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Output averages for multiple variables
plot_metrics_items( data, cols, ci = FALSE, box = FALSE, limits = NULL, title = TRUE, labels = TRUE, clean = TRUE, ... )
A ggplot object.
A tibble containing item measures.
Tidyselect item variables (e.g. starts_with...).
Whether to plot the 95% confidence interval of the mean.
Whether to add boxplots.
The scale limits. Set NULL to extract limits from the labels. NOT IMPLEMENTED YET.
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.
If TRUE (default) extracts labels from the attributes, see codebook.
Prepare data by data_clean.
Placeholder to allow calling the method with unused parameters from plot_metrics.
library(volker) data <- volker::chatgpt plot_metrics_items(data, starts_with("cg_adoption_"))
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