group_compare: group_compare

In camkay/panoply: A Panoply of Miscellaneous Functions

group_compare

Description

Creates a group comparison table. It (1) calculates an overall mean and sd, as well as a mean and sd for each group, (2) runs a two-samples t-test comparing both groups, and (3) calculates Cohen's d.

Usage

group_compare(
  data,
  cols,
  split,
  var.equal = FALSE,
  adjust.p = "none",
  adjust.d = FALSE,
  spround = FALSE,
  spround.p = TRUE,
  collapse = FALSE,
  na.rm = TRUE
)

Arguments

data	a data frame.
cols	a vector of strings specifying what columns to compare.
split	a string indicating the column that includes the grouping variable.
var.equal	a logical value indicating whether equal variances should be assumed.
adjust.p	a string indicating what type of correction for multiple comparisons should be used. Defaults to "none."
adjust.d	if TRUE, adjusts for a small sample and returns Hedges' g intead of Cohen's D.
spround	a logical value indicating whether values should be rounded for printing.
spround.p	a logical value indicating whether, if spround = TRUE, p-values should also be sprounded. Defaults to TRUE.
collapse	a logical value indicating whether means and SDs should be combined using paste_paren.
na.rm	a logical value indicating whether 'NA' values should be removed prior to computation.

camkay/panoply documentation built on Jan. 17, 2025, 6:31 a.m.