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>.

Version:	0.1.3
Depends:	R (≥ 3.5.0)
Imports:	superb (≥ 0.95.0), Rdpack (≥ 0.7), ggplot2 (≥ 3.1.0), scales (≥ 1.2.1), stats, rrapply, utils, plyr (≥ 1.8.4)
Suggests:	rmarkdown, testthat, knitr
Published:	2024-03-22
DOI:	10.32614/CRAN.package.ANOPA
Author:	Denis Cousineau [aut, ctb, cre], Louis Laurencelle [aut, ctb]
Maintainer:	Denis Cousineau <denis.cousineau at uottawa.ca>
BugReports:	https://github.com/dcousin3/ANOPA/issues/
License:	GPL-3
URL:	https://dcousin3.github.io/ANOPA/
NeedsCompilation:	no
Citation:	ANOPA citation info
Materials:	README NEWS
CRAN checks:	ANOPA results

Documentation:

Reference manual:	ANOPA.pdf
Vignettes:	What is an Analysis of Proportions using the Anscombe Transform? Data formats for proportions Confidence intervals with proportions Analyzing proportions with the Arrington et al. 2002 example Is the ArcSine transformation so asinine in the end? Testing type-I error rates

Downloads:

Package source:	ANOPA_0.1.3.tar.gz
Windows binaries:	r-devel: ANOPA_0.1.3.zip, r-release: ANOPA_0.1.3.zip, r-oldrel: ANOPA_0.1.3.zip
macOS binaries:	r-release (arm64): ANOPA_0.1.3.tgz, r-oldrel (arm64): ANOPA_0.1.3.tgz, r-release (x86_64): ANOPA_0.1.3.tgz, r-oldrel (x86_64): ANOPA_0.1.3.tgz

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