aovEffectSize: aovEffectSize

In psychReport: Reproducible Reports in Psychology

aovEffectSize

Description

Add effect size to ANOVA table. Effect sizes: partial eta squared (pes), vs. ges (generalized eta squared, NB: default when using ezANOVA).

Usage

aovEffectSize(aovObj, effectSize = "pes")

Arguments

aovObj	Output from aov or ezANOVA
effectSize	Effect size (pes vs. ges)

Value

list

Examples

# Example 1:
# create dataframe with 2(Comp: comp vs. incomp) and 2(Side: left vs. right) factors/levels
dat <- createDF(nVP = 20, nTrl = 1,
                design = list("Comp" = c("comp", "incomp", "neutral"),
                              "Side" = c("left", "right")))

dat <- addDataDF(dat,
                 RT = list("Comp:Side comp:left"     = c(500, 150, 150),
                           "Comp:Side comp:right"    = c(500, 150, 150),
                           "Comp:Side incomp:left"   = c(550, 150, 150),
                           "Comp:Side incomp:right"  = c(550, 150, 150),
                           "Comp:Side neutral:left"  = c(525, 150, 150),
                           "Comp:Side neutral:right" = c(525, 150, 150)))

aovRT <- aov(RT ~ Comp * Side + Error(VP/(Comp*Side)), dat)
aovDispMeans(aovRT)
aovRT <- aovEffectSize(aovRT)
aovRT <- aovDispTable(aovRT)

# or with ezANOVA
library(ez)
aovRT <- ezANOVA(dat, dv=.(RT), wid = .(VP), within = .(Comp, Side),
                 return_aov = TRUE, detailed = TRUE)
aovRT <- aovEffectSize(aovRT)
aovDispTable(aovRT)

psychReport documentation built on Sept. 9, 2022, 5:08 p.m.