volker (version 2.1.0)

plot_metrics_items_cor: Multiple items correlated with one metric variable

Description

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,
  ...
)

Value

A ggplot object.

Arguments

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.

Examples

library(volker)
data <- volker::chatgpt

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