plot_ppmc_ridges: Plot multiple PPMC parameter distributions Deprecated!

In Famondir/birtms: Creates and analyses Bayesian IRT models

Description

Plot multiple PPMC parameter distributions Deprecated!

Usage

plot_ppmc_ridges(
  data,
  parameter,
  group = 0,
  rope = FALSE,
  hdi = TRUE,
  ci_width = 0.89,
  color = "lightblue",
  range = NULL,
  custom_ci = NULL,
  ...
)

Arguments

data	tibble
parameter	column name that holds numeric values to plot density ridges for
group	column name to optionally specify that multiple density ridges should be plotted regarding the grouping value
rope	boolean; should the rope be plotted as a gray area?
hdi	boolean; should HDI or equitailed region be plotted
ci_width	double
color	color; sets color of ridges
range	double; c(min, max) used for setting xlim in coord_cartesian()
custom_ci	double vector to pass the ci limits manually (e.g. when )
...	arguments passed to ggridges::stat_density_ridges()

Value

ggplot2 object

Examples

## Not run: 
or_data <- get_or(fit, n_samples = 500)
or_data %>% select(-or_rep_samples) %>% filter(item1 == 1, item2 == 2) %>%
birtsms::unnest_keep_attr(or_dif_samples) %>%
birtsms::plot_ppmc_distribution(or_dif)

or_data %>% select(-or_rep_samples) %>% filter(item1 == 1, item2 %in% 2:4) %>%
birtsms::unnest_keep_attr(or_dif_samples) %>%
birtsms::plot_ppmc_distribution(or_dif, group = item2, rope = TRUE)

## End(Not run)

Famondir/birtms documentation built on Feb. 18, 2022, 2:51 a.m.