Hollow Mid", "Merlinda Elemen", "Amador County H", 
#>     "Lewis (Mary B.)", "Downtown Busine", "Jefferson (Thom", 
#>     "Elliott (Brock)", "Murwood Element", "Benton (Reginal", 
#>     "Bloomington Hig", "Vernon Middle", "Hemlock Element", "Roosevelt Eleme", 
#>     "Tamalpais High", "Thornhill Eleme", "Brannan (Sam) M", "Old Adobe Eleme", 
#>     "San Clemente Hi", "Fairview Middle", "Summerville Hig", 
#>     "King Elementary", "Palm Middle", "San Ramon Valle", "Wilcox Elementa", 
#>     "Cantua Elementa", "Shandin Hills M", "McFarland Middl", 
#>     "Ridgeview Eleme", "Lone Pine High", "Meadow Lane Ele", "Norman (Alyce) ", 
#>     "Evergreen Middl", "Elkhorn Element", "Lynhaven Elemen", 
#>     "Haynes Elementa", "Sun Empire Elem", "Santiago High", "Goleta Valley J", 
#>     "Willowbrook Mid", "Foothill High", "Bryant Elementa", "Olive Drive Ele", 
#>     "Sierra Middle", "El Sereno Eleme", "Delta High", "Myra Linn Eleme", 
#>     "Bryant Middle", "Twain Elementar", "Wiltsey (Ray) M", "Miller Elementa", 
#>     "Mira Loma High", "Willow Glen Hig", "College View El", "La Canada High", 
#>     "Rancho Buena Vi", "Cali Calmecac (", "Dominguez High", "Douglass Junior", 
#>     "Dunsmore Elemen", "Joshua Hills El", "Cabrillo Middle", 
#>     "Broad Avenue El", "Sisson Elementa", "Ralston (Dr. Wa", 
#>     "Steinbeck Middl", "Beyer (Fred C.)", "Franklin (Benja", 
#>     "Silverado Middl", "Bedell (Thelma ", "Trabuco Hills H", 
#>     "O'Connell (John", "San Joaquin Ele", "Oak Ridge High", "South San Franc", 
#>     "Hamilton (Alexa", "Antelope Valley", "Rancho Milpitas", 
#>     "Pinole Junior H", "Big Pine Elemen", "Washington Midd", 
#>     "Sacramento High", "El Sereno Middl", "Burton (Phillip", 
#>     "Mariposa County", "Compton High", "Anderson Valley", "Ukiah High", 
#>     "Workman (James)", "Garfield (James", "Del Lago Elemen", 
#>     "Meadowbrook Mid", "Laurel Elementa", "El Cerrito Elem", 
#>     "Santa Susana El", "Fairwood Elemen", "Pacific (K-8)", "Santa Susana Hi", 
#>     "Machado Element", "Delano High", "Pittsburg Senio", "Emperor Element", 
#>     "Alvarado Elemen", "One Hundred Twe", "Corona Senior H", 
#>     "Sycamore Middle", "Larsen (Ansgar)", "Lincoln High (C"), 
#>         sname = c("Open Magnet: Center for Individual (Char", 
#>         "Belvedere Elementary", "Altadena Elementary", "Soto Street Elementary", 
#>         "Walnut Canyon Elementary", "Atherwood Elementary", "Township Elementary", 
#>         "Thorner (Dr. Juliet) Elementary", "Nicoloff (George) Elementary", 
#>         "Valle Lindo Elementary", "Frisbie Middle", "Rivera (Tomas) Middle", 
#>         "Roosevelt High", "Frick Middle", "Rancho Verde High", 
#>         "Corona Avenue Elementary", "Rosita Elementary", "Cree (Raymond) Middle", 
#>         "Rancho San Joaquin Middle", "Orange Center Elementary", 
#>         "Pine Street Elementary", "Buchser Middle", "Frost (Earl) Elementary", 
#>         "Farmersville High", "Fontana Miller (A.B.) High", "Crocker Highlands Elementary", 
#>         "South Hills High", "Rancho Cotate High", "Kentwood Elementary", 
#>         "La Presa Middle", "San Lorenzo Valley Junior High", 
#>         "Tibby Elementary", "Lowell Elementary", "Centennial Elementary", 
#>         "Marshall Fundamental", "Miramonte Elementary", "Sierra Ridge Middle", 
#>         "Carquinez Middle", "Frazier Mountain High", "Sierra Vista Elementary", 
#>         "Hillview Middle", "Gladstone High", "Highland Ranch Elementary", 
#>         "Overfelt (William C.) High", "Ophir Elementary", "Valley View Elementary", 
#>         "Escalon High", "Everett Middle", "El Portal Middle", 
#>         "Tustin Memorial Elementary", "Johnson (Lloyd G.) Jr. High", 
#>         "Rocky Hill Elementary", "Lassen View Elementary", "Broadacres Avenue Elementary", 
#>         "Kelley Elementary", "Royal High", "Benjamin Franklin Middle", 
#>         "Marston Middle", "Monroe (James) Elementary", "Condor Elementary", 
#>         "Vargas Elementary", "Fairgrove Academy (K-8)", "Bursch Elementary", 
#>         "Doig (Leroy L.) Intermediate", "Muir High", "Faller Elementary", 
#>         "Legette (Earl) Elementary", "Highlands Elementary", 
#>         "Bancroft Elementary", "Mt. Vernon Middle", "La Mesa Jr. High", 
#>         "McKinley Elementary", "Walker Elementary", "Navelencia Middle", 
#>         "Olson (Ione) Elementary", "Dos Palos Elementary", "King (Martin Luther Jr) Middle", 
#>         "Edison Elementary", "Kohn (Frank) Elementary", "Myrtle Avenue Elementary", 
#>         "McKinleyville High", "Mark Twain Elementary", "Stockdale Elementary", 
#>         "Muir (John) Elementary", "Madrone Elementary", "San Diego School of Creative & Performin", 
#>         "Redwood Elementary", "Sinaloa Middle", "El Toro High", 
#>         "Leavenworth (Ann B.) Elementary", "Annalee Avenue Elementary", 
#>         "Clarksburg Elementary", "Monroe Elementary", "Pine Hollow Middle", 
#>         "Merlinda Elementary", "Amador County High", "Lewis (Mary B.) Elementary", 
#>         "Downtown Business High", "Jefferson (Thomas) Middle", 
#>         "Elliott (Brock) Elementary", "Murwood Elementary", "Benton (Reginald M.) Middle", 
#>         "Bloomington High", "Vernon Middle", "Hemlock Elementary", 
#>         "Roosevelt Elementary", "Tamalpais High", "Thornhill Elementary", 
#>         "Brannan (Sam) Middle", "Old Adobe Elementary", "San Clemente High", 
#>         "Fairview Middle", "Summerville High", "King Elementary", 
#>         "Palm Middle", "San Ramon Valley High", "Wilcox Elementary", 
#>         "Cantua Elementary", "Shandin Hills Middle", "McFarland Middle", 
#>         "Ridgeview Elementary", "Lone Pine High", "Meadow Lane Elementary", 
#>         "Norman (Alyce) Elementary", "Evergreen Middle", "Elkhorn Elementary", 
#>         "Lynhaven Elementary", "Haynes Elementary", "Sun Empire Elementary", 
#>         "Santiago High", "Goleta Valley Junior High", "Willowbrook Middle", 
#>         "Foothill High", "Bryant Elementary", "Olive Drive Elementary", 
#>         "Sierra Middle", "El Sereno Elementary", "Delta High", 
#>         "Myra Linn Elementary", "Bryant Middle", "Twain Elementary", 
#>         "Wiltsey (Ray) Middle", "Miller Elementary", "Mira Loma High", 
#>         "Willow Glen High", "College View Elementary", "La Canada High", 
#>         "Rancho Buena Vista High", "Cali Calmecac (Charter #162)", 
#>         "Dominguez High", "Douglass Junior High", "Dunsmore Elementary", 
#>         "Joshua Hills Elementary", "Cabrillo Middle", "Broad Avenue Elementary", 
#>         "Sisson Elementary", "Ralston (Dr. Walter C.) Intermediate", 
#>         "Steinbeck Middle", "Beyer (Fred C.) High", "Franklin (Benjamin) Elementary", 
#>         "Silverado Middle", "Bedell (Thelma B.) Elementary", 
#>         "Trabuco Hills High", "O'Connell (John A.) High", "San Joaquin Elementary", 
#>         "Oak Ridge High", "South San Francisco High", "Hamilton (Alexander) Senior Hi", 
#>         "Antelope Valley High", "Rancho Milpitas Junior High", 
#>         "Pinole Junior High", "Big Pine Elementary", "Washington Middle", 
#>         "Sacramento High", "El Sereno Middle", "Burton (Phillip & Sala) Academic High", 
#>         "Mariposa County High", "Compton High", "Anderson Valley Elementary", 
#>         "Ukiah High", "Workman (James) Middle", "Garfield (James A.) Senior High", 
#>         "Del Lago Elementary", "Meadowbrook Middle", "Laurel Elementary", 
#>         "El Cerrito Elementary", "Santa Susana Elementary", "Fairwood Elementary", 
#>         "Pacific (K-8)", "Santa Susana High", "Machado Elementary", 
#>         "Delano High", "Pittsburg Senior High", "Emperor Elementary", 
#>         "Alvarado Elementary", "One Hundred Twelfth Street Elementary", 
#>         "Corona Senior High", "Sycamore Middle", "Larsen (Ansgar) Elementary", 
#>         "Lincoln High (Char)"), snum = c(2077, 1622, 2236, 1921, 
#>         6140, 6077, 6071, 904, 4637, 4311, 4105, 3607, 627, 215, 
#>         3599, 1678, 3015, 3491, 3237, 725, 861, 5410, 5319, 5947, 
#>         3999, 169, 1247, 5706, 1777, 4398, 5481, 2435, 1502, 
#>         636, 2231, 598, 573, 375, 1043, 5612, 5002, 1149, 4446, 
#>         5237, 3292, 2387, 4785, 4768, 4787, 3225, 354, 5874, 
#>         5511, 1632, 4100, 6055, 4759, 4565, 2995, 4043, 5417, 
#>         2457, 2428, 3001, 2233, 1037, 3839, 411, 402, 2061, 2417, 
#>         5245, 3154, 716, 2755, 2712, 114, 3122, 5903, 980, 783, 
#>         1055, 917, 4830, 5658, 4464, 5482, 2601, 3179, 700, 1606, 
#>         3720, 3525, 418, 2378, 280, 3975, 1555, 1027, 4844, 532, 
#>         2180, 3968, 4074, 4026, 5967, 2617, 208, 3786, 5641, 
#>         2878, 2807, 5976, 688, 4406, 508, 2129, 759, 4172, 1042, 
#>         3283, 864, 5505, 6155, 5843, 2799, 5196, 1760, 753, 3364, 
#>         5162, 2445, 3678, 1475, 999, 4796, 1702, 3718, 3351, 
#>         2711, 1520, 4067, 4352, 3807, 5356, 3074, 1414, 4639, 
#>         5719, 2427, 6173, 1358, 2192, 6098, 1631, 5550, 2999, 
#>         5391, 5762, 1360, 2831, 6052, 3181, 4694, 760, 551, 5076, 
#>         1565, 1132, 5446, 498, 859, 4649, 3732, 2072, 4686, 2625, 
#>         2426, 2631, 2641, 3497, 1563, 3203, 4426, 189, 3030, 
#>         6068, 5421, 4801, 6054, 3563, 938, 448, 2338, 146, 1858, 
#>         3365, 336, 5986, 3324), dname = c("Los Angeles Unified", 
#>         "Los Angeles Unified", "Pasadena Unified", "Los Angeles Unified", 
#>         "Moorpark Unified", "Simi Valley Unified", "Simi Valley Unified", 
#>         "Bakersfield City Elem", "South Bay Union Elem", "Chula Vista Elementary", 
#>         "Rialto Unified", "Val Verde Unified", "Fresno Unified", 
#>         "Oakland Unified", "Val Verde Unified", "Los Angeles Unified", 
#>         "Garden Grove Unified", "Palm Springs Unified", "Irvine Unified", 
#>         "Orange Center Elementary", "Bishop Union Elementary", 
#>         "Santa Clara Unified", "Oak Grove Elementary", "Farmersville Unified", 
#>         "Fontana Unified", "Oakland Unified", "Covina-Valley Unified", 
#>         "Cotati-Rohnert Park Unif", "Los Angeles Unified", "La Mesa-Spring Valley", 
#>         "San Lorenzo Valley Unif", "Compton Unified", "Long Beach Unified", 
#>         "Fresno Unified", "Pasadena Unified", "Clovis Unified", 
#>         "Pollock Pines Elementary", "John Swett Unified", "El Tejon Unified", 
#>         "Vacaville Unified", "Menlo Park City Elem", "Azusa Unified", 
#>         "Poway Unified", "East Side Union High", "Ophir Elementary", 
#>         "Westside Union Elem", "Escalon Unified", "San Francisco Unified", 
#>         "Escalon Unified", "Tustin Unified", "Pierce Joint Unified", 
#>         "Exeter Union Elementary", "Enterprise Elementary", "Los Angeles Unified", 
#>         "Rialto Unified", "Simi Valley Unified", "San Francisco Unified", 
#>         "San Diego City Unified", "Garden Grove Unified", "Morongo Unified", 
#>         "Sunnyvale Elementary", "Hacienda la Puente Unif", "Compton Unified", 
#>         "Garden Grove Unified", "Pasadena Unified", "Sierra Sands Unified", 
#>         "San Juan Unified", "Mt. Diablo Unified", "Mt. Diablo Unified", 
#>         "Los Angeles Unified", "William S. Hart High", "Franklin-McKinley Elem", 
#>         "Santa Ana Unified", "Kings Canyon Unified", "Monterey Peninsula Unif.", 
#>         "Dos Palos Oro Loma Unif", "Hayward Unified", "Santa Ana Unified", 
#>         "Tulare City Elementary", "Lamont Elementary", "Northern Humboldt High", 
#>         "Corcoran Joint Unified", "Panama Buena Vista Elem", 
#>         "Lodi Unified", "Rincon Valley Union Elem", "San Diego City Unified", 
#>         "San Lorenzo Valley Unif", "Novato Unified", "Saddleback Valley Unif", 
#>         "Fresno Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>         "Riverside Unified", "Mt. Diablo Unified", "West Covina Unified", 
#>         "Amador County Unified", "Colton Joint Unified", "Los Angeles Unified", 
#>         "Wasco Union Elementary", "Manteca Unified", "Walnut Creek Elementary", 
#>         "Norwalk-La Mirada Unif", "Colton Joint Unified", "Ontario-Montclair Elem", 
#>         "Fontana Unified", "Dinuba Unified", "Tamalpais Union High", 
#>         "Oakland Unified", "Sacramento City Unified", "Old Adobe Union Elem", 
#>         "Capistrano Unified", "Gonzales Unified", "Summerville Union High", 
#>         "Fresno Unified", "Lemon Grove Elementary", "San Ramon Valley Unified", 
#>         "Montebello Unified", "Golden Plains Unified", "San Bernardino City Unif", 
#>         "McFarland Unified", "Eureka Union Elementary", "Lone Pine Unified", 
#>         "Cascade Union Elementary", "Washington Unified", "Evergreen Union Elem", 
#>         "North Monterey Co Unif", "Campbell Union Elem", "Los Angeles Unified", 
#>         "Kerman Unified", "Corona-Norco Unified", "Santa Barbara High", 
#>         "Compton Unified", "Grant Joint Union High", "Long Beach Unified", 
#>         "Norris Elementary", "Lincoln Unified", "Los Angeles Unified", 
#>         "River Delta Joint Unif", "Alvord Unified", "Dos Palos Oro Loma Unif", 
#>         "Long Beach Unified", "Ontario-Montclair Elem", "Escondido Union Elem", 
#>         "San Juan Unified", "San Jose Unified", "Ocean View Elementary", 
#>         "La Canada Unified", "Vista Unified", "Windsor Unified", 
#>         "Compton Unified", "Woodland Joint Unified", "Glendale Unified", 
#>         "Palmdale Elementary", "Ventura Unified", "Los Angeles Unified", 
#>         "Mt. Shasta Union Elem", "Garden Grove Unified", "San Jose Unified", 
#>         "Modesto City High", "Glendale Unified", "Napa Valley Unified", 
#>         "Santa Paula Elementary", "Saddleback Valley Unif", "San Francisco Unified", 
#>         "Golden Plains Unified", "El Dorado Union High", "South San Francisco Unif", 
#>         "Los Angeles Unified", "Antelope Valley High", "Milpitas Unified", 
#>         "West Contra Costa Unified", "Big Pine Unified", "Vista Unified", 
#>         "Sacramento City Unified", "Los Angeles Unified", "San Francisco Unified", 
#>         "Mariposa County Unified", "Compton Unified", "Anderson Valley Unified", 
#>         "Ukiah Unified", "Palm Springs Unified", "Los Angeles Unified", 
#>         "Saddleback Valley Unif", "Poway Unified", "Oakland Unified", 
#>         "La Habra City Elementary", "Simi Valley Unified", "Sunnyvale Elementary", 
#>         "Lincoln Unified", "Simi Valley Unified", "Lake Elsinore Unified", 
#>         "Delano Joint Union High", "Pittsburg Unified", "Temple City Unified", 
#>         "New Haven Unified", "Los Angeles Unified", "Corona-Norco Unified", 
#>         "Gridley Unified", "Hueneme Elementary", "Western Placer Unified"
#>         ), dnum = c(401L, 401L, 541L, 401L, 460L, 689L, 689L, 
#>         41L, 702L, 135L, 590L, 767L, 253L, 507L, 767L, 401L, 
#>         259L, 531L, 316L, 515L, 69L, 656L, 501L, 233L, 238L, 
#>         507L, 162L, 160L, 401L, 351L, 639L, 153L, 395L, 253L, 
#>         541L, 140L, 569L, 324L, 208L, 766L, 439L, 40L, 575L, 
#>         196L, 514L, 806L, 215L, 632L, 215L, 756L, 550L, 226L, 
#>         214L, 401L, 590L, 689L, 632L, 630L, 259L, 465L, 725L, 
#>         284L, 153L, 259L, 541L, 685L, 636L, 473L, 473L, 401L, 
#>         813L, 247L, 653L, 339L, 459L, 185L, 294L, 653L, 751L, 
#>         364L, 497L, 155L, 537L, 390L, 596L, 630L, 639L, 499L, 
#>         621L, 253L, 401L, 602L, 605L, 473L, 797L, 20L, 148L, 
#>         401L, 784L, 419L, 781L, 498L, 148L, 513L, 238L, 182L, 
#>         735L, 507L, 620L, 512L, 108L, 273L, 722L, 253L, 376L, 
#>         650L, 457L, 270L, 627L, 432L, 223L, 394L, 114L, 787L, 
#>         225L, 495L, 105L, 401L, 333L, 158L, 655L, 153L, 275L, 
#>         395L, 492L, 382L, 401L, 602L, 19L, 185L, 395L, 513L, 
#>         216L, 636L, 635L, 509L, 348L, 780L, 819L, 153L, 825L, 
#>         266L, 532L, 774L, 401L, 475L, 259L, 635L, 450L, 266L, 
#>         478L, 662L, 621L, 632L, 270L, 202L, 706L, 401L, 27L, 
#>         448L, 796L, 64L, 780L, 620L, 401L, 632L, 423L, 153L, 
#>         25L, 760L, 531L, 401L, 621L, 575L, 507L, 349L, 689L, 
#>         725L, 382L, 689L, 358L, 176L, 554L, 738L, 484L, 401L, 
#>         158L, 279L, 308L, 802L), cname = c("Los Angeles", "Los Angeles", 
#>         "Los Angeles", "Los Angeles", "Ventura", "Ventura", "Ventura", 
#>         "Kern", "San Diego", "San Diego", "San Bernardino", "Riverside", 
#>         "Fresno", "Alameda", "Riverside", "Los Angeles", "Orange", 
#>         "Riverside", "Orange", "Fresno", "Inyo", "Santa Clara", 
#>         "Santa Clara", "Tulare", "San Bernardino", "Alameda", 
#>         "Los Angeles", "Sonoma", "Los Angeles", "San Diego", 
#>         "Santa Cruz", "Los Angeles", "Los Angeles", "Fresno", 
#>         "Los Angeles", "Fresno", "El Dorado", "Contra Costa", 
#>         "Kern", "Solano", "San Mateo", "Los Angeles", "San Diego", 
#>         "Santa Clara", "Placer", "Los Angeles", "San Joaquin", 
#>         "San Francisco", "San Joaquin", "Orange", "Colusa", "Tulare", 
#>         "Shasta", "Los Angeles", "San Bernardino", "Ventura", 
#>         "San Francisco", "San Diego", "Orange", "San Bernardino", 
#>         "Santa Clara", "Los Angeles", "Los Angeles", "Orange", 
#>         "Los Angeles", "Kern", "Sacramento", "Contra Costa", 
#>         "Contra Costa", "Los Angeles", "Los Angeles", "Santa Clara", 
#>         "Orange", "Fresno", "Monterey", "Merced", "Alameda", 
#>         "Orange", "Tulare", "Kern", "Humboldt", "Kings", "Kern", 
#>         "San Joaquin", "Sonoma", "San Diego", "Santa Cruz", "Marin", 
#>         "Orange", "Fresno", "Los Angeles", "Sacramento", "Riverside", 
#>         "Contra Costa", "Los Angeles", "Amador", "San Bernardino", 
#>         "Los Angeles", "Kern", "San Joaquin", "Contra Costa", 
#>         "Los Angeles", "San Bernardino", "San Bernardino", "San Bernardino", 
#>         "Tulare", "Marin", "Alameda", "Sacramento", "Sonoma", 
#>         "Orange", "Monterey", "Tuolumne", "Fresno", "San Diego", 
#>         "Contra Costa", "Los Angeles", "Fresno", "San Bernardino", 
#>         "Kern", "Placer", "Inyo", "Shasta", "Yolo", "Tehama", 
#>         "Monterey", "Santa Clara", "Los Angeles", "Fresno", "Riverside", 
#>         "Santa Barbara", "Los Angeles", "Sacramento", "Los Angeles", 
#>         "Kern", "San Joaquin", "Los Angeles", "Sacramento", "Riverside", 
#>         "Merced", "Los Angeles", "San Bernardino", "San Diego", 
#>         "Sacramento", "Santa Clara", "Orange", "Los Angeles", 
#>         "San Diego", "Sonoma", "Los Angeles", "Yolo", "Los Angeles", 
#>         "Los Angeles", "Ventura", "Los Angeles", "Siskiyou", 
#>         "Orange", "Santa Clara", "Stanislaus", "Los Angeles", 
#>         "Napa", "Ventura", "Orange", "San Francisco", "Fresno", 
#>         "El Dorado", "San Mateo", "Los Angeles", "Los Angeles", 
#>         "Santa Clara", "Contra Costa", "Inyo", "San Diego", "Sacramento", 
#>         "Los Angeles", "San Francisco", "Mariposa", "Los Angeles", 
#>         "Mendocino", "Mendocino", "Riverside", "Los Angeles", 
#>         "Orange", "San Diego", "Alameda", "Orange", "Ventura", 
#>         "Santa Clara", "San Joaquin", "Ventura", "Riverside", 
#>         "Kern", "Contra Costa", "Los Angeles", "Alameda", "Los Angeles", 
#>         "Riverside", "Butte", "Ventura", "Placer"), cnum = c(18L, 
#>         18L, 18L, 18L, 55L, 55L, 55L, 14L, 36L, 36L, 35L, 32L, 
#>         9L, 1L, 32L, 18L, 29L, 32L, 29L, 9L, 13L, 42L, 42L, 53L, 
#>         35L, 1L, 18L, 48L, 18L, 36L, 43L, 18L, 18L, 9L, 18L, 
#>         9L, 8L, 6L, 14L, 47L, 40L, 18L, 36L, 42L, 30L, 18L, 38L, 
#>         37L, 38L, 29L, 5L, 53L, 44L, 18L, 35L, 55L, 37L, 36L, 
#>         29L, 35L, 42L, 18L, 18L, 29L, 18L, 14L, 33L, 6L, 6L, 
#>         18L, 18L, 42L, 29L, 9L, 26L, 23L, 1L, 29L, 53L, 14L, 
#>         11L, 15L, 14L, 38L, 48L, 36L, 43L, 20L, 29L, 9L, 18L, 
#>         33L, 32L, 6L, 18L, 2L, 35L, 18L, 14L, 38L, 6L, 18L, 35L, 
#>         35L, 35L, 53L, 20L, 1L, 33L, 48L, 29L, 26L, 54L, 9L, 
#>         36L, 6L, 18L, 9L, 35L, 14L, 30L, 13L, 44L, 56L, 51L, 
#>         26L, 42L, 18L, 9L, 32L, 41L, 18L, 33L, 18L, 14L, 38L, 
#>         18L, 33L, 32L, 23L, 18L, 35L, 36L, 33L, 42L, 29L, 18L, 
#>         36L, 48L, 18L, 56L, 18L, 18L, 55L, 18L, 46L, 29L, 42L, 
#>         49L, 18L, 27L, 55L, 29L, 37L, 9L, 8L, 40L, 18L, 18L, 
#>         42L, 6L, 13L, 36L, 33L, 18L, 37L, 21L, 18L, 22L, 22L, 
#>         32L, 18L, 29L, 36L, 1L, 29L, 55L, 42L, 38L, 55L, 32L, 
#>         14L, 6L, 18L, 1L, 18L, 32L, 3L, 55L, 30L), flag = c(NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_), 
#>         pcttest = c(99L, 100L, 99L, 100L, 100L, 100L, 99L, 98L, 
#>         100L, 100L, 99L, 99L, 93L, 95L, 95L, 100L, 98L, 100L, 
#>         95L, 100L, 100L, 98L, 100L, 99L, 99L, 100L, 98L, 98L, 
#>         100L, 99L, 99L, 100L, 100L, 100L, 97L, 100L, 100L, 99L, 
#>         100L, 100L, 100L, 99L, 99L, 100L, 100L, 99L, 99L, 90L, 
#>         100L, 99L, 96L, 98L, 100L, 99L, 100L, 98L, 66L, 99L, 
#>         83L, 98L, 100L, 100L, 88L, 99L, 92L, 100L, 99L, 98L, 
#>         100L, 98L, 99L, 99L, 100L, 100L, 100L, 89L, 100L, 100L, 
#>         100L, 97L, 97L, 98L, 99L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 99L, 100L, 100L, 99L, 99L, 99L, 97L, 99L, 98L, 97L, 
#>         100L, 99L, 100L, 100L, 96L, 99L, 99L, 97L, 96L, 100L, 
#>         98L, 90L, 100L, 97L, 98L, 100L, 98L, 99L, 100L, 99L, 
#>         99L, 99L, 99L, 100L, 99L, 97L, 100L, 98L, 98L, 100L, 
#>         99L, 100L, 100L, 97L, 99L, 99L, 100L, 95L, 100L, 97L, 
#>         100L, 99L, 98L, 100L, 96L, 98L, 100L, 97L, 100L, 100L, 
#>         100L, 99L, 100L, 99L, 99L, 98L, 100L, 99L, 98L, 97L, 
#>         100L, 98L, 99L, 99L, 86L, 100L, 96L, 90L, 96L, 93L, 99L, 
#>         100L, 98L, 98L, 90L, 100L, 89L, 99L, 79L, 97L, 99L, 100L, 
#>         100L, 100L, 99L, 100L, 100L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 98L, 100L, 99L, 95L, 100L, 99L, 99L, 100L), api00 = c(840L, 
#>         516L, 531L, 501L, 720L, 805L, 778L, 731L, 592L, 669L, 
#>         496L, 505L, 467L, 409L, 522L, 497L, 638L, 609L, 867L, 
#>         534L, 705L, 685L, 761L, 455L, 509L, 771L, 681L, 666L, 
#>         751L, 647L, 745L, 474L, 832L, 559L, 582L, 765L, 694L, 
#>         676L, 641L, 744L, 870L, 510L, 865L, 527L, 782L, 745L, 
#>         681L, 500L, 679L, 892L, 552L, 619L, 616L, 703L, 509L, 
#>         724L, 559L, 650L, 806L, 759L, 740L, 642L, 565L, 565L, 
#>         525L, 726L, 863L, 765L, 893L, 443L, 774L, 398L, 539L, 
#>         668L, 776L, 580L, 581L, 503L, 724L, 476L, 712L, 529L, 
#>         870L, 746L, 836L, 680L, 756L, 878L, 784L, 423L, 588L, 
#>         606L, 632L, 753L, 651L, 743L, 553L, 593L, 528L, 676L, 
#>         861L, 678L, 518L, 535L, 588L, 597L, 770L, 884L, 667L, 
#>         819L, 721L, 534L, 713L, 542L, 648L, 816L, 509L, 493L, 
#>         551L, 485L, 893L, 641L, 709L, 596L, 765L, 609L, 671L, 
#>         720L, 669L, 667L, 743L, 403L, 610L, 650L, 836L, 695L, 
#>         542L, 618L, 578L, 551L, 814L, 467L, 777L, 717L, 610L, 
#>         719L, 868L, 678L, 617L, 418L, 669L, 856L, 723L, 773L, 
#>         609L, 780L, 693L, 635L, 712L, 676L, 660L, 668L, 784L, 
#>         472L, 421L, 764L, 646L, 585L, 556L, 733L, 657L, 667L, 
#>         606L, 600L, 522L, 599L, 706L, 409L, 631L, 635L, 601L, 
#>         477L, 845L, 819L, 631L, 696L, 714L, 788L, 667L, 710L, 
#>         568L, 453L, 546L, 847L, 679L, 477L, 646L, 627L, 521L, 
#>         624L), api99 = c(816L, 476L, 544L, 457L, 659L, 780L, 
#>         787L, 731L, 508L, 658L, 479L, 499L, 460L, 406L, 532L, 
#>         440L, 572L, 564L, 816L, 478L, 685L, 657L, 739L, 403L, 
#>         504L, 755L, 673L, 690L, 687L, 642L, 707L, 449L, 835L, 
#>         525L, 589L, 740L, 679L, 641L, 620L, 701L, 863L, 485L, 
#>         858L, 523L, 780L, 691L, 665L, 491L, 677L, 854L, 475L, 
#>         559L, 575L, 652L, 470L, 670L, 554L, 621L, 803L, 726L, 
#>         703L, 579L, 526L, 556L, 495L, 689L, 848L, 703L, 845L, 
#>         436L, 787L, 401L, 500L, 603L, 728L, 554L, 563L, 442L, 
#>         673L, 409L, 694L, 478L, 852L, 723L, 798L, 657L, 766L, 
#>         874L, 760L, 403L, 538L, 566L, 568L, 696L, 595L, 750L, 
#>         499L, 595L, 524L, 678L, 856L, 669L, 535L, 495L, 533L, 
#>         527L, 817L, 867L, 633L, 801L, 737L, 529L, 631L, 524L, 
#>         621L, 812L, 495L, 420L, 491L, 430L, 890L, 660L, 584L, 
#>         583L, 713L, 524L, 641L, 637L, 536L, 698L, 739L, 384L, 
#>         634L, 631L, 772L, 651L, 497L, 570L, 535L, 471L, 783L, 
#>         455L, 750L, 694L, 592L, 671L, 858L, 680L, 562L, 383L, 
#>         650L, 854L, 671L, 732L, 541L, 774L, 688L, 578L, 709L, 
#>         616L, 622L, 575L, 744L, 497L, 398L, 760L, 636L, 606L, 
#>         545L, 703L, 627L, 607L, 575L, 580L, 509L, 574L, 726L, 
#>         410L, 639L, 625L, 574L, 484L, 799L, 790L, 646L, 642L, 
#>         672L, 747L, 601L, 706L, 504L, 447L, 524L, 814L, 664L, 
#>         424L, 620L, 597L, 500L, 609L), target = c(NA, 16L, 13L, 
#>         17L, 7L, 1L, 1L, 3L, 15L, 7L, 16L, 15L, 17L, 20L, 13L, 
#>         18L, 11L, 12L, NA, 16L, 6L, 7L, 3L, 20L, 15L, 2L, 6L, 
#>         6L, 6L, 8L, 5L, 18L, NA, 14L, 11L, 3L, 6L, 8L, 9L, 5L, 
#>         NA, 16L, NA, 14L, 1L, 5L, 7L, 15L, 6L, NA, 16L, 12L, 
#>         11L, 7L, 17L, 7L, 12L, 9L, NA, 4L, 5L, 11L, 14L, 12L, 
#>         15L, 6L, NA, 5L, NA, 18L, 1L, 20L, 15L, 10L, 4L, 12L, 
#>         12L, 18L, 6L, 20L, 5L, 16L, NA, 4L, 1L, 7L, 2L, NA, 2L, 
#>         20L, 13L, 12L, 12L, 5L, 10L, 3L, 15L, 10L, 14L, 6L, NA, 
#>         7L, 13L, 15L, 13L, 14L, NA, NA, 8L, NA, 3L, 14L, 8L, 
#>         14L, 9L, NA, 15L, 19L, 15L, 19L, NA, 7L, 11L, 11L, 4L, 
#>         14L, 8L, 8L, 13L, 5L, 3L, 21L, 8L, 8L, 1L, 7L, 15L, 12L, 
#>         13L, 16L, 1L, 17L, 3L, 5L, 10L, 6L, NA, 6L, 12L, 21L, 
#>         8L, NA, 6L, 3L, 13L, 1L, 6L, 11L, 5L, 9L, 9L, 11L, 3L, 
#>         15L, 20L, 2L, 8L, 10L, 13L, 5L, 9L, 10L, 11L, 11L, 15L, 
#>         11L, 4L, 20L, 8L, 9L, 11L, 16L, 1L, 1L, 8L, 8L, 6L, 3L, 
#>         10L, 5L, 15L, 18L, 14L, NA, 7L, 19L, 9L, 10L, 15L, 10L
#>         ), growth = c(24L, 40L, -13L, 44L, 61L, 25L, -9L, 0L, 
#>         84L, 11L, 17L, 6L, 7L, 3L, -10L, 57L, 66L, 45L, 51L, 
#>         56L, 20L, 28L, 22L, 52L, 5L, 16L, 8L, -24L, 64L, 5L, 
#>         38L, 25L, -3L, 34L, -7L, 25L, 15L, 35L, 21L, 43L, 7L, 
#>         25L, 7L, 4L, 2L, 54L, 16L, 9L, 2L, 38L, 77L, 60L, 41L, 
#>         51L, 39L, 54L, 5L, 29L, 3L, 33L, 37L, 63L, 39L, 9L, 30L, 
#>         37L, 15L, 62L, 48L, 7L, -13L, -3L, 39L, 65L, 48L, 26L, 
#>         18L, 61L, 51L, 67L, 18L, 51L, 18L, 23L, 38L, 23L, -10L, 
#>         4L, 24L, 20L, 50L, 40L, 64L, 57L, 56L, -7L, 54L, -2L, 
#>         4L, -2L, 5L, 9L, -17L, 40L, 55L, 70L, -47L, 17L, 34L, 
#>         18L, -16L, 5L, 82L, 18L, 27L, 4L, 14L, 73L, 60L, 55L, 
#>         3L, -19L, 125L, 13L, 52L, 85L, 30L, 83L, 133L, -31L, 
#>         4L, 19L, -24L, 19L, 64L, 44L, 45L, 48L, 43L, 80L, 31L, 
#>         12L, 27L, 23L, 18L, 48L, 10L, -2L, 55L, 35L, 19L, 2L, 
#>         52L, 41L, 68L, 6L, 5L, 57L, 3L, 60L, 38L, 93L, 40L, -25L, 
#>         23L, 4L, 10L, -21L, 11L, 30L, 30L, 60L, 31L, 20L, 13L, 
#>         25L, -20L, -1L, -8L, 10L, 27L, -7L, 46L, 29L, -15L, 54L, 
#>         42L, 41L, 66L, 4L, 64L, 6L, 22L, 33L, 15L, 53L, 26L, 
#>         30L, 21L, 15L), sch.wide = c(2L, 2L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), comp.imp = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), both = c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), awards = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), meals = c(33L, 98L, 64L, 83L, 26L, 7L, 9L, 
#>         45L, 75L, 47L, 69L, 60L, 66L, 54L, 35L, 95L, 75L, 47L, 
#>         6L, 93L, 38L, 32L, 24L, 89L, 44L, 15L, 18L, 9L, 35L, 
#>         60L, 13L, 98L, 25L, 78L, 63L, 54L, 21L, 24L, 23L, 34L, 
#>         2L, 31L, 4L, 37L, 14L, 31L, 20L, 59L, 31L, 6L, 66L, 58L, 
#>         71L, 67L, 75L, 15L, 78L, 64L, 40L, 36L, 42L, 69L, 99L, 
#>         75L, 51L, 45L, 14L, 13L, 7L, 79L, 4L, 83L, 92L, 51L, 
#>         25L, 74L, 52L, 95L, 51L, 96L, 3L, 74L, 7L, 20L, 24L, 
#>         50L, 20L, 4L, 8L, 100L, 61L, 48L, 51L, 17L, 56L, 12L, 
#>         80L, 72L, 77L, 18L, 10L, 18L, 39L, 64L, 54L, 76L, 1L, 
#>         6L, 45L, 11L, 9L, 72L, 19L, 100L, 47L, 1L, 72L, 97L, 
#>         67L, 85L, 1L, 6L, 77L, 83L, 52L, 42L, 38L, 39L, 100L, 
#>         19L, 19L, 99L, 34L, 78L, 10L, 36L, 98L, 23L, 69L, 66L, 
#>         28L, 73L, 25L, 29L, 31L, 33L, 0L, 21L, 49L, 100L, 24L, 
#>         4L, 46L, 24L, 82L, 29L, 46L, 44L, 5L, 76L, 36L, 43L, 
#>         5L, 20L, 98L, 1L, 20L, 23L, 33L, 33L, 24L, 41L, 57L, 
#>         36L, 91L, 21L, 13L, 98L, 67L, 23L, 38L, 86L, 14L, 13L, 
#>         74L, 72L, 45L, 39L, 38L, 8L, 69L, 47L, 38L, 34L, 36L, 
#>         98L, 36L, 56L, 88L, 28L), ell = c(25L, 77L, 23L, 63L, 
#>         17L, 0L, 2L, 2L, 58L, 23L, 25L, 10L, 43L, 26L, 7L, 66L, 
#>         73L, 20L, 16L, 39L, 6L, 18L, 6L, 59L, 18L, 3L, 3L, 5L, 
#>         7L, 23L, 1L, 17L, 10L, 27L, 22L, 18L, 0L, 14L, 0L, 2L, 
#>         2L, 30L, 7L, 37L, 0L, 3L, 4L, 46L, 13L, 3L, 42L, 20L, 
#>         11L, 0L, 32L, 8L, 27L, 27L, 43L, 3L, 37L, 22L, 35L, 62L, 
#>         17L, 8L, 1L, 3L, 4L, 37L, 4L, 70L, 80L, 15L, 10L, 22L, 
#>         33L, 73L, 3L, 38L, 0L, 9L, 2L, 11L, 3L, 5L, 0L, 2L, 7L, 
#>         62L, 1L, 28L, 18L, 5L, 25L, 0L, 33L, 21L, 32L, 1L, 7L, 
#>         13L, 22L, 46L, 24L, 18L, 1L, 8L, 16L, 10L, 7L, 50L, 0L, 
#>         40L, 14L, 1L, 37L, 84L, 17L, 33L, 1L, 6L, 2L, 32L, 1L, 
#>         28L, 22L, 20L, 50L, 6L, 17L, 5L, 11L, 33L, 1L, 14L, 66L, 
#>         17L, 41L, 12L, 9L, 54L, 8L, 16L, 24L, 17L, 2L, 5L, 50L, 
#>         24L, 18L, 19L, 12L, 6L, 33L, 0L, 33L, 28L, 4L, 51L, 8L, 
#>         5L, 3L, 25L, 69L, 0L, 10L, 16L, 6L, 29L, 10L, 7L, 15L, 
#>         21L, 34L, 18L, 0L, 49L, 59L, 10L, 0L, 34L, 4L, 6L, 45L, 
#>         50L, 21L, 22L, 14L, 3L, 34L, 37L, 8L, 12L, 39L, 56L, 
#>         14L, 6L, 69L, 4L), yr.rnd = c(1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), mobility = c(11L, 
#>         26L, 17L, 13L, 31L, 12L, 10L, 15L, 23L, 19L, 26L, 22L, 
#>         16L, 44L, 18L, 18L, 12L, 8L, 17L, 20L, 8L, 6L, 15L, 10L, 
#>         13L, 11L, 12L, 9L, 9L, 18L, 6L, 31L, 16L, 20L, 13L, 23L, 
#>         17L, 17L, 9L, 18L, 8L, 12L, 17L, 17L, 15L, 22L, 4L, 13L, 
#>         9L, 13L, 15L, 9L, 24L, 15L, 32L, 10L, 12L, 22L, 15L, 
#>         38L, 21L, 21L, 18L, 11L, 12L, 38L, 18L, 16L, 16L, 16L, 
#>         9L, 17L, 27L, 9L, 12L, 12L, 8L, 17L, 16L, 8L, 7L, 5L, 
#>         20L, 26L, 16L, 14L, 14L, 3L, 8L, 22L, 20L, 7L, 19L, 8L, 
#>         19L, 8L, 25L, 12L, 4L, 14L, 12L, 20L, 9L, 26L, 17L, 17L, 
#>         6L, 8L, 22L, 12L, 6L, 17L, 6L, 21L, 16L, 6L, 16L, 6L, 
#>         46L, 7L, 8L, 8L, 20L, 23L, 13L, 15L, 18L, 29L, 17L, 55L, 
#>         6L, 19L, 19L, 21L, 17L, 13L, 23L, 7L, 38L, 12L, 14L, 
#>         13L, 13L, 21L, 10L, 16L, 4L, 10L, 9L, 72L, 10L, 17L, 
#>         99L, 12L, 41L, 16L, 12L, 19L, 10L, 9L, 15L, 13L, 12L, 
#>         15L, 23L, 4L, 8L, 12L, 14L, 11L, 22L, 11L, 15L, 15L, 
#>         9L, 1L, 8L, 12L, 12L, 96L, 18L, 6L, 12L, 10L, 11L, 26L, 
#>         13L, 11L, 20L, 11L, 25L, 7L, 22L, 13L, 13L, 22L, 12L, 
#>         10L, 6L, 6L), acs.k3 = c(20L, 19L, 20L, 17L, 20L, 19L, 
#>         19L, 19L, 20L, 18L, NA, NA, NA, NA, NA, 19L, 22L, NA, 
#>         NA, 18L, 20L, NA, 19L, NA, NA, 20L, NA, NA, 16L, NA, 
#>         NA, 20L, 20L, 18L, NA, 21L, NA, NA, NA, 19L, NA, NA, 
#>         19L, NA, 16L, 18L, NA, NA, NA, 20L, NA, 19L, 20L, 18L, 
#>         19L, NA, NA, NA, 20L, 18L, 19L, 21L, 20L, NA, NA, 19L, 
#>         20L, 21L, 20L, NA, NA, 20L, 20L, NA, 19L, 19L, NA, 22L, 
#>         18L, NA, NA, NA, 19L, 20L, 18L, NA, 19L, NA, NA, 19L, 
#>         16L, 18L, 19L, NA, 20L, NA, 20L, NA, NA, 18L, 19L, NA, 
#>         NA, NA, 19L, 20L, NA, 19L, NA, 19L, NA, NA, NA, 19L, 
#>         NA, NA, 20L, 17L, NA, NA, NA, NA, 18L, 20L, NA, 20L, 
#>         20L, 18L, 18L, NA, NA, NA, NA, 19L, 18L, NA, 19L, NA, 
#>         20L, NA, 20L, NA, 20L, NA, NA, 19L, NA, NA, 20L, NA, 
#>         NA, 18L, 18L, NA, 19L, NA, NA, NA, NA, 18L, NA, 19L, 
#>         NA, NA, 20L, NA, NA, NA, NA, NA, NA, 17L, NA, NA, NA, 
#>         NA, NA, NA, 19L, NA, NA, NA, 19L, NA, 19L, 18L, 18L, 
#>         19L, 24L, NA, 20L, NA, NA, 20L, 20L, 19L, NA, NA, 20L, 
#>         NA), acs.46 = c(29L, 28L, 30L, 30L, 30L, 29L, 31L, 31L, 
#>         32L, 29L, 32L, 32L, NA, 32L, NA, 30L, 30L, 32L, NA, 23L, 
#>         31L, 33L, 32L, NA, NA, 28L, NA, NA, 24L, 31L, NA, 31L, 
#>         34L, 27L, 34L, 33L, 24L, 25L, NA, 28L, 26L, NA, 27L, 
#>         NA, 22L, 30L, NA, 26L, 30L, 26L, NA, 28L, 29L, 29L, 34L, 
#>         NA, 23L, 26L, 30L, 22L, 29L, 32L, 29L, NA, NA, 30L, 46L, 
#>         30L, 30L, 28L, NA, 29L, 30L, 28L, 22L, NA, NA, 31L, 29L, 
#>         27L, NA, 28L, 29L, 30L, 28L, 25L, 29L, 28L, NA, 28L, 
#>         26L, 26L, 31L, 30L, 31L, NA, 30L, NA, NA, 30L, 26L, 38L, 
#>         NA, 30L, 30L, 27L, NA, 29L, NA, 28L, NA, 28L, NA, 33L, 
#>         28L, NA, 30L, 25L, 30L, 21L, 25L, NA, 24L, 31L, 25L, 
#>         28L, 28L, 28L, 27L, NA, NA, 34L, NA, 32L, 27L, NA, 28L, 
#>         NA, 31L, 27L, 33L, NA, 31L, NA, NA, 30L, NA, NA, 23L, 
#>         NA, NA, 30L, 30L, 32L, 27L, 28L, NA, 28L, NA, 29L, NA, 
#>         26L, NA, NA, 23L, NA, NA, NA, NA, NA, NA, 20L, 30L, NA, 
#>         28L, NA, NA, NA, 23L, NA, 33L, NA, 30L, 29L, 30L, NA, 
#>         28L, 26L, 24L, NA, 28L, NA, NA, 31L, 31L, 28L, NA, 36L, 
#>         32L, NA), acs.core = c(NA, NA, NA, NA, NA, NA, NA, NA, 
#>         NA, NA, 30L, 32L, 27L, 29L, 28L, NA, NA, 34L, 30L, 21L, 
#>         NA, 28L, NA, 26L, 32L, NA, 28L, 27L, NA, 30L, 28L, NA, 
#>         NA, NA, 29L, NA, 29L, 24L, 25L, NA, 27L, 27L, NA, 27L, 
#>         NA, NA, 28L, 23L, 28L, NA, 27L, NA, NA, NA, NA, 31L, 
#>         23L, 29L, NA, NA, NA, 30L, NA, 27L, 26L, NA, NA, NA, 
#>         NA, 24L, 27L, NA, NA, 26L, NA, NA, 28L, NA, NA, NA, 22L, 
#>         NA, NA, NA, NA, 25L, NA, 28L, 28L, NA, NA, NA, NA, 29L, 
#>         NA, 25L, NA, 25L, 27L, 29L, NA, NA, 30L, 27L, NA, NA, 
#>         23L, NA, 27L, NA, 29L, 27L, 24L, NA, 29L, 29L, NA, 25L, 
#>         31L, 25L, NA, 21L, NA, NA, 23L, NA, NA, NA, NA, 29L, 
#>         28L, 35L, 27L, NA, NA, 31L, NA, 20L, NA, 22L, NA, 29L, 
#>         NA, 35L, 26L, NA, 31L, 29L, 25L, 32L, 28L, NA, NA, 30L, 
#>         NA, 28L, 29L, 26L, 33L, NA, 27L, NA, 28L, 15L, 28L, 27L, 
#>         27L, 26L, 28L, 30L, 30L, 19L, 31L, 27L, 24L, 26L, 29L, 
#>         29L, NA, 25L, 32L, 27L, NA, 29L, NA, NA, NA, NA, NA, 
#>         28L, NA, 28L, 26L, NA, NA, NA, 29L, 26L, NA, 24L), pct.resp = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 87L, 67L, 50L, 
#>         70L, 71L, 2L, 91L, 0L, 100L, 90L, 83L, 86L, 98L, 5L, 
#>         72L, 100L, 84L, 80L, 100L, 96L, 77L, 90L, 57L, 0L, 94L, 
#>         91L, 89L, 98L, 100L, 94L, 92L, 100L, 74L, 72L, 84L, 94L, 
#>         66L, 97L, 82L, 100L, 87L, 77L, 71L, 5L, 3L, 70L, 86L, 
#>         50L, 96L, 99L, 90L, 42L, 93L, 1L, 97L, 90L, 47L, 84L, 
#>         55L, 85L, 51L, 62L, 0L, 62L, 96L, 54L, 62L, 95L, 99L, 
#>         95L, 93L, 100L, 91L, 96L, 73L, 84L, 98L, 91L, 64L, 24L, 
#>         38L, 85L, 94L, 99L, 96L, 89L, 72L, 77L, 100L, 96L, 89L, 
#>         77L, 97L, 6L, 85L, 56L, 94L, 79L, 100L, 88L, 76L, 94L, 
#>         88L, 99L, 69L, 77L, 86L, 73L, 55L, 100L, 97L, 91L, 98L, 
#>         87L, 61L, 95L, 85L, 95L, 92L, 1L, 49L, 82L, 80L, 95L, 
#>         99L, 12L, 58L, 96L, 82L, 78L, 95L, 2L, 76L, 91L, 97L, 
#>         93L, 96L, 61L, 67L, 82L, 88L, 73L, 92L, 88L, 95L, 74L, 
#>         87L, 96L, 88L, 96L, 93L, 89L, 28L, 91L, 96L, 91L, 63L, 
#>         85L, 98L, 91L, 66L, 89L, 77L, 43L, 86L, 82L, 68L, 87L, 
#>         86L, 87L, 84L, 82L, 99L, 59L, 98L, 1L, 88L, 97L, 0L, 
#>         99L, 74L, 8L, 100L, 88L, 5L, 96L, 93L, 97L, 93L), not.hsg = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 31L, 49L, 12L, 
#>         20L, 45L, 9L, 22L, 0L, 60L, 5L, 10L, 2L, 58L, 28L, 1L, 
#>         6L, 5L, 2L, 20L, 1L, 21L, 5L, 20L, 0L, 17L, 4L, 9L, 8L, 
#>         11L, 2L, 36L, 1L, 42L, 3L, 5L, 15L, 26L, 17L, 0L, 53L, 
#>         31L, 11L, 1L, 28L, 11L, 30L, 21L, 6L, 2L, 11L, 13L, 31L, 
#>         55L, 17L, 9L, 0L, 2L, 0L, 32L, 2L, 56L, 56L, 0L, 34L, 
#>         30L, 15L, 51L, 18L, 64L, 6L, 26L, 6L, 6L, 3L, 3L, 1L, 
#>         2L, 4L, 49L, 0L, 14L, 21L, 3L, 17L, 2L, 35L, 36L, 40L, 
#>         4L, 5L, 10L, 27L, 37L, 28L, 18L, 2L, 2L, 11L, 10L, 6L, 
#>         37L, 2L, 43L, 12L, 1L, 22L, 75L, 22L, 48L, 0L, 13L, 18L, 
#>         26L, 7L, 29L, 6L, 12L, 47L, 8L, 20L, 25L, 8L, 19L, 1L, 
#>         13L, 21L, 19L, 34L, 36L, 3L, 51L, 0L, 5L, 27L, 13L, 0L, 
#>         12L, 25L, 47L, 10L, 0L, 10L, 7L, 15L, 4L, 16L, 33L, 6L, 
#>         24L, 22L, 10L, 3L, 19L, 73L, 1L, 14L, 20L, 16L, 12L, 
#>         6L, 2L, 27L, 19L, 36L, 21L, 3L, 49L, 49L, 15L, 20L, 61L, 
#>         6L, 3L, 22L, 37L, 50L, 10L, 10L, 0L, 22L, 50L, 20L, 9L, 
#>         7L, 10L, 18L, 25L, 41L, 10L), hsg = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 34L, 20L, 33L, 20L, 36L, 
#>         64L, 20L, 0L, 24L, 29L, 21L, 21L, 23L, 40L, 8L, 19L, 
#>         21L, 19L, 33L, 11L, 53L, 8L, 30L, 100L, 40L, 36L, 43L, 
#>         24L, 51L, 3L, 25L, 4L, 24L, 20L, 15L, 22L, 30L, 22L, 
#>         5L, 26L, 21L, 24L, 15L, 55L, 27L, 31L, 19L, 22L, 27L, 
#>         25L, 33L, 40L, 23L, 0L, 32L, 9L, 8L, 3L, 29L, 12L, 26L, 
