tab_counts_items_grouped: Compare the values in multiple items by a grouping column

In volker: High-Level Functions for Tabulating, Charting and Reporting Survey Data

Compare the values in multiple items by a grouping column

Description

Compare the values in multiple items by a grouping column

Usage

tab_counts_items_grouped(
  data,
  cols,
  cross,
  category = NULL,
  percent = TRUE,
  values = c("n", "p"),
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data	A tibble containing item measures.
cols	Tidyselect item variables (e.g. starts_with...).
cross	The column holding groups to compare.
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. Accepts both character and numeric vectors to override default counting behavior.
percent	Proportions are formatted as percent by default. Set to FALSE to get bare proportions.
values	The values to output: n (frequency) or p (percentage) or both (the default).
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 volker tibble.

Examples

library(volker)
data <- volker::chatgpt
tab_counts_items_grouped(
  data, starts_with("cg_adoption_"), adopter,
  category=c("agree", "strongly agree")
)

volker documentation built on April 12, 2025, 9:16 a.m.