Output a five point summary for groups

Usage

tab_metrics_one_grouped(
  data,
  col,
  cross,
  ci = FALSE,
  digits = 1,
  labels = TRUE,
  clean = TRUE,
  ...
)

Arguments

data: A tibble.
col: The column holding metric values.
cross: The column holding groups to compare.
ci: Whether to output 95% confidence intervals.
digits: The number of digits to print.
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 tab_metrics.

Value

A volker tibble.

Examples

library(volker)
data <- volker::chatgpt

tab_metrics_one_grouped(data, sd_age, sd_gender)
#> 
#> 
#> |Gender  | min|   q1| median|   q3| max| mean|   sd|   n|
#> |:-------|---:|----:|------:|----:|---:|----:|----:|---:|
#> |female  |  18| 25.8|   38.0| 44.2|  63| 37.5| 13.4|  40|
#> |male    |  19| 32.5|   38.5| 52.0|  68| 41.2| 14.0|  60|
#> |diverse |  33| 33.0|   33.0| 33.0|  33| 33.0|     |   1|
#> |total   |  18| 27.0|   38.0| 52.0|  68| 39.7| 13.8| 101|