#>         27L, 100L, 11L, 25L, 25L, 30L, 44L, 19L, 21L, 35L, 26L, 
#>         12L, 35L, 11L, 17L, 4L, 9L, 28L, 10L, 18L, 27L, 20L, 
#>         31L, 16L, 47L, 21L, 34L, 40L, 3L, 19L, 27L, 35L, 36L, 
#>         51L, 4L, 5L, 19L, 12L, 8L, 25L, 20L, 35L, 31L, 3L, 33L, 
#>         15L, 23L, 29L, 2L, 30L, 41L, 27L, 29L, 34L, 25L, 16L, 
#>         25L, 14L, 0L, 27L, 20L, 37L, 15L, 19L, 53L, 16L, 36L, 
#>         30L, 9L, 27L, 20L, 15L, 20L, 30L, 2L, 14L, 13L, 24L, 
#>         38L, 10L, 25L, 9L, 46L, 12L, 23L, 21L, 15L, 28L, 19L, 
#>         27L, 10L, 35L, 17L, 5L, 23L, 15L, 24L, 22L, 24L, 22L, 
#>         22L, 22L, 30L, 26L, 15L, 20L, 18L, 19L, 21L, 24L, 25L, 
#>         7L, 23L, 36L, 50L, 20L, 11L, 0L, 37L, 21L, 28L, 21L, 
#>         17L, 48L, 20L, 34L, 58L, 25L), some.col = c(0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L, 15L, 23L, 31L, 11L, 
#>         18L, 32L, 0L, 13L, 27L, 31L, 46L, 14L, 18L, 22L, 30L, 
#>         31L, 24L, 30L, 30L, 21L, 28L, 27L, 0L, 19L, 37L, 28L, 
#>         35L, 27L, 7L, 26L, 18L, 17L, 24L, 47L, 29L, 20L, 34L, 
#>         26L, 12L, 27L, 39L, 39L, 10L, 22L, 17L, 28L, 29L, 40L, 
#>         26L, 31L, 11L, 14L, 17L, 33L, 24L, 21L, 14L, 15L, 28L, 
#>         8L, 12L, 0L, 45L, 32L, 31L, 16L, 26L, 14L, 29L, 25L, 
#>         23L, 35L, 30L, 28L, 32L, 23L, 22L, 13L, 36L, 38L, 33L, 
#>         34L, 37L, 36L, 13L, 15L, 16L, 32L, 18L, 37L, 25L, 18L, 
#>         20L, 21L, 11L, 13L, 31L, 29L, 23L, 22L, 40L, 18L, 39L, 
#>         12L, 19L, 6L, 31L, 10L, 14L, 25L, 29L, 33L, 40L, 23L, 
#>         35L, 25L, 17L, 30L, 0L, 20L, 33L, 26L, 37L, 34L, 6L, 
#>         30L, 22L, 24L, 29L, 14L, 40L, 23L, 22L, 20L, 6L, 31L, 
#>         28L, 14L, 17L, 25L, 37L, 32L, 22L, 35L, 31L, 19L, 31L, 
#>         29L, 26L, 43L, 24L, 19L, 7L, 23L, 25L, 22L, 34L, 26L, 
#>         28L, 38L, 28L, 26L, 16L, 20L, 40L, 15L, 13L, 34L, 33L, 
#>         8L, 27L, 29L, 32L, 21L, 0L, 28L, 32L, 50L, 25L, 14L, 
#>         20L, 20L, 33L, 10L, 29L, 20L, 0L, 34L), col.grad = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 10L, 12L, 29L, 
#>         23L, 8L, 9L, 16L, 100L, 2L, 28L, 28L, 26L, 3L, 13L, 27L, 
#>         30L, 34L, 44L, 13L, 42L, 5L, 29L, 21L, 0L, 20L, 19L, 
#>         16L, 28L, 10L, 35L, 10L, 42L, 14L, 42L, 20L, 27L, 21L, 
#>         19L, 35L, 8L, 13L, 22L, 33L, 7L, 31L, 19L, 22L, 39L, 
#>         24L, 22L, 17L, 15L, 7L, 67L, 19L, 39L, 39L, 39L, 23L, 
#>         41L, 5L, 4L, 0L, 10L, 10L, 22L, 3L, 9L, 2L, 33L, 11L, 
#>         34L, 28L, 25L, 40L, 41L, 42L, 45L, 8L, 48L, 21L, 12L, 
#>         31L, 12L, 33L, 5L, 22L, 8L, 18L, 35L, 25L, 17L, 9L, 16L, 
#>         6L, 38L, 25L, 30L, 32L, 41L, 13L, 30L, 4L, 15L, 44L, 
#>         24L, 2L, 18L, 12L, 43L, 30L, 11L, 11L, 20L, 10L, 22L, 
#>         35L, 8L, 36L, 40L, 25L, 33L, 11L, 32L, 23L, 19L, 30L, 
#>         6L, 7L, 36L, 8L, 10L, 37L, 24L, 27L, 36L, 31L, 19L, 13L, 
#>         28L, 40L, 18L, 20L, 15L, 36L, 25L, 21L, 32L, 10L, 21L, 
#>         12L, 43L, 19L, 2L, 44L, 31L, 30L, 21L, 28L, 34L, 32L, 
#>         18L, 25L, 16L, 29L, 27L, 14L, 13L, 16L, 21L, 5L, 35L, 
#>         36L, 16L, 3L, 0L, 35L, 23L, 0L, 11L, 14L, 31L, 27L, 33L, 
#>         33L, 25L, 16L, 0L, 25L), grad.sch = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 4L, 3L, 6L, 0L, 0L, 11L, 
#>         0L, 2L, 11L, 10L, 5L, 1L, 1L, 43L, 16L, 8L, 11L, 4L, 
#>         17L, 1L, 30L, 2L, 0L, 3L, 4L, 4L, 4L, 1L, 54L, 3L, 36L, 
#>         2L, 11L, 13L, 8L, 3L, 9L, 33L, 2L, 8L, 5L, 12L, 0L, 9L, 
#>         4L, 11L, 4L, 7L, 16L, 6L, 3L, 1L, 0L, 7L, 28L, 30L, 43L, 
#>         2L, 16L, 4L, 1L, 0L, 0L, 3L, 7L, 0L, 3L, 1L, 11L, 3L, 
#>         11L, 19L, 7L, 17L, 10L, 30L, 20L, 1L, 6L, 9L, 7L, 13L, 
#>         3L, 12L, 1L, 6L, 2L, 6L, 39L, 9L, 3L, 2L, 0L, 3L, 45L, 
#>         55L, 10L, 17L, 22L, 2L, 8L, 0L, 4L, 41L, 3L, 1L, 7L, 
#>         1L, 41L, 2L, 2L, 2L, 5L, 4L, 12L, 12L, 4L, 12L, 40L, 
#>         3L, 5L, 8L, 15L, 11L, 2L, 5L, 2L, 3L, 23L, 1L, 30L, 20L, 
#>         7L, 10L, 55L, 13L, 16L, 2L, 7L, 24L, 10L, 33L, 2L, 14L, 
#>         5L, 5L, 15L, 9L, 11L, 9L, 21L, 8L, 1L, 28L, 7L, 14L, 
#>         5L, 12L, 8L, 5L, 6L, 8L, 2L, 4L, 14L, 1L, 7L, 16L, 6L, 
#>         1L, 9L, 25L, 7L, 2L, 0L, 7L, 24L, 50L, 4L, 1L, 2L, 23L, 
#>         10L, 0L, 9L, 4L, 0L, 5L), avg.ed = c(3.3199999332428, 
#>         1.66999995708466, 2.33999991416931, 1.86000001430511, 
#>         3.17000007629395, 3.64000010490417, 3.54999995231628, 
#>         3.09999990463257, 2.17000007629395, 2.8199999332428, 
#>         2.21000003814697, 2.22000002861023, 2.00999999046326, 
#>         2.78999996185303, 2.73000001907349, 1.82000005245209, 
#>         2.26999998092651, 2.75, 4, 1.61000001430511, 3.10999989509583, 
#>         3.05999994277954, 3.13000011444092, 1.67999994754791, 
#>         2.19000005722046, 4.03000020980835, 3.30999994277954, 
#>         3.20000004768372, 3.41000008583069, 2.48000001907349, 
#>         3.63000011444092, 2.11999988555908, 3.71000003814697, 
#>         2.54999995231628, 2, 2.50999999046326, 2.83999991416931, 
#>         2.60999989509583, 2.97000002861023, 2.39000010490417, 
#>         4.36999988555908, 2.19000005722046, 4.09000015258789, 
#>         2.10999989509583, 3.36999988555908, 3.19000005722046, 
#>         2.90000009536743, 2.45000004768372, 2.8199999332428, 
#>         3.96000003814697, 1.78999996185303, 2.47000002861023, 
#>         2.85999989509583, 3.41000008583069, 1.97000002861023, 
#>         3, 2.34999990463257, 2.82999992370605, 3.14000010490417, 
#>         3.08999991416931, 3.07999992370605, 2.70000004768372, 
#>         2.20000004768372, 1.76999998092651, 3.32999992370605, 
#>         2.82999992370605, 3.84999990463257, 3.88000011444092, 
#>         4.21999979019165, 2.34999990463257, 3.5699999332428, 
#>         1.75999999046326, 1.67999994754791, 2, 2.3199999332428, 
#>         2.29999995231628, 2.8199999332428, 1.73000001907349, 
#>         2.35999989509583, 1.57000005245209, 3.21000003814697, 
#>         2.30999994277954, 3.1800000667572, 3.4300000667572, 2.97000002861023, 
#>         3.55999994277954, 3.4300000667572, 3.95000004768372, 
#>         3.67000007629395, 1.8400000333786, 3.49000000953674, 
#>         2.9300000667572, 2.5699999332428, 3.30999994277954, 2.53999996185303, 
#>         3.38000011444092, 1.88999998569489, 2.41000008583069, 
#>         1.96000003814697, 2.82999992370605, 3.99000000953674, 
#>         3.03999996185303, 2.42000007629395, 2.04999995231628, 
#>         2.24000000953674, 2.24000000953674, 4.19999980926514, 
#>         4.26000022888184, 3.09999990463257, 3.34999990463257, 
#>         3.64000010490417, 2.19000005722046, 3.22000002861023, 
#>         1.83000004291534, 2.67000007629395, 4.21000003814697, 
#>         2.52999997138977, 1.37999999523163, 2.66000008583069, 
#>         1.87000000476837, 4.23000001907349, 2.76999998092651, 
#>         2.36999988555908, 2.35999989509583, 2.86999988555908, 
#>         2.26999998092651, 3.0699999332428, 3.20000004768372, 
#>         1.96000003814697, 3.29999995231628, 3.79999995231628, 
#>         2.51999998092651, 3.07999992370605, 2.51999998092651, 
#>         3.46000003814697, 3, 2.27999997138977, 2.85999989509583, 
#>         2.0699999332428, 2.11999988555908, 3.66000008583069, 
#>         1.82000005245209, 3.5, 3.52999997138977, 2.64000010490417, 
#>         2.89000010490417, 4.44000005722046, 3.19000005722046, 
#>         2.88000011444092, 1.99000000953674, 2.84999990463257, 
#>         3.78999996185303, 2.9300000667572, 3.61999988555908, 
#>         2.44000005722046, 3.44000005722046, 2.79999995231628, 
#>         2.44000005722046, 3.33999991416931, 2.50999999046326, 
#>         2.78999996185303, 2.82999992370605, 3.6800000667572, 
#>         2.61999988555908, 1.41999995708466, 3.9300000667572, 
#>         2.95000004768372, 3.02999997138977, 2.75, 3.04999995231628, 
#>         3.13000011444092, 3.16000008583069, 2.52999997138977, 
#>         2.79999995231628, 2.19000005722046, 2.6800000667572, 
#>         3.33999991416931, 1.97000002861023, 2.09999990463257, 
#>         2.99000000953674, 2.74000000953674, 1.62000000476837, 
#>         3.16000008583069, 3.71000003814697, 2.63000011444092, 
#>         1.98000001907349, 1.5, 3.09999990463257, 3.40000009536743, 
#>         4, 2.38000011444092, 1.96000003814697, 2.67000007629395, 
#>         3.33999991416931, 3.23000001907349, 2.67000007629395, 
#>         2.85999989509583, 2.40000009536743, 1.61000001430511, 
#>         2.91000008583069), full = c(100L, 57L, 81L, 64L, 90L, 
#>         95L, 96L, 93L, 91L, 96L, 84L, 65L, 93L, 55L, 80L, 67L, 
#>         97L, 89L, 100L, 90L, 97L, 89L, 78L, 81L, 81L, 95L, 77L, 
#>         95L, 88L, 100L, 97L, 31L, 91L, 98L, 66L, 94L, 94L, 84L, 
#>         47L, 96L, 97L, 82L, 100L, 85L, 100L, 97L, 84L, 88L, 93L, 
#>         93L, 100L, 95L, 100L, 83L, 78L, 98L, 77L, 100L, 95L, 
#>         100L, 97L, 87L, 24L, 91L, 68L, 95L, 100L, 97L, 93L, 64L, 
#>         92L, 81L, 80L, 72L, 100L, 84L, 94L, 80L, 89L, 56L, 100L, 
#>         95L, 96L, 97L, 100L, 99L, 100L, 100L, 99L, 100L, 73L, 
#>         92L, 91L, 86L, 90L, 98L, 67L, 81L, 89L, 93L, 100L, 76L, 
#>         79L, 56L, 78L, 96L, 93L, 100L, 100L, 100L, 96L, 90L, 
#>         100L, 94L, 97L, 93L, 61L, 75L, 80L, 73L, 100L, 100L, 
#>         100L, 100L, 100L, 82L, 88L, 74L, 82L, 84L, 92L, 62L, 
#>         91L, 85L, 100L, 91L, 78L, 94L, 81L, 70L, 86L, 84L, 100L, 
#>         88L, 84L, 100L, 93L, 95L, 94L, 55L, 88L, 96L, 73L, 92L, 
#>         84L, 95L, 85L, 81L, 99L, 67L, 94L, 92L, 95L, 87L, 78L, 
#>         98L, 92L, 83L, 66L, 81L, 80L, 92L, 96L, 96L, 66L, 84L, 
#>         92L, 70L, 100L, 97L, 71L, 83L, 97L, 100L, 82L, 91L, 96L, 
#>         68L, 88L, 88L, 83L, 68L, 65L, 67L, 100L, 42L, 95L, 78L, 
#>         95L, 97L), emer = c(0L, 40L, 26L, 24L, 7L, 0L, 0L, 8L, 
#>         14L, 0L, 18L, 37L, 17L, 26L, 19L, 33L, 3L, 13L, 7L, 14L, 
#>         0L, 11L, 22L, 19L, 15L, 0L, 17L, 6L, 4L, 8L, 3L, 63L, 
#>         3L, 9L, 35L, 6L, 13L, 16L, 47L, 4L, 6L, 18L, 3L, 18L, 
#>         0L, 3L, 9L, 0L, 7L, 0L, 0L, 8L, 0L, 9L, 23L, 0L, 17L, 
#>         6L, 5L, 0L, 3L, 5L, 72L, 15L, 34L, 5L, 0L, 3L, 4L, 29L, 
#>         10L, 22L, 17L, 28L, 0L, 13L, 13L, 20L, 11L, 44L, 2L, 
#>         0L, 7L, 3L, 0L, 3L, 0L, 0L, 4L, 12L, 19L, 17L, 15L, 14L, 
#>         10L, 2L, 28L, 14L, 11L, 5L, 0L, 12L, 24L, 40L, 16L, 4L, 
#>         7L, 0L, 21L, 0L, 4L, 14L, 0L, 9L, 3L, 8L, 39L, 25L, 17L, 
#>         30L, 0L, 10L, 0L, 0L, 0L, 11L, 6L, 11L, 18L, 14L, 8L, 
#>         15L, 8L, 15L, 0L, 5L, 11L, 6L, 16L, 37L, 7L, 16L, 3L, 
#>         12L, 1L, 0L, 7L, 3L, 6L, 42L, 12L, 4L, 24L, 14L, 12L, 
#>         5L, 15L, 3L, 4L, 33L, 6L, 8L, 8L, 10L, 19L, 2L, 10L, 
#>         13L, 25L, 19L, 13L, 0L, 1L, 6L, 28L, 14L, 8L, 30L, 0L, 
#>         6L, 18L, 17L, 6L, 3L, 7L, 9L, 0L, 26L, 12L, 5L, 17L, 
#>         28L, 34L, 30L, 0L, 39L, 4L, 13L, 5L, 3L), enroll = c(276L, 
#>         841L, 441L, 298L, 354L, 330L, 385L, 583L, 763L, 381L, 
#>         1293L, 1043L, 2165L, 739L, 1894L, 1112L, 515L, 1116L, 
#>         739L, 262L, 528L, 912L, 278L, 357L, 2552L, 266L, 1105L, 
#>         1586L, 256L, 1173L, 539L, 443L, 450L, 553L, 1527L, 589L, 
#>         363L, 475L, 331L, 312L, 558L, 983L, 474L, 1423L, 184L, 
#>         446L, 682L, 491L, 715L, 369L, 179L, 681L, 263L, 313L, 
#>         522L, 1820L, 598L, 1162L, 339L, 334L, 323L, 655L, 388L, 
#>         817L, 1033L, 342L, 355L, 537L, 382L, 2039L, 1345L, 444L, 
#>         603L, 390L, 264L, 158L, 618L, 643L, 424L, 541L, 532L, 
#>         473L, 337L, 447L, 334L, 1115L, 290L, 767L, 1956L, 660L, 
#>         285L, 143L, 555L, 829L, 382L, 695L, 571L, 637L, 529L, 
#>         619L, 270L, 775L, 1515L, 954L, 441L, 387L, 633L, 227L, 
#>         893L, 155L, 1771L, 635L, 588L, 325L, 725L, 1469L, 437L, 
#>         195L, 1087L, 554L, 445L, 119L, 292L, 332L, 358L, 339L, 
#>         386L, 250L, 587L, 1989L, 802L, 608L, 1139L, 262L, 304L, 
#>         525L, 459L, 195L, 492L, 480L, 615L, 892L, 437L, 1148L, 
#>         1032L, 390L, 1692L, 2247L, 547L, 1068L, 1191L, 365L, 
#>         770L, 934L, 678L, 348L, 714L, 708L, 2018L, 271L, 895L, 
#>         307L, 1788L, 216L, 620L, 1377L, 1115L, 2181L, 1783L, 
#>         696L, 933L, 153L, 1524L, 1389L, 2171L, 1313L, 542L, 1684L, 
#>         213L, 1520L, 1012L, 3156L, 410L, 1358L, 364L, 169L, 368L, 
#>         190L, 368L, 763L, 601L, 2237L, 1602L, 420L, 613L, 446L, 
#>         1754L, 423L, 482L, 599L), api.stu = c(241L, 631L, 415L, 
#>         288L, 319L, 315L, 363L, 510L, 652L, 322L, 1035L, 815L, 
#>         1850L, 658L, 1451L, 931L, 447L, 966L, 585L, 192L, 479L, 
#>         796L, 266L, 302L, 2238L, 241L, 851L, 1349L, 222L, 923L, 
#>         494L, 401L, 397L, 509L, 1458L, 509L, 306L, 402L, 285L, 
#>         266L, 515L, 853L, 397L, 780L, 148L, 356L, 645L, 384L, 
#>         643L, 327L, 143L, 602L, 226L, 256L, 437L, 1607L, 340L, 
#>         1077L, 243L, 244L, 257L, 622L, 299L, 675L, 884L, 293L, 
#>         284L, 438L, 312L, 1769L, 565L, 368L, 532L, 339L, 238L, 
#>         124L, 545L, 567L, 386L, 478L, 303L, 397L, 278L, 354L, 
#>         265L, 1099L, 256L, 735L, 1756L, 597L, 250L, 133L, 484L, 
#>         714L, 304L, 626L, 436L, 594L, 492L, 542L, 239L, 653L, 
#>         1309L, 746L, 383L, 338L, 364L, 185L, 749L, 137L, 1454L, 
#>         461L, 318L, 288L, 613L, 1344L, 366L, 168L, 963L, 490L, 
#>         395L, 106L, 228L, 320L, 273L, 301L, 323L, 219L, 478L, 
#>         1581L, 386L, 544L, 665L, 241L, 251L, 434L, 349L, 178L, 
#>         376L, 448L, 552L, 774L, 381L, 840L, 932L, 325L, 1552L, 
#>         2052L, 487L, 1147L, 1063L, 326L, 645L, 845L, 403L, 296L, 
#>         591L, 524L, 1153L, 261L, 783L, 278L, 1593L, 162L, 500L, 
#>         917L, 914L, 1958L, 814L, 595L, 756L, 123L, 1254L, 1137L, 
#>         1995L, 1111L, 430L, 1208L, 175L, 1306L, 1082L, 2900L, 
#>         372L, 1182L, 347L, 142L, 332L, 168L, 314L, 691L, 457L, 
#>         1248L, 1178L, 352L, 534L, 351L, 1516L, 369L, 446L, 517L
#>         ), pw = c(44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 20.3600006103516, 
#>         15.1000003814697, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 20.3600006103516, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 15.1000003814697, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
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#>         "Doig (Leroy L.)", "Muir High", "Faller Elementa", "Legette (Earl) ", 
#>         "Highlands Eleme", "Bancroft Elemen", "Mt. Vernon Midd", 
#>         "La Mesa Jr. Hig", "McKinley Elemen", "Walker Elementa", 
#>         "Navelencia Midd", "Olson (Ione) El", "Dos Palos Eleme", 
#>         "King (Martin Lu", "Edison Elementa", "Kohn (Frank) El", 
#>         "Myrtle Avenue E", "McKinleyville H", "Mark Twain Elem", 
#>         "Stockdale Eleme", "Muir (John) Ele", "Madrone Element", 
#>         "San Diego Schoo", "Redwood Element", "Sinaloa Middle", 
#>         "El Toro High", "Leavenworth (An", "Annalee Avenue ", 
#>         "Clarksburg Elem", "Monroe Elementa", "Pine Hollow Mid", 
#>         "Merlinda Elemen", "Amador County H", "Lewis (Mary B.)", 
#>         "Downtown Busine", "Jefferson (Thom", "Elliott (Brock)", 
#>         "Murwood Element", "Benton (Reginal", "Bloomington Hig", 
#>         "Vernon Middle", "Hemlock Element", "Roosevelt Eleme", 
#>         "Tamalpais High", "Thornhill Eleme", "Brannan (Sam) M", 
#>         "Old Adobe Eleme", "San Clemente Hi", "Fairview Middle", 
#>         "Summerville Hig", "King Elementary", "Palm Middle", 
#>         "San Ramon Valle", "Wilcox Elementa", "Cantua Elementa", 
#>         "Shandin Hills M", "McFarland Middl", "Ridgeview Eleme", 
#>         "Lone Pine High", "Meadow Lane Ele", "Norman (Alyce) ", 
#>         "Evergreen Middl", "Elkhorn Element", "Lynhaven Elemen", 
#>         "Haynes Elementa", "Sun Empire Elem", "Santiago High", 
#>         "Goleta Valley J", "Willowbrook Mid", "Foothill High", 
#>         "Bryant Elementa", "Olive Drive Ele", "Sierra Middle", 
#>         "El Sereno Eleme", "Delta High", "Myra Linn Eleme", "Bryant Middle", 
#>         "Twain Elementar", "Wiltsey (Ray) M", "Miller Elementa", 
#>         "Mira Loma High", "Willow Glen Hig", "College View El", 
#>         "La Canada High", "Rancho Buena Vi", "Cali Calmecac (", 
#>         "Dominguez High", "Douglass Junior", "Dunsmore Elemen", 
#>         "Joshua Hills El", "Cabrillo Middle", "Broad Avenue El", 
#>         "Sisson Elementa", "Ralston (Dr. Wa", "Steinbeck Middl", 
#>         "Beyer (Fred C.)", "Franklin (Benja", "Silverado Middl", 
#>         "Bedell (Thelma ", "Trabuco Hills H", "O'Connell (John", 
#>         "San Joaquin Ele", "Oak Ridge High", "South San Franc", 
#>         "Hamilton (Alexa", "Antelope Valley", "Rancho Milpitas", 
#>         "Pinole Junior H", "Big Pine Elemen", "Washington Midd", 
#>         "Sacramento High", "El Sereno Middl", "Burton (Phillip", 
#>         "Mariposa County", "Compton High", "Anderson Valley", 
#>         "Ukiah High", "Workman (James)", "Garfield (James", "Del Lago Elemen", 
#>         "Meadowbrook Mid", "Laurel Elementa", "El Cerrito Elem", 
#>         "Santa Susana El", "Fairwood Elemen", "Pacific (K-8)", 
#>         "Santa Susana Hi", "Machado Element", "Delano High", 
#>         "Pittsburg Senio", "Emperor Element", "Alvarado Elemen", 
#>         "One Hundred Twe", "Corona Senior H", "Sycamore Middle", 
#>         "Larsen (Ansgar)", "Lincoln High (C"), sname = c("Open Magnet: Center for Individual (Char", 
#>         "Belvedere Elementary", "Altadena Elementary", "Soto Street Elementary", 
#>         "Walnut Canyon Elementary", "Atherwood Elementary", "Township Elementary", 
#>         "Thorner (Dr. Juliet) Elementary", "Nicoloff (George) Elementary", 
#>         "Valle Lindo Elementary", "Frisbie Middle", "Rivera (Tomas) Middle", 
#>         "Roosevelt High", "Frick Middle", "Rancho Verde High", 
#>         "Corona Avenue Elementary", "Rosita Elementary", "Cree (Raymond) Middle", 
#>         "Rancho San Joaquin Middle", "Orange Center Elementary", 
#>         "Pine Street Elementary", "Buchser Middle", "Frost (Earl) Elementary", 
#>         "Farmersville High", "Fontana Miller (A.B.) High", "Crocker Highlands Elementary", 
#>         "South Hills High", "Rancho Cotate High", "Kentwood Elementary", 
#>         "La Presa Middle", "San Lorenzo Valley Junior High", 
#>         "Tibby Elementary", "Lowell Elementary", "Centennial Elementary", 
#>         "Marshall Fundamental", "Miramonte Elementary", "Sierra Ridge Middle", 
#>         "Carquinez Middle", "Frazier Mountain High", "Sierra Vista Elementary", 
#>         "Hillview Middle", "Gladstone High", "Highland Ranch Elementary", 
#>         "Overfelt (William C.) High", "Ophir Elementary", "Valley View Elementary", 
#>         "Escalon High", "Everett Middle", "El Portal Middle", 
#>         "Tustin Memorial Elementary", "Johnson (Lloyd G.) Jr. High", 
#>         "Rocky Hill Elementary", "Lassen View Elementary", "Broadacres Avenue Elementary", 
#>         "Kelley Elementary", "Royal High", "Benjamin Franklin Middle", 
#>         "Marston Middle", "Monroe (James) Elementary", "Condor Elementary", 
#>         "Vargas Elementary", "Fairgrove Academy (K-8)", "Bursch Elementary", 
#>         "Doig (Leroy L.) Intermediate", "Muir High", "Faller Elementary", 
#>         "Legette (Earl) Elementary", "Highlands Elementary", 
#>         "Bancroft Elementary", "Mt. Vernon Middle", "La Mesa Jr. High", 
#>         "McKinley Elementary", "Walker Elementary", "Navelencia Middle", 
#>         "Olson (Ione) Elementary", "Dos Palos Elementary", "King (Martin Luther Jr) Middle", 
#>         "Edison Elementary", "Kohn (Frank) Elementary", "Myrtle Avenue Elementary", 
#>         "McKinleyville High", "Mark Twain Elementary", "Stockdale Elementary", 
#>         "Muir (John) Elementary", "Madrone Elementary", "San Diego School of Creative & Performin", 
#>         "Redwood Elementary", "Sinaloa Middle", "El Toro High", 
#>         "Leavenworth (Ann B.) Elementary", "Annalee Avenue Elementary", 
#>         "Clarksburg Elementary", "Monroe Elementary", "Pine Hollow Middle", 
#>         "Merlinda Elementary", "Amador County High", "Lewis (Mary B.) Elementary", 
#>         "Downtown Business High", "Jefferson (Thomas) Middle", 
#>         "Elliott (Brock) Elementary", "Murwood Elementary", "Benton (Reginald M.) Middle", 
#>         "Bloomington High", "Vernon Middle", "Hemlock Elementary", 
#>         "Roosevelt Elementary", "Tamalpais High", "Thornhill Elementary", 
#>         "Brannan (Sam) Middle", "Old Adobe Elementary", "San Clemente High", 
#>         "Fairview Middle", "Summerville High", "King Elementary", 
#>         "Palm Middle", "San Ramon Valley High", "Wilcox Elementary", 
#>         "Cantua Elementary", "Shandin Hills Middle", "McFarland Middle", 
#>         "Ridgeview Elementary", "Lone Pine High", "Meadow Lane Elementary", 
#>         "Norman (Alyce) Elementary", "Evergreen Middle", "Elkhorn Elementary", 
#>         "Lynhaven Elementary", "Haynes Elementary", "Sun Empire Elementary", 
#>         "Santiago High", "Goleta Valley Junior High", "Willowbrook Middle", 
#>         "Foothill High", "Bryant Elementary", "Olive Drive Elementary", 
#>         "Sierra Middle", "El Sereno Elementary", "Delta High", 
#>         "Myra Linn Elementary", "Bryant Middle", "Twain Elementary", 
#>         "Wiltsey (Ray) Middle", "Miller Elementary", "Mira Loma High", 
#>         "Willow Glen High", "College View Elementary", "La Canada High", 
#>         "Rancho Buena Vista High", "Cali Calmecac (Charter #162)", 
#>         "Dominguez High", "Douglass Junior High", "Dunsmore Elementary", 
#>         "Joshua Hills Elementary", "Cabrillo Middle", "Broad Avenue Elementary", 
#>         "Sisson Elementary", "Ralston (Dr. Walter C.) Intermediate", 
#>         "Steinbeck Middle", "Beyer (Fred C.) High", "Franklin (Benjamin) Elementary", 
#>         "Silverado Middle", "Bedell (Thelma B.) Elementary", 
#>         "Trabuco Hills High", "O'Connell (John A.) High", "San Joaquin Elementary", 
#>         "Oak Ridge High", "South San Francisco High", "Hamilton (Alexander) Senior Hi", 
#>         "Antelope Valley High", "Rancho Milpitas Junior High", 
#>         "Pinole Junior High", "Big Pine Elementary", "Washington Middle", 
#>         "Sacramento High", "El Sereno Middle", "Burton (Phillip & Sala) Academic High", 
#>         "Mariposa County High", "Compton High", "Anderson Valley Elementary", 
#>         "Ukiah High", "Workman (James) Middle", "Garfield (James A.) Senior High", 
#>         "Del Lago Elementary", "Meadowbrook Middle", "Laurel Elementary", 
#>         "El Cerrito Elementary", "Santa Susana Elementary", "Fairwood Elementary", 
#>         "Pacific (K-8)", "Santa Susana High", "Machado Elementary", 
#>         "Delano High", "Pittsburg Senior High", "Emperor Elementary", 
#>         "Alvarado Elementary", "One Hundred Twelfth Street Elementary", 
#>         "Corona Senior High", "Sycamore Middle", "Larsen (Ansgar) Elementary", 
#>         "Lincoln High (Char)"), snum = c(2077, 1622, 2236, 1921, 
#>         6140, 6077, 6071, 904, 4637, 4311, 4105, 3607, 627, 215, 
#>         3599, 1678, 3015, 3491, 3237, 725, 861, 5410, 5319, 5947, 
#>         3999, 169, 1247, 5706, 1777, 4398, 5481, 2435, 1502, 
#>         636, 2231, 598, 573, 375, 1043, 5612, 5002, 1149, 4446, 
#>         5237, 3292, 2387, 4785, 4768, 4787, 3225, 354, 5874, 
#>         5511, 1632, 4100, 6055, 4759, 4565, 2995, 4043, 5417, 
#>         2457, 2428, 3001, 2233, 1037, 3839, 411, 402, 2061, 2417, 
#>         5245, 3154, 716, 2755, 2712, 114, 3122, 5903, 980, 783, 
#>         1055, 917, 4830, 5658, 4464, 5482, 2601, 3179, 700, 1606, 
#>         3720, 3525, 418, 2378, 280, 3975, 1555, 1027, 4844, 532, 
#>         2180, 3968, 4074, 4026, 5967, 2617, 208, 3786, 5641, 
#>         2878, 2807, 5976, 688, 4406, 508, 2129, 759, 4172, 1042, 
#>         3283, 864, 5505, 6155, 5843, 2799, 5196, 1760, 753, 3364, 
#>         5162, 2445, 3678, 1475, 999, 4796, 1702, 3718, 3351, 
#>         2711, 1520, 4067, 4352, 3807, 5356, 3074, 1414, 4639, 
#>         5719, 2427, 6173, 1358, 2192, 6098, 1631, 5550, 2999, 
#>         5391, 5762, 1360, 2831, 6052, 3181, 4694, 760, 551, 5076, 
#>         1565, 1132, 5446, 498, 859, 4649, 3732, 2072, 4686, 2625, 
#>         2426, 2631, 2641, 3497, 1563, 3203, 4426, 189, 3030, 
#>         6068, 5421, 4801, 6054, 3563, 938, 448, 2338, 146, 1858, 
#>         3365, 336, 5986, 3324), dname = c("Los Angeles Unified", 
#>         "Los Angeles Unified", "Pasadena Unified", "Los Angeles Unified", 
#>         "Moorpark Unified", "Simi Valley Unified", "Simi Valley Unified", 
#>         "Bakersfield City Elem", "South Bay Union Elem", "Chula Vista Elementary", 
#>         "Rialto Unified", "Val Verde Unified", "Fresno Unified", 
#>         "Oakland Unified", "Val Verde Unified", "Los Angeles Unified", 
#>         "Garden Grove Unified", "Palm Springs Unified", "Irvine Unified", 
#>         "Orange Center Elementary", "Bishop Union Elementary", 
#>         "Santa Clara Unified", "Oak Grove Elementary", "Farmersville Unified", 
#>         "Fontana Unified", "Oakland Unified", "Covina-Valley Unified", 
#>         "Cotati-Rohnert Park Unif", "Los Angeles Unified", "La Mesa-Spring Valley", 
#>         "San Lorenzo Valley Unif", "Compton Unified", "Long Beach Unified", 
#>         "Fresno Unified", "Pasadena Unified", "Clovis Unified", 
#>         "Pollock Pines Elementary", "John Swett Unified", "El Tejon Unified", 
#>         "Vacaville Unified", "Menlo Park City Elem", "Azusa Unified", 
#>         "Poway Unified", "East Side Union High", "Ophir Elementary", 
#>         "Westside Union Elem", "Escalon Unified", "San Francisco Unified", 
#>         "Escalon Unified", "Tustin Unified", "Pierce Joint Unified", 
#>         "Exeter Union Elementary", "Enterprise Elementary", "Los Angeles Unified", 
#>         "Rialto Unified", "Simi Valley Unified", "San Francisco Unified", 
#>         "San Diego City Unified", "Garden Grove Unified", "Morongo Unified", 
#>         "Sunnyvale Elementary", "Hacienda la Puente Unif", "Compton Unified", 
#>         "Garden Grove Unified", "Pasadena Unified", "Sierra Sands Unified", 
#>         "San Juan Unified", "Mt. Diablo Unified", "Mt. Diablo Unified", 
#>         "Los Angeles Unified", "William S. Hart High", "Franklin-McKinley Elem", 
#>         "Santa Ana Unified", "Kings Canyon Unified", "Monterey Peninsula Unif.", 
#>         "Dos Palos Oro Loma Unif", "Hayward Unified", "Santa Ana Unified", 
#>         "Tulare City Elementary", "Lamont Elementary", "Northern Humboldt High", 
#>         "Corcoran Joint Unified", "Panama Buena Vista Elem", 
#>         "Lodi Unified", "Rincon Valley Union Elem", "San Diego City Unified", 
#>         "San Lorenzo Valley Unif", "Novato Unified", "Saddleback Valley Unif", 
#>         "Fresno Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>         "Riverside Unified", "Mt. Diablo Unified", "West Covina Unified", 
#>         "Amador County Unified", "Colton Joint Unified", "Los Angeles Unified", 
#>         "Wasco Union Elementary", "Manteca Unified", "Walnut Creek Elementary", 
#>         "Norwalk-La Mirada Unif", "Colton Joint Unified", "Ontario-Montclair Elem", 
#>         "Fontana Unified", "Dinuba Unified", "Tamalpais Union High", 
#>         "Oakland Unified", "Sacramento City Unified", "Old Adobe Union Elem", 
#>         "Capistrano Unified", "Gonzales Unified", "Summerville Union High", 
#>         "Fresno Unified", "Lemon Grove Elementary", "San Ramon Valley Unified", 
#>         "Montebello Unified", "Golden Plains Unified", "San Bernardino City Unif", 
#>         "McFarland Unified", "Eureka Union Elementary", "Lone Pine Unified", 
#>         "Cascade Union Elementary", "Washington Unified", "Evergreen Union Elem", 
#>         "North Monterey Co Unif", "Campbell Union Elem", "Los Angeles Unified", 
#>         "Kerman Unified", "Corona-Norco Unified", "Santa Barbara High", 
#>         "Compton Unified", "Grant Joint Union High", "Long Beach Unified", 
#>         "Norris Elementary", "Lincoln Unified", "Los Angeles Unified", 
#>         "River Delta Joint Unif", "Alvord Unified", "Dos Palos Oro Loma Unif", 
#>         "Long Beach Unified", "Ontario-Montclair Elem", "Escondido Union Elem", 
#>         "San Juan Unified", "San Jose Unified", "Ocean View Elementary", 
#>         "La Canada Unified", "Vista Unified", "Windsor Unified", 
#>         "Compton Unified", "Woodland Joint Unified", "Glendale Unified", 
#>         "Palmdale Elementary", "Ventura Unified", "Los Angeles Unified", 
#>         "Mt. Shasta Union Elem", "Garden Grove Unified", "San Jose Unified", 
#>         "Modesto City High", "Glendale Unified", "Napa Valley Unified", 
#>         "Santa Paula Elementary", "Saddleback Valley Unif", "San Francisco Unified", 
#>         "Golden Plains Unified", "El Dorado Union High", "South San Francisco Unif", 
#>         "Los Angeles Unified", "Antelope Valley High", "Milpitas Unified", 
#>         "West Contra Costa Unified", "Big Pine Unified", "Vista Unified", 
#>         "Sacramento City Unified", "Los Angeles Unified", "San Francisco Unified", 
#>         "Mariposa County Unified", "Compton Unified", "Anderson Valley Unified", 
#>         "Ukiah Unified", "Palm Springs Unified", "Los Angeles Unified", 
#>         "Saddleback Valley Unif", "Poway Unified", "Oakland Unified", 
#>         "La Habra City Elementary", "Simi Valley Unified", "Sunnyvale Elementary", 
#>         "Lincoln Unified", "Simi Valley Unified", "Lake Elsinore Unified", 
#>         "Delano Joint Union High", "Pittsburg Unified", "Temple City Unified", 
#>         "New Haven Unified", "Los Angeles Unified", "Corona-Norco Unified", 
#>         "Gridley Unified", "Hueneme Elementary", "Western Placer Unified"
#>         ), dnum = c(401L, 401L, 541L, 401L, 460L, 689L, 689L, 
#>         41L, 702L, 135L, 590L, 767L, 253L, 507L, 767L, 401L, 
#>         259L, 531L, 316L, 515L, 69L, 656L, 501L, 233L, 238L, 
#>         507L, 162L, 160L, 401L, 351L, 639L, 153L, 395L, 253L, 
#>         541L, 140L, 569L, 324L, 208L, 766L, 439L, 40L, 575L, 
#>         196L, 514L, 806L, 215L, 632L, 215L, 756L, 550L, 226L, 
#>         214L, 401L, 590L, 689L, 632L, 630L, 259L, 465L, 725L, 
#>         284L, 153L, 259L, 541L, 685L, 636L, 473L, 473L, 401L, 
#>         813L, 247L, 653L, 339L, 459L, 185L, 294L, 653L, 751L, 
#>         364L, 497L, 155L, 537L, 390L, 596L, 630L, 639L, 499L, 
#>         621L, 253L, 401L, 602L, 605L, 473L, 797L, 20L, 148L, 
#>         401L, 784L, 419L, 781L, 498L, 148L, 513L, 238L, 182L, 
#>         735L, 507L, 620L, 512L, 108L, 273L, 722L, 253L, 376L, 
#>         650L, 457L, 270L, 627L, 432L, 223L, 394L, 114L, 787L, 
#>         225L, 495L, 105L, 401L, 333L, 158L, 655L, 153L, 275L, 
#>         395L, 492L, 382L, 401L, 602L, 19L, 185L, 395L, 513L, 
#>         216L, 636L, 635L, 509L, 348L, 780L, 819L, 153L, 825L, 
#>         266L, 532L, 774L, 401L, 475L, 259L, 635L, 450L, 266L, 
#>         478L, 662L, 621L, 632L, 270L, 202L, 706L, 401L, 27L, 
#>         448L, 796L, 64L, 780L, 620L, 401L, 632L, 423L, 153L, 
#>         25L, 760L, 531L, 401L, 621L, 575L, 507L, 349L, 689L, 
#>         725L, 382L, 689L, 358L, 176L, 554L, 738L, 484L, 401L, 
#>         158L, 279L, 308L, 802L), cname = c("Los Angeles", "Los Angeles", 
#>         "Los Angeles", "Los Angeles", "Ventura", "Ventura", "Ventura", 
#>         "Kern", "San Diego", "San Diego", "San Bernardino", "Riverside", 
#>         "Fresno", "Alameda", "Riverside", "Los Angeles", "Orange", 
#>         "Riverside", "Orange", "Fresno", "Inyo", "Santa Clara", 
#>         "Santa Clara", "Tulare", "San Bernardino", "Alameda", 
#>         "Los Angeles", "Sonoma", "Los Angeles", "San Diego", 
#>         "Santa Cruz", "Los Angeles", "Los Angeles", "Fresno", 
#>         "Los Angeles", "Fresno", "El Dorado", "Contra Costa", 
#>         "Kern", "Solano", "San Mateo", "Los Angeles", "San Diego", 
#>         "Santa Clara", "Placer", "Los Angeles", "San Joaquin", 
#>         "San Francisco", "San Joaquin", "Orange", "Colusa", "Tulare", 
#>         "Shasta", "Los Angeles", "San Bernardino", "Ventura", 
#>         "San Francisco", "San Diego", "Orange", "San Bernardino", 
#>         "Santa Clara", "Los Angeles", "Los Angeles", "Orange", 
#>         "Los Angeles", "Kern", "Sacramento", "Contra Costa", 
#>         "Contra Costa", "Los Angeles", "Los Angeles", "Santa Clara", 
#>         "Orange", "Fresno", "Monterey", "Merced", "Alameda", 
#>         "Orange", "Tulare", "Kern", "Humboldt", "Kings", "Kern", 
#>         "San Joaquin", "Sonoma", "San Diego", "Santa Cruz", "Marin", 
#>         "Orange", "Fresno", "Los Angeles", "Sacramento", "Riverside", 
#>         "Contra Costa", "Los Angeles", "Amador", "San Bernardino", 
#>         "Los Angeles", "Kern", "San Joaquin", "Contra Costa", 
#>         "Los Angeles", "San Bernardino", "San Bernardino", "San Bernardino", 
#>         "Tulare", "Marin", "Alameda", "Sacramento", "Sonoma", 
#>         "Orange", "Monterey", "Tuolumne", "Fresno", "San Diego", 
#>         "Contra Costa", "Los Angeles", "Fresno", "San Bernardino", 
#>         "Kern", "Placer", "Inyo", "Shasta", "Yolo", "Tehama", 
#>         "Monterey", "Santa Clara", "Los Angeles", "Fresno", "Riverside", 
#>         "Santa Barbara", "Los Angeles", "Sacramento", "Los Angeles", 
#>         "Kern", "San Joaquin", "Los Angeles", "Sacramento", "Riverside", 
#>         "Merced", "Los Angeles", "San Bernardino", "San Diego", 
#>         "Sacramento", "Santa Clara", "Orange", "Los Angeles", 
#>         "San Diego", "Sonoma", "Los Angeles", "Yolo", "Los Angeles", 
#>         "Los Angeles", "Ventura", "Los Angeles", "Siskiyou", 
#>         "Orange", "Santa Clara", "Stanislaus", "Los Angeles", 
#>         "Napa", "Ventura", "Orange", "San Francisco", "Fresno", 
#>         "El Dorado", "San Mateo", "Los Angeles", "Los Angeles", 
#>         "Santa Clara", "Contra Costa", "Inyo", "San Diego", "Sacramento", 
#>         "Los Angeles", "San Francisco", "Mariposa", "Los Angeles", 
#>         "Mendocino", "Mendocino", "Riverside", "Los Angeles", 
#>         "Orange", "San Diego", "Alameda", "Orange", "Ventura", 
#>         "Santa Clara", "San Joaquin", "Ventura", "Riverside", 
#>         "Kern", "Contra Costa", "Los Angeles", "Alameda", "Los Angeles", 
#>         "Riverside", "Butte", "Ventura", "Placer"), cnum = c(18L, 
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#>         29L, 35L, 42L, 18L, 18L, 29L, 18L, 14L, 33L, 6L, 6L, 
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#>         36L, 48L, 18L, 56L, 18L, 18L, 55L, 18L, 46L, 29L, 42L, 
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#>         32L, 18L, 29L, 36L, 1L, 29L, 55L, 42L, 38L, 55L, 32L, 
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#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_), 
#>         pcttest = c(99L, 100L, 99L, 100L, 100L, 100L, 99L, 98L, 
#>         100L, 100L, 99L, 99L, 93L, 95L, 95L, 100L, 98L, 100L, 
#>         95L, 100L, 100L, 98L, 100L, 99L, 99L, 100L, 98L, 98L, 
#>         100L, 99L, 99L, 100L, 100L, 100L, 97L, 100L, 100L, 99L, 
#>         100L, 100L, 100L, 99L, 99L, 100L, 100L, 99L, 99L, 90L, 
#>         100L, 99L, 96L, 98L, 100L, 99L, 100L, 98L, 66L, 99L, 
#>         83L, 98L, 100L, 100L, 88L, 99L, 92L, 100L, 99L, 98L, 
#>         100L, 98L, 99L, 99L, 100L, 100L, 100L, 89L, 100L, 100L, 
#>         100L, 97L, 97L, 98L, 99L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 99L, 100L, 100L, 99L, 99L, 99L, 97L, 99L, 98L, 97L, 
#>         100L, 99L, 100L, 100L, 96L, 99L, 99L, 97L, 96L, 100L, 
#>         98L, 90L, 100L, 97L, 98L, 100L, 98L, 99L, 100L, 99L, 
#>         99L, 99L, 99L, 100L, 99L, 97L, 100L, 98L, 98L, 100L, 
#>         99L, 100L, 100L, 97L, 99L, 99L, 100L, 95L, 100L, 97L, 
#>         100L, 99L, 98L, 100L, 96L, 98L, 100L, 97L, 100L, 100L, 
#>         100L, 99L, 100L, 99L, 99L, 98L, 100L, 99L, 98L, 97L, 
#>         100L, 98L, 99L, 99L, 86L, 100L, 96L, 90L, 96L, 93L, 99L, 
#>         100L, 98L, 98L, 90L, 100L, 89L, 99L, 79L, 97L, 99L, 100L, 
#>         100L, 100L, 99L, 100L, 100L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 98L, 100L, 99L, 95L, 100L, 99L, 99L, 100L), api00 = c(840L, 
#>         516L, 531L, 501L, 720L, 805L, 778L, 731L, 592L, 669L, 
#>         496L, 505L, 467L, 409L, 522L, 497L, 638L, 609L, 867L, 
#>         534L, 705L, 685L, 761L, 455L, 509L, 771L, 681L, 666L, 
#>         751L, 647L, 745L, 474L, 832L, 559L, 582L, 765L, 694L, 
#>         676L, 641L, 744L, 870L, 510L, 865L, 527L, 782L, 745L, 
#>         681L, 500L, 679L, 892L, 552L, 619L, 616L, 703L, 509L, 
#>         724L, 559L, 650L, 806L, 759L, 740L, 642L, 565L, 565L, 
#>         525L, 726L, 863L, 765L, 893L, 443L, 774L, 398L, 539L, 
#>         668L, 776L, 580L, 581L, 503L, 724L, 476L, 712L, 529L, 
#>         870L, 746L, 836L, 680L, 756L, 878L, 784L, 423L, 588L, 
#>         606L, 632L, 753L, 651L, 743L, 553L, 593L, 528L, 676L, 
#>         861L, 678L, 518L, 535L, 588L, 597L, 770L, 884L, 667L, 
#>         819L, 721L, 534L, 713L, 542L, 648L, 816L, 509L, 493L, 
#>         551L, 485L, 893L, 641L, 709L, 596L, 765L, 609L, 671L, 
#>         720L, 669L, 667L, 743L, 403L, 610L, 650L, 836L, 695L, 
