CRAN/E | ANOPA

ANOPA

Analyses of Proportions using Anscombe Transform

Installation

About

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.

Citation ANOPA citation info
dcousin3.github.io/ANOPA/
Bug report File report

Key Metrics

Version 0.1.3
R ≥ 3.5.0
Published 2024-03-22 28 days ago
Needs compilation? no
License GPL-3
CRAN checks ANOPA results

Downloads

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Maintainer

Maintainer

Denis Cousineau

denis.cousineau@uottawa.ca

Authors

Denis Cousineau

aut / ctb / cre

Louis Laurencelle

aut / ctb

Material

README
NEWS
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

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