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Output a five point summary for groups
tab_metrics_one_grouped( data, col, cross, ci = FALSE, digits = 1, labels = TRUE, clean = TRUE, ... )
A volker tibble.
A tibble.
The column holding metric values.
The column holding groups to compare.
Whether to output 95% confidence intervals.
The number of digits to print.
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 tab_metrics.
library(volker) data <- volker::chatgpt tab_metrics_one_grouped(data, sd_age, sd_gender)
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