#>         542L, 618L, 578L, 551L, 814L, 467L, 777L, 717L, 610L, 
#>         719L, 868L, 678L, 617L, 418L, 669L, 856L, 723L, 773L, 
#>         609L, 780L, 693L, 635L, 712L, 676L, 660L, 668L, 784L, 
#>         472L, 421L, 764L, 646L, 585L, 556L, 733L, 657L, 667L, 
#>         606L, 600L, 522L, 599L, 706L, 409L, 631L, 635L, 601L, 
#>         477L, 845L, 819L, 631L, 696L, 714L, 788L, 667L, 710L, 
#>         568L, 453L, 546L, 847L, 679L, 477L, 646L, 627L, 521L, 
#>         624L), api99 = c(816L, 476L, 544L, 457L, 659L, 780L, 
#>         787L, 731L, 508L, 658L, 479L, 499L, 460L, 406L, 532L, 
#>         440L, 572L, 564L, 816L, 478L, 685L, 657L, 739L, 403L, 
#>         504L, 755L, 673L, 690L, 687L, 642L, 707L, 449L, 835L, 
#>         525L, 589L, 740L, 679L, 641L, 620L, 701L, 863L, 485L, 
#>         858L, 523L, 780L, 691L, 665L, 491L, 677L, 854L, 475L, 
#>         559L, 575L, 652L, 470L, 670L, 554L, 621L, 803L, 726L, 
#>         703L, 579L, 526L, 556L, 495L, 689L, 848L, 703L, 845L, 
#>         436L, 787L, 401L, 500L, 603L, 728L, 554L, 563L, 442L, 
#>         673L, 409L, 694L, 478L, 852L, 723L, 798L, 657L, 766L, 
#>         874L, 760L, 403L, 538L, 566L, 568L, 696L, 595L, 750L, 
#>         499L, 595L, 524L, 678L, 856L, 669L, 535L, 495L, 533L, 
#>         527L, 817L, 867L, 633L, 801L, 737L, 529L, 631L, 524L, 
#>         621L, 812L, 495L, 420L, 491L, 430L, 890L, 660L, 584L, 
#>         583L, 713L, 524L, 641L, 637L, 536L, 698L, 739L, 384L, 
#>         634L, 631L, 772L, 651L, 497L, 570L, 535L, 471L, 783L, 
#>         455L, 750L, 694L, 592L, 671L, 858L, 680L, 562L, 383L, 
#>         650L, 854L, 671L, 732L, 541L, 774L, 688L, 578L, 709L, 
#>         616L, 622L, 575L, 744L, 497L, 398L, 760L, 636L, 606L, 
#>         545L, 703L, 627L, 607L, 575L, 580L, 509L, 574L, 726L, 
#>         410L, 639L, 625L, 574L, 484L, 799L, 790L, 646L, 642L, 
#>         672L, 747L, 601L, 706L, 504L, 447L, 524L, 814L, 664L, 
#>         424L, 620L, 597L, 500L, 609L), target = c(NA, 16L, 13L, 
#>         17L, 7L, 1L, 1L, 3L, 15L, 7L, 16L, 15L, 17L, 20L, 13L, 
#>         18L, 11L, 12L, NA, 16L, 6L, 7L, 3L, 20L, 15L, 2L, 6L, 
#>         6L, 6L, 8L, 5L, 18L, NA, 14L, 11L, 3L, 6L, 8L, 9L, 5L, 
#>         NA, 16L, NA, 14L, 1L, 5L, 7L, 15L, 6L, NA, 16L, 12L, 
#>         11L, 7L, 17L, 7L, 12L, 9L, NA, 4L, 5L, 11L, 14L, 12L, 
#>         15L, 6L, NA, 5L, NA, 18L, 1L, 20L, 15L, 10L, 4L, 12L, 
#>         12L, 18L, 6L, 20L, 5L, 16L, NA, 4L, 1L, 7L, 2L, NA, 2L, 
#>         20L, 13L, 12L, 12L, 5L, 10L, 3L, 15L, 10L, 14L, 6L, NA, 
#>         7L, 13L, 15L, 13L, 14L, NA, NA, 8L, NA, 3L, 14L, 8L, 
#>         14L, 9L, NA, 15L, 19L, 15L, 19L, NA, 7L, 11L, 11L, 4L, 
#>         14L, 8L, 8L, 13L, 5L, 3L, 21L, 8L, 8L, 1L, 7L, 15L, 12L, 
#>         13L, 16L, 1L, 17L, 3L, 5L, 10L, 6L, NA, 6L, 12L, 21L, 
#>         8L, NA, 6L, 3L, 13L, 1L, 6L, 11L, 5L, 9L, 9L, 11L, 3L, 
#>         15L, 20L, 2L, 8L, 10L, 13L, 5L, 9L, 10L, 11L, 11L, 15L, 
#>         11L, 4L, 20L, 8L, 9L, 11L, 16L, 1L, 1L, 8L, 8L, 6L, 3L, 
#>         10L, 5L, 15L, 18L, 14L, NA, 7L, 19L, 9L, 10L, 15L, 10L
#>         ), growth = c(24L, 40L, -13L, 44L, 61L, 25L, -9L, 0L, 
#>         84L, 11L, 17L, 6L, 7L, 3L, -10L, 57L, 66L, 45L, 51L, 
#>         56L, 20L, 28L, 22L, 52L, 5L, 16L, 8L, -24L, 64L, 5L, 
#>         38L, 25L, -3L, 34L, -7L, 25L, 15L, 35L, 21L, 43L, 7L, 
#>         25L, 7L, 4L, 2L, 54L, 16L, 9L, 2L, 38L, 77L, 60L, 41L, 
#>         51L, 39L, 54L, 5L, 29L, 3L, 33L, 37L, 63L, 39L, 9L, 30L, 
#>         37L, 15L, 62L, 48L, 7L, -13L, -3L, 39L, 65L, 48L, 26L, 
#>         18L, 61L, 51L, 67L, 18L, 51L, 18L, 23L, 38L, 23L, -10L, 
#>         4L, 24L, 20L, 50L, 40L, 64L, 57L, 56L, -7L, 54L, -2L, 
#>         4L, -2L, 5L, 9L, -17L, 40L, 55L, 70L, -47L, 17L, 34L, 
#>         18L, -16L, 5L, 82L, 18L, 27L, 4L, 14L, 73L, 60L, 55L, 
#>         3L, -19L, 125L, 13L, 52L, 85L, 30L, 83L, 133L, -31L, 
#>         4L, 19L, -24L, 19L, 64L, 44L, 45L, 48L, 43L, 80L, 31L, 
#>         12L, 27L, 23L, 18L, 48L, 10L, -2L, 55L, 35L, 19L, 2L, 
#>         52L, 41L, 68L, 6L, 5L, 57L, 3L, 60L, 38L, 93L, 40L, -25L, 
#>         23L, 4L, 10L, -21L, 11L, 30L, 30L, 60L, 31L, 20L, 13L, 
#>         25L, -20L, -1L, -8L, 10L, 27L, -7L, 46L, 29L, -15L, 54L, 
#>         42L, 41L, 66L, 4L, 64L, 6L, 22L, 33L, 15L, 53L, 26L, 
#>         30L, 21L, 15L), sch.wide = c(2L, 2L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), comp.imp = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), both = c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), awards = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), meals = c(33L, 98L, 64L, 83L, 26L, 7L, 9L, 
#>         45L, 75L, 47L, 69L, 60L, 66L, 54L, 35L, 95L, 75L, 47L, 
#>         6L, 93L, 38L, 32L, 24L, 89L, 44L, 15L, 18L, 9L, 35L, 
#>         60L, 13L, 98L, 25L, 78L, 63L, 54L, 21L, 24L, 23L, 34L, 
#>         2L, 31L, 4L, 37L, 14L, 31L, 20L, 59L, 31L, 6L, 66L, 58L, 
#>         71L, 67L, 75L, 15L, 78L, 64L, 40L, 36L, 42L, 69L, 99L, 
#>         75L, 51L, 45L, 14L, 13L, 7L, 79L, 4L, 83L, 92L, 51L, 
#>         25L, 74L, 52L, 95L, 51L, 96L, 3L, 74L, 7L, 20L, 24L, 
#>         50L, 20L, 4L, 8L, 100L, 61L, 48L, 51L, 17L, 56L, 12L, 
#>         80L, 72L, 77L, 18L, 10L, 18L, 39L, 64L, 54L, 76L, 1L, 
#>         6L, 45L, 11L, 9L, 72L, 19L, 100L, 47L, 1L, 72L, 97L, 
#>         67L, 85L, 1L, 6L, 77L, 83L, 52L, 42L, 38L, 39L, 100L, 
#>         19L, 19L, 99L, 34L, 78L, 10L, 36L, 98L, 23L, 69L, 66L, 
#>         28L, 73L, 25L, 29L, 31L, 33L, 0L, 21L, 49L, 100L, 24L, 
#>         4L, 46L, 24L, 82L, 29L, 46L, 44L, 5L, 76L, 36L, 43L, 
#>         5L, 20L, 98L, 1L, 20L, 23L, 33L, 33L, 24L, 41L, 57L, 
#>         36L, 91L, 21L, 13L, 98L, 67L, 23L, 38L, 86L, 14L, 13L, 
#>         74L, 72L, 45L, 39L, 38L, 8L, 69L, 47L, 38L, 34L, 36L, 
#>         98L, 36L, 56L, 88L, 28L), ell = c(25L, 77L, 23L, 63L, 
#>         17L, 0L, 2L, 2L, 58L, 23L, 25L, 10L, 43L, 26L, 7L, 66L, 
#>         73L, 20L, 16L, 39L, 6L, 18L, 6L, 59L, 18L, 3L, 3L, 5L, 
#>         7L, 23L, 1L, 17L, 10L, 27L, 22L, 18L, 0L, 14L, 0L, 2L, 
#>         2L, 30L, 7L, 37L, 0L, 3L, 4L, 46L, 13L, 3L, 42L, 20L, 
#>         11L, 0L, 32L, 8L, 27L, 27L, 43L, 3L, 37L, 22L, 35L, 62L, 
#>         17L, 8L, 1L, 3L, 4L, 37L, 4L, 70L, 80L, 15L, 10L, 22L, 
#>         33L, 73L, 3L, 38L, 0L, 9L, 2L, 11L, 3L, 5L, 0L, 2L, 7L, 
#>         62L, 1L, 28L, 18L, 5L, 25L, 0L, 33L, 21L, 32L, 1L, 7L, 
#>         13L, 22L, 46L, 24L, 18L, 1L, 8L, 16L, 10L, 7L, 50L, 0L, 
#>         40L, 14L, 1L, 37L, 84L, 17L, 33L, 1L, 6L, 2L, 32L, 1L, 
#>         28L, 22L, 20L, 50L, 6L, 17L, 5L, 11L, 33L, 1L, 14L, 66L, 
#>         17L, 41L, 12L, 9L, 54L, 8L, 16L, 24L, 17L, 2L, 5L, 50L, 
#>         24L, 18L, 19L, 12L, 6L, 33L, 0L, 33L, 28L, 4L, 51L, 8L, 
#>         5L, 3L, 25L, 69L, 0L, 10L, 16L, 6L, 29L, 10L, 7L, 15L, 
#>         21L, 34L, 18L, 0L, 49L, 59L, 10L, 0L, 34L, 4L, 6L, 45L, 
#>         50L, 21L, 22L, 14L, 3L, 34L, 37L, 8L, 12L, 39L, 56L, 
#>         14L, 6L, 69L, 4L), yr.rnd = c(1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), mobility = c(11L, 
#>         26L, 17L, 13L, 31L, 12L, 10L, 15L, 23L, 19L, 26L, 22L, 
#>         16L, 44L, 18L, 18L, 12L, 8L, 17L, 20L, 8L, 6L, 15L, 10L, 
#>         13L, 11L, 12L, 9L, 9L, 18L, 6L, 31L, 16L, 20L, 13L, 23L, 
#>         17L, 17L, 9L, 18L, 8L, 12L, 17L, 17L, 15L, 22L, 4L, 13L, 
#>         9L, 13L, 15L, 9L, 24L, 15L, 32L, 10L, 12L, 22L, 15L, 
#>         38L, 21L, 21L, 18L, 11L, 12L, 38L, 18L, 16L, 16L, 16L, 
#>         9L, 17L, 27L, 9L, 12L, 12L, 8L, 17L, 16L, 8L, 7L, 5L, 
#>         20L, 26L, 16L, 14L, 14L, 3L, 8L, 22L, 20L, 7L, 19L, 8L, 
#>         19L, 8L, 25L, 12L, 4L, 14L, 12L, 20L, 9L, 26L, 17L, 17L, 
#>         6L, 8L, 22L, 12L, 6L, 17L, 6L, 21L, 16L, 6L, 16L, 6L, 
#>         46L, 7L, 8L, 8L, 20L, 23L, 13L, 15L, 18L, 29L, 17L, 55L, 
#>         6L, 19L, 19L, 21L, 17L, 13L, 23L, 7L, 38L, 12L, 14L, 
#>         13L, 13L, 21L, 10L, 16L, 4L, 10L, 9L, 72L, 10L, 17L, 
#>         99L, 12L, 41L, 16L, 12L, 19L, 10L, 9L, 15L, 13L, 12L, 
#>         15L, 23L, 4L, 8L, 12L, 14L, 11L, 22L, 11L, 15L, 15L, 
#>         9L, 1L, 8L, 12L, 12L, 96L, 18L, 6L, 12L, 10L, 11L, 26L, 
#>         13L, 11L, 20L, 11L, 25L, 7L, 22L, 13L, 13L, 22L, 12L, 
#>         10L, 6L, 6L), acs.k3 = c(20L, 19L, 20L, 17L, 20L, 19L, 
#>         19L, 19L, 20L, 18L, NA, NA, NA, NA, NA, 19L, 22L, NA, 
#>         NA, 18L, 20L, NA, 19L, NA, NA, 20L, NA, NA, 16L, NA, 
#>         NA, 20L, 20L, 18L, NA, 21L, NA, NA, NA, 19L, NA, NA, 
#>         19L, NA, 16L, 18L, NA, NA, NA, 20L, NA, 19L, 20L, 18L, 
#>         19L, NA, NA, NA, 20L, 18L, 19L, 21L, 20L, NA, NA, 19L, 
#>         20L, 21L, 20L, NA, NA, 20L, 20L, NA, 19L, 19L, NA, 22L, 
#>         18L, NA, NA, NA, 19L, 20L, 18L, NA, 19L, NA, NA, 19L, 
#>         16L, 18L, 19L, NA, 20L, NA, 20L, NA, NA, 18L, 19L, NA, 
#>         NA, NA, 19L, 20L, NA, 19L, NA, 19L, NA, NA, NA, 19L, 
#>         NA, NA, 20L, 17L, NA, NA, NA, NA, 18L, 20L, NA, 20L, 
#>         20L, 18L, 18L, NA, NA, NA, NA, 19L, 18L, NA, 19L, NA, 
#>         20L, NA, 20L, NA, 20L, NA, NA, 19L, NA, NA, 20L, NA, 
#>         NA, 18L, 18L, NA, 19L, NA, NA, NA, NA, 18L, NA, 19L, 
#>         NA, NA, 20L, NA, NA, NA, NA, NA, NA, 17L, NA, NA, NA, 
#>         NA, NA, NA, 19L, NA, NA, NA, 19L, NA, 19L, 18L, 18L, 
#>         19L, 24L, NA, 20L, NA, NA, 20L, 20L, 19L, NA, NA, 20L, 
#>         NA), acs.46 = c(29L, 28L, 30L, 30L, 30L, 29L, 31L, 31L, 
#>         32L, 29L, 32L, 32L, NA, 32L, NA, 30L, 30L, 32L, NA, 23L, 
#>         31L, 33L, 32L, NA, NA, 28L, NA, NA, 24L, 31L, NA, 31L, 
#>         34L, 27L, 34L, 33L, 24L, 25L, NA, 28L, 26L, NA, 27L, 
#>         NA, 22L, 30L, NA, 26L, 30L, 26L, NA, 28L, 29L, 29L, 34L, 
#>         NA, 23L, 26L, 30L, 22L, 29L, 32L, 29L, NA, NA, 30L, 46L, 
#>         30L, 30L, 28L, NA, 29L, 30L, 28L, 22L, NA, NA, 31L, 29L, 
#>         27L, NA, 28L, 29L, 30L, 28L, 25L, 29L, 28L, NA, 28L, 
#>         26L, 26L, 31L, 30L, 31L, NA, 30L, NA, NA, 30L, 26L, 38L, 
#>         NA, 30L, 30L, 27L, NA, 29L, NA, 28L, NA, 28L, NA, 33L, 
#>         28L, NA, 30L, 25L, 30L, 21L, 25L, NA, 24L, 31L, 25L, 
#>         28L, 28L, 28L, 27L, NA, NA, 34L, NA, 32L, 27L, NA, 28L, 
#>         NA, 31L, 27L, 33L, NA, 31L, NA, NA, 30L, NA, NA, 23L, 
#>         NA, NA, 30L, 30L, 32L, 27L, 28L, NA, 28L, NA, 29L, NA, 
#>         26L, NA, NA, 23L, NA, NA, NA, NA, NA, NA, 20L, 30L, NA, 
#>         28L, NA, NA, NA, 23L, NA, 33L, NA, 30L, 29L, 30L, NA, 
#>         28L, 26L, 24L, NA, 28L, NA, NA, 31L, 31L, 28L, NA, 36L, 
#>         32L, NA), acs.core = c(NA, NA, NA, NA, NA, NA, NA, NA, 
#>         NA, NA, 30L, 32L, 27L, 29L, 28L, NA, NA, 34L, 30L, 21L, 
#>         NA, 28L, NA, 26L, 32L, NA, 28L, 27L, NA, 30L, 28L, NA, 
#>         NA, NA, 29L, NA, 29L, 24L, 25L, NA, 27L, 27L, NA, 27L, 
#>         NA, NA, 28L, 23L, 28L, NA, 27L, NA, NA, NA, NA, 31L, 
#>         23L, 29L, NA, NA, NA, 30L, NA, 27L, 26L, NA, NA, NA, 
#>         NA, 24L, 27L, NA, NA, 26L, NA, NA, 28L, NA, NA, NA, 22L, 
#>         NA, NA, NA, NA, 25L, NA, 28L, 28L, NA, NA, NA, NA, 29L, 
#>         NA, 25L, NA, 25L, 27L, 29L, NA, NA, 30L, 27L, NA, NA, 
#>         23L, NA, 27L, NA, 29L, 27L, 24L, NA, 29L, 29L, NA, 25L, 
#>         31L, 25L, NA, 21L, NA, NA, 23L, NA, NA, NA, NA, 29L, 
#>         28L, 35L, 27L, NA, NA, 31L, NA, 20L, NA, 22L, NA, 29L, 
#>         NA, 35L, 26L, NA, 31L, 29L, 25L, 32L, 28L, NA, NA, 30L, 
#>         NA, 28L, 29L, 26L, 33L, NA, 27L, NA, 28L, 15L, 28L, 27L, 
#>         27L, 26L, 28L, 30L, 30L, 19L, 31L, 27L, 24L, 26L, 29L, 
#>         29L, NA, 25L, 32L, 27L, NA, 29L, NA, NA, NA, NA, NA, 
#>         28L, NA, 28L, 26L, NA, NA, NA, 29L, 26L, NA, 24L), pct.resp = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 87L, 67L, 50L, 
#>         70L, 71L, 2L, 91L, 0L, 100L, 90L, 83L, 86L, 98L, 5L, 
#>         72L, 100L, 84L, 80L, 100L, 96L, 77L, 90L, 57L, 0L, 94L, 
#>         91L, 89L, 98L, 100L, 94L, 92L, 100L, 74L, 72L, 84L, 94L, 
#>         66L, 97L, 82L, 100L, 87L, 77L, 71L, 5L, 3L, 70L, 86L, 
#>         50L, 96L, 99L, 90L, 42L, 93L, 1L, 97L, 90L, 47L, 84L, 
#>         55L, 85L, 51L, 62L, 0L, 62L, 96L, 54L, 62L, 95L, 99L, 
#>         95L, 93L, 100L, 91L, 96L, 73L, 84L, 98L, 91L, 64L, 24L, 
#>         38L, 85L, 94L, 99L, 96L, 89L, 72L, 77L, 100L, 96L, 89L, 
#>         77L, 97L, 6L, 85L, 56L, 94L, 79L, 100L, 88L, 76L, 94L, 
#>         88L, 99L, 69L, 77L, 86L, 73L, 55L, 100L, 97L, 91L, 98L, 
#>         87L, 61L, 95L, 85L, 95L, 92L, 1L, 49L, 82L, 80L, 95L, 
#>         99L, 12L, 58L, 96L, 82L, 78L, 95L, 2L, 76L, 91L, 97L, 
#>         93L, 96L, 61L, 67L, 82L, 88L, 73L, 92L, 88L, 95L, 74L, 
#>         87L, 96L, 88L, 96L, 93L, 89L, 28L, 91L, 96L, 91L, 63L, 
#>         85L, 98L, 91L, 66L, 89L, 77L, 43L, 86L, 82L, 68L, 87L, 
#>         86L, 87L, 84L, 82L, 99L, 59L, 98L, 1L, 88L, 97L, 0L, 
#>         99L, 74L, 8L, 100L, 88L, 5L, 96L, 93L, 97L, 93L), not.hsg = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 31L, 49L, 12L, 
#>         20L, 45L, 9L, 22L, 0L, 60L, 5L, 10L, 2L, 58L, 28L, 1L, 
#>         6L, 5L, 2L, 20L, 1L, 21L, 5L, 20L, 0L, 17L, 4L, 9L, 8L, 
#>         11L, 2L, 36L, 1L, 42L, 3L, 5L, 15L, 26L, 17L, 0L, 53L, 
#>         31L, 11L, 1L, 28L, 11L, 30L, 21L, 6L, 2L, 11L, 13L, 31L, 
#>         55L, 17L, 9L, 0L, 2L, 0L, 32L, 2L, 56L, 56L, 0L, 34L, 
#>         30L, 15L, 51L, 18L, 64L, 6L, 26L, 6L, 6L, 3L, 3L, 1L, 
#>         2L, 4L, 49L, 0L, 14L, 21L, 3L, 17L, 2L, 35L, 36L, 40L, 
#>         4L, 5L, 10L, 27L, 37L, 28L, 18L, 2L, 2L, 11L, 10L, 6L, 
#>         37L, 2L, 43L, 12L, 1L, 22L, 75L, 22L, 48L, 0L, 13L, 18L, 
#>         26L, 7L, 29L, 6L, 12L, 47L, 8L, 20L, 25L, 8L, 19L, 1L, 
#>         13L, 21L, 19L, 34L, 36L, 3L, 51L, 0L, 5L, 27L, 13L, 0L, 
#>         12L, 25L, 47L, 10L, 0L, 10L, 7L, 15L, 4L, 16L, 33L, 6L, 
#>         24L, 22L, 10L, 3L, 19L, 73L, 1L, 14L, 20L, 16L, 12L, 
#>         6L, 2L, 27L, 19L, 36L, 21L, 3L, 49L, 49L, 15L, 20L, 61L, 
#>         6L, 3L, 22L, 37L, 50L, 10L, 10L, 0L, 22L, 50L, 20L, 9L, 
#>         7L, 10L, 18L, 25L, 41L, 10L), hsg = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 34L, 20L, 33L, 20L, 36L, 
#>         64L, 20L, 0L, 24L, 29L, 21L, 21L, 23L, 40L, 8L, 19L, 
#>         21L, 19L, 33L, 11L, 53L, 8L, 30L, 100L, 40L, 36L, 43L, 
#>         24L, 51L, 3L, 25L, 4L, 24L, 20L, 15L, 22L, 30L, 22L, 
#>         5L, 26L, 21L, 24L, 15L, 55L, 27L, 31L, 19L, 22L, 27L, 
#>         25L, 33L, 40L, 23L, 0L, 32L, 9L, 8L, 3L, 29L, 12L, 26L, 
#>         27L, 100L, 11L, 25L, 25L, 30L, 44L, 19L, 21L, 35L, 26L, 
#>         12L, 35L, 11L, 17L, 4L, 9L, 28L, 10L, 18L, 27L, 20L, 
#>         31L, 16L, 47L, 21L, 34L, 40L, 3L, 19L, 27L, 35L, 36L, 
#>         51L, 4L, 5L, 19L, 12L, 8L, 25L, 20L, 35L, 31L, 3L, 33L, 
#>         15L, 23L, 29L, 2L, 30L, 41L, 27L, 29L, 34L, 25L, 16L, 
#>         25L, 14L, 0L, 27L, 20L, 37L, 15L, 19L, 53L, 16L, 36L, 
#>         30L, 9L, 27L, 20L, 15L, 20L, 30L, 2L, 14L, 13L, 24L, 
#>         38L, 10L, 25L, 9L, 46L, 12L, 23L, 21L, 15L, 28L, 19L, 
#>         27L, 10L, 35L, 17L, 5L, 23L, 15L, 24L, 22L, 24L, 22L, 
#>         22L, 22L, 30L, 26L, 15L, 20L, 18L, 19L, 21L, 24L, 25L, 
#>         7L, 23L, 36L, 50L, 20L, 11L, 0L, 37L, 21L, 28L, 21L, 
#>         17L, 48L, 20L, 34L, 58L, 25L), some.col = c(0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L, 15L, 23L, 31L, 11L, 
#>         18L, 32L, 0L, 13L, 27L, 31L, 46L, 14L, 18L, 22L, 30L, 
#>         31L, 24L, 30L, 30L, 21L, 28L, 27L, 0L, 19L, 37L, 28L, 
#>         35L, 27L, 7L, 26L, 18L, 17L, 24L, 47L, 29L, 20L, 34L, 
#>         26L, 12L, 27L, 39L, 39L, 10L, 22L, 17L, 28L, 29L, 40L, 
#>         26L, 31L, 11L, 14L, 17L, 33L, 24L, 21L, 14L, 15L, 28L, 
#>         8L, 12L, 0L, 45L, 32L, 31L, 16L, 26L, 14L, 29L, 25L, 
#>         23L, 35L, 30L, 28L, 32L, 23L, 22L, 13L, 36L, 38L, 33L, 
#>         34L, 37L, 36L, 13L, 15L, 16L, 32L, 18L, 37L, 25L, 18L, 
#>         20L, 21L, 11L, 13L, 31L, 29L, 23L, 22L, 40L, 18L, 39L, 
#>         12L, 19L, 6L, 31L, 10L, 14L, 25L, 29L, 33L, 40L, 23L, 
#>         35L, 25L, 17L, 30L, 0L, 20L, 33L, 26L, 37L, 34L, 6L, 
#>         30L, 22L, 24L, 29L, 14L, 40L, 23L, 22L, 20L, 6L, 31L, 
#>         28L, 14L, 17L, 25L, 37L, 32L, 22L, 35L, 31L, 19L, 31L, 
#>         29L, 26L, 43L, 24L, 19L, 7L, 23L, 25L, 22L, 34L, 26L, 
#>         28L, 38L, 28L, 26L, 16L, 20L, 40L, 15L, 13L, 34L, 33L, 
#>         8L, 27L, 29L, 32L, 21L, 0L, 28L, 32L, 50L, 25L, 14L, 
#>         20L, 20L, 33L, 10L, 29L, 20L, 0L, 34L), col.grad = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 10L, 12L, 29L, 
#>         23L, 8L, 9L, 16L, 100L, 2L, 28L, 28L, 26L, 3L, 13L, 27L, 
#>         30L, 34L, 44L, 13L, 42L, 5L, 29L, 21L, 0L, 20L, 19L, 
#>         16L, 28L, 10L, 35L, 10L, 42L, 14L, 42L, 20L, 27L, 21L, 
#>         19L, 35L, 8L, 13L, 22L, 33L, 7L, 31L, 19L, 22L, 39L, 
#>         24L, 22L, 17L, 15L, 7L, 67L, 19L, 39L, 39L, 39L, 23L, 
#>         41L, 5L, 4L, 0L, 10L, 10L, 22L, 3L, 9L, 2L, 33L, 11L, 
#>         34L, 28L, 25L, 40L, 41L, 42L, 45L, 8L, 48L, 21L, 12L, 
#>         31L, 12L, 33L, 5L, 22L, 8L, 18L, 35L, 25L, 17L, 9L, 16L, 
#>         6L, 38L, 25L, 30L, 32L, 41L, 13L, 30L, 4L, 15L, 44L, 
#>         24L, 2L, 18L, 12L, 43L, 30L, 11L, 11L, 20L, 10L, 22L, 
#>         35L, 8L, 36L, 40L, 25L, 33L, 11L, 32L, 23L, 19L, 30L, 
#>         6L, 7L, 36L, 8L, 10L, 37L, 24L, 27L, 36L, 31L, 19L, 13L, 
#>         28L, 40L, 18L, 20L, 15L, 36L, 25L, 21L, 32L, 10L, 21L, 
#>         12L, 43L, 19L, 2L, 44L, 31L, 30L, 21L, 28L, 34L, 32L, 
#>         18L, 25L, 16L, 29L, 27L, 14L, 13L, 16L, 21L, 5L, 35L, 
#>         36L, 16L, 3L, 0L, 35L, 23L, 0L, 11L, 14L, 31L, 27L, 33L, 
#>         33L, 25L, 16L, 0L, 25L), grad.sch = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 4L, 3L, 6L, 0L, 0L, 11L, 
#>         0L, 2L, 11L, 10L, 5L, 1L, 1L, 43L, 16L, 8L, 11L, 4L, 
#>         17L, 1L, 30L, 2L, 0L, 3L, 4L, 4L, 4L, 1L, 54L, 3L, 36L, 
#>         2L, 11L, 13L, 8L, 3L, 9L, 33L, 2L, 8L, 5L, 12L, 0L, 9L, 
#>         4L, 11L, 4L, 7L, 16L, 6L, 3L, 1L, 0L, 7L, 28L, 30L, 43L, 
#>         2L, 16L, 4L, 1L, 0L, 0L, 3L, 7L, 0L, 3L, 1L, 11L, 3L, 
#>         11L, 19L, 7L, 17L, 10L, 30L, 20L, 1L, 6L, 9L, 7L, 13L, 
#>         3L, 12L, 1L, 6L, 2L, 6L, 39L, 9L, 3L, 2L, 0L, 3L, 45L, 
#>         55L, 10L, 17L, 22L, 2L, 8L, 0L, 4L, 41L, 3L, 1L, 7L, 
#>         1L, 41L, 2L, 2L, 2L, 5L, 4L, 12L, 12L, 4L, 12L, 40L, 
#>         3L, 5L, 8L, 15L, 11L, 2L, 5L, 2L, 3L, 23L, 1L, 30L, 20L, 
#>         7L, 10L, 55L, 13L, 16L, 2L, 7L, 24L, 10L, 33L, 2L, 14L, 
#>         5L, 5L, 15L, 9L, 11L, 9L, 21L, 8L, 1L, 28L, 7L, 14L, 
#>         5L, 12L, 8L, 5L, 6L, 8L, 2L, 4L, 14L, 1L, 7L, 16L, 6L, 
#>         1L, 9L, 25L, 7L, 2L, 0L, 7L, 24L, 50L, 4L, 1L, 2L, 23L, 
#>         10L, 0L, 9L, 4L, 0L, 5L), avg.ed = c(3.3199999332428, 
#>         1.66999995708466, 2.33999991416931, 1.86000001430511, 
#>         3.17000007629395, 3.64000010490417, 3.54999995231628, 
#>         3.09999990463257, 2.17000007629395, 2.8199999332428, 
#>         2.21000003814697, 2.22000002861023, 2.00999999046326, 
#>         2.78999996185303, 2.73000001907349, 1.82000005245209, 
#>         2.26999998092651, 2.75, 4, 1.61000001430511, 3.10999989509583, 
#>         3.05999994277954, 3.13000011444092, 1.67999994754791, 
#>         2.19000005722046, 4.03000020980835, 3.30999994277954, 
#>         3.20000004768372, 3.41000008583069, 2.48000001907349, 
#>         3.63000011444092, 2.11999988555908, 3.71000003814697, 
#>         2.54999995231628, 2, 2.50999999046326, 2.83999991416931, 
#>         2.60999989509583, 2.97000002861023, 2.39000010490417, 
#>         4.36999988555908, 2.19000005722046, 4.09000015258789, 
#>         2.10999989509583, 3.36999988555908, 3.19000005722046, 
#>         2.90000009536743, 2.45000004768372, 2.8199999332428, 
#>         3.96000003814697, 1.78999996185303, 2.47000002861023, 
#>         2.85999989509583, 3.41000008583069, 1.97000002861023, 
#>         3, 2.34999990463257, 2.82999992370605, 3.14000010490417, 
#>         3.08999991416931, 3.07999992370605, 2.70000004768372, 
#>         2.20000004768372, 1.76999998092651, 3.32999992370605, 
#>         2.82999992370605, 3.84999990463257, 3.88000011444092, 
#>         4.21999979019165, 2.34999990463257, 3.5699999332428, 
#>         1.75999999046326, 1.67999994754791, 2, 2.3199999332428, 
#>         2.29999995231628, 2.8199999332428, 1.73000001907349, 
#>         2.35999989509583, 1.57000005245209, 3.21000003814697, 
#>         2.30999994277954, 3.1800000667572, 3.4300000667572, 2.97000002861023, 
#>         3.55999994277954, 3.4300000667572, 3.95000004768372, 
#>         3.67000007629395, 1.8400000333786, 3.49000000953674, 
#>         2.9300000667572, 2.5699999332428, 3.30999994277954, 2.53999996185303, 
#>         3.38000011444092, 1.88999998569489, 2.41000008583069, 
#>         1.96000003814697, 2.82999992370605, 3.99000000953674, 
#>         3.03999996185303, 2.42000007629395, 2.04999995231628, 
#>         2.24000000953674, 2.24000000953674, 4.19999980926514, 
#>         4.26000022888184, 3.09999990463257, 3.34999990463257, 
#>         3.64000010490417, 2.19000005722046, 3.22000002861023, 
#>         1.83000004291534, 2.67000007629395, 4.21000003814697, 
#>         2.52999997138977, 1.37999999523163, 2.66000008583069, 
#>         1.87000000476837, 4.23000001907349, 2.76999998092651, 
#>         2.36999988555908, 2.35999989509583, 2.86999988555908, 
#>         2.26999998092651, 3.0699999332428, 3.20000004768372, 
#>         1.96000003814697, 3.29999995231628, 3.79999995231628, 
#>         2.51999998092651, 3.07999992370605, 2.51999998092651, 
#>         3.46000003814697, 3, 2.27999997138977, 2.85999989509583, 
#>         2.0699999332428, 2.11999988555908, 3.66000008583069, 
#>         1.82000005245209, 3.5, 3.52999997138977, 2.64000010490417, 
#>         2.89000010490417, 4.44000005722046, 3.19000005722046, 
#>         2.88000011444092, 1.99000000953674, 2.84999990463257, 
#>         3.78999996185303, 2.9300000667572, 3.61999988555908, 
#>         2.44000005722046, 3.44000005722046, 2.79999995231628, 
#>         2.44000005722046, 3.33999991416931, 2.50999999046326, 
#>         2.78999996185303, 2.82999992370605, 3.6800000667572, 
#>         2.61999988555908, 1.41999995708466, 3.9300000667572, 
#>         2.95000004768372, 3.02999997138977, 2.75, 3.04999995231628, 
#>         3.13000011444092, 3.16000008583069, 2.52999997138977, 
#>         2.79999995231628, 2.19000005722046, 2.6800000667572, 
#>         3.33999991416931, 1.97000002861023, 2.09999990463257, 
#>         2.99000000953674, 2.74000000953674, 1.62000000476837, 
#>         3.16000008583069, 3.71000003814697, 2.63000011444092, 
#>         1.98000001907349, 1.5, 3.09999990463257, 3.40000009536743, 
#>         4, 2.38000011444092, 1.96000003814697, 2.67000007629395, 
#>         3.33999991416931, 3.23000001907349, 2.67000007629395, 
#>         2.85999989509583, 2.40000009536743, 1.61000001430511, 
#>         2.91000008583069), full = c(100L, 57L, 81L, 64L, 90L, 
#>         95L, 96L, 93L, 91L, 96L, 84L, 65L, 93L, 55L, 80L, 67L, 
#>         97L, 89L, 100L, 90L, 97L, 89L, 78L, 81L, 81L, 95L, 77L, 
#>         95L, 88L, 100L, 97L, 31L, 91L, 98L, 66L, 94L, 94L, 84L, 
#>         47L, 96L, 97L, 82L, 100L, 85L, 100L, 97L, 84L, 88L, 93L, 
#>         93L, 100L, 95L, 100L, 83L, 78L, 98L, 77L, 100L, 95L, 
#>         100L, 97L, 87L, 24L, 91L, 68L, 95L, 100L, 97L, 93L, 64L, 
#>         92L, 81L, 80L, 72L, 100L, 84L, 94L, 80L, 89L, 56L, 100L, 
#>         95L, 96L, 97L, 100L, 99L, 100L, 100L, 99L, 100L, 73L, 
#>         92L, 91L, 86L, 90L, 98L, 67L, 81L, 89L, 93L, 100L, 76L, 
#>         79L, 56L, 78L, 96L, 93L, 100L, 100L, 100L, 96L, 90L, 
#>         100L, 94L, 97L, 93L, 61L, 75L, 80L, 73L, 100L, 100L, 
#>         100L, 100L, 100L, 82L, 88L, 74L, 82L, 84L, 92L, 62L, 
#>         91L, 85L, 100L, 91L, 78L, 94L, 81L, 70L, 86L, 84L, 100L, 
#>         88L, 84L, 100L, 93L, 95L, 94L, 55L, 88L, 96L, 73L, 92L, 
#>         84L, 95L, 85L, 81L, 99L, 67L, 94L, 92L, 95L, 87L, 78L, 
#>         98L, 92L, 83L, 66L, 81L, 80L, 92L, 96L, 96L, 66L, 84L, 
#>         92L, 70L, 100L, 97L, 71L, 83L, 97L, 100L, 82L, 91L, 96L, 
#>         68L, 88L, 88L, 83L, 68L, 65L, 67L, 100L, 42L, 95L, 78L, 
#>         95L, 97L), emer = c(0L, 40L, 26L, 24L, 7L, 0L, 0L, 8L, 
#>         14L, 0L, 18L, 37L, 17L, 26L, 19L, 33L, 3L, 13L, 7L, 14L, 
#>         0L, 11L, 22L, 19L, 15L, 0L, 17L, 6L, 4L, 8L, 3L, 63L, 
#>         3L, 9L, 35L, 6L, 13L, 16L, 47L, 4L, 6L, 18L, 3L, 18L, 
#>         0L, 3L, 9L, 0L, 7L, 0L, 0L, 8L, 0L, 9L, 23L, 0L, 17L, 
#>         6L, 5L, 0L, 3L, 5L, 72L, 15L, 34L, 5L, 0L, 3L, 4L, 29L, 
#>         10L, 22L, 17L, 28L, 0L, 13L, 13L, 20L, 11L, 44L, 2L, 
#>         0L, 7L, 3L, 0L, 3L, 0L, 0L, 4L, 12L, 19L, 17L, 15L, 14L, 
#>         10L, 2L, 28L, 14L, 11L, 5L, 0L, 12L, 24L, 40L, 16L, 4L, 
#>         7L, 0L, 21L, 0L, 4L, 14L, 0L, 9L, 3L, 8L, 39L, 25L, 17L, 
#>         30L, 0L, 10L, 0L, 0L, 0L, 11L, 6L, 11L, 18L, 14L, 8L, 
#>         15L, 8L, 15L, 0L, 5L, 11L, 6L, 16L, 37L, 7L, 16L, 3L, 
#>         12L, 1L, 0L, 7L, 3L, 6L, 42L, 12L, 4L, 24L, 14L, 12L, 
#>         5L, 15L, 3L, 4L, 33L, 6L, 8L, 8L, 10L, 19L, 2L, 10L, 
#>         13L, 25L, 19L, 13L, 0L, 1L, 6L, 28L, 14L, 8L, 30L, 0L, 
#>         6L, 18L, 17L, 6L, 3L, 7L, 9L, 0L, 26L, 12L, 5L, 17L, 
#>         28L, 34L, 30L, 0L, 39L, 4L, 13L, 5L, 3L), enroll = c(276L, 
#>         841L, 441L, 298L, 354L, 330L, 385L, 583L, 763L, 381L, 
#>         1293L, 1043L, 2165L, 739L, 1894L, 1112L, 515L, 1116L, 
#>         739L, 262L, 528L, 912L, 278L, 357L, 2552L, 266L, 1105L, 
#>         1586L, 256L, 1173L, 539L, 443L, 450L, 553L, 1527L, 589L, 
#>         363L, 475L, 331L, 312L, 558L, 983L, 474L, 1423L, 184L, 
#>         446L, 682L, 491L, 715L, 369L, 179L, 681L, 263L, 313L, 
#>         522L, 1820L, 598L, 1162L, 339L, 334L, 323L, 655L, 388L, 
#>         817L, 1033L, 342L, 355L, 537L, 382L, 2039L, 1345L, 444L, 
#>         603L, 390L, 264L, 158L, 618L, 643L, 424L, 541L, 532L, 
#>         473L, 337L, 447L, 334L, 1115L, 290L, 767L, 1956L, 660L, 
#>         285L, 143L, 555L, 829L, 382L, 695L, 571L, 637L, 529L, 
#>         619L, 270L, 775L, 1515L, 954L, 441L, 387L, 633L, 227L, 
#>         893L, 155L, 1771L, 635L, 588L, 325L, 725L, 1469L, 437L, 
#>         195L, 1087L, 554L, 445L, 119L, 292L, 332L, 358L, 339L, 
#>         386L, 250L, 587L, 1989L, 802L, 608L, 1139L, 262L, 304L, 
#>         525L, 459L, 195L, 492L, 480L, 615L, 892L, 437L, 1148L, 
#>         1032L, 390L, 1692L, 2247L, 547L, 1068L, 1191L, 365L, 
#>         770L, 934L, 678L, 348L, 714L, 708L, 2018L, 271L, 895L, 
#>         307L, 1788L, 216L, 620L, 1377L, 1115L, 2181L, 1783L, 
#>         696L, 933L, 153L, 1524L, 1389L, 2171L, 1313L, 542L, 1684L, 
#>         213L, 1520L, 1012L, 3156L, 410L, 1358L, 364L, 169L, 368L, 
#>         190L, 368L, 763L, 601L, 2237L, 1602L, 420L, 613L, 446L, 
#>         1754L, 423L, 482L, 599L), api.stu = c(241L, 631L, 415L, 
#>         288L, 319L, 315L, 363L, 510L, 652L, 322L, 1035L, 815L, 
#>         1850L, 658L, 1451L, 931L, 447L, 966L, 585L, 192L, 479L, 
#>         796L, 266L, 302L, 2238L, 241L, 851L, 1349L, 222L, 923L, 
#>         494L, 401L, 397L, 509L, 1458L, 509L, 306L, 402L, 285L, 
#>         266L, 515L, 853L, 397L, 780L, 148L, 356L, 645L, 384L, 
#>         643L, 327L, 143L, 602L, 226L, 256L, 437L, 1607L, 340L, 
#>         1077L, 243L, 244L, 257L, 622L, 299L, 675L, 884L, 293L, 
#>         284L, 438L, 312L, 1769L, 565L, 368L, 532L, 339L, 238L, 
#>         124L, 545L, 567L, 386L, 478L, 303L, 397L, 278L, 354L, 
#>         265L, 1099L, 256L, 735L, 1756L, 597L, 250L, 133L, 484L, 
#>         714L, 304L, 626L, 436L, 594L, 492L, 542L, 239L, 653L, 
#>         1309L, 746L, 383L, 338L, 364L, 185L, 749L, 137L, 1454L, 
#>         461L, 318L, 288L, 613L, 1344L, 366L, 168L, 963L, 490L, 
#>         395L, 106L, 228L, 320L, 273L, 301L, 323L, 219L, 478L, 
#>         1581L, 386L, 544L, 665L, 241L, 251L, 434L, 349L, 178L, 
#>         376L, 448L, 552L, 774L, 381L, 840L, 932L, 325L, 1552L, 
#>         2052L, 487L, 1147L, 1063L, 326L, 645L, 845L, 403L, 296L, 
#>         591L, 524L, 1153L, 261L, 783L, 278L, 1593L, 162L, 500L, 
#>         917L, 914L, 1958L, 814L, 595L, 756L, 123L, 1254L, 1137L, 
#>         1995L, 1111L, 430L, 1208L, 175L, 1306L, 1082L, 2900L, 
#>         372L, 1182L, 347L, 142L, 332L, 168L, 314L, 691L, 457L, 
#>         1248L, 1178L, 352L, 534L, 351L, 1516L, 369L, 446L, 517L
#>         ), pw = c(44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 20.3600006103516, 
#>         15.1000003814697, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 20.3600006103516, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 15.1000003814697, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>         15.1000003814697, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 20.3600006103516, 
#>         44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         15.1000003814697, 20.3600006103516, 20.3600006103516, 
#>         15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 20.3600006103516, 
#>         20.3600006103516, 20.3600006103516, 15.1000003814697, 
#>         44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>         15.1000003814697, 15.1000003814697, 44.2099990844727, 
#>         15.1000003814697, 15.1000003814697, 15.1000003814697, 
#>         15.1000003814697, 20.3600006103516, 20.3600006103516, 
#>         44.2099990844727, 20.3600006103516, 15.1000003814697, 
#>         20.3600006103516, 15.1000003814697, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>         20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>         15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>         15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>         44.2099990844727, 15.1000003814697), fpc = c(4421, 4421, 
#>         4421, 4421, 4421, 4421, 4421, 4421, 4421, 4421, 1018, 
#>         1018, 755, 1018, 755, 4421, 4421, 1018, 1018, 4421, 4421, 
#>         1018, 4421, 755, 755, 4421, 755, 755, 4421, 1018, 1018, 
#>         4421, 4421, 4421, 755, 4421, 1018, 1018, 755, 4421, 1018, 
#>         755, 4421, 755, 4421, 4421, 755, 1018, 1018, 4421, 1018, 
#>         4421, 4421, 4421, 4421, 755, 1018, 1018, 4421, 4421, 
#>         4421, 4421, 4421, 1018, 755, 4421, 4421, 4421, 4421, 
#>         1018, 1018, 4421, 4421, 1018, 4421, 4421, 1018, 4421, 
#>         4421, 4421, 755, 4421, 4421, 4421, 4421, 755, 4421, 1018, 
#>         755, 4421, 4421, 4421, 4421, 1018, 4421, 755, 4421, 755, 
#>         1018, 4421, 4421, 1018, 755, 1018, 4421, 4421, 755, 4421, 
#>         1018, 4421, 755, 1018, 755, 4421, 1018, 755, 4421, 4421, 
#>         1018, 1018, 4421, 755, 4421, 4421, 1018, 4421, 4421, 
#>         4421, 4421, 755, 1018, 1018, 755, 4421, 4421, 1018, 4421, 
#>         755, 4421, 1018, 4421, 1018, 4421, 755, 755, 4421, 755, 
#>         755, 4421, 755, 1018, 4421, 4421, 1018, 4421, 1018, 1018, 
#>         1018, 755, 4421, 1018, 4421, 755, 755, 4421, 755, 755, 
#>         755, 755, 1018, 1018, 4421, 1018, 755, 1018, 755, 755, 
#>         755, 4421, 755, 1018, 755, 4421, 1018, 4421, 4421, 4421, 
#>         4421, 4421, 755, 4421, 755, 755, 4421, 4421, 4421, 755, 
#>         1018, 4421, 755), ellnum = c(25, 77, 23, 63, 17, 0, 2, 
#>         2, 58, 23, 25, 10, 43, 26, 7, 66, 73, 20, 16, 39, 6, 
#>         18, 6, 59, 18, 3, 3, 5, 7, 23, 1, 17, 10, 27, 22, 18, 
#>         0, 14, 0, 2, 2, 30, 7, 37, 0, 3, 4, 46, 13, 3, 42, 20, 
#>         11, 0, 32, 8, 27, 27, 43, 3, 37, 22, 35, 62, 17, 8, 1, 
#>         3, 4, 37, 4, 70, 80, 15, 10, 22, 33, 73, 3, 38, 0, 9, 
#>         2, 11, 3, 5, 0, 2, 7, 62, 1, 28, 18, 5, 25, 0, 33, 21, 
#>         32, 1, 7, 13, 22, 46, 24, 18, 1, 8, 16, 10, 7, 50, 0, 
#>         40, 14, 1, 37, 84, 17, 33, 1, 6, 2, 32, 1, 28, 22, 20, 
#>         50, 6, 17, 5, 11, 33, 1, 14, 66, 17, 41, 12, 9, 54, 8, 
#>         16, 24, 17, 2, 5, 50, 24, 18, 19, 12, 6, 33, 0, 33, 28, 
#>         4, 51, 8, 5, 3, 25, 69, 0, 10, 16, 6, 29, 10, 7, 15, 
#>         21, 34, 18, 0, 49, 59, 10, 0, 34, 4, 6, 45, 50, 21, 22, 
#>         14, 3, 34, 37, 8, 12, 39, 56, 14, 6, 69, 4), mealsnum = c(33, 
#>         98, 64, 83, 26, 7, 9, 45, 75, 47, 69, 60, 66, 54, 35, 
#>         95, 75, 47, 6, 93, 38, 32, 24, 89, 44, 15, 18, 9, 35, 
#>         60, 13, 98, 25, 78, 63, 54, 21, 24, 23, 34, 2, 31, 4, 
#>         37, 14, 31, 20, 59, 31, 6, 66, 58, 71, 67, 75, 15, 78, 
#>         64, 40, 36, 42, 69, 99, 75, 51, 45, 14, 13, 7, 79, 4, 
#>         83, 92, 51, 25, 74, 52, 95, 51, 96, 3, 74, 7, 20, 24, 
#>         50, 20, 4, 8, 100, 61, 48, 51, 17, 56, 12, 80, 72, 77, 
#>         18, 10, 18, 39, 64, 54, 76, 1, 6, 45, 11, 9, 72, 19, 
#>         100, 47, 1, 72, 97, 67, 85, 1, 6, 77, 83, 52, 42, 38, 
#>         39, 100, 19, 19, 99, 34, 78, 10, 36, 98, 23, 69, 66, 
#>         28, 73, 25, 29, 31, 33, 0, 21, 49, 100, 24, 4, 46, 24, 
#>         82, 29, 46, 44, 5, 76, 36, 43, 5, 20, 98, 1, 20, 23, 
#>         33, 33, 24, 41, 57, 36, 91, 21, 13, 98, 67, 23, 38, 86, 
#>         14, 13, 74, 72, 45, 39, 38, 8, 69, 47, 38, 34, 36, 98, 
#>         36, 56, 88, 28), mobilitynum = c(11, 26, 17, 13, 31, 
#>         12, 10, 15, 23, 19, 26, 22, 16, 44, 18, 18, 12, 8, 17, 
#>         20, 8, 6, 15, 10, 13, 11, 12, 9, 9, 18, 6, 31, 16, 20, 
#>         13, 23, 17, 17, 9, 18, 8, 12, 17, 17, 15, 22, 4, 13, 
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#>             "Hillview Middle", "Gladstone High", "Highland Ranch ", 
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#>             "Navelencia Midd", "Olson (Ione) El", "Dos Palos Eleme", 
#>             "King (Martin Lu", "Edison Elementa", "Kohn (Frank) El", 
#>             "Myrtle Avenue E", "McKinleyville H", "Mark Twain Elem", 
#>             "Stockdale Eleme", "Muir (John) Ele", "Madrone Element", 
#>             "San Diego Schoo", "Redwood Element", "Sinaloa Middle", 
#>             "El Toro High", "Leavenworth (An", "Annalee Avenue ", 
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#>             "Murwood Element", "Benton (Reginal", "Bloomington Hig", 
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#>             "Nicoloff (George) Elementary", "Valle Lindo Elementary", 
#>             "Frisbie Middle", "Rivera (Tomas) Middle", "Roosevelt High", 
#>             "Frick Middle", "Rancho Verde High", "Corona Avenue Elementary", 
#>             "Rosita Elementary", "Cree (Raymond) Middle", "Rancho San Joaquin Middle", 
#>             "Orange Center Elementary", "Pine Street Elementary", 
#>             "Buchser Middle", "Frost (Earl) Elementary", "Farmersville High", 
#>             "Fontana Miller (A.B.) High", "Crocker Highlands Elementary", 
#>             "South Hills High", "Rancho Cotate High", "Kentwood Elementary", 
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#>             "Overfelt (William C.) High", "Ophir Elementary", 
#>             "Valley View Elementary", "Escalon High", "Everett Middle", 
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#>             "Johnson (Lloyd G.) Jr. High", "Rocky Hill Elementary", 
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#>             "Kelley Elementary", "Royal High", "Benjamin Franklin Middle", 
#>             "Marston Middle", "Monroe (James) Elementary", "Condor Elementary", 
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#>             "Doig (Leroy L.) Intermediate", "Muir High", "Faller Elementary", 
#>             "Legette (Earl) Elementary", "Highlands Elementary", 
#>             "Bancroft Elementary", "Mt. Vernon Middle", "La Mesa Jr. High", 
#>             "McKinley Elementary", "Walker Elementary", "Navelencia Middle", 
#>             "Olson (Ione) Elementary", "Dos Palos Elementary", 
#>             "King (Martin Luther Jr) Middle", "Edison Elementary", 
#>             "Kohn (Frank) Elementary", "Myrtle Avenue Elementary", 
#>             "McKinleyville High", "Mark Twain Elementary", "Stockdale Elementary", 
#>             "Muir (John) Elementary", "Madrone Elementary", "San Diego School of Creative & Performin", 
#>             "Redwood Elementary", "Sinaloa Middle", "El Toro High", 
#>             "Leavenworth (Ann B.) Elementary", "Annalee Avenue Elementary", 
#>             "Clarksburg Elementary", "Monroe Elementary", "Pine Hollow Middle", 
#>             "Merlinda Elementary", "Amador County High", "Lewis (Mary B.) Elementary", 
#>             "Downtown Business High", "Jefferson (Thomas) Middle", 
#>             "Elliott (Brock) Elementary", "Murwood Elementary", 
#>             "Benton (Reginald M.) Middle", "Bloomington High", 
#>             "Vernon Middle", "Hemlock Elementary", "Roosevelt Elementary", 
#>             "Tamalpais High", "Thornhill Elementary", "Brannan (Sam) Middle", 
#>             "Old Adobe Elementary", "San Clemente High", "Fairview Middle", 
#>             "Summerville High", "King Elementary", "Palm Middle", 
#>             "San Ramon Valley High", "Wilcox Elementary", "Cantua Elementary", 
#>             "Shandin Hills Middle", "McFarland Middle", "Ridgeview Elementary", 
#>             "Lone Pine High", "Meadow Lane Elementary", "Norman (Alyce) Elementary", 
#>             "Evergreen Middle", "Elkhorn Elementary", "Lynhaven Elementary", 
#>             "Haynes Elementary", "Sun Empire Elementary", "Santiago High", 
#>             "Goleta Valley Junior High", "Willowbrook Middle", 
#>             "Foothill High", "Bryant Elementary", "Olive Drive Elementary", 
