lmSupport (version 2.9.13)

modelEffectSizes: 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.

See Also

Anova()

Examples

# NOT RUN {
##NOT RUN
##m = lm(FPS~BAC+TA, data=BAC)
##modelEffectSizes(m)
# }