This plots distributions identified by `find_possible_distributions`

using ggplot2.
They can be shown as histograms or as cumulative distributions (ECDF) plots. The latter give
more information, yet not all audiences are familiar with them.

```
plot_distributions(
distributions,
plot_type = c("auto", "histogram", "ecdf", "density"),
max_plots = 100,
show_ids = FALSE,
facets = NULL
)
```

- distributions
Tibble with a column

`distribution`

and an identifier (`id`

), typically as returned from`find_possible_distributions`

.- plot_type
Plot multiple histograms, or overlapping cumulative distribution plots, or density plots? "auto" is to plot histograms if up to 9 distributions are passed, or if there are fewer than 10 discrete values, and empirical cumulative distribution plots otherwise

- max_plots
How many distributions should

*at most*be plotted? If more are passed, this number is randomly selected.- show_ids
Should ids of the distributions be shown with ecdf and density charts? Defaults to no, since the default ids are not meaningful.

- facets
Should distributions be shown in one chart or in multiple small charts? Only considered for ecdf and density charts, histograms are always shown in facets

A ggplot2 object that can be styled with functions such as `labs`

or `theme_linedraw`

```
sprite_parameters <- set_parameters(mean = 2.2, sd = 1.3, n_obs = 20,
min_val = 1, max_val = 5)
poss <- find_possible_distributions(sprite_parameters, 5, seed = 1234)
# All distributions in same plot
plot_distributions(poss, plot_type = "ecdf")
# Separate plot for each distribution
plot_distributions(poss, plot_type = "ecdf", facets = TRUE)
```