#>             "Sierra Middle", "El Sereno Elementary", "Delta High", 
#>             "Myra Linn Elementary", "Bryant Middle", "Twain Elementary", 
#>             "Wiltsey (Ray) Middle", "Miller Elementary", "Mira Loma High", 
#>             "Willow Glen High", "College View Elementary", "La Canada High", 
#>             "Rancho Buena Vista High", "Cali Calmecac (Charter #162)", 
#>             "Dominguez High", "Douglass Junior High", "Dunsmore Elementary", 
#>             "Joshua Hills Elementary", "Cabrillo Middle", "Broad Avenue Elementary", 
#>             "Sisson Elementary", "Ralston (Dr. Walter C.) Intermediate", 
#>             "Steinbeck Middle", "Beyer (Fred C.) High", "Franklin (Benjamin) Elementary", 
#>             "Silverado Middle", "Bedell (Thelma B.) Elementary", 
#>             "Trabuco Hills High", "O'Connell (John A.) High", 
#>             "San Joaquin Elementary", "Oak Ridge High", "South San Francisco High", 
#>             "Hamilton (Alexander) Senior Hi", "Antelope Valley High", 
#>             "Rancho Milpitas Junior High", "Pinole Junior High", 
#>             "Big Pine Elementary", "Washington Middle", "Sacramento High", 
#>             "El Sereno Middle", "Burton (Phillip & Sala) Academic High", 
#>             "Mariposa County High", "Compton High", "Anderson Valley Elementary", 
#>             "Ukiah High", "Workman (James) Middle", "Garfield (James A.) Senior High", 
#>             "Del Lago Elementary", "Meadowbrook Middle", "Laurel Elementary", 
#>             "El Cerrito Elementary", "Santa Susana Elementary", 
#>             "Fairwood Elementary", "Pacific (K-8)", "Santa Susana High", 
#>             "Machado Elementary", "Delano High", "Pittsburg Senior High", 
#>             "Emperor Elementary", "Alvarado Elementary", "One Hundred Twelfth Street Elementary", 
#>             "Corona Senior High", "Sycamore Middle", "Larsen (Ansgar) Elementary", 
#>             "Lincoln High (Char)"), snum = c(2077, 1622, 2236, 
#>             1921, 6140, 6077, 6071, 904, 4637, 4311, 4105, 3607, 
#>             627, 215, 3599, 1678, 3015, 3491, 3237, 725, 861, 
#>             5410, 5319, 5947, 3999, 169, 1247, 5706, 1777, 4398, 
#>             5481, 2435, 1502, 636, 2231, 598, 573, 375, 1043, 
#>             5612, 5002, 1149, 4446, 5237, 3292, 2387, 4785, 4768, 
#>             4787, 3225, 354, 5874, 5511, 1632, 4100, 6055, 4759, 
#>             4565, 2995, 4043, 5417, 2457, 2428, 3001, 2233, 1037, 
#>             3839, 411, 402, 2061, 2417, 5245, 3154, 716, 2755, 
#>             2712, 114, 3122, 5903, 980, 783, 1055, 917, 4830, 
#>             5658, 4464, 5482, 2601, 3179, 700, 1606, 3720, 3525, 
#>             418, 2378, 280, 3975, 1555, 1027, 4844, 532, 2180, 
#>             3968, 4074, 4026, 5967, 2617, 208, 3786, 5641, 2878, 
#>             2807, 5976, 688, 4406, 508, 2129, 759, 4172, 1042, 
#>             3283, 864, 5505, 6155, 5843, 2799, 5196, 1760, 753, 
#>             3364, 5162, 2445, 3678, 1475, 999, 4796, 1702, 3718, 
#>             3351, 2711, 1520, 4067, 4352, 3807, 5356, 3074, 1414, 
#>             4639, 5719, 2427, 6173, 1358, 2192, 6098, 1631, 5550, 
#>             2999, 5391, 5762, 1360, 2831, 6052, 3181, 4694, 760, 
#>             551, 5076, 1565, 1132, 5446, 498, 859, 4649, 3732, 
#>             2072, 4686, 2625, 2426, 2631, 2641, 3497, 1563, 3203, 
#>             4426, 189, 3030, 6068, 5421, 4801, 6054, 3563, 938, 
#>             448, 2338, 146, 1858, 3365, 336, 5986, 3324), dname = c("Los Angeles Unified", 
#>             "Los Angeles Unified", "Pasadena Unified", "Los Angeles Unified", 
#>             "Moorpark Unified", "Simi Valley Unified", "Simi Valley Unified", 
#>             "Bakersfield City Elem", "South Bay Union Elem", 
#>             "Chula Vista Elementary", "Rialto Unified", "Val Verde Unified", 
#>             "Fresno Unified", "Oakland Unified", "Val Verde Unified", 
#>             "Los Angeles Unified", "Garden Grove Unified", "Palm Springs Unified", 
#>             "Irvine Unified", "Orange Center Elementary", "Bishop Union Elementary", 
#>             "Santa Clara Unified", "Oak Grove Elementary", "Farmersville Unified", 
#>             "Fontana Unified", "Oakland Unified", "Covina-Valley Unified", 
#>             "Cotati-Rohnert Park Unif", "Los Angeles Unified", 
#>             "La Mesa-Spring Valley", "San Lorenzo Valley Unif", 
#>             "Compton Unified", "Long Beach Unified", "Fresno Unified", 
#>             "Pasadena Unified", "Clovis Unified", "Pollock Pines Elementary", 
#>             "John Swett Unified", "El Tejon Unified", "Vacaville Unified", 
#>             "Menlo Park City Elem", "Azusa Unified", "Poway Unified", 
#>             "East Side Union High", "Ophir Elementary", "Westside Union Elem", 
#>             "Escalon Unified", "San Francisco Unified", "Escalon Unified", 
#>             "Tustin Unified", "Pierce Joint Unified", "Exeter Union Elementary", 
#>             "Enterprise Elementary", "Los Angeles Unified", "Rialto Unified", 
#>             "Simi Valley Unified", "San Francisco Unified", "San Diego City Unified", 
#>             "Garden Grove Unified", "Morongo Unified", "Sunnyvale Elementary", 
#>             "Hacienda la Puente Unif", "Compton Unified", "Garden Grove Unified", 
#>             "Pasadena Unified", "Sierra Sands Unified", "San Juan Unified", 
#>             "Mt. Diablo Unified", "Mt. Diablo Unified", "Los Angeles Unified", 
#>             "William S. Hart High", "Franklin-McKinley Elem", 
#>             "Santa Ana Unified", "Kings Canyon Unified", "Monterey Peninsula Unif.", 
#>             "Dos Palos Oro Loma Unif", "Hayward Unified", "Santa Ana Unified", 
#>             "Tulare City Elementary", "Lamont Elementary", "Northern Humboldt High", 
#>             "Corcoran Joint Unified", "Panama Buena Vista Elem", 
#>             "Lodi Unified", "Rincon Valley Union Elem", "San Diego City Unified", 
#>             "San Lorenzo Valley Unif", "Novato Unified", "Saddleback Valley Unif", 
#>             "Fresno Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>             "Riverside Unified", "Mt. Diablo Unified", "West Covina Unified", 
#>             "Amador County Unified", "Colton Joint Unified", 
#>             "Los Angeles Unified", "Wasco Union Elementary", 
#>             "Manteca Unified", "Walnut Creek Elementary", "Norwalk-La Mirada Unif", 
#>             "Colton Joint Unified", "Ontario-Montclair Elem", 
#>             "Fontana Unified", "Dinuba Unified", "Tamalpais Union High", 
#>             "Oakland Unified", "Sacramento City Unified", "Old Adobe Union Elem", 
#>             "Capistrano Unified", "Gonzales Unified", "Summerville Union High", 
#>             "Fresno Unified", "Lemon Grove Elementary", "San Ramon Valley Unified", 
#>             "Montebello Unified", "Golden Plains Unified", "San Bernardino City Unif", 
#>             "McFarland Unified", "Eureka Union Elementary", "Lone Pine Unified", 
#>             "Cascade Union Elementary", "Washington Unified", 
#>             "Evergreen Union Elem", "North Monterey Co Unif", 
#>             "Campbell Union Elem", "Los Angeles Unified", "Kerman Unified", 
#>             "Corona-Norco Unified", "Santa Barbara High", "Compton Unified", 
#>             "Grant Joint Union High", "Long Beach Unified", "Norris Elementary", 
#>             "Lincoln Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>             "Alvord Unified", "Dos Palos Oro Loma Unif", "Long Beach Unified", 
#>             "Ontario-Montclair Elem", "Escondido Union Elem", 
#>             "San Juan Unified", "San Jose Unified", "Ocean View Elementary", 
#>             "La Canada Unified", "Vista Unified", "Windsor Unified", 
#>             "Compton Unified", "Woodland Joint Unified", "Glendale Unified", 
#>             "Palmdale Elementary", "Ventura Unified", "Los Angeles Unified", 
#>             "Mt. Shasta Union Elem", "Garden Grove Unified", 
#>             "San Jose Unified", "Modesto City High", "Glendale Unified", 
#>             "Napa Valley Unified", "Santa Paula Elementary", 
#>             "Saddleback Valley Unif", "San Francisco Unified", 
#>             "Golden Plains Unified", "El Dorado Union High", 
#>             "South San Francisco Unif", "Los Angeles Unified", 
#>             "Antelope Valley High", "Milpitas Unified", "West Contra Costa Unified", 
#>             "Big Pine Unified", "Vista Unified", "Sacramento City Unified", 
#>             "Los Angeles Unified", "San Francisco Unified", "Mariposa County Unified", 
#>             "Compton Unified", "Anderson Valley Unified", "Ukiah Unified", 
#>             "Palm Springs Unified", "Los Angeles Unified", "Saddleback Valley Unif", 
#>             "Poway Unified", "Oakland Unified", "La Habra City Elementary", 
#>             "Simi Valley Unified", "Sunnyvale Elementary", "Lincoln Unified", 
#>             "Simi Valley Unified", "Lake Elsinore Unified", "Delano Joint Union High", 
#>             "Pittsburg Unified", "Temple City Unified", "New Haven Unified", 
#>             "Los Angeles Unified", "Corona-Norco Unified", "Gridley Unified", 
#>             "Hueneme Elementary", "Western Placer Unified"), 
#>             dnum = c(401L, 401L, 541L, 401L, 460L, 689L, 689L, 
#>             41L, 702L, 135L, 590L, 767L, 253L, 507L, 767L, 401L, 
#>             259L, 531L, 316L, 515L, 69L, 656L, 501L, 233L, 238L, 
#>             507L, 162L, 160L, 401L, 351L, 639L, 153L, 395L, 253L, 
#>             541L, 140L, 569L, 324L, 208L, 766L, 439L, 40L, 575L, 
#>             196L, 514L, 806L, 215L, 632L, 215L, 756L, 550L, 226L, 
#>             214L, 401L, 590L, 689L, 632L, 630L, 259L, 465L, 725L, 
#>             284L, 153L, 259L, 541L, 685L, 636L, 473L, 473L, 401L, 
#>             813L, 247L, 653L, 339L, 459L, 185L, 294L, 653L, 751L, 
#>             364L, 497L, 155L, 537L, 390L, 596L, 630L, 639L, 499L, 
#>             621L, 253L, 401L, 602L, 605L, 473L, 797L, 20L, 148L, 
#>             401L, 784L, 419L, 781L, 498L, 148L, 513L, 238L, 182L, 
#>             735L, 507L, 620L, 512L, 108L, 273L, 722L, 253L, 376L, 
#>             650L, 457L, 270L, 627L, 432L, 223L, 394L, 114L, 787L, 
#>             225L, 495L, 105L, 401L, 333L, 158L, 655L, 153L, 275L, 
#>             395L, 492L, 382L, 401L, 602L, 19L, 185L, 395L, 513L, 
#>             216L, 636L, 635L, 509L, 348L, 780L, 819L, 153L, 825L, 
#>             266L, 532L, 774L, 401L, 475L, 259L, 635L, 450L, 266L, 
#>             478L, 662L, 621L, 632L, 270L, 202L, 706L, 401L, 27L, 
#>             448L, 796L, 64L, 780L, 620L, 401L, 632L, 423L, 153L, 
#>             25L, 760L, 531L, 401L, 621L, 575L, 507L, 349L, 689L, 
#>             725L, 382L, 689L, 358L, 176L, 554L, 738L, 484L, 401L, 
#>             158L, 279L, 308L, 802L), cname = c("Los Angeles", 
#>             "Los Angeles", "Los Angeles", "Los Angeles", "Ventura", 
#>             "Ventura", "Ventura", "Kern", "San Diego", "San Diego", 
#>             "San Bernardino", "Riverside", "Fresno", "Alameda", 
#>             "Riverside", "Los Angeles", "Orange", "Riverside", 
#>             "Orange", "Fresno", "Inyo", "Santa Clara", "Santa Clara", 
#>             "Tulare", "San Bernardino", "Alameda", "Los Angeles", 
#>             "Sonoma", "Los Angeles", "San Diego", "Santa Cruz", 
#>             "Los Angeles", "Los Angeles", "Fresno", "Los Angeles", 
#>             "Fresno", "El Dorado", "Contra Costa", "Kern", "Solano", 
#>             "San Mateo", "Los Angeles", "San Diego", "Santa Clara", 
#>             "Placer", "Los Angeles", "San Joaquin", "San Francisco", 
#>             "San Joaquin", "Orange", "Colusa", "Tulare", "Shasta", 
#>             "Los Angeles", "San Bernardino", "Ventura", "San Francisco", 
#>             "San Diego", "Orange", "San Bernardino", "Santa Clara", 
#>             "Los Angeles", "Los Angeles", "Orange", "Los Angeles", 
#>             "Kern", "Sacramento", "Contra Costa", "Contra Costa", 
#>             "Los Angeles", "Los Angeles", "Santa Clara", "Orange", 
#>             "Fresno", "Monterey", "Merced", "Alameda", "Orange", 
#>             "Tulare", "Kern", "Humboldt", "Kings", "Kern", "San Joaquin", 
#>             "Sonoma", "San Diego", "Santa Cruz", "Marin", "Orange", 
#>             "Fresno", "Los Angeles", "Sacramento", "Riverside", 
#>             "Contra Costa", "Los Angeles", "Amador", "San Bernardino", 
#>             "Los Angeles", "Kern", "San Joaquin", "Contra Costa", 
#>             "Los Angeles", "San Bernardino", "San Bernardino", 
#>             "San Bernardino", "Tulare", "Marin", "Alameda", "Sacramento", 
#>             "Sonoma", "Orange", "Monterey", "Tuolumne", "Fresno", 
#>             "San Diego", "Contra Costa", "Los Angeles", "Fresno", 
#>             "San Bernardino", "Kern", "Placer", "Inyo", "Shasta", 
#>             "Yolo", "Tehama", "Monterey", "Santa Clara", "Los Angeles", 
#>             "Fresno", "Riverside", "Santa Barbara", "Los Angeles", 
#>             "Sacramento", "Los Angeles", "Kern", "San Joaquin", 
#>             "Los Angeles", "Sacramento", "Riverside", "Merced", 
#>             "Los Angeles", "San Bernardino", "San Diego", "Sacramento", 
#>             "Santa Clara", "Orange", "Los Angeles", "San Diego", 
#>             "Sonoma", "Los Angeles", "Yolo", "Los Angeles", "Los Angeles", 
#>             "Ventura", "Los Angeles", "Siskiyou", "Orange", "Santa Clara", 
#>             "Stanislaus", "Los Angeles", "Napa", "Ventura", "Orange", 
#>             "San Francisco", "Fresno", "El Dorado", "San Mateo", 
#>             "Los Angeles", "Los Angeles", "Santa Clara", "Contra Costa", 
#>             "Inyo", "San Diego", "Sacramento", "Los Angeles", 
#>             "San Francisco", "Mariposa", "Los Angeles", "Mendocino", 
#>             "Mendocino", "Riverside", "Los Angeles", "Orange", 
#>             "San Diego", "Alameda", "Orange", "Ventura", "Santa Clara", 
#>             "San Joaquin", "Ventura", "Riverside", "Kern", "Contra Costa", 
#>             "Los Angeles", "Alameda", "Los Angeles", "Riverside", 
#>             "Butte", "Ventura", "Placer"), cnum = c(18L, 18L, 
#>             18L, 18L, 55L, 55L, 55L, 14L, 36L, 36L, 35L, 32L, 
#>             9L, 1L, 32L, 18L, 29L, 32L, 29L, 9L, 13L, 42L, 42L, 
#>             53L, 35L, 1L, 18L, 48L, 18L, 36L, 43L, 18L, 18L, 
#>             9L, 18L, 9L, 8L, 6L, 14L, 47L, 40L, 18L, 36L, 42L, 
#>             30L, 18L, 38L, 37L, 38L, 29L, 5L, 53L, 44L, 18L, 
#>             35L, 55L, 37L, 36L, 29L, 35L, 42L, 18L, 18L, 29L, 
#>             18L, 14L, 33L, 6L, 6L, 18L, 18L, 42L, 29L, 9L, 26L, 
#>             23L, 1L, 29L, 53L, 14L, 11L, 15L, 14L, 38L, 48L, 
#>             36L, 43L, 20L, 29L, 9L, 18L, 33L, 32L, 6L, 18L, 2L, 
#>             35L, 18L, 14L, 38L, 6L, 18L, 35L, 35L, 35L, 53L, 
#>             20L, 1L, 33L, 48L, 29L, 26L, 54L, 9L, 36L, 6L, 18L, 
#>             9L, 35L, 14L, 30L, 13L, 44L, 56L, 51L, 26L, 42L, 
#>             18L, 9L, 32L, 41L, 18L, 33L, 18L, 14L, 38L, 18L, 
#>             33L, 32L, 23L, 18L, 35L, 36L, 33L, 42L, 29L, 18L, 
#>             36L, 48L, 18L, 56L, 18L, 18L, 55L, 18L, 46L, 29L, 
#>             42L, 49L, 18L, 27L, 55L, 29L, 37L, 9L, 8L, 40L, 18L, 
#>             18L, 42L, 6L, 13L, 36L, 33L, 18L, 37L, 21L, 18L, 
#>             22L, 22L, 32L, 18L, 29L, 36L, 1L, 29L, 55L, 42L, 
#>             38L, 55L, 32L, 14L, 6L, 18L, 1L, 18L, 32L, 3L, 55L, 
#>             30L), flag = c(NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_), pcttest = c(99L, 100L, 99L, 100L, 100L, 
#>             100L, 99L, 98L, 100L, 100L, 99L, 99L, 93L, 95L, 95L, 
#>             100L, 98L, 100L, 95L, 100L, 100L, 98L, 100L, 99L, 
#>             99L, 100L, 98L, 98L, 100L, 99L, 99L, 100L, 100L, 
#>             100L, 97L, 100L, 100L, 99L, 100L, 100L, 100L, 99L, 
#>             99L, 100L, 100L, 99L, 99L, 90L, 100L, 99L, 96L, 98L, 
#>             100L, 99L, 100L, 98L, 66L, 99L, 83L, 98L, 100L, 100L, 
#>             88L, 99L, 92L, 100L, 99L, 98L, 100L, 98L, 99L, 99L, 
#>             100L, 100L, 100L, 89L, 100L, 100L, 100L, 97L, 97L, 
#>             98L, 99L, 100L, 100L, 100L, 99L, 99L, 99L, 99L, 100L, 
#>             100L, 99L, 99L, 99L, 97L, 99L, 98L, 97L, 100L, 99L, 
#>             100L, 100L, 96L, 99L, 99L, 97L, 96L, 100L, 98L, 90L, 
#>             100L, 97L, 98L, 100L, 98L, 99L, 100L, 99L, 99L, 99L, 
#>             99L, 100L, 99L, 97L, 100L, 98L, 98L, 100L, 99L, 100L, 
#>             100L, 97L, 99L, 99L, 100L, 95L, 100L, 97L, 100L, 
#>             99L, 98L, 100L, 96L, 98L, 100L, 97L, 100L, 100L, 
#>             100L, 99L, 100L, 99L, 99L, 98L, 100L, 99L, 98L, 97L, 
#>             100L, 98L, 99L, 99L, 86L, 100L, 96L, 90L, 96L, 93L, 
#>             99L, 100L, 98L, 98L, 90L, 100L, 89L, 99L, 79L, 97L, 
#>             99L, 100L, 100L, 100L, 99L, 100L, 100L, 100L, 100L, 
#>             100L, 99L, 99L, 99L, 98L, 100L, 99L, 95L, 100L, 99L, 
#>             99L, 100L), api00 = c(840L, 516L, 531L, 501L, 720L, 
#>             805L, 778L, 731L, 592L, 669L, 496L, 505L, 467L, 409L, 
#>             522L, 497L, 638L, 609L, 867L, 534L, 705L, 685L, 761L, 
#>             455L, 509L, 771L, 681L, 666L, 751L, 647L, 745L, 474L, 
#>             832L, 559L, 582L, 765L, 694L, 676L, 641L, 744L, 870L, 
#>             510L, 865L, 527L, 782L, 745L, 681L, 500L, 679L, 892L, 
#>             552L, 619L, 616L, 703L, 509L, 724L, 559L, 650L, 806L, 
#>             759L, 740L, 642L, 565L, 565L, 525L, 726L, 863L, 765L, 
#>             893L, 443L, 774L, 398L, 539L, 668L, 776L, 580L, 581L, 
#>             503L, 724L, 476L, 712L, 529L, 870L, 746L, 836L, 680L, 
#>             756L, 878L, 784L, 423L, 588L, 606L, 632L, 753L, 651L, 
#>             743L, 553L, 593L, 528L, 676L, 861L, 678L, 518L, 535L, 
#>             588L, 597L, 770L, 884L, 667L, 819L, 721L, 534L, 713L, 
#>             542L, 648L, 816L, 509L, 493L, 551L, 485L, 893L, 641L, 
#>             709L, 596L, 765L, 609L, 671L, 720L, 669L, 667L, 743L, 
#>             403L, 610L, 650L, 836L, 695L, 542L, 618L, 578L, 551L, 
#>             814L, 467L, 777L, 717L, 610L, 719L, 868L, 678L, 617L, 
#>             418L, 669L, 856L, 723L, 773L, 609L, 780L, 693L, 635L, 
#>             712L, 676L, 660L, 668L, 784L, 472L, 421L, 764L, 646L, 
#>             585L, 556L, 733L, 657L, 667L, 606L, 600L, 522L, 599L, 
#>             706L, 409L, 631L, 635L, 601L, 477L, 845L, 819L, 631L, 
#>             696L, 714L, 788L, 667L, 710L, 568L, 453L, 546L, 847L, 
#>             679L, 477L, 646L, 627L, 521L, 624L), api99 = c(816L, 
#>             476L, 544L, 457L, 659L, 780L, 787L, 731L, 508L, 658L, 
#>             479L, 499L, 460L, 406L, 532L, 440L, 572L, 564L, 816L, 
#>             478L, 685L, 657L, 739L, 403L, 504L, 755L, 673L, 690L, 
#>             687L, 642L, 707L, 449L, 835L, 525L, 589L, 740L, 679L, 
#>             641L, 620L, 701L, 863L, 485L, 858L, 523L, 780L, 691L, 
#>             665L, 491L, 677L, 854L, 475L, 559L, 575L, 652L, 470L, 
#>             670L, 554L, 621L, 803L, 726L, 703L, 579L, 526L, 556L, 
#>             495L, 689L, 848L, 703L, 845L, 436L, 787L, 401L, 500L, 
#>             603L, 728L, 554L, 563L, 442L, 673L, 409L, 694L, 478L, 
#>             852L, 723L, 798L, 657L, 766L, 874L, 760L, 403L, 538L, 
#>             566L, 568L, 696L, 595L, 750L, 499L, 595L, 524L, 678L, 
#>             856L, 669L, 535L, 495L, 533L, 527L, 817L, 867L, 633L, 
#>             801L, 737L, 529L, 631L, 524L, 621L, 812L, 495L, 420L, 
#>             491L, 430L, 890L, 660L, 584L, 583L, 713L, 524L, 641L, 
#>             637L, 536L, 698L, 739L, 384L, 634L, 631L, 772L, 651L, 
#>             497L, 570L, 535L, 471L, 783L, 455L, 750L, 694L, 592L, 
#>             671L, 858L, 680L, 562L, 383L, 650L, 854L, 671L, 732L, 
#>             541L, 774L, 688L, 578L, 709L, 616L, 622L, 575L, 744L, 
#>             497L, 398L, 760L, 636L, 606L, 545L, 703L, 627L, 607L, 
#>             575L, 580L, 509L, 574L, 726L, 410L, 639L, 625L, 574L, 
#>             484L, 799L, 790L, 646L, 642L, 672L, 747L, 601L, 706L, 
#>             504L, 447L, 524L, 814L, 664L, 424L, 620L, 597L, 500L, 
#>             609L), target = c(NA, 16L, 13L, 17L, 7L, 1L, 1L, 
#>             3L, 15L, 7L, 16L, 15L, 17L, 20L, 13L, 18L, 11L, 12L, 
#>             NA, 16L, 6L, 7L, 3L, 20L, 15L, 2L, 6L, 6L, 6L, 8L, 
#>             5L, 18L, NA, 14L, 11L, 3L, 6L, 8L, 9L, 5L, NA, 16L, 
#>             NA, 14L, 1L, 5L, 7L, 15L, 6L, NA, 16L, 12L, 11L, 
#>             7L, 17L, 7L, 12L, 9L, NA, 4L, 5L, 11L, 14L, 12L, 
#>             15L, 6L, NA, 5L, NA, 18L, 1L, 20L, 15L, 10L, 4L, 
#>             12L, 12L, 18L, 6L, 20L, 5L, 16L, NA, 4L, 1L, 7L, 
#>             2L, NA, 2L, 20L, 13L, 12L, 12L, 5L, 10L, 3L, 15L, 
#>             10L, 14L, 6L, NA, 7L, 13L, 15L, 13L, 14L, NA, NA, 
#>             8L, NA, 3L, 14L, 8L, 14L, 9L, NA, 15L, 19L, 15L, 
#>             19L, NA, 7L, 11L, 11L, 4L, 14L, 8L, 8L, 13L, 5L, 
#>             3L, 21L, 8L, 8L, 1L, 7L, 15L, 12L, 13L, 16L, 1L, 
#>             17L, 3L, 5L, 10L, 6L, NA, 6L, 12L, 21L, 8L, NA, 6L, 
#>             3L, 13L, 1L, 6L, 11L, 5L, 9L, 9L, 11L, 3L, 15L, 20L, 
#>             2L, 8L, 10L, 13L, 5L, 9L, 10L, 11L, 11L, 15L, 11L, 
#>             4L, 20L, 8L, 9L, 11L, 16L, 1L, 1L, 8L, 8L, 6L, 3L, 
#>             10L, 5L, 15L, 18L, 14L, NA, 7L, 19L, 9L, 10L, 15L, 
#>             10L), growth = c(24L, 40L, -13L, 44L, 61L, 25L, -9L, 
#>             0L, 84L, 11L, 17L, 6L, 7L, 3L, -10L, 57L, 66L, 45L, 
#>             51L, 56L, 20L, 28L, 22L, 52L, 5L, 16L, 8L, -24L, 
#>             64L, 5L, 38L, 25L, -3L, 34L, -7L, 25L, 15L, 35L, 
#>             21L, 43L, 7L, 25L, 7L, 4L, 2L, 54L, 16L, 9L, 2L, 
#>             38L, 77L, 60L, 41L, 51L, 39L, 54L, 5L, 29L, 3L, 33L, 
#>             37L, 63L, 39L, 9L, 30L, 37L, 15L, 62L, 48L, 7L, -13L, 
#>             -3L, 39L, 65L, 48L, 26L, 18L, 61L, 51L, 67L, 18L, 
#>             51L, 18L, 23L, 38L, 23L, -10L, 4L, 24L, 20L, 50L, 
#>             40L, 64L, 57L, 56L, -7L, 54L, -2L, 4L, -2L, 5L, 9L, 
#>             -17L, 40L, 55L, 70L, -47L, 17L, 34L, 18L, -16L, 5L, 
#>             82L, 18L, 27L, 4L, 14L, 73L, 60L, 55L, 3L, -19L, 
#>             125L, 13L, 52L, 85L, 30L, 83L, 133L, -31L, 4L, 19L, 
#>             -24L, 19L, 64L, 44L, 45L, 48L, 43L, 80L, 31L, 12L, 
#>             27L, 23L, 18L, 48L, 10L, -2L, 55L, 35L, 19L, 2L, 
#>             52L, 41L, 68L, 6L, 5L, 57L, 3L, 60L, 38L, 93L, 40L, 
#>             -25L, 23L, 4L, 10L, -21L, 11L, 30L, 30L, 60L, 31L, 
#>             20L, 13L, 25L, -20L, -1L, -8L, 10L, 27L, -7L, 46L, 
#>             29L, -15L, 54L, 42L, 41L, 66L, 4L, 64L, 6L, 22L, 
#>             33L, 15L, 53L, 26L, 30L, 21L, 15L), sch.wide = c(2L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>             1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>             2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L), comp.imp = c(1L, 2L, 1L, 2L, 2L, 
#>             2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 
#>             1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>             2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 
#>             1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L
#>             ), both = c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>             2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 
#>             1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 
#>             1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), awards = c(1L, 2L, 
#>             1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 
#>             2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>             2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 
#>             1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 2L, 2L), meals = c(33L, 98L, 64L, 83L, 26L, 7L, 
#>             9L, 45L, 75L, 47L, 69L, 60L, 66L, 54L, 35L, 95L, 
#>             75L, 47L, 6L, 93L, 38L, 32L, 24L, 89L, 44L, 15L, 
#>             18L, 9L, 35L, 60L, 13L, 98L, 25L, 78L, 63L, 54L, 
#>             21L, 24L, 23L, 34L, 2L, 31L, 4L, 37L, 14L, 31L, 20L, 
#>             59L, 31L, 6L, 66L, 58L, 71L, 67L, 75L, 15L, 78L, 
#>             64L, 40L, 36L, 42L, 69L, 99L, 75L, 51L, 45L, 14L, 
#>             13L, 7L, 79L, 4L, 83L, 92L, 51L, 25L, 74L, 52L, 95L, 
#>             51L, 96L, 3L, 74L, 7L, 20L, 24L, 50L, 20L, 4L, 8L, 
#>             100L, 61L, 48L, 51L, 17L, 56L, 12L, 80L, 72L, 77L, 
#>             18L, 10L, 18L, 39L, 64L, 54L, 76L, 1L, 6L, 45L, 11L, 
#>             9L, 72L, 19L, 100L, 47L, 1L, 72L, 97L, 67L, 85L, 
#>             1L, 6L, 77L, 83L, 52L, 42L, 38L, 39L, 100L, 19L, 
#>             19L, 99L, 34L, 78L, 10L, 36L, 98L, 23L, 69L, 66L, 
#>             28L, 73L, 25L, 29L, 31L, 33L, 0L, 21L, 49L, 100L, 
#>             24L, 4L, 46L, 24L, 82L, 29L, 46L, 44L, 5L, 76L, 36L, 
#>             43L, 5L, 20L, 98L, 1L, 20L, 23L, 33L, 33L, 24L, 41L, 
#>             57L, 36L, 91L, 21L, 13L, 98L, 67L, 23L, 38L, 86L, 
#>             14L, 13L, 74L, 72L, 45L, 39L, 38L, 8L, 69L, 47L, 
#>             38L, 34L, 36L, 98L, 36L, 56L, 88L, 28L), ell = c(25L, 
#>             77L, 23L, 63L, 17L, 0L, 2L, 2L, 58L, 23L, 25L, 10L, 
#>             43L, 26L, 7L, 66L, 73L, 20L, 16L, 39L, 6L, 18L, 6L, 
#>             59L, 18L, 3L, 3L, 5L, 7L, 23L, 1L, 17L, 10L, 27L, 
#>             22L, 18L, 0L, 14L, 0L, 2L, 2L, 30L, 7L, 37L, 0L, 
#>             3L, 4L, 46L, 13L, 3L, 42L, 20L, 11L, 0L, 32L, 8L, 
#>             27L, 27L, 43L, 3L, 37L, 22L, 35L, 62L, 17L, 8L, 1L, 
#>             3L, 4L, 37L, 4L, 70L, 80L, 15L, 10L, 22L, 33L, 73L, 
#>             3L, 38L, 0L, 9L, 2L, 11L, 3L, 5L, 0L, 2L, 7L, 62L, 
#>             1L, 28L, 18L, 5L, 25L, 0L, 33L, 21L, 32L, 1L, 7L, 
#>             13L, 22L, 46L, 24L, 18L, 1L, 8L, 16L, 10L, 7L, 50L, 
#>             0L, 40L, 14L, 1L, 37L, 84L, 17L, 33L, 1L, 6L, 2L, 
#>             32L, 1L, 28L, 22L, 20L, 50L, 6L, 17L, 5L, 11L, 33L, 
#>             1L, 14L, 66L, 17L, 41L, 12L, 9L, 54L, 8L, 16L, 24L, 
#>             17L, 2L, 5L, 50L, 24L, 18L, 19L, 12L, 6L, 33L, 0L, 
#>             33L, 28L, 4L, 51L, 8L, 5L, 3L, 25L, 69L, 0L, 10L, 
#>             16L, 6L, 29L, 10L, 7L, 15L, 21L, 34L, 18L, 0L, 49L, 
#>             59L, 10L, 0L, 34L, 4L, 6L, 45L, 50L, 21L, 22L, 14L, 
#>             3L, 34L, 37L, 8L, 12L, 39L, 56L, 14L, 6L, 69L, 4L
#>             ), yr.rnd = c(1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), mobility = c(11L, 
#>             26L, 17L, 13L, 31L, 12L, 10L, 15L, 23L, 19L, 26L, 
#>             22L, 16L, 44L, 18L, 18L, 12L, 8L, 17L, 20L, 8L, 6L, 
#>             15L, 10L, 13L, 11L, 12L, 9L, 9L, 18L, 6L, 31L, 16L, 
#>             20L, 13L, 23L, 17L, 17L, 9L, 18L, 8L, 12L, 17L, 17L, 
#>             15L, 22L, 4L, 13L, 9L, 13L, 15L, 9L, 24L, 15L, 32L, 
#>             10L, 12L, 22L, 15L, 38L, 21L, 21L, 18L, 11L, 12L, 
#>             38L, 18L, 16L, 16L, 16L, 9L, 17L, 27L, 9L, 12L, 12L, 
#>             8L, 17L, 16L, 8L, 7L, 5L, 20L, 26L, 16L, 14L, 14L, 
#>             3L, 8L, 22L, 20L, 7L, 19L, 8L, 19L, 8L, 25L, 12L, 
#>             4L, 14L, 12L, 20L, 9L, 26L, 17L, 17L, 6L, 8L, 22L, 
#>             12L, 6L, 17L, 6L, 21L, 16L, 6L, 16L, 6L, 46L, 7L, 
#>             8L, 8L, 20L, 23L, 13L, 15L, 18L, 29L, 17L, 55L, 6L, 
#>             19L, 19L, 21L, 17L, 13L, 23L, 7L, 38L, 12L, 14L, 
#>             13L, 13L, 21L, 10L, 16L, 4L, 10L, 9L, 72L, 10L, 17L, 
#>             99L, 12L, 41L, 16L, 12L, 19L, 10L, 9L, 15L, 13L, 
#>             12L, 15L, 23L, 4L, 8L, 12L, 14L, 11L, 22L, 11L, 15L, 
#>             15L, 9L, 1L, 8L, 12L, 12L, 96L, 18L, 6L, 12L, 10L, 
#>             11L, 26L, 13L, 11L, 20L, 11L, 25L, 7L, 22L, 13L, 
#>             13L, 22L, 12L, 10L, 6L, 6L), acs.k3 = c(20L, 19L, 
#>             20L, 17L, 20L, 19L, 19L, 19L, 20L, 18L, NA, NA, NA, 
#>             NA, NA, 19L, 22L, NA, NA, 18L, 20L, NA, 19L, NA, 
#>             NA, 20L, NA, NA, 16L, NA, NA, 20L, 20L, 18L, NA, 
#>             21L, NA, NA, NA, 19L, NA, NA, 19L, NA, 16L, 18L, 
#>             NA, NA, NA, 20L, NA, 19L, 20L, 18L, 19L, NA, NA, 
#>             NA, 20L, 18L, 19L, 21L, 20L, NA, NA, 19L, 20L, 21L, 
#>             20L, NA, NA, 20L, 20L, NA, 19L, 19L, NA, 22L, 18L, 
#>             NA, NA, NA, 19L, 20L, 18L, NA, 19L, NA, NA, 19L, 
#>             16L, 18L, 19L, NA, 20L, NA, 20L, NA, NA, 18L, 19L, 
#>             NA, NA, NA, 19L, 20L, NA, 19L, NA, 19L, NA, NA, NA, 
#>             19L, NA, NA, 20L, 17L, NA, NA, NA, NA, 18L, 20L, 
#>             NA, 20L, 20L, 18L, 18L, NA, NA, NA, NA, 19L, 18L, 
#>             NA, 19L, NA, 20L, NA, 20L, NA, 20L, NA, NA, 19L, 
#>             NA, NA, 20L, NA, NA, 18L, 18L, NA, 19L, NA, NA, NA, 
#>             NA, 18L, NA, 19L, NA, NA, 20L, NA, NA, NA, NA, NA, 
#>             NA, 17L, NA, NA, NA, NA, NA, NA, 19L, NA, NA, NA, 
#>             19L, NA, 19L, 18L, 18L, 19L, 24L, NA, 20L, NA, NA, 
#>             20L, 20L, 19L, NA, NA, 20L, NA), acs.46 = c(29L, 
#>             28L, 30L, 30L, 30L, 29L, 31L, 31L, 32L, 29L, 32L, 
#>             32L, NA, 32L, NA, 30L, 30L, 32L, NA, 23L, 31L, 33L, 
#>             32L, NA, NA, 28L, NA, NA, 24L, 31L, NA, 31L, 34L, 
#>             27L, 34L, 33L, 24L, 25L, NA, 28L, 26L, NA, 27L, NA, 
#>             22L, 30L, NA, 26L, 30L, 26L, NA, 28L, 29L, 29L, 34L, 
#>             NA, 23L, 26L, 30L, 22L, 29L, 32L, 29L, NA, NA, 30L, 
#>             46L, 30L, 30L, 28L, NA, 29L, 30L, 28L, 22L, NA, NA, 
#>             31L, 29L, 27L, NA, 28L, 29L, 30L, 28L, 25L, 29L, 
#>             28L, NA, 28L, 26L, 26L, 31L, 30L, 31L, NA, 30L, NA, 
#>             NA, 30L, 26L, 38L, NA, 30L, 30L, 27L, NA, 29L, NA, 
#>             28L, NA, 28L, NA, 33L, 28L, NA, 30L, 25L, 30L, 21L, 
#>             25L, NA, 24L, 31L, 25L, 28L, 28L, 28L, 27L, NA, NA, 
#>             34L, NA, 32L, 27L, NA, 28L, NA, 31L, 27L, 33L, NA, 
#>             31L, NA, NA, 30L, NA, NA, 23L, NA, NA, 30L, 30L, 
#>             32L, 27L, 28L, NA, 28L, NA, 29L, NA, 26L, NA, NA, 
#>             23L, NA, NA, NA, NA, NA, NA, 20L, 30L, NA, 28L, NA, 
#>             NA, NA, 23L, NA, 33L, NA, 30L, 29L, 30L, NA, 28L, 
#>             26L, 24L, NA, 28L, NA, NA, 31L, 31L, 28L, NA, 36L, 
#>             32L, NA), acs.core = c(NA, NA, NA, NA, NA, NA, NA, 
#>             NA, NA, NA, 30L, 32L, 27L, 29L, 28L, NA, NA, 34L, 
#>             30L, 21L, NA, 28L, NA, 26L, 32L, NA, 28L, 27L, NA, 
#>             30L, 28L, NA, NA, NA, 29L, NA, 29L, 24L, 25L, NA, 
#>             27L, 27L, NA, 27L, NA, NA, 28L, 23L, 28L, NA, 27L, 
#>             NA, NA, NA, NA, 31L, 23L, 29L, NA, NA, NA, 30L, NA, 
#>             27L, 26L, NA, NA, NA, NA, 24L, 27L, NA, NA, 26L, 
#>             NA, NA, 28L, NA, NA, NA, 22L, NA, NA, NA, NA, 25L, 
#>             NA, 28L, 28L, NA, NA, NA, NA, 29L, NA, 25L, NA, 25L, 
#>             27L, 29L, NA, NA, 30L, 27L, NA, NA, 23L, NA, 27L, 
#>             NA, 29L, 27L, 24L, NA, 29L, 29L, NA, 25L, 31L, 25L, 
#>             NA, 21L, NA, NA, 23L, NA, NA, NA, NA, 29L, 28L, 35L, 
#>             27L, NA, NA, 31L, NA, 20L, NA, 22L, NA, 29L, NA, 
#>             35L, 26L, NA, 31L, 29L, 25L, 32L, 28L, NA, NA, 30L, 
#>             NA, 28L, 29L, 26L, 33L, NA, 27L, NA, 28L, 15L, 28L, 
#>             27L, 27L, 26L, 28L, 30L, 30L, 19L, 31L, 27L, 24L, 
#>             26L, 29L, 29L, NA, 25L, 32L, 27L, NA, 29L, NA, NA, 
#>             NA, NA, NA, 28L, NA, 28L, 26L, NA, NA, NA, 29L, 26L, 
#>             NA, 24L), pct.resp = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 87L, 67L, 50L, 70L, 71L, 2L, 91L, 
#>             0L, 100L, 90L, 83L, 86L, 98L, 5L, 72L, 100L, 84L, 
#>             80L, 100L, 96L, 77L, 90L, 57L, 0L, 94L, 91L, 89L, 
#>             98L, 100L, 94L, 92L, 100L, 74L, 72L, 84L, 94L, 66L, 
#>             97L, 82L, 100L, 87L, 77L, 71L, 5L, 3L, 70L, 86L, 
#>             50L, 96L, 99L, 90L, 42L, 93L, 1L, 97L, 90L, 47L, 
#>             84L, 55L, 85L, 51L, 62L, 0L, 62L, 96L, 54L, 62L, 
#>             95L, 99L, 95L, 93L, 100L, 91L, 96L, 73L, 84L, 98L, 
#>             91L, 64L, 24L, 38L, 85L, 94L, 99L, 96L, 89L, 72L, 
#>             77L, 100L, 96L, 89L, 77L, 97L, 6L, 85L, 56L, 94L, 
#>             79L, 100L, 88L, 76L, 94L, 88L, 99L, 69L, 77L, 86L, 
#>             73L, 55L, 100L, 97L, 91L, 98L, 87L, 61L, 95L, 85L, 
#>             95L, 92L, 1L, 49L, 82L, 80L, 95L, 99L, 12L, 58L, 
#>             96L, 82L, 78L, 95L, 2L, 76L, 91L, 97L, 93L, 96L, 
#>             61L, 67L, 82L, 88L, 73L, 92L, 88L, 95L, 74L, 87L, 
#>             96L, 88L, 96L, 93L, 89L, 28L, 91L, 96L, 91L, 63L, 
#>             85L, 98L, 91L, 66L, 89L, 77L, 43L, 86L, 82L, 68L, 
#>             87L, 86L, 87L, 84L, 82L, 99L, 59L, 98L, 1L, 88L, 
#>             97L, 0L, 99L, 74L, 8L, 100L, 88L, 5L, 96L, 93L, 97L, 
#>             93L), not.hsg = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 31L, 49L, 12L, 20L, 45L, 9L, 22L, 0L, 
#>             60L, 5L, 10L, 2L, 58L, 28L, 1L, 6L, 5L, 2L, 20L, 
#>             1L, 21L, 5L, 20L, 0L, 17L, 4L, 9L, 8L, 11L, 2L, 36L, 
#>             1L, 42L, 3L, 5L, 15L, 26L, 17L, 0L, 53L, 31L, 11L, 
#>             1L, 28L, 11L, 30L, 21L, 6L, 2L, 11L, 13L, 31L, 55L, 
#>             17L, 9L, 0L, 2L, 0L, 32L, 2L, 56L, 56L, 0L, 34L, 
#>             30L, 15L, 51L, 18L, 64L, 6L, 26L, 6L, 6L, 3L, 3L, 
#>             1L, 2L, 4L, 49L, 0L, 14L, 21L, 3L, 17L, 2L, 35L, 
#>             36L, 40L, 4L, 5L, 10L, 27L, 37L, 28L, 18L, 2L, 2L, 
#>             11L, 10L, 6L, 37L, 2L, 43L, 12L, 1L, 22L, 75L, 22L, 
#>             48L, 0L, 13L, 18L, 26L, 7L, 29L, 6L, 12L, 47L, 8L, 
#>             20L, 25L, 8L, 19L, 1L, 13L, 21L, 19L, 34L, 36L, 3L, 
#>             51L, 0L, 5L, 27L, 13L, 0L, 12L, 25L, 47L, 10L, 0L, 
#>             10L, 7L, 15L, 4L, 16L, 33L, 6L, 24L, 22L, 10L, 3L, 
#>             19L, 73L, 1L, 14L, 20L, 16L, 12L, 6L, 2L, 27L, 19L, 
#>             36L, 21L, 3L, 49L, 49L, 15L, 20L, 61L, 6L, 3L, 22L, 
#>             37L, 50L, 10L, 10L, 0L, 22L, 50L, 20L, 9L, 7L, 10L, 
#>             18L, 25L, 41L, 10L), hsg = c(0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 34L, 20L, 33L, 20L, 36L, 
#>             64L, 20L, 0L, 24L, 29L, 21L, 21L, 23L, 40L, 8L, 19L, 
#>             21L, 19L, 33L, 11L, 53L, 8L, 30L, 100L, 40L, 36L, 
#>             43L, 24L, 51L, 3L, 25L, 4L, 24L, 20L, 15L, 22L, 30L, 
#>             22L, 5L, 26L, 21L, 24L, 15L, 55L, 27L, 31L, 19L, 
#>             22L, 27L, 25L, 33L, 40L, 23L, 0L, 32L, 9L, 8L, 3L, 
#>             29L, 12L, 26L, 27L, 100L, 11L, 25L, 25L, 30L, 44L, 
#>             19L, 21L, 35L, 26L, 12L, 35L, 11L, 17L, 4L, 9L, 28L, 
#>             10L, 18L, 27L, 20L, 31L, 16L, 47L, 21L, 34L, 40L, 
#>             3L, 19L, 27L, 35L, 36L, 51L, 4L, 5L, 19L, 12L, 8L, 
#>             25L, 20L, 35L, 31L, 3L, 33L, 15L, 23L, 29L, 2L, 30L, 
#>             41L, 27L, 29L, 34L, 25L, 16L, 25L, 14L, 0L, 27L, 
#>             20L, 37L, 15L, 19L, 53L, 16L, 36L, 30L, 9L, 27L, 
#>             20L, 15L, 20L, 30L, 2L, 14L, 13L, 24L, 38L, 10L, 
#>             25L, 9L, 46L, 12L, 23L, 21L, 15L, 28L, 19L, 27L, 
#>             10L, 35L, 17L, 5L, 23L, 15L, 24L, 22L, 24L, 22L, 
#>             22L, 22L, 30L, 26L, 15L, 20L, 18L, 19L, 21L, 24L, 
#>             25L, 7L, 23L, 36L, 50L, 20L, 11L, 0L, 37L, 21L, 28L, 
#>             21L, 17L, 48L, 20L, 34L, 58L, 25L), some.col = c(0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L, 15L, 
#>             23L, 31L, 11L, 18L, 32L, 0L, 13L, 27L, 31L, 46L, 
#>             14L, 18L, 22L, 30L, 31L, 24L, 30L, 30L, 21L, 28L, 
#>             27L, 0L, 19L, 37L, 28L, 35L, 27L, 7L, 26L, 18L, 17L, 
#>             24L, 47L, 29L, 20L, 34L, 26L, 12L, 27L, 39L, 39L, 
#>             10L, 22L, 17L, 28L, 29L, 40L, 26L, 31L, 11L, 14L, 
#>             17L, 33L, 24L, 21L, 14L, 15L, 28L, 8L, 12L, 0L, 45L, 
#>             32L, 31L, 16L, 26L, 14L, 29L, 25L, 23L, 35L, 30L, 
#>             28L, 32L, 23L, 22L, 13L, 36L, 38L, 33L, 34L, 37L, 
#>             36L, 13L, 15L, 16L, 32L, 18L, 37L, 25L, 18L, 20L, 
#>             21L, 11L, 13L, 31L, 29L, 23L, 22L, 40L, 18L, 39L, 
#>             12L, 19L, 6L, 31L, 10L, 14L, 25L, 29L, 33L, 40L, 
#>             23L, 35L, 25L, 17L, 30L, 0L, 20L, 33L, 26L, 37L, 
#>             34L, 6L, 30L, 22L, 24L, 29L, 14L, 40L, 23L, 22L, 
#>             20L, 6L, 31L, 28L, 14L, 17L, 25L, 37L, 32L, 22L, 
#>             35L, 31L, 19L, 31L, 29L, 26L, 43L, 24L, 19L, 7L, 
#>             23L, 25L, 22L, 34L, 26L, 28L, 38L, 28L, 26L, 16L, 
#>             20L, 40L, 15L, 13L, 34L, 33L, 8L, 27L, 29L, 32L, 
#>             21L, 0L, 28L, 32L, 50L, 25L, 14L, 20L, 20L, 33L, 
#>             10L, 29L, 20L, 0L, 34L), col.grad = c(0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 10L, 12L, 29L, 23L, 
#>             8L, 9L, 16L, 100L, 2L, 28L, 28L, 26L, 3L, 13L, 27L, 
#>             30L, 34L, 44L, 13L, 42L, 5L, 29L, 21L, 0L, 20L, 19L, 
#>             16L, 28L, 10L, 35L, 10L, 42L, 14L, 42L, 20L, 27L, 
#>             21L, 19L, 35L, 8L, 13L, 22L, 33L, 7L, 31L, 19L, 22L, 
#>             39L, 24L, 22L, 17L, 15L, 7L, 67L, 19L, 39L, 39L, 
#>             39L, 23L, 41L, 5L, 4L, 0L, 10L, 10L, 22L, 3L, 9L, 
#>             2L, 33L, 11L, 34L, 28L, 25L, 40L, 41L, 42L, 45L, 
#>             8L, 48L, 21L, 12L, 31L, 12L, 33L, 5L, 22L, 8L, 18L, 
#>             35L, 25L, 17L, 9L, 16L, 6L, 38L, 25L, 30L, 32L, 41L, 
#>             13L, 30L, 4L, 15L, 44L, 24L, 2L, 18L, 12L, 43L, 30L, 
#>             11L, 11L, 20L, 10L, 22L, 35L, 8L, 36L, 40L, 25L, 
#>             33L, 11L, 32L, 23L, 19L, 30L, 6L, 7L, 36L, 8L, 10L, 
