aovTable: aovTable

In psychReport: Reproducible Reports in Psychology

aovTable

Description

Adjust ezANOVA table output. Options include calculation of alternative effect sizes (eta squared, partial eta squared), the calculation of marginal means and formatting options for the ANOVA table (e.g., detailed, rounding).

Usage

aovTable(
  aovObj,
  effectSize = "pes",
  sphericityCorrections = TRUE,
  sphericityCorrectionType = "GG",
  sphericityCorrectionAdjDF = FALSE,
  removeSumSquares = TRUE
)

Arguments

aovObj	Output from aov or ezANOVA (NB. ezANOVA must be called with detailed = TRUE)
effectSize	Effect size (pes vs. ges)
sphericityCorrections	TRUE/FALSE (ezANOVA)
sphericityCorrectionType	"GG" (default) vs. "HF" (ezANOVA)
sphericityCorrectionAdjDF	TRUE/FALSE Should DF's values be corrected?
removeSumSquares	TRUE/FALSE Remove SSn/SSd columns from the ANOVA table

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"),
                              "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(500, 150, 150),
                           "Comp:Side incomp:right" = c(500, 150, 150)))

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

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

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