plot_metrics_items: Output averages for multiple variables

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

Output averages for multiple variables

Description

Output averages for multiple variables

Usage

plot_metrics_items(
  data,
  cols,
  ci = FALSE,
  box = FALSE,
  limits = NULL,
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data	A tibble containing item measures.
cols	Tidyselect item variables (e.g. starts_with...).
ci	Whether to plot the 95% confidence interval of the mean.
box	Whether to add boxplots.
limits	The scale limits. Set NULL to extract limits from the labels. NOT IMPLEMENTED YET.
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(data, starts_with("cg_adoption_"))

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