es.anova.f: Cohen f effect size calculation for one- or two- way analysis...

In powertools: Power and Sample Size Tools

Cohen f effect size calculation for one- or two- way analysis of variance

Description

Calculates teh Cohen f effect size for a one- or two-way ANOVA. Takes as input the cell or group means for a one- or two-way ANOVA and the common standard deviation and outputs the f effect size, as defined by Cohen (1988). Note that this effect size calculation is only valid when cell/group sizes are equal.

Usage

es.anova.f(means = NULL, sd = NULL, v = TRUE)

Arguments

means	A vector or matrix of group means.
sd	The estimated standard deviation within each group.
v	Either TRUE for verbose output or FALSE to output computed argument only.

Details

Cohen J (1988) Statistical Power Analysis for the Behavioral Sciences, 2nd edition. Lawrence Erlbaum Associates, Hillsdale, New Jersey

Value

Various calculated f effect sizes.

Examples

es.anova.f(means = c(5, 10, 12), sd = 10)
mmatrix <- matrix(c(9.3, 8.9, 8.5, 8.7, 8.3, 7.9), nrow = 2, byrow = TRUE)
es.anova.f(means = mmatrix, sd = 2)

powertools documentation built on April 4, 2025, 5:02 a.m.