Package: ANOPA 0.1.3

ANOPA: Analyses of Proportions using Anscombe Transform

Analyses of Proportions can be performed on the Anscombe (arcsine-related) transformed data. The 'ANOPA' package can analyze proportions obtained from up to four factors. The factors can be within-subject or between-subject or a mix of within- and between-subject. The main, omnibus analysis can be followed by additive decompositions into interaction effects, main effects, simple effects, contrast effects, etc., mimicking precisely the logic of ANOVA. For that reason, we call this set of tools 'ANOPA' (Analysis of Proportion using Anscombe transform) to highlight its similarities with ANOVA. The 'ANOPA' framework also allows plots of proportions easy to obtain along with confidence intervals. Finally, effect sizes and planning statistical power are easily done under this framework. Only particularity, the 'ANOPA' computes F statistics which have an infinite degree of freedom on the denominator. See Laurencelle and Cousineau (2023) <doi:10.3389/fpsyg.2022.1045436>.

Authors:Denis Cousineau [aut, ctb, cre], Louis Laurencelle [aut, ctb]

ANOPA_0.1.3.tar.gz
ANOPA_0.1.3.zip(r-4.5)ANOPA_0.1.3.zip(r-4.4)ANOPA_0.1.3.zip(r-4.3)
ANOPA_0.1.3.tgz(r-4.4-any)ANOPA_0.1.3.tgz(r-4.3-any)
ANOPA_0.1.3.tar.gz(r-4.5-noble)ANOPA_0.1.3.tar.gz(r-4.4-noble)
ANOPA_0.1.3.tgz(r-4.4-emscripten)ANOPA_0.1.3.tgz(r-4.3-emscripten)
ANOPA.pdf |ANOPA.html
ANOPA/json (API)
NEWS

# Install 'ANOPA' in R:
install.packages('ANOPA', repos = c('https://dcousin3.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/dcousin3/anopa/issues

Datasets:

On CRAN:

error-barsproportionsstatistical-testingstatisticssummary-statistics

4.78 score 1 stars 1 scripts 188 downloads 26 exports 61 dependencies

Last updated 8 months agofrom:7689f57477. Checks:OK: 7. Indexed: yes.

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Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:AanopaanopaN2PoweranopaPlotanopaPower2NanopaProp2fsqAtransCI.AtransCI.propcontrastProportionscorrectedemProportionsexplainGRPposthocProportionsproprBernoulliSE.AtranssummarizetoCompiledtoLongtoWideuncorrectedunitaryAlphavar.AtransvarA

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomeforeignfsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelsrmagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsrbibutilsRColorBrewerRcppRdpackrlangrrapplysassscalesshinyshinyBSsourcetoolsstringistringrsuperbtibbleutf8vctrsviridisLitewithrxtable

Analyzing proportions with the Arrington et al. 2002 example

Rendered fromD-ArringtonExample.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2024-03-19
Started: 2024-03-17

Confidence intervals with proportions

Rendered fromC-ConfidenceIntervals.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2024-03-19
Started: 2024-03-17

Data formats for proportions

Rendered fromB-DataFormatsForProportions.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2024-03-19
Started: 2024-03-17

Is the ArcSine transformation so asinine in the end?

Rendered fromE-ArcsineIsAsinine.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2024-03-17
Started: 2024-03-17

Testing type-I error rates

Rendered fromF-TestingTypeIError.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2024-03-19
Started: 2024-03-17

What is an Analysis of Proportions using the Anscombe Transform?

Rendered fromA-WhatIsANOPA.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2024-03-17
Started: 2024-03-17

Readme and manuals

Help Manual

Help pageTopics
transformation functionsA Atrans CI.Atrans CI.prop prop SE.Atrans var.Atrans varA
ANOPA: analysis of proportions using Anscombe transform.anopa
anopaPlot: Easy plotting of proportions.anopaPlot anopa_asn_trans1
Computing power within the ANOPA.anopaN2Power anopaPower2N anopaProp2fsq
Arrington et al. (2002) datasetArringtonEtAl2002
ArticleExample1ArticleExample1
ArticleExample2ArticleExample2
ArticleExample3ArticleExample3
contrastProportion: analysis of contrasts between proportions using Anscombe transform.contrastProportions
Converting between formatsconversion toCompiled toLong toWide
correctedcorrected
emProportions: simple effect analysis of proportions.emProportions
explainexplain
A collection of minimal Examples from various designs with one or two factors.minimalBSExample minimalExamples minimalMxExample minimalWSExample twoWayExample twoWayWithinExample
posthocProportions: post-hoc analysis of proportions.posthocProportions
Generating random proportions with GRPGRP gSwitch rBernoulli
summarizesummarize
uncorrecteduncorrected
unitary alphaunitaryAlpha