Function reference • ANOPA

Main functions Main functions to perform an ANOPA analysis.
`anopa()`	ANOPA: analysis of proportions using Anscombe transform.
`anopaPlot()`	anopaPlot: Easy plotting of proportions.
`emProportions()`	emProportions: simple effect analysis of proportions.
`contrastProportions()`	contrastProportion: analysis of contrasts between proportions using Anscombe transform.
`posthocProportions()`	posthocProportions: post-hoc analysis of proportions.
`anopaPower2N()` `anopaN2Power()` `anopaProp2fsq()`	Computing power within the ANOPA.
`GRP()` `rBernoulli()`	Generating random proportions with GRP
Subsidiary functions These subsidiary functions perform useful tasks.
`A()` `varA()` `Atrans()` `SE.Atrans()` `var.Atrans()` `CI.Atrans()` `prop()` `CI.prop()`	transformation functions
`explain()`	explain
`summarize()`	summarize
`corrected()`	corrected
`uncorrected()`	uncorrected
`toWide()` `toLong()` `toCompiled()`	Converting between formats
`unitaryAlpha()`	unitary alpha
Datasets Examples of data sets, ficticious, found in the main article, or from a real dataset.
`minimalBSExample` `twoWayExample` `minimalWSExample` `twoWayWithinExample` `minimalMxExample` `minimalMxExampleCompiled`	A collection of minimal Examples from various designs with one or two factors.
`ArticleExample1`	ArticleExample1
`ArticleExample2`	ArticleExample2
`ArticleExample3`	ArticleExample3
`ArringtonEtAl2002`	Arrington et al. (2002) dataset

Reference