Correlation of categorical items with categorical items — plot_counts_items_grouped

Not yet implemented. The future will come.

Usage

plot_counts_items_grouped_items(
  data,
  cols,
  cross,
  method = "cramer",
  numbers = TRUE,
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data: A tibble containing item measures.
cols: Tidyselect item variables (e.g. starts_with...).
cross: Tidyselect item variables (e.g. starts_with...).
method: The method of correlation calculation: cramer for Cramer's V and f1 for F1. F1 can only be calculated if the two variable sets have the same labels.
numbers: Controls whether to display correlation coefficients on the plot.
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.