Package index • 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