#>             37L, 24L, 27L, 36L, 31L, 19L, 13L, 28L, 40L, 18L, 
#>             20L, 15L, 36L, 25L, 21L, 32L, 10L, 21L, 12L, 43L, 
#>             19L, 2L, 44L, 31L, 30L, 21L, 28L, 34L, 32L, 18L, 
#>             25L, 16L, 29L, 27L, 14L, 13L, 16L, 21L, 5L, 35L, 
#>             36L, 16L, 3L, 0L, 35L, 23L, 0L, 11L, 14L, 31L, 27L, 
#>             33L, 33L, 25L, 16L, 0L, 25L), grad.sch = c(0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 4L, 3L, 6L, 
#>             0L, 0L, 11L, 0L, 2L, 11L, 10L, 5L, 1L, 1L, 43L, 16L, 
#>             8L, 11L, 4L, 17L, 1L, 30L, 2L, 0L, 3L, 4L, 4L, 4L, 
#>             1L, 54L, 3L, 36L, 2L, 11L, 13L, 8L, 3L, 9L, 33L, 
#>             2L, 8L, 5L, 12L, 0L, 9L, 4L, 11L, 4L, 7L, 16L, 6L, 
#>             3L, 1L, 0L, 7L, 28L, 30L, 43L, 2L, 16L, 4L, 1L, 0L, 
#>             0L, 3L, 7L, 0L, 3L, 1L, 11L, 3L, 11L, 19L, 7L, 17L, 
#>             10L, 30L, 20L, 1L, 6L, 9L, 7L, 13L, 3L, 12L, 1L, 
#>             6L, 2L, 6L, 39L, 9L, 3L, 2L, 0L, 3L, 45L, 55L, 10L, 
#>             17L, 22L, 2L, 8L, 0L, 4L, 41L, 3L, 1L, 7L, 1L, 41L, 
#>             2L, 2L, 2L, 5L, 4L, 12L, 12L, 4L, 12L, 40L, 3L, 5L, 
#>             8L, 15L, 11L, 2L, 5L, 2L, 3L, 23L, 1L, 30L, 20L, 
#>             7L, 10L, 55L, 13L, 16L, 2L, 7L, 24L, 10L, 33L, 2L, 
#>             14L, 5L, 5L, 15L, 9L, 11L, 9L, 21L, 8L, 1L, 28L, 
#>             7L, 14L, 5L, 12L, 8L, 5L, 6L, 8L, 2L, 4L, 14L, 1L, 
#>             7L, 16L, 6L, 1L, 9L, 25L, 7L, 2L, 0L, 7L, 24L, 50L, 
#>             4L, 1L, 2L, 23L, 10L, 0L, 9L, 4L, 0L, 5L), avg.ed = c(3.3199999332428, 
#>             1.66999995708466, 2.33999991416931, 1.86000001430511, 
#>             3.17000007629395, 3.64000010490417, 3.54999995231628, 
#>             3.09999990463257, 2.17000007629395, 2.8199999332428, 
#>             2.21000003814697, 2.22000002861023, 2.00999999046326, 
#>             2.78999996185303, 2.73000001907349, 1.82000005245209, 
#>             2.26999998092651, 2.75, 4, 1.61000001430511, 3.10999989509583, 
#>             3.05999994277954, 3.13000011444092, 1.67999994754791, 
#>             2.19000005722046, 4.03000020980835, 3.30999994277954, 
#>             3.20000004768372, 3.41000008583069, 2.48000001907349, 
#>             3.63000011444092, 2.11999988555908, 3.71000003814697, 
#>             2.54999995231628, 2, 2.50999999046326, 2.83999991416931, 
#>             2.60999989509583, 2.97000002861023, 2.39000010490417, 
#>             4.36999988555908, 2.19000005722046, 4.09000015258789, 
#>             2.10999989509583, 3.36999988555908, 3.19000005722046, 
#>             2.90000009536743, 2.45000004768372, 2.8199999332428, 
#>             3.96000003814697, 1.78999996185303, 2.47000002861023, 
#>             2.85999989509583, 3.41000008583069, 1.97000002861023, 
#>             3, 2.34999990463257, 2.82999992370605, 3.14000010490417, 
#>             3.08999991416931, 3.07999992370605, 2.70000004768372, 
#>             2.20000004768372, 1.76999998092651, 3.32999992370605, 
#>             2.82999992370605, 3.84999990463257, 3.88000011444092, 
#>             4.21999979019165, 2.34999990463257, 3.5699999332428, 
#>             1.75999999046326, 1.67999994754791, 2, 2.3199999332428, 
#>             2.29999995231628, 2.8199999332428, 1.73000001907349, 
#>             2.35999989509583, 1.57000005245209, 3.21000003814697, 
#>             2.30999994277954, 3.1800000667572, 3.4300000667572, 
#>             2.97000002861023, 3.55999994277954, 3.4300000667572, 
#>             3.95000004768372, 3.67000007629395, 1.8400000333786, 
#>             3.49000000953674, 2.9300000667572, 2.5699999332428, 
#>             3.30999994277954, 2.53999996185303, 3.38000011444092, 
#>             1.88999998569489, 2.41000008583069, 1.96000003814697, 
#>             2.82999992370605, 3.99000000953674, 3.03999996185303, 
#>             2.42000007629395, 2.04999995231628, 2.24000000953674, 
#>             2.24000000953674, 4.19999980926514, 4.26000022888184, 
#>             3.09999990463257, 3.34999990463257, 3.64000010490417, 
#>             2.19000005722046, 3.22000002861023, 1.83000004291534, 
#>             2.67000007629395, 4.21000003814697, 2.52999997138977, 
#>             1.37999999523163, 2.66000008583069, 1.87000000476837, 
#>             4.23000001907349, 2.76999998092651, 2.36999988555908, 
#>             2.35999989509583, 2.86999988555908, 2.26999998092651, 
#>             3.0699999332428, 3.20000004768372, 1.96000003814697, 
#>             3.29999995231628, 3.79999995231628, 2.51999998092651, 
#>             3.07999992370605, 2.51999998092651, 3.46000003814697, 
#>             3, 2.27999997138977, 2.85999989509583, 2.0699999332428, 
#>             2.11999988555908, 3.66000008583069, 1.82000005245209, 
#>             3.5, 3.52999997138977, 2.64000010490417, 2.89000010490417, 
#>             4.44000005722046, 3.19000005722046, 2.88000011444092, 
#>             1.99000000953674, 2.84999990463257, 3.78999996185303, 
#>             2.9300000667572, 3.61999988555908, 2.44000005722046, 
#>             3.44000005722046, 2.79999995231628, 2.44000005722046, 
#>             3.33999991416931, 2.50999999046326, 2.78999996185303, 
#>             2.82999992370605, 3.6800000667572, 2.61999988555908, 
#>             1.41999995708466, 3.9300000667572, 2.95000004768372, 
#>             3.02999997138977, 2.75, 3.04999995231628, 3.13000011444092, 
#>             3.16000008583069, 2.52999997138977, 2.79999995231628, 
#>             2.19000005722046, 2.6800000667572, 3.33999991416931, 
#>             1.97000002861023, 2.09999990463257, 2.99000000953674, 
#>             2.74000000953674, 1.62000000476837, 3.16000008583069, 
#>             3.71000003814697, 2.63000011444092, 1.98000001907349, 
#>             1.5, 3.09999990463257, 3.40000009536743, 4, 2.38000011444092, 
#>             1.96000003814697, 2.67000007629395, 3.33999991416931, 
#>             3.23000001907349, 2.67000007629395, 2.85999989509583, 
#>             2.40000009536743, 1.61000001430511, 2.91000008583069
#>             ), full = c(100L, 57L, 81L, 64L, 90L, 95L, 96L, 93L, 
#>             91L, 96L, 84L, 65L, 93L, 55L, 80L, 67L, 97L, 89L, 
#>             100L, 90L, 97L, 89L, 78L, 81L, 81L, 95L, 77L, 95L, 
#>             88L, 100L, 97L, 31L, 91L, 98L, 66L, 94L, 94L, 84L, 
#>             47L, 96L, 97L, 82L, 100L, 85L, 100L, 97L, 84L, 88L, 
#>             93L, 93L, 100L, 95L, 100L, 83L, 78L, 98L, 77L, 100L, 
#>             95L, 100L, 97L, 87L, 24L, 91L, 68L, 95L, 100L, 97L, 
#>             93L, 64L, 92L, 81L, 80L, 72L, 100L, 84L, 94L, 80L, 
#>             89L, 56L, 100L, 95L, 96L, 97L, 100L, 99L, 100L, 100L, 
#>             99L, 100L, 73L, 92L, 91L, 86L, 90L, 98L, 67L, 81L, 
#>             89L, 93L, 100L, 76L, 79L, 56L, 78L, 96L, 93L, 100L, 
#>             100L, 100L, 96L, 90L, 100L, 94L, 97L, 93L, 61L, 75L, 
#>             80L, 73L, 100L, 100L, 100L, 100L, 100L, 82L, 88L, 
#>             74L, 82L, 84L, 92L, 62L, 91L, 85L, 100L, 91L, 78L, 
#>             94L, 81L, 70L, 86L, 84L, 100L, 88L, 84L, 100L, 93L, 
#>             95L, 94L, 55L, 88L, 96L, 73L, 92L, 84L, 95L, 85L, 
#>             81L, 99L, 67L, 94L, 92L, 95L, 87L, 78L, 98L, 92L, 
#>             83L, 66L, 81L, 80L, 92L, 96L, 96L, 66L, 84L, 92L, 
#>             70L, 100L, 97L, 71L, 83L, 97L, 100L, 82L, 91L, 96L, 
#>             68L, 88L, 88L, 83L, 68L, 65L, 67L, 100L, 42L, 95L, 
#>             78L, 95L, 97L), emer = c(0L, 40L, 26L, 24L, 7L, 0L, 
#>             0L, 8L, 14L, 0L, 18L, 37L, 17L, 26L, 19L, 33L, 3L, 
#>             13L, 7L, 14L, 0L, 11L, 22L, 19L, 15L, 0L, 17L, 6L, 
#>             4L, 8L, 3L, 63L, 3L, 9L, 35L, 6L, 13L, 16L, 47L, 
#>             4L, 6L, 18L, 3L, 18L, 0L, 3L, 9L, 0L, 7L, 0L, 0L, 
#>             8L, 0L, 9L, 23L, 0L, 17L, 6L, 5L, 0L, 3L, 5L, 72L, 
#>             15L, 34L, 5L, 0L, 3L, 4L, 29L, 10L, 22L, 17L, 28L, 
#>             0L, 13L, 13L, 20L, 11L, 44L, 2L, 0L, 7L, 3L, 0L, 
#>             3L, 0L, 0L, 4L, 12L, 19L, 17L, 15L, 14L, 10L, 2L, 
#>             28L, 14L, 11L, 5L, 0L, 12L, 24L, 40L, 16L, 4L, 7L, 
#>             0L, 21L, 0L, 4L, 14L, 0L, 9L, 3L, 8L, 39L, 25L, 17L, 
#>             30L, 0L, 10L, 0L, 0L, 0L, 11L, 6L, 11L, 18L, 14L, 
#>             8L, 15L, 8L, 15L, 0L, 5L, 11L, 6L, 16L, 37L, 7L, 
#>             16L, 3L, 12L, 1L, 0L, 7L, 3L, 6L, 42L, 12L, 4L, 24L, 
#>             14L, 12L, 5L, 15L, 3L, 4L, 33L, 6L, 8L, 8L, 10L, 
#>             19L, 2L, 10L, 13L, 25L, 19L, 13L, 0L, 1L, 6L, 28L, 
#>             14L, 8L, 30L, 0L, 6L, 18L, 17L, 6L, 3L, 7L, 9L, 0L, 
#>             26L, 12L, 5L, 17L, 28L, 34L, 30L, 0L, 39L, 4L, 13L, 
#>             5L, 3L), enroll = c(276L, 841L, 441L, 298L, 354L, 
#>             330L, 385L, 583L, 763L, 381L, 1293L, 1043L, 2165L, 
#>             739L, 1894L, 1112L, 515L, 1116L, 739L, 262L, 528L, 
#>             912L, 278L, 357L, 2552L, 266L, 1105L, 1586L, 256L, 
#>             1173L, 539L, 443L, 450L, 553L, 1527L, 589L, 363L, 
#>             475L, 331L, 312L, 558L, 983L, 474L, 1423L, 184L, 
#>             446L, 682L, 491L, 715L, 369L, 179L, 681L, 263L, 313L, 
#>             522L, 1820L, 598L, 1162L, 339L, 334L, 323L, 655L, 
#>             388L, 817L, 1033L, 342L, 355L, 537L, 382L, 2039L, 
#>             1345L, 444L, 603L, 390L, 264L, 158L, 618L, 643L, 
#>             424L, 541L, 532L, 473L, 337L, 447L, 334L, 1115L, 
#>             290L, 767L, 1956L, 660L, 285L, 143L, 555L, 829L, 
#>             382L, 695L, 571L, 637L, 529L, 619L, 270L, 775L, 1515L, 
#>             954L, 441L, 387L, 633L, 227L, 893L, 155L, 1771L, 
#>             635L, 588L, 325L, 725L, 1469L, 437L, 195L, 1087L, 
#>             554L, 445L, 119L, 292L, 332L, 358L, 339L, 386L, 250L, 
#>             587L, 1989L, 802L, 608L, 1139L, 262L, 304L, 525L, 
#>             459L, 195L, 492L, 480L, 615L, 892L, 437L, 1148L, 
#>             1032L, 390L, 1692L, 2247L, 547L, 1068L, 1191L, 365L, 
#>             770L, 934L, 678L, 348L, 714L, 708L, 2018L, 271L, 
#>             895L, 307L, 1788L, 216L, 620L, 1377L, 1115L, 2181L, 
#>             1783L, 696L, 933L, 153L, 1524L, 1389L, 2171L, 1313L, 
#>             542L, 1684L, 213L, 1520L, 1012L, 3156L, 410L, 1358L, 
#>             364L, 169L, 368L, 190L, 368L, 763L, 601L, 2237L, 
#>             1602L, 420L, 613L, 446L, 1754L, 423L, 482L, 599L), 
#>             api.stu = c(241L, 631L, 415L, 288L, 319L, 315L, 363L, 
#>             510L, 652L, 322L, 1035L, 815L, 1850L, 658L, 1451L, 
#>             931L, 447L, 966L, 585L, 192L, 479L, 796L, 266L, 302L, 
#>             2238L, 241L, 851L, 1349L, 222L, 923L, 494L, 401L, 
#>             397L, 509L, 1458L, 509L, 306L, 402L, 285L, 266L, 
#>             515L, 853L, 397L, 780L, 148L, 356L, 645L, 384L, 643L, 
#>             327L, 143L, 602L, 226L, 256L, 437L, 1607L, 340L, 
#>             1077L, 243L, 244L, 257L, 622L, 299L, 675L, 884L, 
#>             293L, 284L, 438L, 312L, 1769L, 565L, 368L, 532L, 
#>             339L, 238L, 124L, 545L, 567L, 386L, 478L, 303L, 397L, 
#>             278L, 354L, 265L, 1099L, 256L, 735L, 1756L, 597L, 
#>             250L, 133L, 484L, 714L, 304L, 626L, 436L, 594L, 492L, 
#>             542L, 239L, 653L, 1309L, 746L, 383L, 338L, 364L, 
#>             185L, 749L, 137L, 1454L, 461L, 318L, 288L, 613L, 
#>             1344L, 366L, 168L, 963L, 490L, 395L, 106L, 228L, 
#>             320L, 273L, 301L, 323L, 219L, 478L, 1581L, 386L, 
#>             544L, 665L, 241L, 251L, 434L, 349L, 178L, 376L, 448L, 
#>             552L, 774L, 381L, 840L, 932L, 325L, 1552L, 2052L, 
#>             487L, 1147L, 1063L, 326L, 645L, 845L, 403L, 296L, 
#>             591L, 524L, 1153L, 261L, 783L, 278L, 1593L, 162L, 
#>             500L, 917L, 914L, 1958L, 814L, 595L, 756L, 123L, 
#>             1254L, 1137L, 1995L, 1111L, 430L, 1208L, 175L, 1306L, 
#>             1082L, 2900L, 372L, 1182L, 347L, 142L, 332L, 168L, 
#>             314L, 691L, 457L, 1248L, 1178L, 352L, 534L, 351L, 
#>             1516L, 369L, 446L, 517L), pw = c(44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             20.3600006103516, 20.3600006103516, 15.1000003814697, 
#>             20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>             44.2099990844727, 20.3600006103516, 20.3600006103516, 
#>             44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>             44.2099990844727, 15.1000003814697, 15.1000003814697, 
#>             44.2099990844727, 15.1000003814697, 15.1000003814697, 
#>             44.2099990844727, 20.3600006103516, 20.3600006103516, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             15.1000003814697, 44.2099990844727, 20.3600006103516, 
#>             20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>             20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>             15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>             15.1000003814697, 20.3600006103516, 20.3600006103516, 
#>             44.2099990844727, 20.3600006103516, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             15.1000003814697, 20.3600006103516, 20.3600006103516, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>             15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>             20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>             20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>             20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>             44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             15.1000003814697, 44.2099990844727, 20.3600006103516, 
#>             15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>             44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>             15.1000003814697, 20.3600006103516, 44.2099990844727, 
#>             44.2099990844727, 20.3600006103516, 15.1000003814697, 
#>             20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>             15.1000003814697, 44.2099990844727, 20.3600006103516, 
#>             44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>             15.1000003814697, 44.2099990844727, 20.3600006103516, 
#>             15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>             20.3600006103516, 20.3600006103516, 44.2099990844727, 
#>             15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>             20.3600006103516, 44.2099990844727, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 15.1000003814697, 
#>             20.3600006103516, 20.3600006103516, 15.1000003814697, 
#>             44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>             44.2099990844727, 15.1000003814697, 44.2099990844727, 
#>             20.3600006103516, 44.2099990844727, 20.3600006103516, 
#>             44.2099990844727, 15.1000003814697, 15.1000003814697, 
#>             44.2099990844727, 15.1000003814697, 15.1000003814697, 
#>             44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>             44.2099990844727, 44.2099990844727, 20.3600006103516, 
#>             44.2099990844727, 20.3600006103516, 20.3600006103516, 
#>             20.3600006103516, 15.1000003814697, 44.2099990844727, 
#>             20.3600006103516, 44.2099990844727, 15.1000003814697, 
#>             15.1000003814697, 44.2099990844727, 15.1000003814697, 
#>             15.1000003814697, 15.1000003814697, 15.1000003814697, 
#>             20.3600006103516, 20.3600006103516, 44.2099990844727, 
#>             20.3600006103516, 15.1000003814697, 20.3600006103516, 
#>             15.1000003814697, 15.1000003814697, 15.1000003814697, 
#>             44.2099990844727, 15.1000003814697, 20.3600006103516, 
#>             15.1000003814697, 44.2099990844727, 20.3600006103516, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             44.2099990844727, 44.2099990844727, 15.1000003814697, 
#>             44.2099990844727, 15.1000003814697, 15.1000003814697, 
#>             44.2099990844727, 44.2099990844727, 44.2099990844727, 
#>             15.1000003814697, 20.3600006103516, 44.2099990844727, 
#>             15.1000003814697), fpc = c(4421, 4421, 4421, 4421, 
#>             4421, 4421, 4421, 4421, 4421, 4421, 1018, 1018, 755, 
#>             1018, 755, 4421, 4421, 1018, 1018, 4421, 4421, 1018, 
#>             4421, 755, 755, 4421, 755, 755, 4421, 1018, 1018, 
#>             4421, 4421, 4421, 755, 4421, 1018, 1018, 755, 4421, 
#>             1018, 755, 4421, 755, 4421, 4421, 755, 1018, 1018, 
#>             4421, 1018, 4421, 4421, 4421, 4421, 755, 1018, 1018, 
#>             4421, 4421, 4421, 4421, 4421, 1018, 755, 4421, 4421, 
#>             4421, 4421, 1018, 1018, 4421, 4421, 1018, 4421, 4421, 
#>             1018, 4421, 4421, 4421, 755, 4421, 4421, 4421, 4421, 
#>             755, 4421, 1018, 755, 4421, 4421, 4421, 4421, 1018, 
#>             4421, 755, 4421, 755, 1018, 4421, 4421, 1018, 755, 
#>             1018, 4421, 4421, 755, 4421, 1018, 4421, 755, 1018, 
#>             755, 4421, 1018, 755, 4421, 4421, 1018, 1018, 4421, 
#>             755, 4421, 4421, 1018, 4421, 4421, 4421, 4421, 755, 
#>             1018, 1018, 755, 4421, 4421, 1018, 4421, 755, 4421, 
#>             1018, 4421, 1018, 4421, 755, 755, 4421, 755, 755, 
#>             4421, 755, 1018, 4421, 4421, 1018, 4421, 1018, 1018, 
#>             1018, 755, 4421, 1018, 4421, 755, 755, 4421, 755, 
#>             755, 755, 755, 1018, 1018, 4421, 1018, 755, 1018, 
#>             755, 755, 755, 4421, 755, 1018, 755, 4421, 1018, 
#>             4421, 4421, 4421, 4421, 4421, 755, 4421, 755, 755, 
#>             4421, 4421, 4421, 755, 1018, 4421, 755), ellnum = c(25, 
#>             77, 23, 63, 17, 0, 2, 2, 58, 23, 25, 10, 43, 26, 
#>             7, 66, 73, 20, 16, 39, 6, 18, 6, 59, 18, 3, 3, 5, 
#>             7, 23, 1, 17, 10, 27, 22, 18, 0, 14, 0, 2, 2, 30, 
#>             7, 37, 0, 3, 4, 46, 13, 3, 42, 20, 11, 0, 32, 8, 
#>             27, 27, 43, 3, 37, 22, 35, 62, 17, 8, 1, 3, 4, 37, 
#>             4, 70, 80, 15, 10, 22, 33, 73, 3, 38, 0, 9, 2, 11, 
#>             3, 5, 0, 2, 7, 62, 1, 28, 18, 5, 25, 0, 33, 21, 32, 
#>             1, 7, 13, 22, 46, 24, 18, 1, 8, 16, 10, 7, 50, 0, 
#>             40, 14, 1, 37, 84, 17, 33, 1, 6, 2, 32, 1, 28, 22, 
#>             20, 50, 6, 17, 5, 11, 33, 1, 14, 66, 17, 41, 12, 
#>             9, 54, 8, 16, 24, 17, 2, 5, 50, 24, 18, 19, 12, 6, 
#>             33, 0, 33, 28, 4, 51, 8, 5, 3, 25, 69, 0, 10, 16, 
#>             6, 29, 10, 7, 15, 21, 34, 18, 0, 49, 59, 10, 0, 34, 
#>             4, 6, 45, 50, 21, 22, 14, 3, 34, 37, 8, 12, 39, 56, 
#>             14, 6, 69, 4), mealsnum = c(33, 98, 64, 83, 26, 7, 
#>             9, 45, 75, 47, 69, 60, 66, 54, 35, 95, 75, 47, 6, 
#>             93, 38, 32, 24, 89, 44, 15, 18, 9, 35, 60, 13, 98, 
#>             25, 78, 63, 54, 21, 24, 23, 34, 2, 31, 4, 37, 14, 
#>             31, 20, 59, 31, 6, 66, 58, 71, 67, 75, 15, 78, 64, 
#>             40, 36, 42, 69, 99, 75, 51, 45, 14, 13, 7, 79, 4, 
#>             83, 92, 51, 25, 74, 52, 95, 51, 96, 3, 74, 7, 20, 
#>             24, 50, 20, 4, 8, 100, 61, 48, 51, 17, 56, 12, 80, 
#>             72, 77, 18, 10, 18, 39, 64, 54, 76, 1, 6, 45, 11, 
#>             9, 72, 19, 100, 47, 1, 72, 97, 67, 85, 1, 6, 77, 
#>             83, 52, 42, 38, 39, 100, 19, 19, 99, 34, 78, 10, 
#>             36, 98, 23, 69, 66, 28, 73, 25, 29, 31, 33, 0, 21, 
#>             49, 100, 24, 4, 46, 24, 82, 29, 46, 44, 5, 76, 36, 
#>             43, 5, 20, 98, 1, 20, 23, 33, 33, 24, 41, 57, 36, 
#>             91, 21, 13, 98, 67, 23, 38, 86, 14, 13, 74, 72, 45, 
#>             39, 38, 8, 69, 47, 38, 34, 36, 98, 36, 56, 88, 28
#>             ), mobilitynum = c(11, 26, 17, 13, 31, 12, 10, 15, 
#>             23, 19, 26, 22, 16, 44, 18, 18, 12, 8, 17, 20, 8, 
#>             6, 15, 10, 13, 11, 12, 9, 9, 18, 6, 31, 16, 20, 13, 
#>             23, 17, 17, 9, 18, 8, 12, 17, 17, 15, 22, 4, 13, 
#>             9, 13, 15, 9, 24, 15, 32, 10, 12, 22, 15, 38, 21, 
#>             21, 18, 11, 12, 38, 18, 16, 16, 16, 9, 17, 27, 9, 
#>             12, 12, 8, 17, 16, 8, 7, 5, 20, 26, 16, 14, 14, 3, 
#>             8, 22, 20, 7, 19, 8, 19, 8, 25, 12, 4, 14, 12, 20, 
#>             9, 26, 17, 17, 6, 8, 22, 12, 6, 17, 6, 21, 16, 6, 
#>             16, 6, 46, 7, 8, 8, 20, 23, 13, 15, 18, 29, 17, 55, 
#>             6, 19, 19, 21, 17, 13, 23, 7, 38, 12, 14, 13, 13, 
#>             21, 10, 16, 4, 10, 9, 72, 10, 17, 99, 12, 41, 16, 
#>             12, 19, 10, 9, 15, 13, 12, 15, 23, 4, 8, 12, 14, 
#>             11, 22, 11, 15, 15, 9, 1, 8, 12, 12, 96, 18, 6, 12, 
#>             10, 11, 26, 13, 11, 20, 11, 25, 7, 22, 13, 13, 22, 
#>             12, 10, 6, 6), col.gradnum = c(0, 0, 0, 0, 0, 0, 
#>             0, 0, 0, 0, 0, 10, 12, 29, 23, 8, 9, 16, 100, 2, 
#>             28, 28, 26, 3, 13, 27, 30, 34, 44, 13, 42, 5, 29, 
#>             21, 0, 20, 19, 16, 28, 10, 35, 10, 42, 14, 42, 20, 
#>             27, 21, 19, 35, 8, 13, 22, 33, 7, 31, 19, 22, 39, 
#>             24, 22, 17, 15, 7, 67, 19, 39, 39, 39, 23, 41, 5, 
#>             4, 0, 10, 10, 22, 3, 9, 2, 33, 11, 34, 28, 25, 40, 
#>             41, 42, 45, 8, 48, 21, 12, 31, 12, 33, 5, 22, 8, 
#>             18, 35, 25, 17, 9, 16, 6, 38, 25, 30, 32, 41, 13, 
#>             30, 4, 15, 44, 24, 2, 18, 12, 43, 30, 11, 11, 20, 
#>             10, 22, 35, 8, 36, 40, 25, 33, 11, 32, 23, 19, 30, 
#>             6, 7, 36, 8, 10, 37, 24, 27, 36, 31, 19, 13, 28, 
#>             40, 18, 20, 15, 36, 25, 21, 32, 10, 21, 12, 43, 19, 
#>             2, 44, 31, 30, 21, 28, 34, 32, 18, 25, 16, 29, 27, 
#>             14, 13, 16, 21, 5, 35, 36, 16, 3, 0, 35, 23, 0, 11, 
#>             14, 31, 27, 33, 33, 25, 16, 0, 25), fullnum = c(100, 
#>             57, 81, 64, 90, 95, 96, 93, 91, 96, 84, 65, 93, 55, 
#>             80, 67, 97, 89, 100, 90, 97, 89, 78, 81, 81, 95, 
#>             77, 95, 88, 100, 97, 31, 91, 98, 66, 94, 94, 84, 
#>             47, 96, 97, 82, 100, 85, 100, 97, 84, 88, 93, 93, 
#>             100, 95, 100, 83, 78, 98, 77, 100, 95, 100, 97, 87, 
#>             24, 91, 68, 95, 100, 97, 93, 64, 92, 81, 80, 72, 
#>             100, 84, 94, 80, 89, 56, 100, 95, 96, 97, 100, 99, 
#>             100, 100, 99, 100, 73, 92, 91, 86, 90, 98, 67, 81, 
#>             89, 93, 100, 76, 79, 56, 78, 96, 93, 100, 100, 100, 
#>             96, 90, 100, 94, 97, 93, 61, 75, 80, 73, 100, 100, 
#>             100, 100, 100, 82, 88, 74, 82, 84, 92, 62, 91, 85, 
#>             100, 91, 78, 94, 81, 70, 86, 84, 100, 88, 84, 100, 
#>             93, 95, 94, 55, 88, 96, 73, 92, 84, 95, 85, 81, 99, 
#>             67, 94, 92, 95, 87, 78, 98, 92, 83, 66, 81, 80, 92, 
#>             96, 96, 66, 84, 92, 70, 100, 97, 71, 83, 97, 100, 
#>             82, 91, 96, 68, 88, 88, 83, 68, 65, 67, 100, 42, 
#>             95, 78, 95, 97)), fpc = list(popsize = c(4421, 4421, 
#>         4421, 4421, 4421, 4421, 4421, 4421, 4421, 4421, 1018, 
#>         1018, 755, 1018, 755, 4421, 4421, 1018, 1018, 4421, 4421, 
#>         1018, 4421, 755, 755, 4421, 755, 755, 4421, 1018, 1018, 
#>         4421, 4421, 4421, 755, 4421, 1018, 1018, 755, 4421, 1018, 
#>         755, 4421, 755, 4421, 4421, 755, 1018, 1018, 4421, 1018, 
#>         4421, 4421, 4421, 4421, 755, 1018, 1018, 4421, 4421, 
#>         4421, 4421, 4421, 1018, 755, 4421, 4421, 4421, 4421, 
#>         1018, 1018, 4421, 4421, 1018, 4421, 4421, 1018, 4421, 
#>         4421, 4421, 755, 4421, 4421, 4421, 4421, 755, 4421, 1018, 
#>         755, 4421, 4421, 4421, 4421, 1018, 4421, 755, 4421, 755, 
#>         1018, 4421, 4421, 1018, 755, 1018, 4421, 4421, 755, 4421, 
#>         1018, 4421, 755, 1018, 755, 4421, 1018, 755, 4421, 4421, 
#>         1018, 1018, 4421, 755, 4421, 4421, 1018, 4421, 4421, 
#>         4421, 4421, 755, 1018, 1018, 755, 4421, 4421, 1018, 4421, 
#>         755, 4421, 1018, 4421, 1018, 4421, 755, 755, 4421, 755, 
#>         755, 4421, 755, 1018, 4421, 4421, 1018, 4421, 1018, 1018, 
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#>             "Walnut Canyon E", "Atherwood Eleme", "Township Elemen", 
#>             "Thorner (Dr. Ju", "Nicoloff (Georg", "Valle Lindo Ele", 
#>             "Frisbie Middle", "Rivera (Tomas) ", "Roosevelt High", 
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#>             "Rosita Elementa", "Cree (Raymond) ", "Rancho San Joaq", 
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#>             "Frost (Earl) El", "Farmersville Hi", "Fontana Miller ", 
#>             "Crocker Highlan", "South Hills Hig", "Rancho Cotate H", 
#>             "Kentwood Elemen", "La Presa Middle", "San Lorenzo Val", 
#>             "Tibby Elementar", "Lowell Elementa", "Centennial Elem", 
#>             "Marshall Fundam", "Miramonte Eleme", "Sierra Ridge Mi", 
#>             "Carquinez Middl", "Frazier Mountai", "Sierra Vista El", 
#>             "Hillview Middle", "Gladstone High", "Highland Ranch ", 
#>             "Overfelt (Willi", "Ophir Elementar", "Valley View Ele", 
#>             "Escalon High", "Everett Middle", "El Portal Middl", 
#>             "Tustin Memorial", "Johnson (Lloyd ", "Rocky Hill Elem", 
#>             "Lassen View Ele", "Broadacres Aven", "Kelley Elementa", 
#>             "Royal High", "Benjamin Frankl", "Marston Middle", 
#>             "Monroe (James) ", "Condor Elementa", "Vargas Elementa", 
#>             "Fairgrove Acade", "Bursch Elementa", "Doig (Leroy L.)", 
#>             "Muir High", "Faller Elementa", "Legette (Earl) ", 
#>             "Highlands Eleme", "Bancroft Elemen", "Mt. Vernon Midd", 
#>             "La Mesa Jr. Hig", "McKinley Elemen", "Walker Elementa", 
#>             "Navelencia Midd", "Olson (Ione) El", "Dos Palos Eleme", 
#>             "King (Martin Lu", "Edison Elementa", "Kohn (Frank) El", 
#>             "Myrtle Avenue E", "McKinleyville H", "Mark Twain Elem", 
#>             "Stockdale Eleme", "Muir (John) Ele", "Madrone Element", 
#>             "San Diego Schoo", "Redwood Element", "Sinaloa Middle", 
#>             "El Toro High", "Leavenworth (An", "Annalee Avenue ", 
#>             "Clarksburg Elem", "Monroe Elementa", "Pine Hollow Mid", 
#>             "Merlinda Elemen", "Amador County H", "Lewis (Mary B.)", 
#>             "Downtown Busine", "Jefferson (Thom", "Elliott (Brock)", 
#>             "Murwood Element", "Benton (Reginal", "Bloomington Hig", 
#>             "Vernon Middle", "Hemlock Element", "Roosevelt Eleme", 
#>             "Tamalpais High", "Thornhill Eleme", "Brannan (Sam) M", 
#>             "Old Adobe Eleme", "San Clemente Hi", "Fairview Middle", 
#>             "Summerville Hig", "King Elementary", "Palm Middle", 
#>             "San Ramon Valle", "Wilcox Elementa", "Cantua Elementa", 
#>             "Shandin Hills M", "McFarland Middl", "Ridgeview Eleme", 
#>             "Lone Pine High", "Meadow Lane Ele", "Norman (Alyce) ", 
#>             "Evergreen Middl", "Elkhorn Element", "Lynhaven Elemen", 
#>             "Haynes Elementa", "Sun Empire Elem", "Santiago High", 
#>             "Goleta Valley J", "Willowbrook Mid", "Foothill High", 
#>             "Bryant Elementa", "Olive Drive Ele", "Sierra Middle", 
#>             "El Sereno Eleme", "Delta High", "Myra Linn Eleme", 
#>             "Bryant Middle", "Twain Elementar", "Wiltsey (Ray) M", 
#>             "Miller Elementa", "Mira Loma High", "Willow Glen Hig", 
#>             "College View El", "La Canada High", "Rancho Buena Vi", 
#>             "Cali Calmecac (", "Dominguez High", "Douglass Junior", 
#>             "Dunsmore Elemen", "Joshua Hills El", "Cabrillo Middle", 
#>             "Broad Avenue El", "Sisson Elementa", "Ralston (Dr. Wa", 
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#>             "Washington Midd", "Sacramento High", "El Sereno Middl", 
#>             "Burton (Phillip", "Mariposa County", "Compton High", 
#>             "Anderson Valley", "Ukiah High", "Workman (James)", 
#>             "Garfield (James", "Del Lago Elemen", "Meadowbrook Mid", 
#>             "Laurel Elementa", "El Cerrito Elem", "Santa Susana El", 
#>             "Fairwood Elemen", "Pacific (K-8)", "Santa Susana Hi", 
#>             "Machado Element", "Delano High", "Pittsburg Senio", 
#>             "Emperor Element", "Alvarado Elemen", "One Hundred Twe", 
#>             "Corona Senior H", "Sycamore Middle", "Larsen (Ansgar)", 
#>             "Lincoln High (C"), sname = c("Open Magnet: Center for Individual (Char", 
#>             "Belvedere Elementary", "Altadena Elementary", "Soto Street Elementary", 
#>             "Walnut Canyon Elementary", "Atherwood Elementary", 
#>             "Township Elementary", "Thorner (Dr. Juliet) Elementary", 
#>             "Nicoloff (George) Elementary", "Valle Lindo Elementary", 
#>             "Frisbie Middle", "Rivera (Tomas) Middle", "Roosevelt High", 
#>             "Frick Middle", "Rancho Verde High", "Corona Avenue Elementary", 
#>             "Rosita Elementary", "Cree (Raymond) Middle", "Rancho San Joaquin Middle", 
#>             "Orange Center Elementary", "Pine Street Elementary", 
#>             "Buchser Middle", "Frost (Earl) Elementary", "Farmersville High", 
#>             "Fontana Miller (A.B.) High", "Crocker Highlands Elementary", 
#>             "South Hills High", "Rancho Cotate High", "Kentwood Elementary", 
#>             "La Presa Middle", "San Lorenzo Valley Junior High", 
#>             "Tibby Elementary", "Lowell Elementary", "Centennial Elementary", 
#>             "Marshall Fundamental", "Miramonte Elementary", "Sierra Ridge Middle", 
#>             "Carquinez Middle", "Frazier Mountain High", "Sierra Vista Elementary", 
#>             "Hillview Middle", "Gladstone High", "Highland Ranch Elementary", 
#>             "Overfelt (William C.) High", "Ophir Elementary", 
#>             "Valley View Elementary", "Escalon High", "Everett Middle", 
#>             "El Portal Middle", "Tustin Memorial Elementary", 
#>             "Johnson (Lloyd G.) Jr. High", "Rocky Hill Elementary", 
#>             "Lassen View Elementary", "Broadacres Avenue Elementary", 
#>             "Kelley Elementary", "Royal High", "Benjamin Franklin Middle", 
#>             "Marston Middle", "Monroe (James) Elementary", "Condor Elementary", 
#>             "Vargas Elementary", "Fairgrove Academy (K-8)", "Bursch Elementary", 
#>             "Doig (Leroy L.) Intermediate", "Muir High", "Faller Elementary", 
#>             "Legette (Earl) Elementary", "Highlands Elementary", 
#>             "Bancroft Elementary", "Mt. Vernon Middle", "La Mesa Jr. High", 
#>             "McKinley Elementary", "Walker Elementary", "Navelencia Middle", 
#>             "Olson (Ione) Elementary", "Dos Palos Elementary", 
#>             "King (Martin Luther Jr) Middle", "Edison Elementary", 
#>             "Kohn (Frank) Elementary", "Myrtle Avenue Elementary", 
#>             "McKinleyville High", "Mark Twain Elementary", "Stockdale Elementary", 
#>             "Muir (John) Elementary", "Madrone Elementary", "San Diego School of Creative & Performin", 
#>             "Redwood Elementary", "Sinaloa Middle", "El Toro High", 
#>             "Leavenworth (Ann B.) Elementary", "Annalee Avenue Elementary", 
#>             "Clarksburg Elementary", "Monroe Elementary", "Pine Hollow Middle", 
#>             "Merlinda Elementary", "Amador County High", "Lewis (Mary B.) Elementary", 
#>             "Downtown Business High", "Jefferson (Thomas) Middle", 
#>             "Elliott (Brock) Elementary", "Murwood Elementary", 
#>             "Benton (Reginald M.) Middle", "Bloomington High", 
#>             "Vernon Middle", "Hemlock Elementary", "Roosevelt Elementary", 
#>             "Tamalpais High", "Thornhill Elementary", "Brannan (Sam) Middle", 
#>             "Old Adobe Elementary", "San Clemente High", "Fairview Middle", 
#>             "Summerville High", "King Elementary", "Palm Middle", 
#>             "San Ramon Valley High", "Wilcox Elementary", "Cantua Elementary", 
#>             "Shandin Hills Middle", "McFarland Middle", "Ridgeview Elementary", 
#>             "Lone Pine High", "Meadow Lane Elementary", "Norman (Alyce) Elementary", 
#>             "Evergreen Middle", "Elkhorn Elementary", "Lynhaven Elementary", 
#>             "Haynes Elementary", "Sun Empire Elementary", "Santiago High", 
#>             "Goleta Valley Junior High", "Willowbrook Middle", 
#>             "Foothill High", "Bryant Elementary", "Olive Drive Elementary", 
#>             "Sierra Middle", "El Sereno Elementary", "Delta High", 
#>             "Myra Linn Elementary", "Bryant Middle", "Twain Elementary", 
#>             "Wiltsey (Ray) Middle", "Miller Elementary", "Mira Loma High", 
#>             "Willow Glen High", "College View Elementary", "La Canada High", 
#>             "Rancho Buena Vista High", "Cali Calmecac (Charter #162)", 
#>             "Dominguez High", "Douglass Junior High", "Dunsmore Elementary", 
#>             "Joshua Hills Elementary", "Cabrillo Middle", "Broad Avenue Elementary", 
#>             "Sisson Elementary", "Ralston (Dr. Walter C.) Intermediate", 
#>             "Steinbeck Middle", "Beyer (Fred C.) High", "Franklin (Benjamin) Elementary", 
#>             "Silverado Middle", "Bedell (Thelma B.) Elementary", 
#>             "Trabuco Hills High", "O'Connell (John A.) High", 
#>             "San Joaquin Elementary", "Oak Ridge High", "South San Francisco High", 
#>             "Hamilton (Alexander) Senior Hi", "Antelope Valley High", 
#>             "Rancho Milpitas Junior High", "Pinole Junior High", 
#>             "Big Pine Elementary", "Washington Middle", "Sacramento High", 
#>             "El Sereno Middle", "Burton (Phillip & Sala) Academic High", 
#>             "Mariposa County High", "Compton High", "Anderson Valley Elementary", 
#>             "Ukiah High", "Workman (James) Middle", "Garfield (James A.) Senior High", 
#>             "Del Lago Elementary", "Meadowbrook Middle", "Laurel Elementary", 
#>             "El Cerrito Elementary", "Santa Susana Elementary", 
#>             "Fairwood Elementary", "Pacific (K-8)", "Santa Susana High", 
#>             "Machado Elementary", "Delano High", "Pittsburg Senior High", 
#>             "Emperor Elementary", "Alvarado Elementary", "One Hundred Twelfth Street Elementary", 
#>             "Corona Senior High", "Sycamore Middle", "Larsen (Ansgar) Elementary", 
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#>             448, 2338, 146, 1858, 3365, 336, 5986, 3324), dname = c("Los Angeles Unified", 
#>             "Los Angeles Unified", "Pasadena Unified", "Los Angeles Unified", 
#>             "Moorpark Unified", "Simi Valley Unified", "Simi Valley Unified", 
#>             "Bakersfield City Elem", "South Bay Union Elem", 
#>             "Chula Vista Elementary", "Rialto Unified", "Val Verde Unified", 
#>             "Fresno Unified", "Oakland Unified", "Val Verde Unified", 
#>             "Los Angeles Unified", "Garden Grove Unified", "Palm Springs Unified", 
#>             "Irvine Unified", "Orange Center Elementary", "Bishop Union Elementary", 
#>             "Santa Clara Unified", "Oak Grove Elementary", "Farmersville Unified", 
#>             "Fontana Unified", "Oakland Unified", "Covina-Valley Unified", 
#>             "Cotati-Rohnert Park Unif", "Los Angeles Unified", 
#>             "La Mesa-Spring Valley", "San Lorenzo Valley Unif", 
#>             "Compton Unified", "Long Beach Unified", "Fresno Unified", 
#>             "Pasadena Unified", "Clovis Unified", "Pollock Pines Elementary", 
#>             "John Swett Unified", "El Tejon Unified", "Vacaville Unified", 
#>             "Menlo Park City Elem", "Azusa Unified", "Poway Unified", 
#>             "East Side Union High", "Ophir Elementary", "Westside Union Elem", 
#>             "Escalon Unified", "San Francisco Unified", "Escalon Unified", 
#>             "Tustin Unified", "Pierce Joint Unified", "Exeter Union Elementary", 
#>             "Enterprise Elementary", "Los Angeles Unified", "Rialto Unified", 
#>             "Simi Valley Unified", "San Francisco Unified", "San Diego City Unified", 
#>             "Garden Grove Unified", "Morongo Unified", "Sunnyvale Elementary", 
#>             "Hacienda la Puente Unif", "Compton Unified", "Garden Grove Unified", 
#>             "Pasadena Unified", "Sierra Sands Unified", "San Juan Unified", 
#>             "Mt. Diablo Unified", "Mt. Diablo Unified", "Los Angeles Unified", 
#>             "William S. Hart High", "Franklin-McKinley Elem", 
#>             "Santa Ana Unified", "Kings Canyon Unified", "Monterey Peninsula Unif.", 
#>             "Dos Palos Oro Loma Unif", "Hayward Unified", "Santa Ana Unified", 
#>             "Tulare City Elementary", "Lamont Elementary", "Northern Humboldt High", 
#>             "Corcoran Joint Unified", "Panama Buena Vista Elem", 
#>             "Lodi Unified", "Rincon Valley Union Elem", "San Diego City Unified", 
#>             "San Lorenzo Valley Unif", "Novato Unified", "Saddleback Valley Unif", 
#>             "Fresno Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>             "Riverside Unified", "Mt. Diablo Unified", "West Covina Unified", 
#>             "Amador County Unified", "Colton Joint Unified", 
#>             "Los Angeles Unified", "Wasco Union Elementary", 
#>             "Manteca Unified", "Walnut Creek Elementary", "Norwalk-La Mirada Unif", 
#>             "Colton Joint Unified", "Ontario-Montclair Elem", 
