hedges_g: Compute Effect Sizes for Pairwise Comparisons

In benediktclaus/costatcompanion: The Companion for Your Journey into the Chamber of Statistics

Description

This function computes pairwise independent effect sizes (Hedges' g and g*) for a continuous variable based on a grouping variable.

Usage

hedges_g(
  data,
  id = NULL,
  grouping_factor,
  variable,
  paired = FALSE,
  detailed = FALSE
)

Arguments

data	Data frame containing the data
id	Subject identifier
grouping_factor	Factor, used for the comparisons between groups
variable	Numeric, the dependent variable
paired	Indicator, if repeated measures effect sizes should be used. Default is FALSE.
detailed	Indicator, if detailed information (such as means, standard deviations, etc.) should be returned. Default ist FALSE

Value

A tibble

Examples

hedges_g(data = phantasialand, grouping_factor = backpack, variable = joy)

benediktclaus/costatcompanion documentation built on Nov. 23, 2020, 7:01 a.m.