
Last chance! 50% off unlimited learning
Sale ends in
anova(data, dependent, fixedFactors = NULL, modelTerms = NULL, contrasts = NULL, descPlotsHAxis = NULL, descPlotsSepLines = NULL, descPlotsSepPlots = NULL, postHoc = NULL, corrNone = FALSE, corrTukey = TRUE, corrScheffe = FALSE, corrBonf = FALSE, corrHolm = FALSE, descStats = FALSE, homo = FALSE, qq = FALSE, etaSq = FALSE, etaSqP = FALSE, omegaSq = FALSE, plotError = "ci", ciWidth = 95, ss = "3")
data
,
variable must be numericdata
TRUE
or FALSE
(default), provide uncorrected
p-values in post-hoc testsTRUE
(default) or FALSE
, perform Tukey
correction in post-hoc testsTRUE
or FALSE
(default), perform Scheffe
correction in post-hoc testsTRUE
or FALSE
(default), perform Bonferroni
correction in post-hoc testsTRUE
or FALSE
(default), perform Holm
correction in post-hoc testsTRUE
or FALSE
(default), provide descriptive
statisticsTRUE
or FALSE
(default), perform homogeneity
testsTRUE
or FALSE
(default), provide a Q-Q plot of
residualsTRUE
or FALSE
(default), provide eta² (effect
size)TRUE
or FALSE
(default), provide partial eta²
(effect size)TRUE
or FALSE
(default), provide omega²
(effect size)'ci'
or 'se'
, use confidence intervals or
standard errors on the plot'1'
, '2'
or '3'
(default), the sum of
squares to use