Output averages for multiple variables

Usage

plot_metrics_items(
  data,
  cols,
  ci = FALSE,
  box = FALSE,
  limits = NULL,
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

data: A tibble containing item measures.
cols: Tidyselect item variables (e.g. starts_with...).
ci: Whether to plot the 95% confidence interval of the mean.
box: Whether to add boxplots.
limits: The scale limits. Set NULL to extract limits from the labels. NOT IMPLEMENTED YET.
title: If TRUE (default) shows a plot title derived from the column labels. Disable the title with FALSE or provide a custom title as character value.
labels: If TRUE (default) extracts labels from the attributes, see codebook.
clean: Prepare data by data_clean.
...: Placeholder to allow calling the method with unused parameters from plot_metrics.

A ggplot object.

library(volker)
data <- volker::chatgpt

plot_metrics_items(data, starts_with("cg_adoption_"))
#> In the plot, 4 missing case(s) omitted.