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jmv (version 0.7.0.3)

ancova: ANCOVA

Description

ANCOVA

Usage

ancova(data, dependent, fixedFactors = NULL, covariates = NULL,
  modelTerms = NULL, contrasts = NULL, descPlotsHAxis = NULL,
  descPlotsSepLines = NULL, descPlotsSepPlots = NULL, postHoc = NULL,
  corrTukey = FALSE, corrScheffe = FALSE, corrBonf = FALSE,
  corrHolm = FALSE, compMain = FALSE, compMainCorr = "none",
  descStats = FALSE, homo = FALSE, qq = FALSE, etaSq = FALSE,
  etaSqP = FALSE, omegaSq = FALSE, plotError = "ci", ciWidth = 95,
  ss = "3")

Arguments

data
the data as a data frame
dependent
a string naming the dependent variable in data
fixedFactors
The fixed factors
covariates
The covariates
modelTerms
The model terms
contrasts
.
descPlotsHAxis
The Horizontal axis variable
descPlotsSepLines
The Separate lines variable
descPlotsSepPlots
The Separate plots variable
postHoc
Post Hoc Tests
corrTukey
Post Hoc Tests Tukey Correction
corrScheffe
Post Hoc Tests Scheffe Correction
corrBonf
Post Hoc Tests Bonferroni Correction
corrHolm
Post Hoc Tests Holm Correction
compMain
Compare main effects
compMainCorr
Confidence interval adjustment
descStats
Descriptive statistics
homo
Display Homogeneity tests
qq
Display Q-Q plot of residuals
etaSq
Effect size n2
etaSqP
Effect size partial n2
omegaSq
Effect size w2
plotError
Specifies the Error Bar definition as either "Confidence interval"(default) or "Standard Error"
ciWidth
.
ss
Sum of squares