plot_metrics_one_grouped {volker}R Documentation

Output averages for multiple variables

Description

Output averages for multiple variables

Usage

plot_metrics_one_grouped(
  data,
  col,
  cross,
  negative = FALSE,
  ci = FALSE,
  box = FALSE,
  limits = NULL,
  title = TRUE,
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data

A tibble.

col

The column holding metric values.

cross

The column holding groups to compare.

negative

If FALSE (default), negative values are recoded as missing values.

ci

Whether to add error bars with 95% confidence intervals.

box

Whether to add boxplots.

limits

The scale limits. Set NULL to extract limits from the labels.

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_one_grouped(data, sd_age, sd_gender)


[Package volker version 2.0.1 Index]