volker (version 2.1.0)

plot_metrics_items_cor_items: 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,
  ...
)

Value

A ggplot object.

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.

Examples

library(volker)
data <- volker::chatgpt

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