NEWS.md
run_mediation() to estimate and plot_mediation() to visualize parallel mediation models.na_when() to set values to NA based on logical conditions, and na_ifs() to replace multiple values with NA (naming choice guided by existing dplyr::na_if function)make_scale_mi() to estimate scale scores and Cronbach’s alpha after multiple-imputation at the item level. According to Gottschall, West & Enders (2012), this is one of the best ways to deal with item-level missing data. If requested, the function can bootstrap confidence intervals, using the future-package for parallel computing.pcor_matrix() to calculate partial correlation matrices after parceling out one or several variable.run_and_format() to run any code and return formatted code and output for sharing - in the style of reprex::reprex() but without creating a new session (intended for teaching or sharing code examples, rather than bug reporting).paste_() that mimics paste() but removes NA-valuesdupl_items() that returns (unique) duplicated items from vector, removing need for subsetting with duplicated()
make_scale() now has a proration_cutoff argument to specify the maximum share of missing data ignored in each case. This offers a simple way to improve on casewise deletion for handling missing data, without getting scale scores based on an insufficient subset of items. [NB: This is a breaking change, earlier versions implicitly had a proration_cutoff of 1, returning scale scores if at least one item was present - which is indefensible when there is a lot of missing data.]text to descriptives returned by make_scale()
report_lm_with_std() to show R2 change for more than one pair of modelst.test()-style formula notion in pairwise_t_tests()
make_scales()
report_cor_table() now ensures correct ordering of extra columns if row_names column is includedtidy.svy_cor_matrix() to tidy survey-weighted correlation matriceswtd_cor_matrix_mi() to cor_matrix_mi() to reflect that weights are optionalfmt_p() gained a equal_sign argument that determines whether p-values that are reported precisely are prefixed with “=”dump_to_clip() now accepts objects passed directly, or through the pipe (#5)line_to_vector() now automatically returns numeric vectors when only numbers are passed, and has gained an option to retain NA values for blank entriesreport_polr_with_std() works again after broom::tidy.polr() update broke itfmt_p() now supports greater numbers of significant digits properlyfmt_p() now checks argument types, so that it does not return misleading results when characters are passed (#10)pairwise_t_tests() can now deal with missing data and labelled arguments (#9)make_scales() now correctly reacts to print_desc argumentcor_matrix() now works robustly with missing = "fiml" even when some bootstraps do not convergesvy_miss_var_summary() to quickly check for missing data in survey objectspolr_std() function to run proportional-odds model with continuous predictors standardised (analogous to lm_std())dummy_code() for creating k-1 dummies with tidy namesreport_anova() to report F-tests for model comparisons (limited functionalities at present)cor_matrix()
ggplot_save()
fmt_p()
ggsave_show() now correctly takes file type from file extensionreport_lm_with_std() and report_polr_with_std() broke when gt implemented tidyselect. Fixed again.