plot_metrics_items {volker} | R Documentation |
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_"))
[Package volker version 3.1.0 Index]