Usage
anovaRM(data, rm = list(list(label = "RM Factor 1", levels = list("Level 1", "Level 2"))), rmCells = NULL, bs = NULL, cov = NULL, rmTerms = NULL, bsTerms = NULL, ss = "3", effectSize, spherTests = FALSE, spherCorr = list("none"), leveneTest = FALSE, contrasts = NULL, postHoc = NULL, postHocCorr = list("tukey"), descPlotsHAxis = NULL, descPlotsSepLines = NULL, descPlotsSepPlots = NULL, descPlotsErrBar = "ci", descPlotsCIWidth = 95, dispDescStats = FALSE)
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
'1', '2' or '3' (default); the sum of
squares to use
effectSize
one or more of 'eta', 'partEta', or
spherTests
TRUE or FALSE (default), perform sphericity
tests
spherCorr
one or more of 'none' (default), 'GG', or
leveneTest
TRUE or FALSE (default), test for equality
of variances (i.e., Levene's test)
postHoc
a list of character vectors describing the post-hoc tests
that need to be computed
postHocCorr
one or more of 'tukey' (default),
'scheffe', 'bonf', or 'holm'; use Tukey, Scheffe,
Bonferroni and Holm posthoc corrections, respectively
descPlotsHAxis
a string naming the variable placed on the horizontal
axis of the plot
descPlotsSepLines
a string naming the variable represented as
separate lines on the plot
descPlotsSepPlots
a string naming the variable to separate over to
form multiple plots
descPlotsErrBar
'none', 'ci' (default), or
'se'. Use no error bars, use confidence intervals, or use standard
errors on the plots, respectively
descPlotsCIWidth
a number between 50 and 99.9 (default: 95)
specifying the confidence interval width
dispDescStats
TRUE or FALSE (default), provide
descriptive statistics