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:
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')) |
Bug tracker:https://github.com/dcousin3/anopa/issues
- 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.
- 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 8 months agofrom:7689f57477. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:AanopaanopaN2PoweranopaPlotanopaPower2NanopaProp2fsqAtransCI.AtransCI.propcontrastProportionscorrectedemProportionsexplainGRPposthocProportionsproprBernoulliSE.AtranssummarizetoCompiledtoLongtoWideuncorrectedunitaryAlphavar.AtransvarA
Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomeforeignfsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelsrmagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsrbibutilsRColorBrewerRcppRdpackrlangrrapplysassscalesshinyshinyBSsourcetoolsstringistringrsuperbtibbleutf8vctrsviridisLitewithrxtable
Analyzing proportions with the Arrington et al. 2002 example
Rendered fromD-ArringtonExample.Rmd
usingknitr::rmarkdown
on Nov 04 2024.Last update: 2024-03-19
Started: 2024-03-17
Confidence intervals with proportions
Rendered fromC-ConfidenceIntervals.Rmd
usingknitr::rmarkdown
on Nov 04 2024.Last update: 2024-03-19
Started: 2024-03-17
Data formats for proportions
Rendered fromB-DataFormatsForProportions.Rmd
usingknitr::rmarkdown
on Nov 04 2024.Last update: 2024-03-19
Started: 2024-03-17
Is the ArcSine transformation so asinine in the end?
Rendered fromE-ArcsineIsAsinine.Rmd
usingknitr::rmarkdown
on Nov 04 2024.Last update: 2024-03-17
Started: 2024-03-17
Testing type-I error rates
Rendered fromF-TestingTypeIError.Rmd
usingknitr::rmarkdown
on 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.Rmd
usingknitr::rmarkdown
on Nov 04 2024.Last update: 2024-03-17
Started: 2024-03-17