plot_metrics_items_cor_items: Heatmap for correlations between multiple items

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

Heatmap for correlations between multiple items

Description

Heatmap for correlations between multiple items

Usage

plot_metrics_items_cor_items(
  data,
  cols,
  cross,
  method = "pearson",
  numbers = FALSE,
  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 to correlate (e.g. starts_with...).
method	The method of correlation calculation, pearson = Pearson's R, spearman = Spearman's rho.
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_metrics.

Value

A ggplot object.

Examples

library(volker)
data <- volker::chatgpt

plot_metrics_items_cor_items(data, starts_with("cg_adoption_adv"), starts_with("use_"))

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