Plot percent shares of multiple items compared by a metric variable split into groups

Usage

plot_counts_items_cor(
  data,
  cols,
  cross,
  category = NULL,
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data: A tibble containing item measures.
cols: Tidyselect item variables (e.g. starts_with...).
cross: A metric column that will be split into groups at the median.
category: Summarizing multiple items (the cols parameter) by group requires a focus category. By default, for logical column types, only TRUE values are counted. For other column types, the first category is counted. To override the default behavior, provide a vector of values in the dataset or labels from the codebook.
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_counts.

Value

A ggplot object.

Examples

library(volker)
data <- volker::chatgpt

plot_counts_items_cor(
  data, starts_with("cg_adoption_"), sd_age,
  category=c("agree","strongly agree")
)

#> In the plot, 4 missing case(s) omitted.

plot_counts_items_cor(
  data, starts_with("cg_adoption_"), sd_age,
  category=c(4,5)
)

#> In the plot, 4 missing case(s) omitted.