## Repeated Measures ANOVA

### Example usage

anovaRM(data=data, rm=list( list( label="When", levels=c("Before", "After"))), rmCells=list( list( measure="column 1", cell="Before"), list( measure="column 2", cell="After")))

### Arguments

data — the data as a data frame

rm — a list of lists, where each list describes the label (as a string) and the levels (as vector of strings) of a particular repeated measures factor

rmCells — a list of lists, where each list decribes a repeated measure (as a string) from data defined as measure and the particular combination of levels from rm that it belongs to (as a vector of strings) defined as cell

bs — a vector of strings naming the between subjects factors from data

cov — a vector of strings naming the covariates from data. Variables must be numeric

rmTerms — a list of character vectors describing the repeated measures terms to go into the model

bsTerms — a list of character vectors describing the between subjects terms to go into the model

ss — '2' or '3' (default), the sum of squares to use

effectSize — one or more of 'eta', 'partEta', or 'omega'; use η², partial η², and ω² effect sizes, respectively

spherTests — TRUE or FALSE (default), perform sphericity tests

spherCorr — one or more of 'none' (default), 'GG', or HF; use no p-value correction, the Greenhouse-Geisser p-value correction, and the Huynh-Feldt p-value correction for shericity, respectively

leveneTest — TRUE or FALSE (default), test for equality of variances (i.e., Levene's test)

contrasts — in development

postHoc — a list of character vectors describing the post-hoc tests that need to be computed

postHocCorr — one or more of 'none', 'tukey' (default), 'scheffe', 'bonf', or 'holm'; use no, Tukey, Scheffe, Bonferroni and Holm posthoc corrections, respectively

plotHAxis — a string naming the variable placed on the horizontal axis of the plot

plotSepLines — a string naming the variable represented as separate lines on the plot

plotSepPlots — a string naming the variable to separate over to form multiple plots

plotError — 'none', 'ci' (default), or 'se'. Use no error bars, use confidence intervals, or use standard errors on the plots, respectively

ciWidth — a number between 50 and 99.9 (default: 95) specifying the confidence interval width

descStats — TRUE or FALSE (default), provide descriptive statistics