Two-sample Wilcoxon test — two_wilcoxon

Perform the Wilcoxon rank sum to compare two groups

Usage

two_wilcoxon_inference(
  formula,
  data,
  alternative = c("two.sided", "less", "greater"),
  null = 0,
  conf.level = 0.95,
  conf.adjust = 1
)

pairwise_wilcoxon_inference(
  formula,
  data,
  adjust = c("bonferroni", "holm", "none"),
  reverse = FALSE,
  ...
)

Arguments

formula: a formula of the form y ~ x, where y is a numeric variable and x is a factor variable. To perform test within subgroups, use y ~ x | g, where x and g are factor variables.
data: a data frame containing the values in the formula.
alternative: character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".
null: a number specifying the null proportion for testing a null hypothesis; if not specified, no hypothesis test is performed.
conf.level: confidence level of the returned confidence interval. Must be a single number between 0 and 1.
conf.adjust: adjust confidence bounds for conf.adjust simultaneous intervals using the Bonferroni method. Used internally by pairwise_wilcox_inference; should only rarely be used by users.
adjust: method of adjusting p-values for multiple comparisons, one of "bonferroni", "holm", or "none".
reverse: reverse the direction of pairwise comparisons.
...: further arguments to be passed to submethods, as appropriate.