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Last data update: 2014.03.03

R: Calculates effect size indices based on Sums of Squares

modelEffectSizes

R Documentation

Calculates effect size indices based on Sums of Squares

Description

Calculates unique SSRs, SSE, SST. Based on these SSs, it calculates partial eta2 and delta R2 for all effects in a linear model object. For categorical variables coded as factors, it calculates these for multi-df effect. Manually code regressors to get 1 df effects Uses car::Anova() with Type 3 error

Usage

modelEffectSizes(Model, Print = TRUE, Digits = 4)

Arguments

`Model`	a linear model, produced by `lm`
`Print`	Display results to screen. Default = TRUE
`Digits`	Number of digits for printing effect sizes

Value

Returns a list with fields for effect sizes, SSE, and SST.

Author(s)

John J. Curtin jjcurtin@wisc.edu

Examples

m = lm(interlocks~assets+nation, data=Ornstein)
modelEffectSizes(m)