Multiple items correlated with one metric variable

Usage

plot_metrics_items_cor(
  data,
  cols,
  cross,
  ci = FALSE,
  method = "pearson",
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

data: A tibble containing item measures.
cols: Tidyselect item variables (e.g. starts_with...).
cross: The column to correlate.
ci: Whether to plot confidence intervals of the correlation coefficent.
method: The method of correlation calculation, pearson = Pearson's R, spearman = Spearman's rho.
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.

A ggplot object.

library(volker)
data <- volker::chatgpt

plot_metrics_items_cor(data, starts_with("use_"), sd_age)