#>             "Fontana Unified", "Dinuba Unified", "Tamalpais Union High", 
#>             "Oakland Unified", "Sacramento City Unified", "Old Adobe Union Elem", 
#>             "Capistrano Unified", "Gonzales Unified", "Summerville Union High", 
#>             "Fresno Unified", "Lemon Grove Elementary", "San Ramon Valley Unified", 
#>             "Montebello Unified", "Golden Plains Unified", "San Bernardino City Unif", 
#>             "McFarland Unified", "Eureka Union Elementary", "Lone Pine Unified", 
#>             "Cascade Union Elementary", "Washington Unified", 
#>             "Evergreen Union Elem", "North Monterey Co Unif", 
#>             "Campbell Union Elem", "Los Angeles Unified", "Kerman Unified", 
#>             "Corona-Norco Unified", "Santa Barbara High", "Compton Unified", 
#>             "Grant Joint Union High", "Long Beach Unified", "Norris Elementary", 
#>             "Lincoln Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>             "Alvord Unified", "Dos Palos Oro Loma Unif", "Long Beach Unified", 
#>             "Ontario-Montclair Elem", "Escondido Union Elem", 
#>             "San Juan Unified", "San Jose Unified", "Ocean View Elementary", 
#>             "La Canada Unified", "Vista Unified", "Windsor Unified", 
#>             "Compton Unified", "Woodland Joint Unified", "Glendale Unified", 
#>             "Palmdale Elementary", "Ventura Unified", "Los Angeles Unified", 
#>             "Mt. Shasta Union Elem", "Garden Grove Unified", 
#>             "San Jose Unified", "Modesto City High", "Glendale Unified", 
#>             "Napa Valley Unified", "Santa Paula Elementary", 
#>             "Saddleback Valley Unif", "San Francisco Unified", 
#>             "Golden Plains Unified", "El Dorado Union High", 
#>             "South San Francisco Unif", "Los Angeles Unified", 
#>             "Antelope Valley High", "Milpitas Unified", "West Contra Costa Unified", 
#>             "Big Pine Unified", "Vista Unified", "Sacramento City Unified", 
#>             "Los Angeles Unified", "San Francisco Unified", "Mariposa County Unified", 
#>             "Compton Unified", "Anderson Valley Unified", "Ukiah Unified", 
#>             "Palm Springs Unified", "Los Angeles Unified", "Saddleback Valley Unif", 
#>             "Poway Unified", "Oakland Unified", "La Habra City Elementary", 
#>             "Simi Valley Unified", "Sunnyvale Elementary", "Lincoln Unified", 
#>             "Simi Valley Unified", "Lake Elsinore Unified", "Delano Joint Union High", 
#>             "Pittsburg Unified", "Temple City Unified", "New Haven Unified", 
#>             "Los Angeles Unified", "Corona-Norco Unified", "Gridley Unified", 
#>             "Hueneme Elementary", "Western Placer Unified"), 
#>             dnum = c(401L, 401L, 541L, 401L, 460L, 689L, 689L, 
#>             41L, 702L, 135L, 590L, 767L, 253L, 507L, 767L, 401L, 
#>             259L, 531L, 316L, 515L, 69L, 656L, 501L, 233L, 238L, 
#>             507L, 162L, 160L, 401L, 351L, 639L, 153L, 395L, 253L, 
#>             541L, 140L, 569L, 324L, 208L, 766L, 439L, 40L, 575L, 
#>             196L, 514L, 806L, 215L, 632L, 215L, 756L, 550L, 226L, 
#>             214L, 401L, 590L, 689L, 632L, 630L, 259L, 465L, 725L, 
#>             284L, 153L, 259L, 541L, 685L, 636L, 473L, 473L, 401L, 
#>             813L, 247L, 653L, 339L, 459L, 185L, 294L, 653L, 751L, 
#>             364L, 497L, 155L, 537L, 390L, 596L, 630L, 639L, 499L, 
#>             621L, 253L, 401L, 602L, 605L, 473L, 797L, 20L, 148L, 
#>             401L, 784L, 419L, 781L, 498L, 148L, 513L, 238L, 182L, 
#>             735L, 507L, 620L, 512L, 108L, 273L, 722L, 253L, 376L, 
#>             650L, 457L, 270L, 627L, 432L, 223L, 394L, 114L, 787L, 
#>             225L, 495L, 105L, 401L, 333L, 158L, 655L, 153L, 275L, 
#>             395L, 492L, 382L, 401L, 602L, 19L, 185L, 395L, 513L, 
#>             216L, 636L, 635L, 509L, 348L, 780L, 819L, 153L, 825L, 
#>             266L, 532L, 774L, 401L, 475L, 259L, 635L, 450L, 266L, 
#>             478L, 662L, 621L, 632L, 270L, 202L, 706L, 401L, 27L, 
#>             448L, 796L, 64L, 780L, 620L, 401L, 632L, 423L, 153L, 
#>             25L, 760L, 531L, 401L, 621L, 575L, 507L, 349L, 689L, 
#>             725L, 382L, 689L, 358L, 176L, 554L, 738L, 484L, 401L, 
#>             158L, 279L, 308L, 802L), cname = c("Los Angeles", 
#>             "Los Angeles", "Los Angeles", "Los Angeles", "Ventura", 
#>             "Ventura", "Ventura", "Kern", "San Diego", "San Diego", 
#>             "San Bernardino", "Riverside", "Fresno", "Alameda", 
#>             "Riverside", "Los Angeles", "Orange", "Riverside", 
#>             "Orange", "Fresno", "Inyo", "Santa Clara", "Santa Clara", 
#>             "Tulare", "San Bernardino", "Alameda", "Los Angeles", 
#>             "Sonoma", "Los Angeles", "San Diego", "Santa Cruz", 
#>             "Los Angeles", "Los Angeles", "Fresno", "Los Angeles", 
#>             "Fresno", "El Dorado", "Contra Costa", "Kern", "Solano", 
#>             "San Mateo", "Los Angeles", "San Diego", "Santa Clara", 
#>             "Placer", "Los Angeles", "San Joaquin", "San Francisco", 
#>             "San Joaquin", "Orange", "Colusa", "Tulare", "Shasta", 
#>             "Los Angeles", "San Bernardino", "Ventura", "San Francisco", 
#>             "San Diego", "Orange", "San Bernardino", "Santa Clara", 
#>             "Los Angeles", "Los Angeles", "Orange", "Los Angeles", 
#>             "Kern", "Sacramento", "Contra Costa", "Contra Costa", 
#>             "Los Angeles", "Los Angeles", "Santa Clara", "Orange", 
#>             "Fresno", "Monterey", "Merced", "Alameda", "Orange", 
#>             "Tulare", "Kern", "Humboldt", "Kings", "Kern", "San Joaquin", 
#>             "Sonoma", "San Diego", "Santa Cruz", "Marin", "Orange", 
#>             "Fresno", "Los Angeles", "Sacramento", "Riverside", 
#>             "Contra Costa", "Los Angeles", "Amador", "San Bernardino", 
#>             "Los Angeles", "Kern", "San Joaquin", "Contra Costa", 
#>             "Los Angeles", "San Bernardino", "San Bernardino", 
#>             "San Bernardino", "Tulare", "Marin", "Alameda", "Sacramento", 
#>             "Sonoma", "Orange", "Monterey", "Tuolumne", "Fresno", 
#>             "San Diego", "Contra Costa", "Los Angeles", "Fresno", 
#>             "San Bernardino", "Kern", "Placer", "Inyo", "Shasta", 
#>             "Yolo", "Tehama", "Monterey", "Santa Clara", "Los Angeles", 
#>             "Fresno", "Riverside", "Santa Barbara", "Los Angeles", 
#>             "Sacramento", "Los Angeles", "Kern", "San Joaquin", 
#>             "Los Angeles", "Sacramento", "Riverside", "Merced", 
#>             "Los Angeles", "San Bernardino", "San Diego", "Sacramento", 
#>             "Santa Clara", "Orange", "Los Angeles", "San Diego", 
#>             "Sonoma", "Los Angeles", "Yolo", "Los Angeles", "Los Angeles", 
#>             "Ventura", "Los Angeles", "Siskiyou", "Orange", "Santa Clara", 
#>             "Stanislaus", "Los Angeles", "Napa", "Ventura", "Orange", 
#>             "San Francisco", "Fresno", "El Dorado", "San Mateo", 
#>             "Los Angeles", "Los Angeles", "Santa Clara", "Contra Costa", 
#>             "Inyo", "San Diego", "Sacramento", "Los Angeles", 
#>             "San Francisco", "Mariposa", "Los Angeles", "Mendocino", 
#>             "Mendocino", "Riverside", "Los Angeles", "Orange", 
#>             "San Diego", "Alameda", "Orange", "Ventura", "Santa Clara", 
#>             "San Joaquin", "Ventura", "Riverside", "Kern", "Contra Costa", 
#>             "Los Angeles", "Alameda", "Los Angeles", "Riverside", 
#>             "Butte", "Ventura", "Placer"), cnum = c(18L, 18L, 
#>             18L, 18L, 55L, 55L, 55L, 14L, 36L, 36L, 35L, 32L, 
#>             9L, 1L, 32L, 18L, 29L, 32L, 29L, 9L, 13L, 42L, 42L, 
#>             53L, 35L, 1L, 18L, 48L, 18L, 36L, 43L, 18L, 18L, 
#>             9L, 18L, 9L, 8L, 6L, 14L, 47L, 40L, 18L, 36L, 42L, 
#>             30L, 18L, 38L, 37L, 38L, 29L, 5L, 53L, 44L, 18L, 
#>             35L, 55L, 37L, 36L, 29L, 35L, 42L, 18L, 18L, 29L, 
#>             18L, 14L, 33L, 6L, 6L, 18L, 18L, 42L, 29L, 9L, 26L, 
#>             23L, 1L, 29L, 53L, 14L, 11L, 15L, 14L, 38L, 48L, 
#>             36L, 43L, 20L, 29L, 9L, 18L, 33L, 32L, 6L, 18L, 2L, 
#>             35L, 18L, 14L, 38L, 6L, 18L, 35L, 35L, 35L, 53L, 
#>             20L, 1L, 33L, 48L, 29L, 26L, 54L, 9L, 36L, 6L, 18L, 
#>             9L, 35L, 14L, 30L, 13L, 44L, 56L, 51L, 26L, 42L, 
#>             18L, 9L, 32L, 41L, 18L, 33L, 18L, 14L, 38L, 18L, 
#>             33L, 32L, 23L, 18L, 35L, 36L, 33L, 42L, 29L, 18L, 
#>             36L, 48L, 18L, 56L, 18L, 18L, 55L, 18L, 46L, 29L, 
#>             42L, 49L, 18L, 27L, 55L, 29L, 37L, 9L, 8L, 40L, 18L, 
#>             18L, 42L, 6L, 13L, 36L, 33L, 18L, 37L, 21L, 18L, 
#>             22L, 22L, 32L, 18L, 29L, 36L, 1L, 29L, 55L, 42L, 
#>             38L, 55L, 32L, 14L, 6L, 18L, 1L, 18L, 32L, 3L, 55L, 
#>             30L), flag = c(NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>             NA_integer_), pcttest = c(99L, 100L, 99L, 100L, 100L, 
#>             100L, 99L, 98L, 100L, 100L, 99L, 99L, 93L, 95L, 95L, 
#>             100L, 98L, 100L, 95L, 100L, 100L, 98L, 100L, 99L, 
#>             99L, 100L, 98L, 98L, 100L, 99L, 99L, 100L, 100L, 
#>             100L, 97L, 100L, 100L, 99L, 100L, 100L, 100L, 99L, 
#>             99L, 100L, 100L, 99L, 99L, 90L, 100L, 99L, 96L, 98L, 
#>             100L, 99L, 100L, 98L, 66L, 99L, 83L, 98L, 100L, 100L, 
#>             88L, 99L, 92L, 100L, 99L, 98L, 100L, 98L, 99L, 99L, 
#>             100L, 100L, 100L, 89L, 100L, 100L, 100L, 97L, 97L, 
#>             98L, 99L, 100L, 100L, 100L, 99L, 99L, 99L, 99L, 100L, 
#>             100L, 99L, 99L, 99L, 97L, 99L, 98L, 97L, 100L, 99L, 
#>             100L, 100L, 96L, 99L, 99L, 97L, 96L, 100L, 98L, 90L, 
#>             100L, 97L, 98L, 100L, 98L, 99L, 100L, 99L, 99L, 99L, 
#>             99L, 100L, 99L, 97L, 100L, 98L, 98L, 100L, 99L, 100L, 
#>             100L, 97L, 99L, 99L, 100L, 95L, 100L, 97L, 100L, 
#>             99L, 98L, 100L, 96L, 98L, 100L, 97L, 100L, 100L, 
#>             100L, 99L, 100L, 99L, 99L, 98L, 100L, 99L, 98L, 97L, 
#>             100L, 98L, 99L, 99L, 86L, 100L, 96L, 90L, 96L, 93L, 
#>             99L, 100L, 98L, 98L, 90L, 100L, 89L, 99L, 79L, 97L, 
#>             99L, 100L, 100L, 100L, 99L, 100L, 100L, 100L, 100L, 
#>             100L, 99L, 99L, 99L, 98L, 100L, 99L, 95L, 100L, 99L, 
#>             99L, 100L), api00 = c(840L, 516L, 531L, 501L, 720L, 
#>             805L, 778L, 731L, 592L, 669L, 496L, 505L, 467L, 409L, 
#>             522L, 497L, 638L, 609L, 867L, 534L, 705L, 685L, 761L, 
#>             455L, 509L, 771L, 681L, 666L, 751L, 647L, 745L, 474L, 
#>             832L, 559L, 582L, 765L, 694L, 676L, 641L, 744L, 870L, 
#>             510L, 865L, 527L, 782L, 745L, 681L, 500L, 679L, 892L, 
#>             552L, 619L, 616L, 703L, 509L, 724L, 559L, 650L, 806L, 
#>             759L, 740L, 642L, 565L, 565L, 525L, 726L, 863L, 765L, 
#>             893L, 443L, 774L, 398L, 539L, 668L, 776L, 580L, 581L, 
#>             503L, 724L, 476L, 712L, 529L, 870L, 746L, 836L, 680L, 
#>             756L, 878L, 784L, 423L, 588L, 606L, 632L, 753L, 651L, 
#>             743L, 553L, 593L, 528L, 676L, 861L, 678L, 518L, 535L, 
#>             588L, 597L, 770L, 884L, 667L, 819L, 721L, 534L, 713L, 
#>             542L, 648L, 816L, 509L, 493L, 551L, 485L, 893L, 641L, 
#>             709L, 596L, 765L, 609L, 671L, 720L, 669L, 667L, 743L, 
#>             403L, 610L, 650L, 836L, 695L, 542L, 618L, 578L, 551L, 
#>             814L, 467L, 777L, 717L, 610L, 719L, 868L, 678L, 617L, 
#>             418L, 669L, 856L, 723L, 773L, 609L, 780L, 693L, 635L, 
#>             712L, 676L, 660L, 668L, 784L, 472L, 421L, 764L, 646L, 
#>             585L, 556L, 733L, 657L, 667L, 606L, 600L, 522L, 599L, 
#>             706L, 409L, 631L, 635L, 601L, 477L, 845L, 819L, 631L, 
#>             696L, 714L, 788L, 667L, 710L, 568L, 453L, 546L, 847L, 
#>             679L, 477L, 646L, 627L, 521L, 624L), api99 = c(816L, 
#>             476L, 544L, 457L, 659L, 780L, 787L, 731L, 508L, 658L, 
#>             479L, 499L, 460L, 406L, 532L, 440L, 572L, 564L, 816L, 
#>             478L, 685L, 657L, 739L, 403L, 504L, 755L, 673L, 690L, 
#>             687L, 642L, 707L, 449L, 835L, 525L, 589L, 740L, 679L, 
#>             641L, 620L, 701L, 863L, 485L, 858L, 523L, 780L, 691L, 
#>             665L, 491L, 677L, 854L, 475L, 559L, 575L, 652L, 470L, 
#>             670L, 554L, 621L, 803L, 726L, 703L, 579L, 526L, 556L, 
#>             495L, 689L, 848L, 703L, 845L, 436L, 787L, 401L, 500L, 
#>             603L, 728L, 554L, 563L, 442L, 673L, 409L, 694L, 478L, 
#>             852L, 723L, 798L, 657L, 766L, 874L, 760L, 403L, 538L, 
#>             566L, 568L, 696L, 595L, 750L, 499L, 595L, 524L, 678L, 
#>             856L, 669L, 535L, 495L, 533L, 527L, 817L, 867L, 633L, 
#>             801L, 737L, 529L, 631L, 524L, 621L, 812L, 495L, 420L, 
#>             491L, 430L, 890L, 660L, 584L, 583L, 713L, 524L, 641L, 
#>             637L, 536L, 698L, 739L, 384L, 634L, 631L, 772L, 651L, 
#>             497L, 570L, 535L, 471L, 783L, 455L, 750L, 694L, 592L, 
#>             671L, 858L, 680L, 562L, 383L, 650L, 854L, 671L, 732L, 
#>             541L, 774L, 688L, 578L, 709L, 616L, 622L, 575L, 744L, 
#>             497L, 398L, 760L, 636L, 606L, 545L, 703L, 627L, 607L, 
#>             575L, 580L, 509L, 574L, 726L, 410L, 639L, 625L, 574L, 
#>             484L, 799L, 790L, 646L, 642L, 672L, 747L, 601L, 706L, 
#>             504L, 447L, 524L, 814L, 664L, 424L, 620L, 597L, 500L, 
#>             609L), target = c(NA, 16L, 13L, 17L, 7L, 1L, 1L, 
#>             3L, 15L, 7L, 16L, 15L, 17L, 20L, 13L, 18L, 11L, 12L, 
#>             NA, 16L, 6L, 7L, 3L, 20L, 15L, 2L, 6L, 6L, 6L, 8L, 
#>             5L, 18L, NA, 14L, 11L, 3L, 6L, 8L, 9L, 5L, NA, 16L, 
#>             NA, 14L, 1L, 5L, 7L, 15L, 6L, NA, 16L, 12L, 11L, 
#>             7L, 17L, 7L, 12L, 9L, NA, 4L, 5L, 11L, 14L, 12L, 
#>             15L, 6L, NA, 5L, NA, 18L, 1L, 20L, 15L, 10L, 4L, 
#>             12L, 12L, 18L, 6L, 20L, 5L, 16L, NA, 4L, 1L, 7L, 
#>             2L, NA, 2L, 20L, 13L, 12L, 12L, 5L, 10L, 3L, 15L, 
#>             10L, 14L, 6L, NA, 7L, 13L, 15L, 13L, 14L, NA, NA, 
#>             8L, NA, 3L, 14L, 8L, 14L, 9L, NA, 15L, 19L, 15L, 
#>             19L, NA, 7L, 11L, 11L, 4L, 14L, 8L, 8L, 13L, 5L, 
#>             3L, 21L, 8L, 8L, 1L, 7L, 15L, 12L, 13L, 16L, 1L, 
#>             17L, 3L, 5L, 10L, 6L, NA, 6L, 12L, 21L, 8L, NA, 6L, 
#>             3L, 13L, 1L, 6L, 11L, 5L, 9L, 9L, 11L, 3L, 15L, 20L, 
#>             2L, 8L, 10L, 13L, 5L, 9L, 10L, 11L, 11L, 15L, 11L, 
#>             4L, 20L, 8L, 9L, 11L, 16L, 1L, 1L, 8L, 8L, 6L, 3L, 
#>             10L, 5L, 15L, 18L, 14L, NA, 7L, 19L, 9L, 10L, 15L, 
#>             10L), growth = c(24L, 40L, -13L, 44L, 61L, 25L, -9L, 
#>             0L, 84L, 11L, 17L, 6L, 7L, 3L, -10L, 57L, 66L, 45L, 
#>             51L, 56L, 20L, 28L, 22L, 52L, 5L, 16L, 8L, -24L, 
#>             64L, 5L, 38L, 25L, -3L, 34L, -7L, 25L, 15L, 35L, 
#>             21L, 43L, 7L, 25L, 7L, 4L, 2L, 54L, 16L, 9L, 2L, 
#>             38L, 77L, 60L, 41L, 51L, 39L, 54L, 5L, 29L, 3L, 33L, 
#>             37L, 63L, 39L, 9L, 30L, 37L, 15L, 62L, 48L, 7L, -13L, 
#>             -3L, 39L, 65L, 48L, 26L, 18L, 61L, 51L, 67L, 18L, 
#>             51L, 18L, 23L, 38L, 23L, -10L, 4L, 24L, 20L, 50L, 
#>             40L, 64L, 57L, 56L, -7L, 54L, -2L, 4L, -2L, 5L, 9L, 
#>             -17L, 40L, 55L, 70L, -47L, 17L, 34L, 18L, -16L, 5L, 
#>             82L, 18L, 27L, 4L, 14L, 73L, 60L, 55L, 3L, -19L, 
#>             125L, 13L, 52L, 85L, 30L, 83L, 133L, -31L, 4L, 19L, 
#>             -24L, 19L, 64L, 44L, 45L, 48L, 43L, 80L, 31L, 12L, 
#>             27L, 23L, 18L, 48L, 10L, -2L, 55L, 35L, 19L, 2L, 
#>             52L, 41L, 68L, 6L, 5L, 57L, 3L, 60L, 38L, 93L, 40L, 
#>             -25L, 23L, 4L, 10L, -21L, 11L, 30L, 30L, 60L, 31L, 
#>             20L, 13L, 25L, -20L, -1L, -8L, 10L, 27L, -7L, 46L, 
#>             29L, -15L, 54L, 42L, 41L, 66L, 4L, 64L, 6L, 22L, 
#>             33L, 15L, 53L, 26L, 30L, 21L, 15L), sch.wide = c(2L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>             1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>             2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L), comp.imp = c(1L, 2L, 1L, 2L, 2L, 
#>             2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 
#>             1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>             2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 
#>             1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L
#>             ), both = c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>             2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>             2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>             2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 
#>             1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 
#>             1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>             1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
#>             2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), awards = c(1L, 2L, 
#>             1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 
#>             2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>             1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 
#>             2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>             2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>             2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 
#>             1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>             1L, 2L, 2L), meals = c(33L, 98L, 64L, 83L, 26L, 7L, 
#>             9L, 45L, 75L, 47L, 69L, 60L, 66L, 54L, 35L, 95L, 
#>             75L, 47L, 6L, 93L, 38L, 32L, 24L, 89L, 44L, 15L, 
#>             18L, 9L, 35L, 60L, 13L, 98L, 25L, 78L, 63L, 54L, 
#>             21L, 24L, 23L, 34L, 2L, 31L, 4L, 37L, 14L, 31L, 20L, 
#>             59L, 31L, 6L, 66L, 58L, 71L, 67L, 75L, 15L, 78L, 
#>             64L, 40L, 36L, 42L, 69L, 99L, 75L, 51L, 45L, 14L, 
#>             13L, 7L, 79L, 4L, 83L, 92L, 51L, 25L, 74L, 52L, 95L, 
#>             51L, 96L, 3L, 74L, 7L, 20L, 24L, 50L, 20L, 4L, 8L, 
#>             100L, 61L, 48L, 51L, 17L, 56L, 12L, 80L, 72L, 77L, 
#>             18L, 10L, 18L, 39L, 64L, 54L, 76L, 1L, 6L, 45L, 11L, 
#>             9L, 72L, 19L, 100L, 47L, 1L, 72L, 97L, 67L, 85L, 
#>             1L, 6L, 77L, 83L, 52L, 42L, 38L, 39L, 100L, 19L, 
#>             19L, 99L, 34L, 78L, 10L, 36L, 98L, 23L, 69L, 66L, 
#>             28L, 73L, 25L, 29L, 31L, 33L, 0L, 21L, 49L, 100L, 
#>             24L, 4L, 46L, 24L, 82L, 29L, 46L, 44L, 5L, 76L, 36L, 
#>             43L, 5L, 20L, 98L, 1L, 20L, 23L, 33L, 33L, 24L, 41L, 
#>             57L, 36L, 91L, 21L, 13L, 98L, 67L, 23L, 38L, 86L, 
#>             14L, 13L, 74L, 72L, 45L, 39L, 38L, 8L, 69L, 47L, 
#>             38L, 34L, 36L, 98L, 36L, 56L, 88L, 28L), ell = c(25L, 
#>             77L, 23L, 63L, 17L, 0L, 2L, 2L, 58L, 23L, 25L, 10L, 
#>             43L, 26L, 7L, 66L, 73L, 20L, 16L, 39L, 6L, 18L, 6L, 
#>             59L, 18L, 3L, 3L, 5L, 7L, 23L, 1L, 17L, 10L, 27L, 
#>             22L, 18L, 0L, 14L, 0L, 2L, 2L, 30L, 7L, 37L, 0L, 
#>             3L, 4L, 46L, 13L, 3L, 42L, 20L, 11L, 0L, 32L, 8L, 
#>             27L, 27L, 43L, 3L, 37L, 22L, 35L, 62L, 17L, 8L, 1L, 
#>             3L, 4L, 37L, 4L, 70L, 80L, 15L, 10L, 22L, 33L, 73L, 
#>             3L, 38L, 0L, 9L, 2L, 11L, 3L, 5L, 0L, 2L, 7L, 62L, 
#>             1L, 28L, 18L, 5L, 25L, 0L, 33L, 21L, 32L, 1L, 7L, 
#>             13L, 22L, 46L, 24L, 18L, 1L, 8L, 16L, 10L, 7L, 50L, 
#>             0L, 40L, 14L, 1L, 37L, 84L, 17L, 33L, 1L, 6L, 2L, 
#>             32L, 1L, 28L, 22L, 20L, 50L, 6L, 17L, 5L, 11L, 33L, 
#>             1L, 14L, 66L, 17L, 41L, 12L, 9L, 54L, 8L, 16L, 24L, 
#>             17L, 2L, 5L, 50L, 24L, 18L, 19L, 12L, 6L, 33L, 0L, 
#>             33L, 28L, 4L, 51L, 8L, 5L, 3L, 25L, 69L, 0L, 10L, 
#>             16L, 6L, 29L, 10L, 7L, 15L, 21L, 34L, 18L, 0L, 49L, 
#>             59L, 10L, 0L, 34L, 4L, 6L, 45L, 50L, 21L, 22L, 14L, 
#>             3L, 34L, 37L, 8L, 12L, 39L, 56L, 14L, 6L, 69L, 4L
#>             ), yr.rnd = c(1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>             1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>             1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), mobility = c(11L, 
#>             26L, 17L, 13L, 31L, 12L, 10L, 15L, 23L, 19L, 26L, 
#>             22L, 16L, 44L, 18L, 18L, 12L, 8L, 17L, 20L, 8L, 6L, 
#>             15L, 10L, 13L, 11L, 12L, 9L, 9L, 18L, 6L, 31L, 16L, 
#>             20L, 13L, 23L, 17L, 17L, 9L, 18L, 8L, 12L, 17L, 17L, 
#>             15L, 22L, 4L, 13L, 9L, 13L, 15L, 9L, 24L, 15L, 32L, 
#>             10L, 12L, 22L, 15L, 38L, 21L, 21L, 18L, 11L, 12L, 
#>             38L, 18L, 16L, 16L, 16L, 9L, 17L, 27L, 9L, 12L, 12L, 
#>             8L, 17L, 16L, 8L, 7L, 5L, 20L, 26L, 16L, 14L, 14L, 
#>             3L, 8L, 22L, 20L, 7L, 19L, 8L, 19L, 8L, 25L, 12L, 
#>             4L, 14L, 12L, 20L, 9L, 26L, 17L, 17L, 6L, 8L, 22L, 
#>             12L, 6L, 17L, 6L, 21L, 16L, 6L, 16L, 6L, 46L, 7L, 
#>             8L, 8L, 20L, 23L, 13L, 15L, 18L, 29L, 17L, 55L, 6L, 
#>             19L, 19L, 21L, 17L, 13L, 23L, 7L, 38L, 12L, 14L, 
#>             13L, 13L, 21L, 10L, 16L, 4L, 10L, 9L, 72L, 10L, 17L, 
#>             99L, 12L, 41L, 16L, 12L, 19L, 10L, 9L, 15L, 13L, 
#>             12L, 15L, 23L, 4L, 8L, 12L, 14L, 11L, 22L, 11L, 15L, 
#>             15L, 9L, 1L, 8L, 12L, 12L, 96L, 18L, 6L, 12L, 10L, 
#>             11L, 26L, 13L, 11L, 20L, 11L, 25L, 7L, 22L, 13L, 
#>             13L, 22L, 12L, 10L, 6L, 6L), acs.k3 = c(20L, 19L, 
#>             20L, 17L, 20L, 19L, 19L, 19L, 20L, 18L, NA, NA, NA, 
#>             NA, NA, 19L, 22L, NA, NA, 18L, 20L, NA, 19L, NA, 
#>             NA, 20L, NA, NA, 16L, NA, NA, 20L, 20L, 18L, NA, 
#>             21L, NA, NA, NA, 19L, NA, NA, 19L, NA, 16L, 18L, 
#>             NA, NA, NA, 20L, NA, 19L, 20L, 18L, 19L, NA, NA, 
#>             NA, 20L, 18L, 19L, 21L, 20L, NA, NA, 19L, 20L, 21L, 
#>             20L, NA, NA, 20L, 20L, NA, 19L, 19L, NA, 22L, 18L, 
#>             NA, NA, NA, 19L, 20L, 18L, NA, 19L, NA, NA, 19L, 
#>             16L, 18L, 19L, NA, 20L, NA, 20L, NA, NA, 18L, 19L, 
#>             NA, NA, NA, 19L, 20L, NA, 19L, NA, 19L, NA, NA, NA, 
#>             19L, NA, NA, 20L, 17L, NA, NA, NA, NA, 18L, 20L, 
#>             NA, 20L, 20L, 18L, 18L, NA, NA, NA, NA, 19L, 18L, 
#>             NA, 19L, NA, 20L, NA, 20L, NA, 20L, NA, NA, 19L, 
#>             NA, NA, 20L, NA, NA, 18L, 18L, NA, 19L, NA, NA, NA, 
#>             NA, 18L, NA, 19L, NA, NA, 20L, NA, NA, NA, NA, NA, 
#>             NA, 17L, NA, NA, NA, NA, NA, NA, 19L, NA, NA, NA, 
#>             19L, NA, 19L, 18L, 18L, 19L, 24L, NA, 20L, NA, NA, 
#>             20L, 20L, 19L, NA, NA, 20L, NA), acs.46 = c(29L, 
#>             28L, 30L, 30L, 30L, 29L, 31L, 31L, 32L, 29L, 32L, 
#>             32L, NA, 32L, NA, 30L, 30L, 32L, NA, 23L, 31L, 33L, 
#>             32L, NA, NA, 28L, NA, NA, 24L, 31L, NA, 31L, 34L, 
#>             27L, 34L, 33L, 24L, 25L, NA, 28L, 26L, NA, 27L, NA, 
#>             22L, 30L, NA, 26L, 30L, 26L, NA, 28L, 29L, 29L, 34L, 
#>             NA, 23L, 26L, 30L, 22L, 29L, 32L, 29L, NA, NA, 30L, 
#>             46L, 30L, 30L, 28L, NA, 29L, 30L, 28L, 22L, NA, NA, 
#>             31L, 29L, 27L, NA, 28L, 29L, 30L, 28L, 25L, 29L, 
#>             28L, NA, 28L, 26L, 26L, 31L, 30L, 31L, NA, 30L, NA, 
#>             NA, 30L, 26L, 38L, NA, 30L, 30L, 27L, NA, 29L, NA, 
#>             28L, NA, 28L, NA, 33L, 28L, NA, 30L, 25L, 30L, 21L, 
#>             25L, NA, 24L, 31L, 25L, 28L, 28L, 28L, 27L, NA, NA, 
#>             34L, NA, 32L, 27L, NA, 28L, NA, 31L, 27L, 33L, NA, 
#>             31L, NA, NA, 30L, NA, NA, 23L, NA, NA, 30L, 30L, 
#>             32L, 27L, 28L, NA, 28L, NA, 29L, NA, 26L, NA, NA, 
#>             23L, NA, NA, NA, NA, NA, NA, 20L, 30L, NA, 28L, NA, 
#>             NA, NA, 23L, NA, 33L, NA, 30L, 29L, 30L, NA, 28L, 
#>             26L, 24L, NA, 28L, NA, NA, 31L, 31L, 28L, NA, 36L, 
#>             32L, NA), acs.core = c(NA, NA, NA, NA, NA, NA, NA, 
#>             NA, NA, NA, 30L, 32L, 27L, 29L, 28L, NA, NA, 34L, 
#>             30L, 21L, NA, 28L, NA, 26L, 32L, NA, 28L, 27L, NA, 
#>             30L, 28L, NA, NA, NA, 29L, NA, 29L, 24L, 25L, NA, 
#>             27L, 27L, NA, 27L, NA, NA, 28L, 23L, 28L, NA, 27L, 
#>             NA, NA, NA, NA, 31L, 23L, 29L, NA, NA, NA, 30L, NA, 
#>             27L, 26L, NA, NA, NA, NA, 24L, 27L, NA, NA, 26L, 
#>             NA, NA, 28L, NA, NA, NA, 22L, NA, NA, NA, NA, 25L, 
#>             NA, 28L, 28L, NA, NA, NA, NA, 29L, NA, 25L, NA, 25L, 
#>             27L, 29L, NA, NA, 30L, 27L, NA, NA, 23L, NA, 27L, 
#>             NA, 29L, 27L, 24L, NA, 29L, 29L, NA, 25L, 31L, 25L, 
#>             NA, 21L, NA, NA, 23L, NA, NA, NA, NA, 29L, 28L, 35L, 
#>             27L, NA, NA, 31L, NA, 20L, NA, 22L, NA, 29L, NA, 
#>             35L, 26L, NA, 31L, 29L, 25L, 32L, 28L, NA, NA, 30L, 
#>             NA, 28L, 29L, 26L, 33L, NA, 27L, NA, 28L, 15L, 28L, 
#>             27L, 27L, 26L, 28L, 30L, 30L, 19L, 31L, 27L, 24L, 
#>             26L, 29L, 29L, NA, 25L, 32L, 27L, NA, 29L, NA, NA, 
#>             NA, NA, NA, 28L, NA, 28L, 26L, NA, NA, NA, 29L, 26L, 
#>             NA, 24L), pct.resp = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 87L, 67L, 50L, 70L, 71L, 2L, 91L, 
#>             0L, 100L, 90L, 83L, 86L, 98L, 5L, 72L, 100L, 84L, 
#>             80L, 100L, 96L, 77L, 90L, 57L, 0L, 94L, 91L, 89L, 
#>             98L, 100L, 94L, 92L, 100L, 74L, 72L, 84L, 94L, 66L, 
#>             97L, 82L, 100L, 87L, 77L, 71L, 5L, 3L, 70L, 86L, 
#>             50L, 96L, 99L, 90L, 42L, 93L, 1L, 97L, 90L, 47L, 
#>             84L, 55L, 85L, 51L, 62L, 0L, 62L, 96L, 54L, 62L, 
#>             95L, 99L, 95L, 93L, 100L, 91L, 96L, 73L, 84L, 98L, 
#>             91L, 64L, 24L, 38L, 85L, 94L, 99L, 96L, 89L, 72L, 
#>             77L, 100L, 96L, 89L, 77L, 97L, 6L, 85L, 56L, 94L, 
#>             79L, 100L, 88L, 76L, 94L, 88L, 99L, 69L, 77L, 86L, 
#>             73L, 55L, 100L, 97L, 91L, 98L, 87L, 61L, 95L, 85L, 
#>             95L, 92L, 1L, 49L, 82L, 80L, 95L, 99L, 12L, 58L, 
#>             96L, 82L, 78L, 95L, 2L, 76L, 91L, 97L, 93L, 96L, 
#>             61L, 67L, 82L, 88L, 73L, 92L, 88L, 95L, 74L, 87L, 
#>             96L, 88L, 96L, 93L, 89L, 28L, 91L, 96L, 91L, 63L, 
#>             85L, 98L, 91L, 66L, 89L, 77L, 43L, 86L, 82L, 68L, 
#>             87L, 86L, 87L, 84L, 82L, 99L, 59L, 98L, 1L, 88L, 
#>             97L, 0L, 99L, 74L, 8L, 100L, 88L, 5L, 96L, 93L, 97L, 
#>             93L), not.hsg = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 31L, 49L, 12L, 20L, 45L, 9L, 22L, 0L, 
#>             60L, 5L, 10L, 2L, 58L, 28L, 1L, 6L, 5L, 2L, 20L, 
#>             1L, 21L, 5L, 20L, 0L, 17L, 4L, 9L, 8L, 11L, 2L, 36L, 
#>             1L, 42L, 3L, 5L, 15L, 26L, 17L, 0L, 53L, 31L, 11L, 
#>             1L, 28L, 11L, 30L, 21L, 6L, 2L, 11L, 13L, 31L, 55L, 
#>             17L, 9L, 0L, 2L, 0L, 32L, 2L, 56L, 56L, 0L, 34L, 
#>             30L, 15L, 51L, 18L, 64L, 6L, 26L, 6L, 6L, 3L, 3L, 
#>             1L, 2L, 4L, 49L, 0L, 14L, 21L, 3L, 17L, 2L, 35L, 
#>             36L, 40L, 4L, 5L, 10L, 27L, 37L, 28L, 18L, 2L, 2L, 
#>             11L, 10L, 6L, 37L, 2L, 43L, 12L, 1L, 22L, 75L, 22L, 
#>             48L, 0L, 13L, 18L, 26L, 7L, 29L, 6L, 12L, 47L, 8L, 
#>             20L, 25L, 8L, 19L, 1L, 13L, 21L, 19L, 34L, 36L, 3L, 
#>             51L, 0L, 5L, 27L, 13L, 0L, 12L, 25L, 47L, 10L, 0L, 
#>             10L, 7L, 15L, 4L, 16L, 33L, 6L, 24L, 22L, 10L, 3L, 
#>             19L, 73L, 1L, 14L, 20L, 16L, 12L, 6L, 2L, 27L, 19L, 
#>             36L, 21L, 3L, 49L, 49L, 15L, 20L, 61L, 6L, 3L, 22L, 
#>             37L, 50L, 10L, 10L, 0L, 22L, 50L, 20L, 9L, 7L, 10L, 
#>             18L, 25L, 41L, 10L), hsg = c(0L, 0L, 0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 34L, 20L, 33L, 20L, 36L, 
#>             64L, 20L, 0L, 24L, 29L, 21L, 21L, 23L, 40L, 8L, 19L, 
#>             21L, 19L, 33L, 11L, 53L, 8L, 30L, 100L, 40L, 36L, 
#>             43L, 24L, 51L, 3L, 25L, 4L, 24L, 20L, 15L, 22L, 30L, 
#>             22L, 5L, 26L, 21L, 24L, 15L, 55L, 27L, 31L, 19L, 
#>             22L, 27L, 25L, 33L, 40L, 23L, 0L, 32L, 9L, 8L, 3L, 
#>             29L, 12L, 26L, 27L, 100L, 11L, 25L, 25L, 30L, 44L, 
#>             19L, 21L, 35L, 26L, 12L, 35L, 11L, 17L, 4L, 9L, 28L, 
#>             10L, 18L, 27L, 20L, 31L, 16L, 47L, 21L, 34L, 40L, 
#>             3L, 19L, 27L, 35L, 36L, 51L, 4L, 5L, 19L, 12L, 8L, 
#>             25L, 20L, 35L, 31L, 3L, 33L, 15L, 23L, 29L, 2L, 30L, 
#>             41L, 27L, 29L, 34L, 25L, 16L, 25L, 14L, 0L, 27L, 
#>             20L, 37L, 15L, 19L, 53L, 16L, 36L, 30L, 9L, 27L, 
#>             20L, 15L, 20L, 30L, 2L, 14L, 13L, 24L, 38L, 10L, 
#>             25L, 9L, 46L, 12L, 23L, 21L, 15L, 28L, 19L, 27L, 
#>             10L, 35L, 17L, 5L, 23L, 15L, 24L, 22L, 24L, 22L, 
#>             22L, 22L, 30L, 26L, 15L, 20L, 18L, 19L, 21L, 24L, 
#>             25L, 7L, 23L, 36L, 50L, 20L, 11L, 0L, 37L, 21L, 28L, 
#>             21L, 17L, 48L, 20L, 34L, 58L, 25L), some.col = c(0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L, 15L, 
#>             23L, 31L, 11L, 18L, 32L, 0L, 13L, 27L, 31L, 46L, 
#>             14L, 18L, 22L, 30L, 31L, 24L, 30L, 30L, 21L, 28L, 
#>             27L, 0L, 19L, 37L, 28L, 35L, 27L, 7L, 26L, 18L, 17L, 
#>             24L, 47L, 29L, 20L, 34L, 26L, 12L, 27L, 39L, 39L, 
#>             10L, 22L, 17L, 28L, 29L, 40L, 26L, 31L, 11L, 14L, 
#>             17L, 33L, 24L, 21L, 14L, 15L, 28L, 8L, 12L, 0L, 45L, 
#>             32L, 31L, 16L, 26L, 14L, 29L, 25L, 23L, 35L, 30L, 
#>             28L, 32L, 23L, 22L, 13L, 36L, 38L, 33L, 34L, 37L, 
#>             36L, 13L, 15L, 16L, 32L, 18L, 37L, 25L, 18L, 20L, 
#>             21L, 11L, 13L, 31L, 29L, 23L, 22L, 40L, 18L, 39L, 
#>             12L, 19L, 6L, 31L, 10L, 14L, 25L, 29L, 33L, 40L, 
#>             23L, 35L, 25L, 17L, 30L, 0L, 20L, 33L, 26L, 37L, 
#>             34L, 6L, 30L, 22L, 24L, 29L, 14L, 40L, 23L, 22L, 
#>             20L, 6L, 31L, 28L, 14L, 17L, 25L, 37L, 32L, 22L, 
#>             35L, 31L, 19L, 31L, 29L, 26L, 43L, 24L, 19L, 7L, 
#>             23L, 25L, 22L, 34L, 26L, 28L, 38L, 28L, 26L, 16L, 
#>             20L, 40L, 15L, 13L, 34L, 33L, 8L, 27L, 29L, 32L, 
#>             21L, 0L, 28L, 32L, 50L, 25L, 14L, 20L, 20L, 33L, 
#>             10L, 29L, 20L, 0L, 34L), col.grad = c(0L, 0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 10L, 12L, 29L, 23L, 
#>             8L, 9L, 16L, 100L, 2L, 28L, 28L, 26L, 3L, 13L, 27L, 
#>             30L, 34L, 44L, 13L, 42L, 5L, 29L, 21L, 0L, 20L, 19L, 
#>             16L, 28L, 10L, 35L, 10L, 42L, 14L, 42L, 20L, 27L, 
#>             21L, 19L, 35L, 8L, 13L, 22L, 33L, 7L, 31L, 19L, 22L, 
#>             39L, 24L, 22L, 17L, 15L, 7L, 67L, 19L, 39L, 39L, 
#>             39L, 23L, 41L, 5L, 4L, 0L, 10L, 10L, 22L, 3L, 9L, 
#>             2L, 33L, 11L, 34L, 28L, 25L, 40L, 41L, 42L, 45L, 
#>             8L, 48L, 21L, 12L, 31L, 12L, 33L, 5L, 22L, 8L, 18L, 
#>             35L, 25L, 17L, 9L, 16L, 6L, 38L, 25L, 30L, 32L, 41L, 
#>             13L, 30L, 4L, 15L, 44L, 24L, 2L, 18L, 12L, 43L, 30L, 
#>             11L, 11L, 20L, 10L, 22L, 35L, 8L, 36L, 40L, 25L, 
#>             33L, 11L, 32L, 23L, 19L, 30L, 6L, 7L, 36L, 8L, 10L, 
#>             37L, 24L, 27L, 36L, 31L, 19L, 13L, 28L, 40L, 18L, 
#>             20L, 15L, 36L, 25L, 21L, 32L, 10L, 21L, 12L, 43L, 
#>             19L, 2L, 44L, 31L, 30L, 21L, 28L, 34L, 32L, 18L, 
#>             25L, 16L, 29L, 27L, 14L, 13L, 16L, 21L, 5L, 35L, 
#>             36L, 16L, 3L, 0L, 35L, 23L, 0L, 11L, 14L, 31L, 27L, 
#>             33L, 33L, 25L, 16L, 0L, 25L), grad.sch = c(0L, 0L, 
#>             0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 4L, 3L, 6L, 
#>             0L, 0L, 11L, 0L, 2L, 11L, 10L, 5L, 1L, 1L, 43L, 16L, 
#>             8L, 11L, 4L, 17L, 1L, 30L, 2L, 0L, 3L, 4L, 4L, 4L, 
#>             1L, 54L, 3L, 36L, 2L, 11L, 13L, 8L, 3L, 9L, 33L, 
#>             2L, 8L, 5L, 12L, 0L, 9L, 4L, 11L, 4L, 7L, 16L, 6L, 
#>             3L, 1L, 0L, 7L, 28L, 30L, 43L, 2L, 16L, 4L, 1L, 0L, 
#>             0L, 3L, 7L, 0L, 3L, 1L, 11L, 3L, 11L, 19L, 7L, 17L, 
#>             10L, 30L, 20L, 1L, 6L, 9L, 7L, 13L, 3L, 12L, 1L, 
#>             6L, 2L, 6L, 39L, 9L, 3L, 2L, 0L, 3L, 45L, 55L, 10L, 
#>             17L, 22L, 2L, 8L, 0L, 4L, 41L, 3L, 1L, 7L, 1L, 41L, 
#>             2L, 2L, 2L, 5L, 4L, 12L, 12L, 4L, 12L, 40L, 3L, 5L, 
#>             8L, 15L, 11L, 2L, 5L, 2L, 3L, 23L, 1L, 30L, 20L, 
#>             7L, 10L, 55L, 13L, 16L, 2L, 7L, 24L, 10L, 33L, 2L, 
#>             14L, 5L, 5L, 15L, 9L, 11L, 9L, 21L, 8L, 1L, 28L, 
#>             7L, 14L, 5L, 12L, 8L, 5L, 6L, 8L, 2L, 4L, 14L, 1L, 
#>             7L, 16L, 6L, 1L, 9L, 25L, 7L, 2L, 0L, 7L, 24L, 50L, 
#>             4L, 1L, 2L, 23L, 10L, 0L, 9L, 4L, 0L, 5L), avg.ed = c(3.3199999332428, 
#>             1.66999995708466, 2.33999991416931, 1.86000001430511, 
#>             3.17000007629395, 3.64000010490417, 3.54999995231628, 
#>             3.09999990463257, 2.17000007629395, 2.8199999332428, 
#>             2.21000003814697, 2.22000002861023, 2.00999999046326, 
#>             2.78999996185303, 2.73000001907349, 1.82000005245209, 
#>             2.26999998092651, 2.75, 4, 1.61000001430511, 3.10999989509583, 
#>             3.05999994277954, 3.13000011444092, 1.67999994754791, 
#>             2.19000005722046, 4.03000020980835, 3.30999994277954, 
#>             3.20000004768372, 3.41000008583069, 2.48000001907349, 
#>             3.63000011444092, 2.11999988555908, 3.71000003814697, 
#>             2.54999995231628, 2, 2.50999999046326, 2.83999991416931, 
#>             2.60999989509583, 2.97000002861023, 2.39000010490417, 
#>             4.36999988555908, 2.19000005722046, 4.09000015258789, 
#>             2.10999989509583, 3.36999988555908, 3.19000005722046, 
#>             2.90000009536743, 2.45000004768372, 2.8199999332428, 
#>             3.96000003814697, 1.78999996185303, 2.47000002861023, 
#>             2.85999989509583, 3.41000008583069, 1.97000002861023, 
#>             3, 2.34999990463257, 2.82999992370605, 3.14000010490417, 
#>             3.08999991416931, 3.07999992370605, 2.70000004768372, 
#>             2.20000004768372, 1.76999998092651, 3.32999992370605, 
#>             2.82999992370605, 3.84999990463257, 3.88000011444092, 
#>             4.21999979019165, 2.34999990463257, 3.5699999332428, 
#>             1.75999999046326, 1.67999994754791, 2, 2.3199999332428, 
#>             2.29999995231628, 2.8199999332428, 1.73000001907349, 
#>             2.35999989509583, 1.57000005245209, 3.21000003814697, 
#>             2.30999994277954, 3.1800000667572, 3.4300000667572, 
#>             2.97000002861023, 3.55999994277954, 3.4300000667572, 
#>             3.95000004768372, 3.67000007629395, 1.8400000333786, 
#>             3.49000000953674, 2.9300000667572, 2.5699999332428, 
#>             3.30999994277954, 2.53999996185303, 3.38000011444092, 
#>             1.88999998569489, 2.41000008583069, 1.96000003814697, 
#>             2.82999992370605, 3.99000000953674, 3.03999996185303, 
#>             2.42000007629395, 2.04999995231628, 2.24000000953674, 
#>             2.24000000953674, 4.19999980926514, 4.26000022888184, 
#>             3.09999990463257, 3.34999990463257, 3.64000010490417, 
#>             2.19000005722046, 3.22000002861023, 1.83000004291534, 
#>             2.67000007629395, 4.21000003814697, 2.52999997138977, 
#>             1.37999999523163, 2.66000008583069, 1.87000000476837, 
#>             4.23000001907349, 2.76999998092651, 2.36999988555908, 
#>             2.35999989509583, 2.86999988555908, 2.26999998092651, 
#>             3.0699999332428, 3.20000004768372, 1.96000003814697, 
#>             3.29999995231628, 3.79999995231628, 2.51999998092651, 
#>             3.07999992370605, 2.51999998092651, 3.46000003814697, 
#>             3, 2.27999997138977, 2.85999989509583, 2.0699999332428, 
#>             2.11999988555908, 3.66000008583069, 1.82000005245209, 
#>             3.5, 3.52999997138977, 2.64000010490417, 2.89000010490417, 
#>             4.44000005722046, 3.19000005722046, 2.88000011444092, 
#>             1.99000000953674, 2.84999990463257, 3.78999996185303, 
#>             2.9300000667572, 3.61999988555908, 2.44000005722046, 
#>             3.44000005722046, 2.79999995231628, 2.44000005722046, 
#>             3.33999991416931, 2.50999999046326, 2.78999996185303, 
#>             2.82999992370605, 3.6800000667572, 2.61999988555908, 
#>             1.41999995708466, 3.9300000667572, 2.95000004768372, 
#>             3.02999997138977, 2.75, 3.04999995231628, 3.13000011444092, 
#>             3.16000008583069, 2.52999997138977, 2.79999995231628, 
#>             2.19000005722046, 2.6800000667572, 3.33999991416931, 
#>             1.97000002861023, 2.09999990463257, 2.99000000953674, 
#>             2.74000000953674, 1.62000000476837, 3.16000008583069, 
#>             3.71000003814697, 2.63000011444092, 1.98000001907349, 
#>             1.5, 3.09999990463257, 3.40000009536743, 4, 2.38000011444092, 
