Package: ANOPA 0.2.2
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:
ANOPA_0.2.2.tar.gz
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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')) |
Bug tracker:https://github.com/dcousin3/anopa/issues
Pkgdown site:https://dcousin3.github.io
- ArringtonEtAl2002 - Arrington et al. (2002) dataset
- ArticleExample1 - ArticleExample1
- ArticleExample2 - ArticleExample2
- ArticleExample3 - ArticleExample3
- minimalBSExample - A collection of minimal Examples from various designs with one or two factors.
- minimalMxExample - A collection of minimal Examples from various designs with one or two factors.
- minimalMxExampleCompiled - A collection of minimal Examples from various designs with one or two factors.
- minimalWSExample - A collection of minimal Examples from various designs with one or two factors.
- twoWayExample - A collection of minimal Examples from various designs with one or two factors.
- twoWayWithinExample - A collection of minimal Examples from various designs with one or two factors.
error-barsproportionsstatistical-testingstatisticssummary-statistics
Last updated 14 days agofrom:a8fd452c32. Checks:1 ERROR, 6 WARNING. Indexed: yes.
Target | Result | Latest binary |
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Doc / Vignettes | FAIL | Jan 19 2025 |
R-4.5-win | WARNING | Jan 19 2025 |
R-4.5-linux | WARNING | Jan 19 2025 |
R-4.4-win | WARNING | Jan 19 2025 |
R-4.4-mac | WARNING | Jan 19 2025 |
R-4.3-win | WARNING | Jan 19 2025 |
R-4.3-mac | WARNING | Jan 19 2025 |
Exports:AanopaanopaN2PoweranopaPlotanopaPower2NanopaProp2fsqAtransCI.AtransCI.propcontrastProportionscorrectedemProportionsexplainGRPposthocProportionsproprBernoulliSE.AtranssummarizetoCompiledtoLongtoWideuncorrectedunitaryAlphavar.AtransvarA
Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomeforeignfsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelsrmagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsrbibutilsRColorBrewerRcppRdpackreshape2rlangrrapplysassscalesshinyshinyBSsourcetoolsstringistringrsuperbtibbleutf8vctrsviridisLitewithrxtable