etaSqP: Calculate Partial Eta Squared

In ccamp83/mu: R package for general statistical analysis of univariate and multivariate data

Calculate Partial Eta Squared

Description

Calculates the partial eta squared (η²p) effect size statistic from an F-value and its degrees of freedom. Partial eta squared represents the proportion of variance in the dependent variable that is associated with the independent variable, when controlling for other variables.

Usage

etaSqP(Fval, dfEffect, dfError)

Arguments

Fval	Numeric. The F statistic value
dfEffect	Numeric. Degrees of freedom for the effect
dfError	Numeric. Degrees of freedom for the error

Details

The formula used is: η²p = (F * df_effect) / (F * df_effect + df_error)

Partial eta squared values can be interpreted roughly as: * Small effect: ~0.01 * Medium effect: ~0.06 * Large effect: ~0.14

Value

Returns a numeric value between 0 and 1 representing the partial eta squared effect size

Examples

# Calculate partial eta squared for F(2,97) = 5.4
etaSqP(5.4, 2, 97)

ccamp83/mu documentation built on Nov. 7, 2024, 5:17 p.m.