#>             1.96000003814697, 2.67000007629395, 3.33999991416931, 
#>             3.23000001907349, 2.67000007629395, 2.85999989509583, 
#>             2.40000009536743, 1.61000001430511, 2.91000008583069
#>             ), full = c(100L, 57L, 81L, 64L, 90L, 95L, 96L, 93L, 
#>             91L, 96L, 84L, 65L, 93L, 55L, 80L, 67L, 97L, 89L, 
#>             100L, 90L, 97L, 89L, 78L, 81L, 81L, 95L, 77L, 95L, 
#>             88L, 100L, 97L, 31L, 91L, 98L, 66L, 94L, 94L, 84L, 
#>             47L, 96L, 97L, 82L, 100L, 85L, 100L, 97L, 84L, 88L, 
#>             93L, 93L, 100L, 95L, 100L, 83L, 78L, 98L, 77L, 100L, 
#>             95L, 100L, 97L, 87L, 24L, 91L, 68L, 95L, 100L, 97L, 
#>             93L, 64L, 92L, 81L, 80L, 72L, 100L, 84L, 94L, 80L, 
#>             89L, 56L, 100L, 95L, 96L, 97L, 100L, 99L, 100L, 100L, 
#>             99L, 100L, 73L, 92L, 91L, 86L, 90L, 98L, 67L, 81L, 
#>             89L, 93L, 100L, 76L, 79L, 56L, 78L, 96L, 93L, 100L, 
#>             100L, 100L, 96L, 90L, 100L, 94L, 97L, 93L, 61L, 75L, 
#>             80L, 73L, 100L, 100L, 100L, 100L, 100L, 82L, 88L, 
#>             74L, 82L, 84L, 92L, 62L, 91L, 85L, 100L, 91L, 78L, 
#>             94L, 81L, 70L, 86L, 84L, 100L, 88L, 84L, 100L, 93L, 
#>             95L, 94L, 55L, 88L, 96L, 73L, 92L, 84L, 95L, 85L, 
#>             81L, 99L, 67L, 94L, 92L, 95L, 87L, 78L, 98L, 92L, 
#>             83L, 66L, 81L, 80L, 92L, 96L, 96L, 66L, 84L, 92L, 
#>             70L, 100L, 97L, 71L, 83L, 97L, 100L, 82L, 91L, 96L, 
#>             68L, 88L, 88L, 83L, 68L, 65L, 67L, 100L, 42L, 95L, 
#>             78L, 95L, 97L), emer = c(0L, 40L, 26L, 24L, 7L, 0L, 
#>             0L, 8L, 14L, 0L, 18L, 37L, 17L, 26L, 19L, 33L, 3L, 
#>             13L, 7L, 14L, 0L, 11L, 22L, 19L, 15L, 0L, 17L, 6L, 
#>             4L, 8L, 3L, 63L, 3L, 9L, 35L, 6L, 13L, 16L, 47L, 
#>             4L, 6L, 18L, 3L, 18L, 0L, 3L, 9L, 0L, 7L, 0L, 0L, 
#>             8L, 0L, 9L, 23L, 0L, 17L, 6L, 5L, 0L, 3L, 5L, 72L, 
#>             15L, 34L, 5L, 0L, 3L, 4L, 29L, 10L, 22L, 17L, 28L, 
#>             0L, 13L, 13L, 20L, 11L, 44L, 2L, 0L, 7L, 3L, 0L, 
#>             3L, 0L, 0L, 4L, 12L, 19L, 17L, 15L, 14L, 10L, 2L, 
#>             28L, 14L, 11L, 5L, 0L, 12L, 24L, 40L, 16L, 4L, 7L, 
#>             0L, 21L, 0L, 4L, 14L, 0L, 9L, 3L, 8L, 39L, 25L, 17L, 
#>             30L, 0L, 10L, 0L, 0L, 0L, 11L, 6L, 11L, 18L, 14L, 
#>             8L, 15L, 8L, 15L, 0L, 5L, 11L, 6L, 16L, 37L, 7L, 
#>             16L, 3L, 12L, 1L, 0L, 7L, 3L, 6L, 42L, 12L, 4L, 24L, 
#>             14L, 12L, 5L, 15L, 3L, 4L, 33L, 6L, 8L, 8L, 10L, 
#>             19L, 2L, 10L, 13L, 25L, 19L, 13L, 0L, 1L, 6L, 28L, 
#>             14L, 8L, 30L, 0L, 6L, 18L, 17L, 6L, 3L, 7L, 9L, 0L, 
#>             26L, 12L, 5L, 17L, 28L, 34L, 30L, 0L, 39L, 4L, 13L, 
#>             5L, 3L), enroll = c(276L, 841L, 441L, 298L, 354L, 
#>             330L, 385L, 583L, 763L, 381L, 1293L, 1043L, 2165L, 
#>             739L, 1894L, 1112L, 515L, 1116L, 739L, 262L, 528L, 
#>             912L, 278L, 357L, 2552L, 266L, 1105L, 1586L, 256L, 
#>             1173L, 539L, 443L, 450L, 553L, 1527L, 589L, 363L, 
#>             475L, 331L, 312L, 558L, 983L, 474L, 1423L, 184L, 
#>             446L, 682L, 491L, 715L, 369L, 179L, 681L, 263L, 313L, 
#>             522L, 1820L, 598L, 1162L, 339L, 334L, 323L, 655L, 
#>             388L, 817L, 1033L, 342L, 355L, 537L, 382L, 2039L, 
#>             1345L, 444L, 603L, 390L, 264L, 158L, 618L, 643L, 
#>             424L, 541L, 532L, 473L, 337L, 447L, 334L, 1115L, 
#>             290L, 767L, 1956L, 660L, 285L, 143L, 555L, 829L, 
#>             382L, 695L, 571L, 637L, 529L, 619L, 270L, 775L, 1515L, 
#>             954L, 441L, 387L, 633L, 227L, 893L, 155L, 1771L, 
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#>             770L, 934L, 678L, 348L, 714L, 708L, 2018L, 271L, 
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#>             500L, 917L, 914L, 1958L, 814L, 595L, 756L, 123L, 
#>             1254L, 1137L, 1995L, 1111L, 430L, 1208L, 175L, 1306L, 
#>             1082L, 2900L, 372L, 1182L, 347L, 142L, 332L, 168L, 
#>             314L, 691L, 457L, 1248L, 1178L, 352L, 534L, 351L, 
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#>             15.1000003814697, 20.3600006103516, 44.2099990844727, 
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#>             4, 6, 45, 50, 21, 22, 14, 3, 34, 37, 8, 12, 39, 56, 
#>             14, 6, 69, 4), mealsnum = c(33, 98, 64, 83, 26, 7, 
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#>             83, 52, 42, 38, 39, 100, 19, 19, 99, 34, 78, 10, 
#>             36, 98, 23, 69, 66, 28, 73, 25, 29, 31, 33, 0, 21, 
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#>             43, 5, 20, 98, 1, 20, 23, 33, 33, 24, 41, 57, 36, 
#>             91, 21, 13, 98, 67, 23, 38, 86, 14, 13, 74, 72, 45, 
#>             39, 38, 8, 69, 47, 38, 34, 36, 98, 36, 56, 88, 28
#>             ), mobilitynum = c(11, 26, 17, 13, 31, 12, 10, 15, 
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#>             12, 12, 8, 17, 16, 8, 7, 5, 20, 26, 16, 14, 14, 3, 
#>             8, 22, 20, 7, 19, 8, 19, 8, 25, 12, 4, 14, 12, 20, 
#>             9, 26, 17, 17, 6, 8, 22, 12, 6, 17, 6, 21, 16, 6, 
#>             16, 6, 46, 7, 8, 8, 20, 23, 13, 15, 18, 29, 17, 55, 
#>             6, 19, 19, 21, 17, 13, 23, 7, 38, 12, 14, 13, 13, 
#>             21, 10, 16, 4, 10, 9, 72, 10, 17, 99, 12, 41, 16, 
#>             12, 19, 10, 9, 15, 13, 12, 15, 23, 4, 8, 12, 14, 
#>             11, 22, 11, 15, 15, 9, 1, 8, 12, 12, 96, 18, 6, 12, 
#>             10, 11, 26, 13, 11, 20, 11, 25, 7, 22, 13, 13, 22, 
#>             12, 10, 6, 6), col.gradnum = c(0, 0, 0, 0, 0, 0, 
#>             0, 0, 0, 0, 0, 10, 12, 29, 23, 8, 9, 16, 100, 2, 
#>             28, 28, 26, 3, 13, 27, 30, 34, 44, 13, 42, 5, 29, 
#>             21, 0, 20, 19, 16, 28, 10, 35, 10, 42, 14, 42, 20, 
#>             27, 21, 19, 35, 8, 13, 22, 33, 7, 31, 19, 22, 39, 
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#>             4, 0, 10, 10, 22, 3, 9, 2, 33, 11, 34, 28, 25, 40, 
#>             41, 42, 45, 8, 48, 21, 12, 31, 12, 33, 5, 22, 8, 
#>             18, 35, 25, 17, 9, 16, 6, 38, 25, 30, 32, 41, 13, 
#>             30, 4, 15, 44, 24, 2, 18, 12, 43, 30, 11, 11, 20, 
#>             10, 22, 35, 8, 36, 40, 25, 33, 11, 32, 23, 19, 30, 
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#>             40, 18, 20, 15, 36, 25, 21, 32, 10, 21, 12, 43, 19, 
#>             2, 44, 31, 30, 21, 28, 34, 32, 18, 25, 16, 29, 27, 
#>             14, 13, 16, 21, 5, 35, 36, 16, 3, 0, 35, 23, 0, 11, 
#>             14, 31, 27, 33, 33, 25, 16, 0, 25), fullnum = c(100, 
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#>             47, 96, 97, 82, 100, 85, 100, 97, 84, 88, 93, 93, 
#>             100, 95, 100, 83, 78, 98, 77, 100, 95, 100, 97, 87, 
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#>             100, 100, 99, 100, 73, 92, 91, 86, 90, 98, 67, 81, 
#>             89, 93, 100, 76, 79, 56, 78, 96, 93, 100, 100, 100, 
#>             96, 90, 100, 94, 97, 93, 61, 75, 80, 73, 100, 100, 
#>             100, 100, 100, 82, 88, 74, 82, 84, 92, 62, 91, 85, 
#>             100, 91, 78, 94, 81, 70, 86, 84, 100, 88, 84, 100, 
#>             93, 95, 94, 55, 88, 96, 73, 92, 84, 95, 85, 81, 99, 
#>             67, 94, 92, 95, 87, 78, 98, 92, 83, 66, 81, 80, 92, 
#>             96, 96, 66, 84, 92, 70, 100, 97, 71, 83, 97, 100, 
#>             82, 91, 96, 68, 88, 88, 83, 68, 65, 67, 100, 42, 
#>             95, 78, 95, 97), col.gradnumr = c(100, 100, 100, 
#>             100, 100, 100, 100, 100, 100, 100, 100, 90, 88, 71, 
#>             77, 92, 91, 84, 0, 98, 72, 72, 74, 97, 87, 73, 70, 
#>             66, 56, 87, 58, 95, 71, 79, 100, 80, 81, 84, 72, 
#>             90, 65, 90, 58, 86, 58, 80, 73, 79, 81, 65, 92, 87, 
#>             78, 67, 93, 69, 81, 78, 61, 76, 78, 83, 85, 93, 33, 
#>             81, 61, 61, 61, 77, 59, 95, 96, 100, 90, 90, 78, 
#>             97, 91, 98, 67, 89, 66, 72, 75, 60, 59, 58, 55, 92, 
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#>             91, 84, 94, 62, 75, 70, 68, 59, 87, 70, 96, 85, 56, 
#>             76, 98, 82, 88, 57, 70, 89, 89, 80, 90, 78, 65, 92, 
#>             64, 60, 75, 67, 89, 68, 77, 81, 70, 94, 93, 64, 92, 
#>             90, 63, 76, 73, 64, 69, 81, 87, 72, 60, 82, 80, 85, 
#>             64, 75, 79, 68, 90, 79, 88, 57, 81, 98, 56, 69, 70, 
#>             79, 72, 66, 68, 82, 75, 84, 71, 73, 86, 87, 84, 79, 
#>             95, 65, 64, 84, 97, 100, 65, 77, 100, 89, 86, 69, 
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#>         1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 
#>         1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 3L, 1L, 
#>         1L, 3L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 1L, 
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#>         1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 3L, 
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#>         1L, 2L), name = c("Open Magnet: Ce", "Belvedere Eleme", 
#>         "Altadena Elemen", "Soto Street Ele", "Walnut Canyon E", 
#>         "Atherwood Eleme", "Township Elemen", "Thorner (Dr. Ju", 
#>         "Nicoloff (Georg", "Valle Lindo Ele", "Frisbie Middle", 
#>         "Rivera (Tomas) ", "Roosevelt High", "Frick Middle", 
#>         "Rancho Verde Hi", "Corona Avenue E", "Rosita Elementa", 
#>         "Cree (Raymond) ", "Rancho San Joaq", "Orange Center E", 
#>         "Pine Street Ele", "Buchser Middle", "Frost (Earl) El", 
#>         "Farmersville Hi", "Fontana Miller ", "Crocker Highlan", 
#>         "South Hills Hig", "Rancho Cotate H", "Kentwood Elemen", 
#>         "La Presa Middle", "San Lorenzo Val", "Tibby Elementar", 
#>         "Lowell Elementa", "Centennial Elem", "Marshall Fundam", 
#>         "Miramonte Eleme", "Sierra Ridge Mi", "Carquinez Middl", 
#>         "Frazier Mountai", "Sierra Vista El", "Hillview Middle", 
#>         "Gladstone High", "Highland Ranch ", "Overfelt (Willi", 
#>         "Ophir Elementar", "Valley View Ele", "Escalon High", 
#>         "Everett Middle", "El Portal Middl", "Tustin Memorial", 
#>         "Johnson (Lloyd ", "Rocky Hill Elem", "Lassen View Ele", 
#>         "Broadacres Aven", "Kelley Elementa", "Royal High", "Benjamin Frankl", 
#>         "Marston Middle", "Monroe (James) ", "Condor Elementa", 
#>         "Vargas Elementa", "Fairgrove Acade", "Bursch Elementa", 
#>         "Doig (Leroy L.)", "Muir High", "Faller Elementa", "Legette (Earl) ", 
#>         "Highlands Eleme", "Bancroft Elemen", "Mt. Vernon Midd", 
#>         "La Mesa Jr. Hig", "McKinley Elemen", "Walker Elementa", 
#>         "Navelencia Midd", "Olson (Ione) El", "Dos Palos Eleme", 
#>         "King (Martin Lu", "Edison Elementa", "Kohn (Frank) El", 
#>         "Myrtle Avenue E", "McKinleyville H", "Mark Twain Elem", 
#>         "Stockdale Eleme", "Muir (John) Ele", "Madrone Element", 
#>         "San Diego Schoo", "Redwood Element", "Sinaloa Middle", 
#>         "El Toro High", "Leavenworth (An", "Annalee Avenue ", 
#>         "Clarksburg Elem", "Monroe Elementa", "Pine Hollow Mid", 
#>         "Merlinda Elemen", "Amador County H", "Lewis (Mary B.)", 
#>         "Downtown Busine", "Jefferson (Thom", "Elliott (Brock)", 
#>         "Murwood Element", "Benton (Reginal", "Bloomington Hig", 
#>         "Vernon Middle", "Hemlock Element", "Roosevelt Eleme", 
#>         "Tamalpais High", "Thornhill Eleme", "Brannan (Sam) M", 
#>         "Old Adobe Eleme", "San Clemente Hi", "Fairview Middle", 
#>         "Summerville Hig", "King Elementary", "Palm Middle", 
#>         "San Ramon Valle", "Wilcox Elementa", "Cantua Elementa", 
#>         "Shandin Hills M", "McFarland Middl", "Ridgeview Eleme", 
#>         "Lone Pine High", "Meadow Lane Ele", "Norman (Alyce) ", 
#>         "Evergreen Middl", "Elkhorn Element", "Lynhaven Elemen", 
#>         "Haynes Elementa", "Sun Empire Elem", "Santiago High", 
#>         "Goleta Valley J", "Willowbrook Mid", "Foothill High", 
#>         "Bryant Elementa", "Olive Drive Ele", "Sierra Middle", 
#>         "El Sereno Eleme", "Delta High", "Myra Linn Eleme", "Bryant Middle", 
#>         "Twain Elementar", "Wiltsey (Ray) M", "Miller Elementa", 
#>         "Mira Loma High", "Willow Glen Hig", "College View El", 
#>         "La Canada High", "Rancho Buena Vi", "Cali Calmecac (", 
#>         "Dominguez High", "Douglass Junior", "Dunsmore Elemen", 
#>         "Joshua Hills El", "Cabrillo Middle", "Broad Avenue El", 
#>         "Sisson Elementa", "Ralston (Dr. Wa", "Steinbeck Middl", 
#>         "Beyer (Fred C.)", "Franklin (Benja", "Silverado Middl", 
#>         "Bedell (Thelma ", "Trabuco Hills H", "O'Connell (John", 
#>         "San Joaquin Ele", "Oak Ridge High", "South San Franc", 
#>         "Hamilton (Alexa", "Antelope Valley", "Rancho Milpitas", 
#>         "Pinole Junior H", "Big Pine Elemen", "Washington Midd", 
#>         "Sacramento High", "El Sereno Middl", "Burton (Phillip", 
#>         "Mariposa County", "Compton High", "Anderson Valley", 
#>         "Ukiah High", "Workman (James)", "Garfield (James", "Del Lago Elemen", 
#>         "Meadowbrook Mid", "Laurel Elementa", "El Cerrito Elem", 
#>         "Santa Susana El", "Fairwood Elemen", "Pacific (K-8)", 
#>         "Santa Susana Hi", "Machado Element", "Delano High", 
#>         "Pittsburg Senio", "Emperor Element", "Alvarado Elemen", 
#>         "One Hundred Twe", "Corona Senior H", "Sycamore Middle", 
#>         "Larsen (Ansgar)", "Lincoln High (C"), sname = c("Open Magnet: Center for Individual (Char", 
#>         "Belvedere Elementary", "Altadena Elementary", "Soto Street Elementary", 
#>         "Walnut Canyon Elementary", "Atherwood Elementary", "Township Elementary", 
#>         "Thorner (Dr. Juliet) Elementary", "Nicoloff (George) Elementary", 
#>         "Valle Lindo Elementary", "Frisbie Middle", "Rivera (Tomas) Middle", 
#>         "Roosevelt High", "Frick Middle", "Rancho Verde High", 
#>         "Corona Avenue Elementary", "Rosita Elementary", "Cree (Raymond) Middle", 
#>         "Rancho San Joaquin Middle", "Orange Center Elementary", 
#>         "Pine Street Elementary", "Buchser Middle", "Frost (Earl) Elementary", 
#>         "Farmersville High", "Fontana Miller (A.B.) High", "Crocker Highlands Elementary", 
#>         "South Hills High", "Rancho Cotate High", "Kentwood Elementary", 
#>         "La Presa Middle", "San Lorenzo Valley Junior High", 
#>         "Tibby Elementary", "Lowell Elementary", "Centennial Elementary", 
#>         "Marshall Fundamental", "Miramonte Elementary", "Sierra Ridge Middle", 
#>         "Carquinez Middle", "Frazier Mountain High", "Sierra Vista Elementary", 
#>         "Hillview Middle", "Gladstone High", "Highland Ranch Elementary", 
#>         "Overfelt (William C.) High", "Ophir Elementary", "Valley View Elementary", 
#>         "Escalon High", "Everett Middle", "El Portal Middle", 
#>         "Tustin Memorial Elementary", "Johnson (Lloyd G.) Jr. High", 
#>         "Rocky Hill Elementary", "Lassen View Elementary", "Broadacres Avenue Elementary", 
#>         "Kelley Elementary", "Royal High", "Benjamin Franklin Middle", 
#>         "Marston Middle", "Monroe (James) Elementary", "Condor Elementary", 
#>         "Vargas Elementary", "Fairgrove Academy (K-8)", "Bursch Elementary", 
#>         "Doig (Leroy L.) Intermediate", "Muir High", "Faller Elementary", 
#>         "Legette (Earl) Elementary", "Highlands Elementary", 
#>         "Bancroft Elementary", "Mt. Vernon Middle", "La Mesa Jr. High", 
#>         "McKinley Elementary", "Walker Elementary", "Navelencia Middle", 
#>         "Olson (Ione) Elementary", "Dos Palos Elementary", "King (Martin Luther Jr) Middle", 
#>         "Edison Elementary", "Kohn (Frank) Elementary", "Myrtle Avenue Elementary", 
#>         "McKinleyville High", "Mark Twain Elementary", "Stockdale Elementary", 
#>         "Muir (John) Elementary", "Madrone Elementary", "San Diego School of Creative & Performin", 
#>         "Redwood Elementary", "Sinaloa Middle", "El Toro High", 
#>         "Leavenworth (Ann B.) Elementary", "Annalee Avenue Elementary", 
#>         "Clarksburg Elementary", "Monroe Elementary", "Pine Hollow Middle", 
#>         "Merlinda Elementary", "Amador County High", "Lewis (Mary B.) Elementary", 
#>         "Downtown Business High", "Jefferson (Thomas) Middle", 
#>         "Elliott (Brock) Elementary", "Murwood Elementary", "Benton (Reginald M.) Middle", 
#>         "Bloomington High", "Vernon Middle", "Hemlock Elementary", 
#>         "Roosevelt Elementary", "Tamalpais High", "Thornhill Elementary", 
#>         "Brannan (Sam) Middle", "Old Adobe Elementary", "San Clemente High", 
#>         "Fairview Middle", "Summerville High", "King Elementary", 
#>         "Palm Middle", "San Ramon Valley High", "Wilcox Elementary", 
#>         "Cantua Elementary", "Shandin Hills Middle", "McFarland Middle", 
#>         "Ridgeview Elementary", "Lone Pine High", "Meadow Lane Elementary", 
#>         "Norman (Alyce) Elementary", "Evergreen Middle", "Elkhorn Elementary", 
#>         "Lynhaven Elementary", "Haynes Elementary", "Sun Empire Elementary", 
#>         "Santiago High", "Goleta Valley Junior High", "Willowbrook Middle", 
#>         "Foothill High", "Bryant Elementary", "Olive Drive Elementary", 
#>         "Sierra Middle", "El Sereno Elementary", "Delta High", 
#>         "Myra Linn Elementary", "Bryant Middle", "Twain Elementary", 
#>         "Wiltsey (Ray) Middle", "Miller Elementary", "Mira Loma High", 
#>         "Willow Glen High", "College View Elementary", "La Canada High", 
#>         "Rancho Buena Vista High", "Cali Calmecac (Charter #162)", 
#>         "Dominguez High", "Douglass Junior High", "Dunsmore Elementary", 
#>         "Joshua Hills Elementary", "Cabrillo Middle", "Broad Avenue Elementary", 
#>         "Sisson Elementary", "Ralston (Dr. Walter C.) Intermediate", 
#>         "Steinbeck Middle", "Beyer (Fred C.) High", "Franklin (Benjamin) Elementary", 
#>         "Silverado Middle", "Bedell (Thelma B.) Elementary", 
#>         "Trabuco Hills High", "O'Connell (John A.) High", "San Joaquin Elementary", 
#>         "Oak Ridge High", "South San Francisco High", "Hamilton (Alexander) Senior Hi", 
#>         "Antelope Valley High", "Rancho Milpitas Junior High", 
#>         "Pinole Junior High", "Big Pine Elementary", "Washington Middle", 
#>         "Sacramento High", "El Sereno Middle", "Burton (Phillip & Sala) Academic High", 
#>         "Mariposa County High", "Compton High", "Anderson Valley Elementary", 
#>         "Ukiah High", "Workman (James) Middle", "Garfield (James A.) Senior High", 
#>         "Del Lago Elementary", "Meadowbrook Middle", "Laurel Elementary", 
#>         "El Cerrito Elementary", "Santa Susana Elementary", "Fairwood Elementary", 
#>         "Pacific (K-8)", "Santa Susana High", "Machado Elementary", 
#>         "Delano High", "Pittsburg Senior High", "Emperor Elementary", 
#>         "Alvarado Elementary", "One Hundred Twelfth Street Elementary", 
#>         "Corona Senior High", "Sycamore Middle", "Larsen (Ansgar) Elementary", 
#>         "Lincoln High (Char)"), snum = c(2077, 1622, 2236, 1921, 
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#>         5245, 3154, 716, 2755, 2712, 114, 3122, 5903, 980, 783, 
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#>         2180, 3968, 4074, 4026, 5967, 2617, 208, 3786, 5641, 
#>         2878, 2807, 5976, 688, 4406, 508, 2129, 759, 4172, 1042, 
#>         3283, 864, 5505, 6155, 5843, 2799, 5196, 1760, 753, 3364, 
#>         5162, 2445, 3678, 1475, 999, 4796, 1702, 3718, 3351, 
#>         2711, 1520, 4067, 4352, 3807, 5356, 3074, 1414, 4639, 
#>         5719, 2427, 6173, 1358, 2192, 6098, 1631, 5550, 2999, 
#>         5391, 5762, 1360, 2831, 6052, 3181, 4694, 760, 551, 5076, 
#>         1565, 1132, 5446, 498, 859, 4649, 3732, 2072, 4686, 2625, 
#>         2426, 2631, 2641, 3497, 1563, 3203, 4426, 189, 3030, 
#>         6068, 5421, 4801, 6054, 3563, 938, 448, 2338, 146, 1858, 
#>         3365, 336, 5986, 3324), dname = c("Los Angeles Unified", 
#>         "Los Angeles Unified", "Pasadena Unified", "Los Angeles Unified", 
#>         "Moorpark Unified", "Simi Valley Unified", "Simi Valley Unified", 
#>         "Bakersfield City Elem", "South Bay Union Elem", "Chula Vista Elementary", 
#>         "Rialto Unified", "Val Verde Unified", "Fresno Unified", 
#>         "Oakland Unified", "Val Verde Unified", "Los Angeles Unified", 
#>         "Garden Grove Unified", "Palm Springs Unified", "Irvine Unified", 
#>         "Orange Center Elementary", "Bishop Union Elementary", 
#>         "Santa Clara Unified", "Oak Grove Elementary", "Farmersville Unified", 
#>         "Fontana Unified", "Oakland Unified", "Covina-Valley Unified", 
#>         "Cotati-Rohnert Park Unif", "Los Angeles Unified", "La Mesa-Spring Valley", 
#>         "San Lorenzo Valley Unif", "Compton Unified", "Long Beach Unified", 
#>         "Fresno Unified", "Pasadena Unified", "Clovis Unified", 
#>         "Pollock Pines Elementary", "John Swett Unified", "El Tejon Unified", 
#>         "Vacaville Unified", "Menlo Park City Elem", "Azusa Unified", 
#>         "Poway Unified", "East Side Union High", "Ophir Elementary", 
#>         "Westside Union Elem", "Escalon Unified", "San Francisco Unified", 
#>         "Escalon Unified", "Tustin Unified", "Pierce Joint Unified", 
#>         "Exeter Union Elementary", "Enterprise Elementary", "Los Angeles Unified", 
#>         "Rialto Unified", "Simi Valley Unified", "San Francisco Unified", 
#>         "San Diego City Unified", "Garden Grove Unified", "Morongo Unified", 
#>         "Sunnyvale Elementary", "Hacienda la Puente Unif", "Compton Unified", 
#>         "Garden Grove Unified", "Pasadena Unified", "Sierra Sands Unified", 
#>         "San Juan Unified", "Mt. Diablo Unified", "Mt. Diablo Unified", 
#>         "Los Angeles Unified", "William S. Hart High", "Franklin-McKinley Elem", 
#>         "Santa Ana Unified", "Kings Canyon Unified", "Monterey Peninsula Unif.", 
#>         "Dos Palos Oro Loma Unif", "Hayward Unified", "Santa Ana Unified", 
#>         "Tulare City Elementary", "Lamont Elementary", "Northern Humboldt High", 
#>         "Corcoran Joint Unified", "Panama Buena Vista Elem", 
#>         "Lodi Unified", "Rincon Valley Union Elem", "San Diego City Unified", 
#>         "San Lorenzo Valley Unif", "Novato Unified", "Saddleback Valley Unif", 
#>         "Fresno Unified", "Los Angeles Unified", "River Delta Joint Unif", 
#>         "Riverside Unified", "Mt. Diablo Unified", "West Covina Unified", 
#>         "Amador County Unified", "Colton Joint Unified", "Los Angeles Unified", 
#>         "Wasco Union Elementary", "Manteca Unified", "Walnut Creek Elementary", 
#>         "Norwalk-La Mirada Unif", "Colton Joint Unified", "Ontario-Montclair Elem", 
#>         "Fontana Unified", "Dinuba Unified", "Tamalpais Union High", 
#>         "Oakland Unified", "Sacramento City Unified", "Old Adobe Union Elem", 
#>         "Capistrano Unified", "Gonzales Unified", "Summerville Union High", 
#>         "Fresno Unified", "Lemon Grove Elementary", "San Ramon Valley Unified", 
#>         "Montebello Unified", "Golden Plains Unified", "San Bernardino City Unif", 
#>         "McFarland Unified", "Eureka Union Elementary", "Lone Pine Unified", 
#>         "Cascade Union Elementary", "Washington Unified", "Evergreen Union Elem", 
#>         "North Monterey Co Unif", "Campbell Union Elem", "Los Angeles Unified", 
#>         "Kerman Unified", "Corona-Norco Unified", "Santa Barbara High", 
#>         "Compton Unified", "Grant Joint Union High", "Long Beach Unified", 
#>         "Norris Elementary", "Lincoln Unified", "Los Angeles Unified", 
#>         "River Delta Joint Unif", "Alvord Unified", "Dos Palos Oro Loma Unif", 
#>         "Long Beach Unified", "Ontario-Montclair Elem", "Escondido Union Elem", 
#>         "San Juan Unified", "San Jose Unified", "Ocean View Elementary", 
#>         "La Canada Unified", "Vista Unified", "Windsor Unified", 
#>         "Compton Unified", "Woodland Joint Unified", "Glendale Unified", 
#>         "Palmdale Elementary", "Ventura Unified", "Los Angeles Unified", 
#>         "Mt. Shasta Union Elem", "Garden Grove Unified", "San Jose Unified", 
#>         "Modesto City High", "Glendale Unified", "Napa Valley Unified", 
#>         "Santa Paula Elementary", "Saddleback Valley Unif", "San Francisco Unified", 
#>         "Golden Plains Unified", "El Dorado Union High", "South San Francisco Unif", 
#>         "Los Angeles Unified", "Antelope Valley High", "Milpitas Unified", 
#>         "West Contra Costa Unified", "Big Pine Unified", "Vista Unified", 
#>         "Sacramento City Unified", "Los Angeles Unified", "San Francisco Unified", 
#>         "Mariposa County Unified", "Compton Unified", "Anderson Valley Unified", 
#>         "Ukiah Unified", "Palm Springs Unified", "Los Angeles Unified", 
#>         "Saddleback Valley Unif", "Poway Unified", "Oakland Unified", 
#>         "La Habra City Elementary", "Simi Valley Unified", "Sunnyvale Elementary", 
#>         "Lincoln Unified", "Simi Valley Unified", "Lake Elsinore Unified", 
#>         "Delano Joint Union High", "Pittsburg Unified", "Temple City Unified", 
#>         "New Haven Unified", "Los Angeles Unified", "Corona-Norco Unified", 
#>         "Gridley Unified", "Hueneme Elementary", "Western Placer Unified"
#>         ), dnum = c(401L, 401L, 541L, 401L, 460L, 689L, 689L, 
#>         41L, 702L, 135L, 590L, 767L, 253L, 507L, 767L, 401L, 
#>         259L, 531L, 316L, 515L, 69L, 656L, 501L, 233L, 238L, 
#>         507L, 162L, 160L, 401L, 351L, 639L, 153L, 395L, 253L, 
#>         541L, 140L, 569L, 324L, 208L, 766L, 439L, 40L, 575L, 
#>         196L, 514L, 806L, 215L, 632L, 215L, 756L, 550L, 226L, 
#>         214L, 401L, 590L, 689L, 632L, 630L, 259L, 465L, 725L, 
#>         284L, 153L, 259L, 541L, 685L, 636L, 473L, 473L, 401L, 
#>         813L, 247L, 653L, 339L, 459L, 185L, 294L, 653L, 751L, 
#>         364L, 497L, 155L, 537L, 390L, 596L, 630L, 639L, 499L, 
#>         621L, 253L, 401L, 602L, 605L, 473L, 797L, 20L, 148L, 
#>         401L, 784L, 419L, 781L, 498L, 148L, 513L, 238L, 182L, 
#>         735L, 507L, 620L, 512L, 108L, 273L, 722L, 253L, 376L, 
#>         650L, 457L, 270L, 627L, 432L, 223L, 394L, 114L, 787L, 
#>         225L, 495L, 105L, 401L, 333L, 158L, 655L, 153L, 275L, 
#>         395L, 492L, 382L, 401L, 602L, 19L, 185L, 395L, 513L, 
#>         216L, 636L, 635L, 509L, 348L, 780L, 819L, 153L, 825L, 
#>         266L, 532L, 774L, 401L, 475L, 259L, 635L, 450L, 266L, 
#>         478L, 662L, 621L, 632L, 270L, 202L, 706L, 401L, 27L, 
#>         448L, 796L, 64L, 780L, 620L, 401L, 632L, 423L, 153L, 
#>         25L, 760L, 531L, 401L, 621L, 575L, 507L, 349L, 689L, 
#>         725L, 382L, 689L, 358L, 176L, 554L, 738L, 484L, 401L, 
#>         158L, 279L, 308L, 802L), cname = c("Los Angeles", "Los Angeles", 
#>         "Los Angeles", "Los Angeles", "Ventura", "Ventura", "Ventura", 
#>         "Kern", "San Diego", "San Diego", "San Bernardino", "Riverside", 
#>         "Fresno", "Alameda", "Riverside", "Los Angeles", "Orange", 
#>         "Riverside", "Orange", "Fresno", "Inyo", "Santa Clara", 
#>         "Santa Clara", "Tulare", "San Bernardino", "Alameda", 
#>         "Los Angeles", "Sonoma", "Los Angeles", "San Diego", 
#>         "Santa Cruz", "Los Angeles", "Los Angeles", "Fresno", 
#>         "Los Angeles", "Fresno", "El Dorado", "Contra Costa", 
#>         "Kern", "Solano", "San Mateo", "Los Angeles", "San Diego", 
#>         "Santa Clara", "Placer", "Los Angeles", "San Joaquin", 
#>         "San Francisco", "San Joaquin", "Orange", "Colusa", "Tulare", 
#>         "Shasta", "Los Angeles", "San Bernardino", "Ventura", 
#>         "San Francisco", "San Diego", "Orange", "San Bernardino", 
#>         "Santa Clara", "Los Angeles", "Los Angeles", "Orange", 
#>         "Los Angeles", "Kern", "Sacramento", "Contra Costa", 
#>         "Contra Costa", "Los Angeles", "Los Angeles", "Santa Clara", 
#>         "Orange", "Fresno", "Monterey", "Merced", "Alameda", 
#>         "Orange", "Tulare", "Kern", "Humboldt", "Kings", "Kern", 
#>         "San Joaquin", "Sonoma", "San Diego", "Santa Cruz", "Marin", 
#>         "Orange", "Fresno", "Los Angeles", "Sacramento", "Riverside", 
#>         "Contra Costa", "Los Angeles", "Amador", "San Bernardino", 
#>         "Los Angeles", "Kern", "San Joaquin", "Contra Costa", 
#>         "Los Angeles", "San Bernardino", "San Bernardino", "San Bernardino", 
#>         "Tulare", "Marin", "Alameda", "Sacramento", "Sonoma", 
#>         "Orange", "Monterey", "Tuolumne", "Fresno", "San Diego", 
#>         "Contra Costa", "Los Angeles", "Fresno", "San Bernardino", 
#>         "Kern", "Placer", "Inyo", "Shasta", "Yolo", "Tehama", 
#>         "Monterey", "Santa Clara", "Los Angeles", "Fresno", "Riverside", 
#>         "Santa Barbara", "Los Angeles", "Sacramento", "Los Angeles", 
#>         "Kern", "San Joaquin", "Los Angeles", "Sacramento", "Riverside", 
#>         "Merced", "Los Angeles", "San Bernardino", "San Diego", 
#>         "Sacramento", "Santa Clara", "Orange", "Los Angeles", 
#>         "San Diego", "Sonoma", "Los Angeles", "Yolo", "Los Angeles", 
#>         "Los Angeles", "Ventura", "Los Angeles", "Siskiyou", 
#>         "Orange", "Santa Clara", "Stanislaus", "Los Angeles", 
#>         "Napa", "Ventura", "Orange", "San Francisco", "Fresno", 
#>         "El Dorado", "San Mateo", "Los Angeles", "Los Angeles", 
#>         "Santa Clara", "Contra Costa", "Inyo", "San Diego", "Sacramento", 
#>         "Los Angeles", "San Francisco", "Mariposa", "Los Angeles", 
#>         "Mendocino", "Mendocino", "Riverside", "Los Angeles", 
#>         "Orange", "San Diego", "Alameda", "Orange", "Ventura", 
#>         "Santa Clara", "San Joaquin", "Ventura", "Riverside", 
#>         "Kern", "Contra Costa", "Los Angeles", "Alameda", "Los Angeles", 
#>         "Riverside", "Butte", "Ventura", "Placer"), cnum = c(18L, 
#>         18L, 18L, 18L, 55L, 55L, 55L, 14L, 36L, 36L, 35L, 32L, 
#>         9L, 1L, 32L, 18L, 29L, 32L, 29L, 9L, 13L, 42L, 42L, 53L, 
#>         35L, 1L, 18L, 48L, 18L, 36L, 43L, 18L, 18L, 9L, 18L, 
#>         9L, 8L, 6L, 14L, 47L, 40L, 18L, 36L, 42L, 30L, 18L, 38L, 
#>         37L, 38L, 29L, 5L, 53L, 44L, 18L, 35L, 55L, 37L, 36L, 
#>         29L, 35L, 42L, 18L, 18L, 29L, 18L, 14L, 33L, 6L, 6L, 
#>         18L, 18L, 42L, 29L, 9L, 26L, 23L, 1L, 29L, 53L, 14L, 
#>         11L, 15L, 14L, 38L, 48L, 36L, 43L, 20L, 29L, 9L, 18L, 
#>         33L, 32L, 6L, 18L, 2L, 35L, 18L, 14L, 38L, 6L, 18L, 35L, 
#>         35L, 35L, 53L, 20L, 1L, 33L, 48L, 29L, 26L, 54L, 9L, 
#>         36L, 6L, 18L, 9L, 35L, 14L, 30L, 13L, 44L, 56L, 51L, 
#>         26L, 42L, 18L, 9L, 32L, 41L, 18L, 33L, 18L, 14L, 38L, 
#>         18L, 33L, 32L, 23L, 18L, 35L, 36L, 33L, 42L, 29L, 18L, 
#>         36L, 48L, 18L, 56L, 18L, 18L, 55L, 18L, 46L, 29L, 42L, 
#>         49L, 18L, 27L, 55L, 29L, 37L, 9L, 8L, 40L, 18L, 18L, 
#>         42L, 6L, 13L, 36L, 33L, 18L, 37L, 21L, 18L, 22L, 22L, 
#>         32L, 18L, 29L, 36L, 1L, 29L, 55L, 42L, 38L, 55L, 32L, 
#>         14L, 6L, 18L, 1L, 18L, 32L, 3L, 55L, 30L), flag = c(NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
#>         NA_integer_, NA_integer_, NA_integer_, NA_integer_), 
#>         pcttest = c(99L, 100L, 99L, 100L, 100L, 100L, 99L, 98L, 
#>         100L, 100L, 99L, 99L, 93L, 95L, 95L, 100L, 98L, 100L, 
#>         95L, 100L, 100L, 98L, 100L, 99L, 99L, 100L, 98L, 98L, 
#>         100L, 99L, 99L, 100L, 100L, 100L, 97L, 100L, 100L, 99L, 
#>         100L, 100L, 100L, 99L, 99L, 100L, 100L, 99L, 99L, 90L, 
#>         100L, 99L, 96L, 98L, 100L, 99L, 100L, 98L, 66L, 99L, 
#>         83L, 98L, 100L, 100L, 88L, 99L, 92L, 100L, 99L, 98L, 
#>         100L, 98L, 99L, 99L, 100L, 100L, 100L, 89L, 100L, 100L, 
#>         100L, 97L, 97L, 98L, 99L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 99L, 100L, 100L, 99L, 99L, 99L, 97L, 99L, 98L, 97L, 
#>         100L, 99L, 100L, 100L, 96L, 99L, 99L, 97L, 96L, 100L, 
#>         98L, 90L, 100L, 97L, 98L, 100L, 98L, 99L, 100L, 99L, 
#>         99L, 99L, 99L, 100L, 99L, 97L, 100L, 98L, 98L, 100L, 
#>         99L, 100L, 100L, 97L, 99L, 99L, 100L, 95L, 100L, 97L, 
#>         100L, 99L, 98L, 100L, 96L, 98L, 100L, 97L, 100L, 100L, 
#>         100L, 99L, 100L, 99L, 99L, 98L, 100L, 99L, 98L, 97L, 
#>         100L, 98L, 99L, 99L, 86L, 100L, 96L, 90L, 96L, 93L, 99L, 
#>         100L, 98L, 98L, 90L, 100L, 89L, 99L, 79L, 97L, 99L, 100L, 
#>         100L, 100L, 99L, 100L, 100L, 100L, 100L, 100L, 99L, 99L, 
#>         99L, 98L, 100L, 99L, 95L, 100L, 99L, 99L, 100L), api00 = c(840L, 
#>         516L, 531L, 501L, 720L, 805L, 778L, 731L, 592L, 669L, 
#>         496L, 505L, 467L, 409L, 522L, 497L, 638L, 609L, 867L, 
#>         534L, 705L, 685L, 761L, 455L, 509L, 771L, 681L, 666L, 
#>         751L, 647L, 745L, 474L, 832L, 559L, 582L, 765L, 694L, 
#>         676L, 641L, 744L, 870L, 510L, 865L, 527L, 782L, 745L, 
#>         681L, 500L, 679L, 892L, 552L, 619L, 616L, 703L, 509L, 
#>         724L, 559L, 650L, 806L, 759L, 740L, 642L, 565L, 565L, 
#>         525L, 726L, 863L, 765L, 893L, 443L, 774L, 398L, 539L, 
#>         668L, 776L, 580L, 581L, 503L, 724L, 476L, 712L, 529L, 
#>         870L, 746L, 836L, 680L, 756L, 878L, 784L, 423L, 588L, 
#>         606L, 632L, 753L, 651L, 743L, 553L, 593L, 528L, 676L, 
#>         861L, 678L, 518L, 535L, 588L, 597L, 770L, 884L, 667L, 
#>         819L, 721L, 534L, 713L, 542L, 648L, 816L, 509L, 493L, 
#>         551L, 485L, 893L, 641L, 709L, 596L, 765L, 609L, 671L, 
#>         720L, 669L, 667L, 743L, 403L, 610L, 650L, 836L, 695L, 
#>         542L, 618L, 578L, 551L, 814L, 467L, 777L, 717L, 610L, 
#>         719L, 868L, 678L, 617L, 418L, 669L, 856L, 723L, 773L, 
#>         609L, 780L, 693L, 635L, 712L, 676L, 660L, 668L, 784L, 
#>         472L, 421L, 764L, 646L, 585L, 556L, 733L, 657L, 667L, 
#>         606L, 600L, 522L, 599L, 706L, 409L, 631L, 635L, 601L, 
#>         477L, 845L, 819L, 631L, 696L, 714L, 788L, 667L, 710L, 
#>         568L, 453L, 546L, 847L, 679L, 477L, 646L, 627L, 521L, 
#>         624L), api99 = c(816L, 476L, 544L, 457L, 659L, 780L, 
#>         787L, 731L, 508L, 658L, 479L, 499L, 460L, 406L, 532L, 
#>         440L, 572L, 564L, 816L, 478L, 685L, 657L, 739L, 403L, 
#>         504L, 755L, 673L, 690L, 687L, 642L, 707L, 449L, 835L, 
#>         525L, 589L, 740L, 679L, 641L, 620L, 701L, 863L, 485L, 
#>         858L, 523L, 780L, 691L, 665L, 491L, 677L, 854L, 475L, 
#>         559L, 575L, 652L, 470L, 670L, 554L, 621L, 803L, 726L, 
#>         703L, 579L, 526L, 556L, 495L, 689L, 848L, 703L, 845L, 
#>         436L, 787L, 401L, 500L, 603L, 728L, 554L, 563L, 442L, 
#>         673L, 409L, 694L, 478L, 852L, 723L, 798L, 657L, 766L, 
#>         874L, 760L, 403L, 538L, 566L, 568L, 696L, 595L, 750L, 
#>         499L, 595L, 524L, 678L, 856L, 669L, 535L, 495L, 533L, 
#>         527L, 817L, 867L, 633L, 801L, 737L, 529L, 631L, 524L, 
#>         621L, 812L, 495L, 420L, 491L, 430L, 890L, 660L, 584L, 
#>         583L, 713L, 524L, 641L, 637L, 536L, 698L, 739L, 384L, 
#>         634L, 631L, 772L, 651L, 497L, 570L, 535L, 471L, 783L, 
#>         455L, 750L, 694L, 592L, 671L, 858L, 680L, 562L, 383L, 
#>         650L, 854L, 671L, 732L, 541L, 774L, 688L, 578L, 709L, 
#>         616L, 622L, 575L, 744L, 497L, 398L, 760L, 636L, 606L, 
#>         545L, 703L, 627L, 607L, 575L, 580L, 509L, 574L, 726L, 
#>         410L, 639L, 625L, 574L, 484L, 799L, 790L, 646L, 642L, 
#>         672L, 747L, 601L, 706L, 504L, 447L, 524L, 814L, 664L, 
#>         424L, 620L, 597L, 500L, 609L), target = c(NA, 16L, 13L, 
#>         17L, 7L, 1L, 1L, 3L, 15L, 7L, 16L, 15L, 17L, 20L, 13L, 
#>         18L, 11L, 12L, NA, 16L, 6L, 7L, 3L, 20L, 15L, 2L, 6L, 
#>         6L, 6L, 8L, 5L, 18L, NA, 14L, 11L, 3L, 6L, 8L, 9L, 5L, 
#>         NA, 16L, NA, 14L, 1L, 5L, 7L, 15L, 6L, NA, 16L, 12L, 
#>         11L, 7L, 17L, 7L, 12L, 9L, NA, 4L, 5L, 11L, 14L, 12L, 
#>         15L, 6L, NA, 5L, NA, 18L, 1L, 20L, 15L, 10L, 4L, 12L, 
#>         12L, 18L, 6L, 20L, 5L, 16L, NA, 4L, 1L, 7L, 2L, NA, 2L, 
#>         20L, 13L, 12L, 12L, 5L, 10L, 3L, 15L, 10L, 14L, 6L, NA, 
#>         7L, 13L, 15L, 13L, 14L, NA, NA, 8L, NA, 3L, 14L, 8L, 
#>         14L, 9L, NA, 15L, 19L, 15L, 19L, NA, 7L, 11L, 11L, 4L, 
#>         14L, 8L, 8L, 13L, 5L, 3L, 21L, 8L, 8L, 1L, 7L, 15L, 12L, 
#>         13L, 16L, 1L, 17L, 3L, 5L, 10L, 6L, NA, 6L, 12L, 21L, 
#>         8L, NA, 6L, 3L, 13L, 1L, 6L, 11L, 5L, 9L, 9L, 11L, 3L, 
#>         15L, 20L, 2L, 8L, 10L, 13L, 5L, 9L, 10L, 11L, 11L, 15L, 
#>         11L, 4L, 20L, 8L, 9L, 11L, 16L, 1L, 1L, 8L, 8L, 6L, 3L, 
#>         10L, 5L, 15L, 18L, 14L, NA, 7L, 19L, 9L, 10L, 15L, 10L
#>         ), growth = c(24L, 40L, -13L, 44L, 61L, 25L, -9L, 0L, 
#>         84L, 11L, 17L, 6L, 7L, 3L, -10L, 57L, 66L, 45L, 51L, 
#>         56L, 20L, 28L, 22L, 52L, 5L, 16L, 8L, -24L, 64L, 5L, 
#>         38L, 25L, -3L, 34L, -7L, 25L, 15L, 35L, 21L, 43L, 7L, 
#>         25L, 7L, 4L, 2L, 54L, 16L, 9L, 2L, 38L, 77L, 60L, 41L, 
