add_effect_sizes: Effect Sizes for Analysis of Variance

In papaja: Prepare American Psychological Association Journal Articles with R Markdown

Effect Sizes for Analysis of Variance

Description

Calculates effect-size measures for Analysis of Variance output objects. This function is not exported and will soon be deprecated.

Usage

add_effect_sizes(x, es = "ges", observed = NULL, intercept = FALSE)

Arguments

x	An object of class apa_variance_table.
es	Character. A vector naming all to-be-computed effect-size measures. Currently, partial eta-squared ("pes"), generalized eta-squared ("ges"), and eta-squared ("es") are supported.
observed	Character. A vector naming all factors that are observed (i.e., not manipulated).
intercept	Logical. Should the sum of squares of the intercept (i.e., the deviation of the grand mean from 0) be included in the calculation of eta-squared?

papaja documentation built on Oct. 30, 2024, 9:09 a.m.