grouped_wilcox: Function to run two-sample Wilcoxon tests on multiple...
In IndrajeetPatil/groupedstats: Grouped Statistical Analyses in a Tidy Way

Description Usage Arguments Value See Also Examples

Function to run two-sample Wilcoxon tests on multiple variables across multiple grouping variables.

Running Wilcox test across multiple grouping variables.

grouped_wilcox(
  data,
  dep.vars,
  indep.vars,
  grouping.vars,
  paired = FALSE,
  correct = TRUE
)

`data`	Dataframe from which variables are to be taken.
`dep.vars`	List dependent variables for a two-sample Wilcoxon tests (`y` in `y ~ x`).
`indep.vars`	List independent variables for a two-sample Wilcoxon tests (`x` in `y ~ x`).
`grouping.vars`	List of grouping variables (if `NULL`, the entire dataframe will be used).
`paired`	A logical indicating whether you want a paired two-sample Wilcoxon tests (Default: `paired = FALSE`).
`correct`	A logical indicating whether to apply continuity correction in the normal approximation for the p-value (Default: `correct = TRUE`).

A tibble dataframe with tidy results from two-sample Wilcoxon tests analyses.

grouped_tidy

# for reproducibility
set.seed(123)

# only with one grouping variable
groupedstats::grouped_wilcox(
  data = dplyr::filter(.data = ggplot2::diamonds, color == "E" | color == "J"),
  dep.vars = depth:table,
  indep.vars = color,
  grouping.vars = clarity,
  paired = FALSE
)