#>         51L, 39L, 54L, 5L, 29L, 3L, 33L, 37L, 63L, 39L, 9L, 30L, 
#>         37L, 15L, 62L, 48L, 7L, -13L, -3L, 39L, 65L, 48L, 26L, 
#>         18L, 61L, 51L, 67L, 18L, 51L, 18L, 23L, 38L, 23L, -10L, 
#>         4L, 24L, 20L, 50L, 40L, 64L, 57L, 56L, -7L, 54L, -2L, 
#>         4L, -2L, 5L, 9L, -17L, 40L, 55L, 70L, -47L, 17L, 34L, 
#>         18L, -16L, 5L, 82L, 18L, 27L, 4L, 14L, 73L, 60L, 55L, 
#>         3L, -19L, 125L, 13L, 52L, 85L, 30L, 83L, 133L, -31L, 
#>         4L, 19L, -24L, 19L, 64L, 44L, 45L, 48L, 43L, 80L, 31L, 
#>         12L, 27L, 23L, 18L, 48L, 10L, -2L, 55L, 35L, 19L, 2L, 
#>         52L, 41L, 68L, 6L, 5L, 57L, 3L, 60L, 38L, 93L, 40L, -25L, 
#>         23L, 4L, 10L, -21L, 11L, 30L, 30L, 60L, 31L, 20L, 13L, 
#>         25L, -20L, -1L, -8L, 10L, 27L, -7L, 46L, 29L, -15L, 54L, 
#>         42L, 41L, 66L, 4L, 64L, 6L, 22L, 33L, 15L, 53L, 26L, 
#>         30L, 21L, 15L), sch.wide = c(2L, 2L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
#>         1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), comp.imp = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), both = c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
#>         2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
#>         2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
#>         1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
#>         2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), awards = c(1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 
#>         1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
#>         2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
#>         2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
#>         2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 
#>         1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
#>         2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
#>         1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
#>         1L, 2L, 2L), meals = c(33L, 98L, 64L, 83L, 26L, 7L, 9L, 
#>         45L, 75L, 47L, 69L, 60L, 66L, 54L, 35L, 95L, 75L, 47L, 
#>         6L, 93L, 38L, 32L, 24L, 89L, 44L, 15L, 18L, 9L, 35L, 
#>         60L, 13L, 98L, 25L, 78L, 63L, 54L, 21L, 24L, 23L, 34L, 
#>         2L, 31L, 4L, 37L, 14L, 31L, 20L, 59L, 31L, 6L, 66L, 58L, 
#>         71L, 67L, 75L, 15L, 78L, 64L, 40L, 36L, 42L, 69L, 99L, 
#>         75L, 51L, 45L, 14L, 13L, 7L, 79L, 4L, 83L, 92L, 51L, 
#>         25L, 74L, 52L, 95L, 51L, 96L, 3L, 74L, 7L, 20L, 24L, 
#>         50L, 20L, 4L, 8L, 100L, 61L, 48L, 51L, 17L, 56L, 12L, 
#>         80L, 72L, 77L, 18L, 10L, 18L, 39L, 64L, 54L, 76L, 1L, 
#>         6L, 45L, 11L, 9L, 72L, 19L, 100L, 47L, 1L, 72L, 97L, 
#>         67L, 85L, 1L, 6L, 77L, 83L, 52L, 42L, 38L, 39L, 100L, 
#>         19L, 19L, 99L, 34L, 78L, 10L, 36L, 98L, 23L, 69L, 66L, 
#>         28L, 73L, 25L, 29L, 31L, 33L, 0L, 21L, 49L, 100L, 24L, 
#>         4L, 46L, 24L, 82L, 29L, 46L, 44L, 5L, 76L, 36L, 43L, 
#>         5L, 20L, 98L, 1L, 20L, 23L, 33L, 33L, 24L, 41L, 57L, 
#>         36L, 91L, 21L, 13L, 98L, 67L, 23L, 38L, 86L, 14L, 13L, 
#>         74L, 72L, 45L, 39L, 38L, 8L, 69L, 47L, 38L, 34L, 36L, 
#>         98L, 36L, 56L, 88L, 28L), ell = c(25L, 77L, 23L, 63L, 
#>         17L, 0L, 2L, 2L, 58L, 23L, 25L, 10L, 43L, 26L, 7L, 66L, 
#>         73L, 20L, 16L, 39L, 6L, 18L, 6L, 59L, 18L, 3L, 3L, 5L, 
#>         7L, 23L, 1L, 17L, 10L, 27L, 22L, 18L, 0L, 14L, 0L, 2L, 
#>         2L, 30L, 7L, 37L, 0L, 3L, 4L, 46L, 13L, 3L, 42L, 20L, 
#>         11L, 0L, 32L, 8L, 27L, 27L, 43L, 3L, 37L, 22L, 35L, 62L, 
#>         17L, 8L, 1L, 3L, 4L, 37L, 4L, 70L, 80L, 15L, 10L, 22L, 
#>         33L, 73L, 3L, 38L, 0L, 9L, 2L, 11L, 3L, 5L, 0L, 2L, 7L, 
#>         62L, 1L, 28L, 18L, 5L, 25L, 0L, 33L, 21L, 32L, 1L, 7L, 
#>         13L, 22L, 46L, 24L, 18L, 1L, 8L, 16L, 10L, 7L, 50L, 0L, 
#>         40L, 14L, 1L, 37L, 84L, 17L, 33L, 1L, 6L, 2L, 32L, 1L, 
#>         28L, 22L, 20L, 50L, 6L, 17L, 5L, 11L, 33L, 1L, 14L, 66L, 
#>         17L, 41L, 12L, 9L, 54L, 8L, 16L, 24L, 17L, 2L, 5L, 50L, 
#>         24L, 18L, 19L, 12L, 6L, 33L, 0L, 33L, 28L, 4L, 51L, 8L, 
#>         5L, 3L, 25L, 69L, 0L, 10L, 16L, 6L, 29L, 10L, 7L, 15L, 
#>         21L, 34L, 18L, 0L, 49L, 59L, 10L, 0L, 34L, 4L, 6L, 45L, 
#>         50L, 21L, 22L, 14L, 3L, 34L, 37L, 8L, 12L, 39L, 56L, 
#>         14L, 6L, 69L, 4L), yr.rnd = c(1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
#>         1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
#>         1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
#>         1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), mobility = c(11L, 
#>         26L, 17L, 13L, 31L, 12L, 10L, 15L, 23L, 19L, 26L, 22L, 
#>         16L, 44L, 18L, 18L, 12L, 8L, 17L, 20L, 8L, 6L, 15L, 10L, 
#>         13L, 11L, 12L, 9L, 9L, 18L, 6L, 31L, 16L, 20L, 13L, 23L, 
#>         17L, 17L, 9L, 18L, 8L, 12L, 17L, 17L, 15L, 22L, 4L, 13L, 
#>         9L, 13L, 15L, 9L, 24L, 15L, 32L, 10L, 12L, 22L, 15L, 
#>         38L, 21L, 21L, 18L, 11L, 12L, 38L, 18L, 16L, 16L, 16L, 
#>         9L, 17L, 27L, 9L, 12L, 12L, 8L, 17L, 16L, 8L, 7L, 5L, 
#>         20L, 26L, 16L, 14L, 14L, 3L, 8L, 22L, 20L, 7L, 19L, 8L, 
#>         19L, 8L, 25L, 12L, 4L, 14L, 12L, 20L, 9L, 26L, 17L, 17L, 
#>         6L, 8L, 22L, 12L, 6L, 17L, 6L, 21L, 16L, 6L, 16L, 6L, 
#>         46L, 7L, 8L, 8L, 20L, 23L, 13L, 15L, 18L, 29L, 17L, 55L, 
#>         6L, 19L, 19L, 21L, 17L, 13L, 23L, 7L, 38L, 12L, 14L, 
#>         13L, 13L, 21L, 10L, 16L, 4L, 10L, 9L, 72L, 10L, 17L, 
#>         99L, 12L, 41L, 16L, 12L, 19L, 10L, 9L, 15L, 13L, 12L, 
#>         15L, 23L, 4L, 8L, 12L, 14L, 11L, 22L, 11L, 15L, 15L, 
#>         9L, 1L, 8L, 12L, 12L, 96L, 18L, 6L, 12L, 10L, 11L, 26L, 
#>         13L, 11L, 20L, 11L, 25L, 7L, 22L, 13L, 13L, 22L, 12L, 
#>         10L, 6L, 6L), acs.k3 = c(20L, 19L, 20L, 17L, 20L, 19L, 
#>         19L, 19L, 20L, 18L, NA, NA, NA, NA, NA, 19L, 22L, NA, 
#>         NA, 18L, 20L, NA, 19L, NA, NA, 20L, NA, NA, 16L, NA, 
#>         NA, 20L, 20L, 18L, NA, 21L, NA, NA, NA, 19L, NA, NA, 
#>         19L, NA, 16L, 18L, NA, NA, NA, 20L, NA, 19L, 20L, 18L, 
#>         19L, NA, NA, NA, 20L, 18L, 19L, 21L, 20L, NA, NA, 19L, 
#>         20L, 21L, 20L, NA, NA, 20L, 20L, NA, 19L, 19L, NA, 22L, 
#>         18L, NA, NA, NA, 19L, 20L, 18L, NA, 19L, NA, NA, 19L, 
#>         16L, 18L, 19L, NA, 20L, NA, 20L, NA, NA, 18L, 19L, NA, 
#>         NA, NA, 19L, 20L, NA, 19L, NA, 19L, NA, NA, NA, 19L, 
#>         NA, NA, 20L, 17L, NA, NA, NA, NA, 18L, 20L, NA, 20L, 
#>         20L, 18L, 18L, NA, NA, NA, NA, 19L, 18L, NA, 19L, NA, 
#>         20L, NA, 20L, NA, 20L, NA, NA, 19L, NA, NA, 20L, NA, 
#>         NA, 18L, 18L, NA, 19L, NA, NA, NA, NA, 18L, NA, 19L, 
#>         NA, NA, 20L, NA, NA, NA, NA, NA, NA, 17L, NA, NA, NA, 
#>         NA, NA, NA, 19L, NA, NA, NA, 19L, NA, 19L, 18L, 18L, 
#>         19L, 24L, NA, 20L, NA, NA, 20L, 20L, 19L, NA, NA, 20L, 
#>         NA), acs.46 = c(29L, 28L, 30L, 30L, 30L, 29L, 31L, 31L, 
#>         32L, 29L, 32L, 32L, NA, 32L, NA, 30L, 30L, 32L, NA, 23L, 
#>         31L, 33L, 32L, NA, NA, 28L, NA, NA, 24L, 31L, NA, 31L, 
#>         34L, 27L, 34L, 33L, 24L, 25L, NA, 28L, 26L, NA, 27L, 
#>         NA, 22L, 30L, NA, 26L, 30L, 26L, NA, 28L, 29L, 29L, 34L, 
#>         NA, 23L, 26L, 30L, 22L, 29L, 32L, 29L, NA, NA, 30L, 46L, 
#>         30L, 30L, 28L, NA, 29L, 30L, 28L, 22L, NA, NA, 31L, 29L, 
#>         27L, NA, 28L, 29L, 30L, 28L, 25L, 29L, 28L, NA, 28L, 
#>         26L, 26L, 31L, 30L, 31L, NA, 30L, NA, NA, 30L, 26L, 38L, 
#>         NA, 30L, 30L, 27L, NA, 29L, NA, 28L, NA, 28L, NA, 33L, 
#>         28L, NA, 30L, 25L, 30L, 21L, 25L, NA, 24L, 31L, 25L, 
#>         28L, 28L, 28L, 27L, NA, NA, 34L, NA, 32L, 27L, NA, 28L, 
#>         NA, 31L, 27L, 33L, NA, 31L, NA, NA, 30L, NA, NA, 23L, 
#>         NA, NA, 30L, 30L, 32L, 27L, 28L, NA, 28L, NA, 29L, NA, 
#>         26L, NA, NA, 23L, NA, NA, NA, NA, NA, NA, 20L, 30L, NA, 
#>         28L, NA, NA, NA, 23L, NA, 33L, NA, 30L, 29L, 30L, NA, 
#>         28L, 26L, 24L, NA, 28L, NA, NA, 31L, 31L, 28L, NA, 36L, 
#>         32L, NA), acs.core = c(NA, NA, NA, NA, NA, NA, NA, NA, 
#>         NA, NA, 30L, 32L, 27L, 29L, 28L, NA, NA, 34L, 30L, 21L, 
#>         NA, 28L, NA, 26L, 32L, NA, 28L, 27L, NA, 30L, 28L, NA, 
#>         NA, NA, 29L, NA, 29L, 24L, 25L, NA, 27L, 27L, NA, 27L, 
#>         NA, NA, 28L, 23L, 28L, NA, 27L, NA, NA, NA, NA, 31L, 
#>         23L, 29L, NA, NA, NA, 30L, NA, 27L, 26L, NA, NA, NA, 
#>         NA, 24L, 27L, NA, NA, 26L, NA, NA, 28L, NA, NA, NA, 22L, 
#>         NA, NA, NA, NA, 25L, NA, 28L, 28L, NA, NA, NA, NA, 29L, 
#>         NA, 25L, NA, 25L, 27L, 29L, NA, NA, 30L, 27L, NA, NA, 
#>         23L, NA, 27L, NA, 29L, 27L, 24L, NA, 29L, 29L, NA, 25L, 
#>         31L, 25L, NA, 21L, NA, NA, 23L, NA, NA, NA, NA, 29L, 
#>         28L, 35L, 27L, NA, NA, 31L, NA, 20L, NA, 22L, NA, 29L, 
#>         NA, 35L, 26L, NA, 31L, 29L, 25L, 32L, 28L, NA, NA, 30L, 
#>         NA, 28L, 29L, 26L, 33L, NA, 27L, NA, 28L, 15L, 28L, 27L, 
#>         27L, 26L, 28L, 30L, 30L, 19L, 31L, 27L, 24L, 26L, 29L, 
#>         29L, NA, 25L, 32L, 27L, NA, 29L, NA, NA, NA, NA, NA, 
#>         28L, NA, 28L, 26L, NA, NA, NA, 29L, 26L, NA, 24L), pct.resp = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 87L, 67L, 50L, 
#>         70L, 71L, 2L, 91L, 0L, 100L, 90L, 83L, 86L, 98L, 5L, 
#>         72L, 100L, 84L, 80L, 100L, 96L, 77L, 90L, 57L, 0L, 94L, 
#>         91L, 89L, 98L, 100L, 94L, 92L, 100L, 74L, 72L, 84L, 94L, 
#>         66L, 97L, 82L, 100L, 87L, 77L, 71L, 5L, 3L, 70L, 86L, 
#>         50L, 96L, 99L, 90L, 42L, 93L, 1L, 97L, 90L, 47L, 84L, 
#>         55L, 85L, 51L, 62L, 0L, 62L, 96L, 54L, 62L, 95L, 99L, 
#>         95L, 93L, 100L, 91L, 96L, 73L, 84L, 98L, 91L, 64L, 24L, 
#>         38L, 85L, 94L, 99L, 96L, 89L, 72L, 77L, 100L, 96L, 89L, 
#>         77L, 97L, 6L, 85L, 56L, 94L, 79L, 100L, 88L, 76L, 94L, 
#>         88L, 99L, 69L, 77L, 86L, 73L, 55L, 100L, 97L, 91L, 98L, 
#>         87L, 61L, 95L, 85L, 95L, 92L, 1L, 49L, 82L, 80L, 95L, 
#>         99L, 12L, 58L, 96L, 82L, 78L, 95L, 2L, 76L, 91L, 97L, 
#>         93L, 96L, 61L, 67L, 82L, 88L, 73L, 92L, 88L, 95L, 74L, 
#>         87L, 96L, 88L, 96L, 93L, 89L, 28L, 91L, 96L, 91L, 63L, 
#>         85L, 98L, 91L, 66L, 89L, 77L, 43L, 86L, 82L, 68L, 87L, 
#>         86L, 87L, 84L, 82L, 99L, 59L, 98L, 1L, 88L, 97L, 0L, 
#>         99L, 74L, 8L, 100L, 88L, 5L, 96L, 93L, 97L, 93L), not.hsg = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 31L, 49L, 12L, 
#>         20L, 45L, 9L, 22L, 0L, 60L, 5L, 10L, 2L, 58L, 28L, 1L, 
#>         6L, 5L, 2L, 20L, 1L, 21L, 5L, 20L, 0L, 17L, 4L, 9L, 8L, 
#>         11L, 2L, 36L, 1L, 42L, 3L, 5L, 15L, 26L, 17L, 0L, 53L, 
#>         31L, 11L, 1L, 28L, 11L, 30L, 21L, 6L, 2L, 11L, 13L, 31L, 
#>         55L, 17L, 9L, 0L, 2L, 0L, 32L, 2L, 56L, 56L, 0L, 34L, 
#>         30L, 15L, 51L, 18L, 64L, 6L, 26L, 6L, 6L, 3L, 3L, 1L, 
#>         2L, 4L, 49L, 0L, 14L, 21L, 3L, 17L, 2L, 35L, 36L, 40L, 
#>         4L, 5L, 10L, 27L, 37L, 28L, 18L, 2L, 2L, 11L, 10L, 6L, 
#>         37L, 2L, 43L, 12L, 1L, 22L, 75L, 22L, 48L, 0L, 13L, 18L, 
#>         26L, 7L, 29L, 6L, 12L, 47L, 8L, 20L, 25L, 8L, 19L, 1L, 
#>         13L, 21L, 19L, 34L, 36L, 3L, 51L, 0L, 5L, 27L, 13L, 0L, 
#>         12L, 25L, 47L, 10L, 0L, 10L, 7L, 15L, 4L, 16L, 33L, 6L, 
#>         24L, 22L, 10L, 3L, 19L, 73L, 1L, 14L, 20L, 16L, 12L, 
#>         6L, 2L, 27L, 19L, 36L, 21L, 3L, 49L, 49L, 15L, 20L, 61L, 
#>         6L, 3L, 22L, 37L, 50L, 10L, 10L, 0L, 22L, 50L, 20L, 9L, 
#>         7L, 10L, 18L, 25L, 41L, 10L), hsg = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 34L, 20L, 33L, 20L, 36L, 
#>         64L, 20L, 0L, 24L, 29L, 21L, 21L, 23L, 40L, 8L, 19L, 
#>         21L, 19L, 33L, 11L, 53L, 8L, 30L, 100L, 40L, 36L, 43L, 
#>         24L, 51L, 3L, 25L, 4L, 24L, 20L, 15L, 22L, 30L, 22L, 
#>         5L, 26L, 21L, 24L, 15L, 55L, 27L, 31L, 19L, 22L, 27L, 
#>         25L, 33L, 40L, 23L, 0L, 32L, 9L, 8L, 3L, 29L, 12L, 26L, 
#>         27L, 100L, 11L, 25L, 25L, 30L, 44L, 19L, 21L, 35L, 26L, 
#>         12L, 35L, 11L, 17L, 4L, 9L, 28L, 10L, 18L, 27L, 20L, 
#>         31L, 16L, 47L, 21L, 34L, 40L, 3L, 19L, 27L, 35L, 36L, 
#>         51L, 4L, 5L, 19L, 12L, 8L, 25L, 20L, 35L, 31L, 3L, 33L, 
#>         15L, 23L, 29L, 2L, 30L, 41L, 27L, 29L, 34L, 25L, 16L, 
#>         25L, 14L, 0L, 27L, 20L, 37L, 15L, 19L, 53L, 16L, 36L, 
#>         30L, 9L, 27L, 20L, 15L, 20L, 30L, 2L, 14L, 13L, 24L, 
#>         38L, 10L, 25L, 9L, 46L, 12L, 23L, 21L, 15L, 28L, 19L, 
#>         27L, 10L, 35L, 17L, 5L, 23L, 15L, 24L, 22L, 24L, 22L, 
#>         22L, 22L, 30L, 26L, 15L, 20L, 18L, 19L, 21L, 24L, 25L, 
#>         7L, 23L, 36L, 50L, 20L, 11L, 0L, 37L, 21L, 28L, 21L, 
#>         17L, 48L, 20L, 34L, 58L, 25L), some.col = c(0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L, 15L, 23L, 31L, 11L, 
#>         18L, 32L, 0L, 13L, 27L, 31L, 46L, 14L, 18L, 22L, 30L, 
#>         31L, 24L, 30L, 30L, 21L, 28L, 27L, 0L, 19L, 37L, 28L, 
#>         35L, 27L, 7L, 26L, 18L, 17L, 24L, 47L, 29L, 20L, 34L, 
#>         26L, 12L, 27L, 39L, 39L, 10L, 22L, 17L, 28L, 29L, 40L, 
#>         26L, 31L, 11L, 14L, 17L, 33L, 24L, 21L, 14L, 15L, 28L, 
#>         8L, 12L, 0L, 45L, 32L, 31L, 16L, 26L, 14L, 29L, 25L, 
#>         23L, 35L, 30L, 28L, 32L, 23L, 22L, 13L, 36L, 38L, 33L, 
#>         34L, 37L, 36L, 13L, 15L, 16L, 32L, 18L, 37L, 25L, 18L, 
#>         20L, 21L, 11L, 13L, 31L, 29L, 23L, 22L, 40L, 18L, 39L, 
#>         12L, 19L, 6L, 31L, 10L, 14L, 25L, 29L, 33L, 40L, 23L, 
#>         35L, 25L, 17L, 30L, 0L, 20L, 33L, 26L, 37L, 34L, 6L, 
#>         30L, 22L, 24L, 29L, 14L, 40L, 23L, 22L, 20L, 6L, 31L, 
#>         28L, 14L, 17L, 25L, 37L, 32L, 22L, 35L, 31L, 19L, 31L, 
#>         29L, 26L, 43L, 24L, 19L, 7L, 23L, 25L, 22L, 34L, 26L, 
#>         28L, 38L, 28L, 26L, 16L, 20L, 40L, 15L, 13L, 34L, 33L, 
#>         8L, 27L, 29L, 32L, 21L, 0L, 28L, 32L, 50L, 25L, 14L, 
#>         20L, 20L, 33L, 10L, 29L, 20L, 0L, 34L), col.grad = c(0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 10L, 12L, 29L, 
#>         23L, 8L, 9L, 16L, 100L, 2L, 28L, 28L, 26L, 3L, 13L, 27L, 
#>         30L, 34L, 44L, 13L, 42L, 5L, 29L, 21L, 0L, 20L, 19L, 
#>         16L, 28L, 10L, 35L, 10L, 42L, 14L, 42L, 20L, 27L, 21L, 
#>         19L, 35L, 8L, 13L, 22L, 33L, 7L, 31L, 19L, 22L, 39L, 
#>         24L, 22L, 17L, 15L, 7L, 67L, 19L, 39L, 39L, 39L, 23L, 
#>         41L, 5L, 4L, 0L, 10L, 10L, 22L, 3L, 9L, 2L, 33L, 11L, 
#>         34L, 28L, 25L, 40L, 41L, 42L, 45L, 8L, 48L, 21L, 12L, 
#>         31L, 12L, 33L, 5L, 22L, 8L, 18L, 35L, 25L, 17L, 9L, 16L, 
#>         6L, 38L, 25L, 30L, 32L, 41L, 13L, 30L, 4L, 15L, 44L, 
#>         24L, 2L, 18L, 12L, 43L, 30L, 11L, 11L, 20L, 10L, 22L, 
#>         35L, 8L, 36L, 40L, 25L, 33L, 11L, 32L, 23L, 19L, 30L, 
#>         6L, 7L, 36L, 8L, 10L, 37L, 24L, 27L, 36L, 31L, 19L, 13L, 
#>         28L, 40L, 18L, 20L, 15L, 36L, 25L, 21L, 32L, 10L, 21L, 
#>         12L, 43L, 19L, 2L, 44L, 31L, 30L, 21L, 28L, 34L, 32L, 
#>         18L, 25L, 16L, 29L, 27L, 14L, 13L, 16L, 21L, 5L, 35L, 
#>         36L, 16L, 3L, 0L, 35L, 23L, 0L, 11L, 14L, 31L, 27L, 33L, 
#>         33L, 25L, 16L, 0L, 25L), grad.sch = c(0L, 0L, 0L, 0L, 
#>         0L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 4L, 3L, 6L, 0L, 0L, 11L, 
#>         0L, 2L, 11L, 10L, 5L, 1L, 1L, 43L, 16L, 8L, 11L, 4L, 
#>         17L, 1L, 30L, 2L, 0L, 3L, 4L, 4L, 4L, 1L, 54L, 3L, 36L, 
#>         2L, 11L, 13L, 8L, 3L, 9L, 33L, 2L, 8L, 5L, 12L, 0L, 9L, 
#>         4L, 11L, 4L, 7L, 16L, 6L, 3L, 1L, 0L, 7L, 28L, 30L, 43L, 
#>         2L, 16L, 4L, 1L, 0L, 0L, 3L, 7L, 0L, 3L, 1L, 11L, 3L, 
#>         11L, 19L, 7L, 17L, 10L, 30L, 20L, 1L, 6L, 9L, 7L, 13L, 
#>         3L, 12L, 1L, 6L, 2L, 6L, 39L, 9L, 3L, 2L, 0L, 3L, 45L, 
#>         55L, 10L, 17L, 22L, 2L, 8L, 0L, 4L, 41L, 3L, 1L, 7L, 
#>         1L, 41L, 2L, 2L, 2L, 5L, 4L, 12L, 12L, 4L, 12L, 40L, 
#>         3L, 5L, 8L, 15L, 11L, 2L, 5L, 2L, 3L, 23L, 1L, 30L, 20L, 
#>         7L, 10L, 55L, 13L, 16L, 2L, 7L, 24L, 10L, 33L, 2L, 14L, 
#>         5L, 5L, 15L, 9L, 11L, 9L, 21L, 8L, 1L, 28L, 7L, 14L, 
#>         5L, 12L, 8L, 5L, 6L, 8L, 2L, 4L, 14L, 1L, 7L, 16L, 6L, 
#>         1L, 9L, 25L, 7L, 2L, 0L, 7L, 24L, 50L, 4L, 1L, 2L, 23L, 
#>         10L, 0L, 9L, 4L, 0L, 5L), avg.ed = c(3.3199999332428, 
#>         1.66999995708466, 2.33999991416931, 1.86000001430511, 
#>         3.17000007629395, 3.64000010490417, 3.54999995231628, 
#>         3.09999990463257, 2.17000007629395, 2.8199999332428, 
#>         2.21000003814697, 2.22000002861023, 2.00999999046326, 
#>         2.78999996185303, 2.73000001907349, 1.82000005245209, 
#>         2.26999998092651, 2.75, 4, 1.61000001430511, 3.10999989509583, 
#>         3.05999994277954, 3.13000011444092, 1.67999994754791, 
#>         2.19000005722046, 4.03000020980835, 3.30999994277954, 
#>         3.20000004768372, 3.41000008583069, 2.48000001907349, 
#>         3.63000011444092, 2.11999988555908, 3.71000003814697, 
#>         2.54999995231628, 2, 2.50999999046326, 2.83999991416931, 
#>         2.60999989509583, 2.97000002861023, 2.39000010490417, 
#>         4.36999988555908, 2.19000005722046, 4.09000015258789, 
#>         2.10999989509583, 3.36999988555908, 3.19000005722046, 
#>         2.90000009536743, 2.45000004768372, 2.8199999332428, 
#>         3.96000003814697, 1.78999996185303, 2.47000002861023, 
#>         2.85999989509583, 3.41000008583069, 1.97000002861023, 
#>         3, 2.34999990463257, 2.82999992370605, 3.14000010490417, 
#>         3.08999991416931, 3.07999992370605, 2.70000004768372, 
#>         2.20000004768372, 1.76999998092651, 3.32999992370605, 
#>         2.82999992370605, 3.84999990463257, 3.88000011444092, 
#>         4.21999979019165, 2.34999990463257, 3.5699999332428, 
#>         1.75999999046326, 1.67999994754791, 2, 2.3199999332428, 
#>         2.29999995231628, 2.8199999332428, 1.73000001907349, 
#>         2.35999989509583, 1.57000005245209, 3.21000003814697, 
#>         2.30999994277954, 3.1800000667572, 3.4300000667572, 2.97000002861023, 
#>         3.55999994277954, 3.4300000667572, 3.95000004768372, 
#>         3.67000007629395, 1.8400000333786, 3.49000000953674, 
#>         2.9300000667572, 2.5699999332428, 3.30999994277954, 2.53999996185303, 
#>         3.38000011444092, 1.88999998569489, 2.41000008583069, 
#>         1.96000003814697, 2.82999992370605, 3.99000000953674, 
#>         3.03999996185303, 2.42000007629395, 2.04999995231628, 
#>         2.24000000953674, 2.24000000953674, 4.19999980926514, 
#>         4.26000022888184, 3.09999990463257, 3.34999990463257, 
#>         3.64000010490417, 2.19000005722046, 3.22000002861023, 
#>         1.83000004291534, 2.67000007629395, 4.21000003814697, 
#>         2.52999997138977, 1.37999999523163, 2.66000008583069, 
#>         1.87000000476837, 4.23000001907349, 2.76999998092651, 
#>         2.36999988555908, 2.35999989509583, 2.86999988555908, 
#>         2.26999998092651, 3.0699999332428, 3.20000004768372, 
#>         1.96000003814697, 3.29999995231628, 3.79999995231628, 
#>         2.51999998092651, 3.07999992370605, 2.51999998092651, 
#>         3.46000003814697, 3, 2.27999997138977, 2.85999989509583, 
#>         2.0699999332428, 2.11999988555908, 3.66000008583069, 
#>         1.82000005245209, 3.5, 3.52999997138977, 2.64000010490417, 
#>         2.89000010490417, 4.44000005722046, 3.19000005722046, 
#>         2.88000011444092, 1.99000000953674, 2.84999990463257, 
#>         3.78999996185303, 2.9300000667572, 3.61999988555908, 
#>         2.44000005722046, 3.44000005722046, 2.79999995231628, 
#>         2.44000005722046, 3.33999991416931, 2.50999999046326, 
#>         2.78999996185303, 2.82999992370605, 3.6800000667572, 
#>         2.61999988555908, 1.41999995708466, 3.9300000667572, 
#>         2.95000004768372, 3.02999997138977, 2.75, 3.04999995231628, 
#>         3.13000011444092, 3.16000008583069, 2.52999997138977, 
#>         2.79999995231628, 2.19000005722046, 2.6800000667572, 
#>         3.33999991416931, 1.97000002861023, 2.09999990463257, 
#>         2.99000000953674, 2.74000000953674, 1.62000000476837, 
#>         3.16000008583069, 3.71000003814697, 2.63000011444092, 
#>         1.98000001907349, 1.5, 3.09999990463257, 3.40000009536743, 
#>         4, 2.38000011444092, 1.96000003814697, 2.67000007629395, 
#>         3.33999991416931, 3.23000001907349, 2.67000007629395, 
#>         2.85999989509583, 2.40000009536743, 1.61000001430511, 
#>         2.91000008583069), full = c(100L, 57L, 81L, 64L, 90L, 
#>         95L, 96L, 93L, 91L, 96L, 84L, 65L, 93L, 55L, 80L, 67L, 
#>         97L, 89L, 100L, 90L, 97L, 89L, 78L, 81L, 81L, 95L, 77L, 
#>         95L, 88L, 100L, 97L, 31L, 91L, 98L, 66L, 94L, 94L, 84L, 
#>         47L, 96L, 97L, 82L, 100L, 85L, 100L, 97L, 84L, 88L, 93L, 
#>         93L, 100L, 95L, 100L, 83L, 78L, 98L, 77L, 100L, 95L, 
#>         100L, 97L, 87L, 24L, 91L, 68L, 95L, 100L, 97L, 93L, 64L, 
#>         92L, 81L, 80L, 72L, 100L, 84L, 94L, 80L, 89L, 56L, 100L, 
#>         95L, 96L, 97L, 100L, 99L, 100L, 100L, 99L, 100L, 73L, 
#>         92L, 91L, 86L, 90L, 98L, 67L, 81L, 89L, 93L, 100L, 76L, 
#>         79L, 56L, 78L, 96L, 93L, 100L, 100L, 100L, 96L, 90L, 
#>         100L, 94L, 97L, 93L, 61L, 75L, 80L, 73L, 100L, 100L, 
#>         100L, 100L, 100L, 82L, 88L, 74L, 82L, 84L, 92L, 62L, 
#>         91L, 85L, 100L, 91L, 78L, 94L, 81L, 70L, 86L, 84L, 100L, 
#>         88L, 84L, 100L, 93L, 95L, 94L, 55L, 88L, 96L, 73L, 92L, 
#>         84L, 95L, 85L, 81L, 99L, 67L, 94L, 92L, 95L, 87L, 78L, 
#>         98L, 92L, 83L, 66L, 81L, 80L, 92L, 96L, 96L, 66L, 84L, 
#>         92L, 70L, 100L, 97L, 71L, 83L, 97L, 100L, 82L, 91L, 96L, 
#>         68L, 88L, 88L, 83L, 68L, 65L, 67L, 100L, 42L, 95L, 78L, 
#>         95L, 97L), emer = c(0L, 40L, 26L, 24L, 7L, 0L, 0L, 8L, 
#>         14L, 0L, 18L, 37L, 17L, 26L, 19L, 33L, 3L, 13L, 7L, 14L, 
#>         0L, 11L, 22L, 19L, 15L, 0L, 17L, 6L, 4L, 8L, 3L, 63L, 
#>         3L, 9L, 35L, 6L, 13L, 16L, 47L, 4L, 6L, 18L, 3L, 18L, 
#>         0L, 3L, 9L, 0L, 7L, 0L, 0L, 8L, 0L, 9L, 23L, 0L, 17L, 
#>         6L, 5L, 0L, 3L, 5L, 72L, 15L, 34L, 5L, 0L, 3L, 4L, 29L, 
#>         10L, 22L, 17L, 28L, 0L, 13L, 13L, 20L, 11L, 44L, 2L, 
#>         0L, 7L, 3L, 0L, 3L, 0L, 0L, 4L, 12L, 19L, 17L, 15L, 14L, 
#>         10L, 2L, 28L, 14L, 11L, 5L, 0L, 12L, 24L, 40L, 16L, 4L, 
#>         7L, 0L, 21L, 0L, 4L, 14L, 0L, 9L, 3L, 8L, 39L, 25L, 17L, 
#>         30L, 0L, 10L, 0L, 0L, 0L, 11L, 6L, 11L, 18L, 14L, 8L, 
#>         15L, 8L, 15L, 0L, 5L, 11L, 6L, 16L, 37L, 7L, 16L, 3L, 
#>         12L, 1L, 0L, 7L, 3L, 6L, 42L, 12L, 4L, 24L, 14L, 12L, 
#>         5L, 15L, 3L, 4L, 33L, 6L, 8L, 8L, 10L, 19L, 2L, 10L, 
#>         13L, 25L, 19L, 13L, 0L, 1L, 6L, 28L, 14L, 8L, 30L, 0L, 
#>         6L, 18L, 17L, 6L, 3L, 7L, 9L, 0L, 26L, 12L, 5L, 17L, 
#>         28L, 34L, 30L, 0L, 39L, 4L, 13L, 5L, 3L), enroll = c(276L, 
#>         841L, 441L, 298L, 354L, 330L, 385L, 583L, 763L, 381L, 
#>         1293L, 1043L, 2165L, 739L, 1894L, 1112L, 515L, 1116L, 
#>         739L, 262L, 528L, 912L, 278L, 357L, 2552L, 266L, 1105L, 
#>         1586L, 256L, 1173L, 539L, 443L, 450L, 553L, 1527L, 589L, 
#>         363L, 475L, 331L, 312L, 558L, 983L, 474L, 1423L, 184L, 
#>         446L, 682L, 491L, 715L, 369L, 179L, 681L, 263L, 313L, 
#>         522L, 1820L, 598L, 1162L, 339L, 334L, 323L, 655L, 388L, 
#>         817L, 1033L, 342L, 355L, 537L, 382L, 2039L, 1345L, 444L, 
#>         603L, 390L, 264L, 158L, 618L, 643L, 424L, 541L, 532L, 
#>         473L, 337L, 447L, 334L, 1115L, 290L, 767L, 1956L, 660L, 
#>         285L, 143L, 555L, 829L, 382L, 695L, 571L, 637L, 529L, 
#>         619L, 270L, 775L, 1515L, 954L, 441L, 387L, 633L, 227L, 
#>         893L, 155L, 1771L, 635L, 588L, 325L, 725L, 1469L, 437L, 
#>         195L, 1087L, 554L, 445L, 119L, 292L, 332L, 358L, 339L, 
#>         386L, 250L, 587L, 1989L, 802L, 608L, 1139L, 262L, 304L, 
#>         525L, 459L, 195L, 492L, 480L, 615L, 892L, 437L, 1148L, 
#>         1032L, 390L, 1692L, 2247L, 547L, 1068L, 1191L, 365L, 
#>         770L, 934L, 678L, 348L, 714L, 708L, 2018L, 271L, 895L, 
#>         307L, 1788L, 216L, 620L, 1377L, 1115L, 2181L, 1783L, 
#>         696L, 933L, 153L, 1524L, 1389L, 2171L, 1313L, 542L, 1684L, 
#>         213L, 1520L, 1012L, 3156L, 410L, 1358L, 364L, 169L, 368L, 
#>         190L, 368L, 763L, 601L, 2237L, 1602L, 420L, 613L, 446L, 
#>         1754L, 423L, 482L, 599L), api.stu = c(241L, 631L, 415L, 
#>         288L, 319L, 315L, 363L, 510L, 652L, 322L, 1035L, 815L, 
#>         1850L, 658L, 1451L, 931L, 447L, 966L, 585L, 192L, 479L, 
#>         796L, 266L, 302L, 2238L, 241L, 851L, 1349L, 222L, 923L, 
#>         494L, 401L, 397L, 509L, 1458L, 509L, 306L, 402L, 285L, 
#>         266L, 515L, 853L, 397L, 780L, 148L, 356L, 645L, 384L, 
#>         643L, 327L, 143L, 602L, 226L, 256L, 437L, 1607L, 340L, 
#>         1077L, 243L, 244L, 257L, 622L, 299L, 675L, 884L, 293L, 
#>         284L, 438L, 312L, 1769L, 565L, 368L, 532L, 339L, 238L, 
#>         124L, 545L, 567L, 386L, 478L, 303L, 397L, 278L, 354L, 
#>         265L, 1099L, 256L, 735L, 1756L, 597L, 250L, 133L, 484L, 
#>         714L, 304L, 626L, 436L, 594L, 492L, 542L, 239L, 653L, 
#>         1309L, 746L, 383L, 338L, 364L, 185L, 749L, 137L, 1454L, 
#>         461L, 318L, 288L, 613L, 1344L, 366L, 168L, 963L, 490L, 
#>         395L, 106L, 228L, 320L, 273L, 301L, 323L, 219L, 478L, 
#>         1581L, 386L, 544L, 665L, 241L, 251L, 434L, 349L, 178L, 
#>         376L, 448L, 552L, 774L, 381L, 840L, 932L, 325L, 1552L, 
#>         2052L, 487L, 1147L, 1063L, 326L, 645L, 845L, 403L, 296L, 
#>         591L, 524L, 1153L, 261L, 783L, 278L, 1593L, 162L, 500L, 
#>         917L, 914L, 1958L, 814L, 595L, 756L, 123L, 1254L, 1137L, 
#>         1995L, 1111L, 430L, 1208L, 175L, 1306L, 1082L, 2900L, 
#>         372L, 1182L, 347L, 142L, 332L, 168L, 314L, 691L, 457L, 
#>         1248L, 1178L, 352L, 534L, 351L, 1516L, 369L, 446L, 517L
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#>         15.1000003814697, 44.2099990844727, 44.2099990844727, 
#>         44.2099990844727, 15.1000003814697, 20.3600006103516, 
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#>         1018, 4421, 755, 755, 4421, 755, 755, 4421, 1018, 1018, 
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#>         755, 755, 1018, 1018, 4421, 1018, 755, 1018, 755, 755, 
#>         755, 4421, 755, 1018, 755, 4421, 1018, 4421, 4421, 4421, 
#>         4421, 4421, 755, 4421, 755, 755, 4421, 4421, 4421, 755, 
#>         1018, 4421, 755), ellnum = c(25, 77, 23, 63, 17, 0, 2, 
#>         2, 58, 23, 25, 10, 43, 26, 7, 66, 73, 20, 16, 39, 6, 
#>         18, 6, 59, 18, 3, 3, 5, 7, 23, 1, 17, 10, 27, 22, 18, 
#>         0, 14, 0, 2, 2, 30, 7, 37, 0, 3, 4, 46, 13, 3, 42, 20, 
#>         11, 0, 32, 8, 27, 27, 43, 3, 37, 22, 35, 62, 17, 8, 1, 
#>         3, 4, 37, 4, 70, 80, 15, 10, 22, 33, 73, 3, 38, 0, 9, 
#>         2, 11, 3, 5, 0, 2, 7, 62, 1, 28, 18, 5, 25, 0, 33, 21, 
#>         32, 1, 7, 13, 22, 46, 24, 18, 1, 8, 16, 10, 7, 50, 0, 
#>         40, 14, 1, 37, 84, 17, 33, 1, 6, 2, 32, 1, 28, 22, 20, 
#>         50, 6, 17, 5, 11, 33, 1, 14, 66, 17, 41, 12, 9, 54, 8, 
#>         16, 24, 17, 2, 5, 50, 24, 18, 19, 12, 6, 33, 0, 33, 28, 
#>         4, 51, 8, 5, 3, 25, 69, 0, 10, 16, 6, 29, 10, 7, 15, 
#>         21, 34, 18, 0, 49, 59, 10, 0, 34, 4, 6, 45, 50, 21, 22, 
#>         14, 3, 34, 37, 8, 12, 39, 56, 14, 6, 69, 4), mealsnum = c(33, 
#>         98, 64, 83, 26, 7, 9, 45, 75, 47, 69, 60, 66, 54, 35, 
#>         95, 75, 47, 6, 93, 38, 32, 24, 89, 44, 15, 18, 9, 35, 
#>         60, 13, 98, 25, 78, 63, 54, 21, 24, 23, 34, 2, 31, 4, 
#>         37, 14, 31, 20, 59, 31, 6, 66, 58, 71, 67, 75, 15, 78, 
#>         64, 40, 36, 42, 69, 99, 75, 51, 45, 14, 13, 7, 79, 4, 
#>         83, 92, 51, 25, 74, 52, 95, 51, 96, 3, 74, 7, 20, 24, 
#>         50, 20, 4, 8, 100, 61, 48, 51, 17, 56, 12, 80, 72, 77, 
#>         18, 10, 18, 39, 64, 54, 76, 1, 6, 45, 11, 9, 72, 19, 
#>         100, 47, 1, 72, 97, 67, 85, 1, 6, 77, 83, 52, 42, 38, 
#>         39, 100, 19, 19, 99, 34, 78, 10, 36, 98, 23, 69, 66, 
#>         28, 73, 25, 29, 31, 33, 0, 21, 49, 100, 24, 4, 46, 24, 
#>         82, 29, 46, 44, 5, 76, 36, 43, 5, 20, 98, 1, 20, 23, 
#>         33, 33, 24, 41, 57, 36, 91, 21, 13, 98, 67, 23, 38, 86, 
#>         14, 13, 74, 72, 45, 39, 38, 8, 69, 47, 38, 34, 36, 98, 
#>         36, 56, 88, 28), mobilitynum = c(11, 26, 17, 13, 31, 
#>         12, 10, 15, 23, 19, 26, 22, 16, 44, 18, 18, 12, 8, 17, 
#>         20, 8, 6, 15, 10, 13, 11, 12, 9, 9, 18, 6, 31, 16, 20, 
#>         13, 23, 17, 17, 9, 18, 8, 12, 17, 17, 15, 22, 4, 13, 
#>         9, 13, 15, 9, 24, 15, 32, 10, 12, 22, 15, 38, 21, 21, 
#>         18, 11, 12, 38, 18, 16, 16, 16, 9, 17, 27, 9, 12, 12, 
#>         8, 17, 16, 8, 7, 5, 20, 26, 16, 14, 14, 3, 8, 22, 20, 
#>         7, 19, 8, 19, 8, 25, 12, 4, 14, 12, 20, 9, 26, 17, 17, 
#>         6, 8, 22, 12, 6, 17, 6, 21, 16, 6, 16, 6, 46, 7, 8, 8, 
#>         20, 23, 13, 15, 18, 29, 17, 55, 6, 19, 19, 21, 17, 13, 
#>         23, 7, 38, 12, 14, 13, 13, 21, 10, 16, 4, 10, 9, 72, 
#>         10, 17, 99, 12, 41, 16, 12, 19, 10, 9, 15, 13, 12, 15, 
#>         23, 4, 8, 12, 14, 11, 22, 11, 15, 15, 9, 1, 8, 12, 12, 
#>         96, 18, 6, 12, 10, 11, 26, 13, 11, 20, 11, 25, 7, 22, 
#>         13, 13, 22, 12, 10, 6, 6), col.gradnum = c(0, 0, 0, 0, 
#>         0, 0, 0, 0, 0, 0, 0, 10, 12, 29, 23, 8, 9, 16, 100, 2, 
#>         28, 28, 26, 3, 13, 27, 30, 34, 44, 13, 42, 5, 29, 21, 
#>         0, 20, 19, 16, 28, 10, 35, 10, 42, 14, 42, 20, 27, 21, 
#>         19, 35, 8, 13, 22, 33, 7, 31, 19, 22, 39, 24, 22, 17, 
#>         15, 7, 67, 19, 39, 39, 39, 23, 41, 5, 4, 0, 10, 10, 22, 
#>         3, 9, 2, 33, 11, 34, 28, 25, 40, 41, 42, 45, 8, 48, 21, 
#>         12, 31, 12, 33, 5, 22, 8, 18, 35, 25, 17, 9, 16, 6, 38, 
#>         25, 30, 32, 41, 13, 30, 4, 15, 44, 24, 2, 18, 12, 43, 
#>         30, 11, 11, 20, 10, 22, 35, 8, 36, 40, 25, 33, 11, 32, 
#>         23, 19, 30, 6, 7, 36, 8, 10, 37, 24, 27, 36, 31, 19, 
#>         13, 28, 40, 18, 20, 15, 36, 25, 21, 32, 10, 21, 12, 43, 
#>         19, 2, 44, 31, 30, 21, 28, 34, 32, 18, 25, 16, 29, 27, 
#>         14, 13, 16, 21, 5, 35, 36, 16, 3, 0, 35, 23, 0, 11, 14, 
#>         31, 27, 33, 33, 25, 16, 0, 25), fullnum = c(100, 57, 
#>         81, 64, 90, 95, 96, 93, 91, 96, 84, 65, 93, 55, 80, 67, 
#>         97, 89, 100, 90, 97, 89, 78, 81, 81, 95, 77, 95, 88, 
#>         100, 97, 31, 91, 98, 66, 94, 94, 84, 47, 96, 97, 82, 
#>         100, 85, 100, 97, 84, 88, 93, 93, 100, 95, 100, 83, 78, 
#>         98, 77, 100, 95, 100, 97, 87, 24, 91, 68, 95, 100, 97, 
#>         93, 64, 92, 81, 80, 72, 100, 84, 94, 80, 89, 56, 100, 
#>         95, 96, 97, 100, 99, 100, 100, 99, 100, 73, 92, 91, 86, 
#>         90, 98, 67, 81, 89, 93, 100, 76, 79, 56, 78, 96, 93, 
#>         100, 100, 100, 96, 90, 100, 94, 97, 93, 61, 75, 80, 73, 
#>         100, 100, 100, 100, 100, 82, 88, 74, 82, 84, 92, 62, 
#>         91, 85, 100, 91, 78, 94, 81, 70, 86, 84, 100, 88, 84, 
#>         100, 93, 95, 94, 55, 88, 96, 73, 92, 84, 95, 85, 81, 
#>         99, 67, 94, 92, 95, 87, 78, 98, 92, 83, 66, 81, 80, 92, 
#>         96, 96, 66, 84, 92, 70, 100, 97, 71, 83, 97, 100, 82, 
#>         91, 96, 68, 88, 88, 83, 68, 65, 67, 100, 42, 95, 78, 
#>         95, 97), col.gradnumr = c(100, 100, 100, 100, 100, 100, 
#>         100, 100, 100, 100, 100, 90, 88, 71, 77, 92, 91, 84, 
#>         0, 98, 72, 72, 74, 97, 87, 73, 70, 66, 56, 87, 58, 95, 
#>         71, 79, 100, 80, 81, 84, 72, 90, 65, 90, 58, 86, 58, 
#>         80, 73, 79, 81, 65, 92, 87, 78, 67, 93, 69, 81, 78, 61, 
#>         76, 78, 83, 85, 93, 33, 81, 61, 61, 61, 77, 59, 95, 96, 
#>         100, 90, 90, 78, 97, 91, 98, 67, 89, 66, 72, 75, 60, 
#>         59, 58, 55, 92, 52, 79, 88, 69, 88, 67, 95, 78, 92, 82, 
#>         65, 75, 83, 91, 84, 94, 62, 75, 70, 68, 59, 87, 70, 96, 
#>         85, 56, 76, 98, 82, 88, 57, 70, 89, 89, 80, 90, 78, 65, 
#>         92, 64, 60, 75, 67, 89, 68, 77, 81, 70, 94, 93, 64, 92, 
#>         90, 63, 76, 73, 64, 69, 81, 87, 72, 60, 82, 80, 85, 64, 
#>         75, 79, 68, 90, 79, 88, 57, 81, 98, 56, 69, 70, 79, 72, 
#>         66, 68, 82, 75, 84, 71, 73, 86, 87, 84, 79, 95, 65, 64, 
#>         84, 97, 100, 65, 77, 100, 89, 86, 69, 73, 67, 67, 75, 
#>         84, 100, 75), fullnumr = c(24, 67, 43, 60, 34, 29, 28, 
#>         31, 33, 28, 40, 59, 31, 69, 44, 57, 27, 35, 24, 34, 27, 
#>         35, 46, 43, 43, 29, 47, 29, 36, 24, 27, 93, 33, 26, 58, 
#>         30, 30, 40, 77, 28, 27, 42, 24, 39, 24, 27, 40, 36, 31, 
#>         31, 24, 29, 24, 41, 46, 26, 47, 24, 29, 24, 27, 37, 100, 
#>         33, 56, 29, 24, 27, 31, 60, 32, 43, 44, 52, 24, 40, 30, 
#>         44, 35, 68, 24, 29, 28, 27, 24, 25, 24, 24, 25, 24, 51, 
#>         32, 33, 38, 34, 26, 57, 43, 35, 31, 24, 48, 45, 68, 46, 
#>         28, 31, 24, 24, 24, 28, 34, 24, 30, 27, 31, 63, 49, 44, 
#>         51, 24, 24, 24, 24, 24, 42, 36, 50, 42, 40, 32, 62, 33, 
#>         39, 24, 33, 46, 30, 43, 54, 38, 40, 24, 36, 40, 24, 31, 
#>         29, 30, 69, 36, 28, 51, 32, 40, 29, 39, 43, 25, 57, 30, 
#>         32, 29, 37, 46, 26, 32, 41, 58, 43, 44, 32, 28, 28, 58, 
#>         40, 32, 54, 24, 27, 53, 41, 27, 24, 42, 33, 28, 56, 36, 
#>         36, 41, 56, 59, 57, 24, 82, 29, 46, 29, 27)), fpc = list(
#>         popsize = c(4421, 4421, 4421, 4421, 4421, 4421, 4421, 
#>         4421, 4421, 4421, 1018, 1018, 755, 1018, 755, 4421, 4421, 
#>         1018, 1018, 4421, 4421, 1018, 4421, 755, 755, 4421, 755, 
#>         755, 4421, 1018, 1018, 4421, 4421, 4421, 755, 4421, 1018, 
#>         1018, 755, 4421, 1018, 755, 4421, 755, 4421, 4421, 755, 
#>         1018, 1018, 4421, 1018, 4421, 4421, 4421, 4421, 755, 
#>         1018, 1018, 4421, 4421, 4421, 4421, 4421, 1018, 755, 
#>         4421, 4421, 4421, 4421, 1018, 1018, 4421, 4421, 1018, 
#>         4421, 4421, 1018, 4421, 4421, 4421, 755, 4421, 4421, 
#>         4421, 4421, 755, 4421, 1018, 755, 4421, 4421, 4421, 4421, 
#>         1018, 4421, 755, 4421, 755, 1018, 4421, 4421, 1018, 755, 
#>         1018, 4421, 4421, 755, 4421, 1018, 4421, 755, 1018, 755, 
#>         4421, 1018, 755, 4421, 4421, 1018, 1018, 4421, 755, 4421, 
#>         4421, 1018, 4421, 4421, 4421, 4421, 755, 1018, 1018, 
#>         755, 4421, 4421, 1018, 4421, 755, 4421, 1018, 4421, 1018, 
#>         4421, 755, 755, 4421, 755, 755, 4421, 755, 1018, 4421, 
#>         4421, 1018, 4421, 1018, 1018, 1018, 755, 4421, 1018, 
#>         4421, 755, 755, 4421, 755, 755, 755, 755, 1018, 1018, 
#>         4421, 1018, 755, 1018, 755, 755, 755, 4421, 755, 1018, 
#>         755, 4421, 1018, 4421, 4421, 4421, 4421, 4421, 755, 4421, 
#>         755, 755, 4421, 4421, 4421, 755, 1018, 4421, 755), sampsize = c(100L, 
#>         100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 
#>         50L, 50L, 50L, 50L, 50L, 100L, 100L, 50L, 50L, 100L, 
#>         100L, 50L, 100L, 50L, 50L, 100L, 50L, 50L, 100L, 50L, 
#>         50L, 100L, 100L, 100L, 50L, 100L, 50L, 50L, 50L, 100L, 
#>         50L, 50L, 100L, 50L, 100L, 100L, 50L, 50L, 50L, 100L, 
#>         50L, 100L, 100L, 100L, 100L, 50L, 50L, 50L, 100L, 100L, 
#>         100L, 100L, 100L, 50L, 50L, 100L, 100L, 100L, 100L, 50L, 
#>         50L, 100L, 100L, 50L, 100L, 100L, 50L, 100L, 100L, 100L, 
#>         50L, 100L, 100L, 100L, 100L, 50L, 100L, 50L, 50L, 100L, 
#>         100L, 100L, 100L, 50L, 100L, 50L, 100L, 50L, 50L, 100L, 
#>         100L, 50L, 50L, 50L, 100L, 100L, 50L, 100L, 50L, 100L, 
#>         50L, 50L, 50L, 100L, 50L, 50L, 100L, 100L, 50L, 50L, 
#>         100L, 50L, 100L, 100L, 50L, 100L, 100L, 100L, 100L, 50L, 
#>         50L, 50L, 50L, 100L, 100L, 50L, 100L, 50L, 100L, 50L, 
#>         100L, 50L, 100L, 50L, 50L, 100L, 50L, 50L, 100L, 50L, 
#>         50L, 100L, 100L, 50L, 100L, 50L, 50L, 50L, 50L, 100L, 
#>         50L, 100L, 50L, 50L, 100L, 50L, 50L, 50L, 50L, 50L, 50L, 
#>         100L, 50L, 50L, 50L, 50L, 50L, 50L, 100L, 50L, 50L, 50L, 
#>         100L, 50L, 100L, 100L, 100L, 100L, 100L, 50L, 100L, 50L, 
#>         50L, 100L, 100L, 100L, 50L, 50L, 100L, 50L), pps = FALSE), 
#>     pps = FALSE), SES = c(38.6, 73.6, 49.4, 63.8, 41.6, 29.6, 
#> 29.8, 38.6, 57.8, 43.4, 52, 48.2, 48.8, 52.8, 36.2, 65.6, 55.6, 
#> 38.8, 12.6, 56.8, 30.2, 32.6, 33, 59.6, 41, 26.2, 30, 23.6, 28.6, 
#> 42.4, 21, 66.8, 31, 46, 51.2, 41, 29.8, 35.8, 36.2, 34.4, 20.8, 
#> 41, 22, 43.2, 22.2, 32.6, 28.2, 46.6, 33, 23.6, 47.8, 40.6, 41.6, 
#> 38, 55.6, 25.6, 49, 43, 37.6, 35.4, 41, 46.4, 67.4, 54.8, 33.8, 
#> 40.2, 23.6, 24, 23.8, 53.8, 21.6, 61.6, 67.8, 45.4, 32.2, 47.6, 
#> 40.2, 65.2, 39.2, 61.6, 20.2, 41.2, 24.6, 31.2, 28.4, 30.8, 23.4, 
#> 18.2, 20.6, 60, 37, 38.8, 41.8, 27.4, 44.4, 22.6, 58, 45.2, 48, 
#> 29.2, 23.6, 34.8, 39.6, 59, 45, 46.6, 20.2, 24.2, 35.4, 25, 21.8, 
#> 52, 23.8, 57.4, 37.8, 19, 52.8, 66.8, 51.2, 52.8, 18.2, 22.8, 
#> 42.4, 50.2, 34, 43.4, 38.4, 40.6, 60.2, 36.8, 26.8, 52, 32.8, 
#> 52, 24, 34.6, 62.8, 29.4, 57, 47.4, 30.6, 54.4, 32, 33, 36.2, 
#> 32.6, 20.2, 26.8, 43.8, 70.4, 32, 25.6, 58, 30.8, 56.2, 27.6, 
#> 41, 42.6, 22.4, 56.6, 33.6, 36.2, 21.2, 35.6, 66.8, 17.4, 27.8, 
#> 32.4, 38, 37.6, 33.2, 31.8, 39.4, 35, 55.2, 30.2, 25.2, 59.8, 
#> 49.8, 48, 37.6, 52.4, 24.4, 23.4, 51.2, 55.6, 41.4, 38.6, 37, 
#> 31.6, 51.6, 46.6, 39.2, 37.8, 35.8, 65, 33.2, 40.4, 58.4, 28))