Package: ANOFA 0.1.3
ANOFA: Analyses of Frequency Data
Analyses of frequencies can be performed using an alternative test based on the G statistic. The test has similar type-I error rates and power as the chi-square test. However, it is based on a total statistic that can be decomposed in an additive fashion into interaction effects, main effects, simple effects, contrast effects, etc., mimicking precisely the logic of ANOVA. We call this set of tools 'ANOFA' (Analysis of Frequency data) to highlight its similarities with ANOVA. This framework also renders plots of frequencies along with confidence intervals. Finally, effect sizes and planning statistical power are easily done under this framework. The ANOFA is a tool that assesses the significance of effects instead of the significance of parameters; as such, it is more intuitive to most researchers than alternative approaches based on generalized linear models. See Laurencelle and Cousineau (2023) <doi:10.20982/tqmp.19.2.p173>.
Authors:
ANOFA_0.1.3.tar.gz
ANOFA_0.1.3.zip(r-4.5)ANOFA_0.1.3.zip(r-4.4)ANOFA_0.1.3.zip(r-4.3)
ANOFA_0.1.3.tgz(r-4.4-any)ANOFA_0.1.3.tgz(r-4.3-any)
ANOFA_0.1.3.tar.gz(r-4.5-noble)ANOFA_0.1.3.tar.gz(r-4.4-noble)
ANOFA_0.1.3.tgz(r-4.4-emscripten)ANOFA_0.1.3.tgz(r-4.3-emscripten)
ANOFA.pdf |ANOFA.html✨
ANOFA/json (API)
NEWS
| # Install 'ANOFA' in R: |
| install.packages('ANOFA', repos = c('https://dcousin3.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dcousin3/anofa/issues
- Detergent - Detergent data
- Gillet1993 - Gillet1993
- LandisBarrettGalvin2013 - LandisBarrettGalvin2013 data
- LightMargolin1971 - LightMargolin1971 data
- minimalExample - MinimalExample
Last updated 10 months agofrom:b4158a6da9. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 15 2024 |
| R-4.5-win | OK | Sep 15 2024 |
| R-4.5-linux | OK | Sep 15 2024 |
| R-4.4-win | OK | Sep 15 2024 |
| R-4.4-mac | OK | Sep 15 2024 |
| R-4.3-win | OK | Sep 15 2024 |
| R-4.3-mac | OK | Sep 15 2024 |
Exports:anofaanofaESanofaN2PoweranofaPlotanofaPower2NCI.countcontrastFrequenciescountemFrequenciesexplainGRFhas.cbind.termshas.nested.termsin.formulainit.countis.formulais.one.sidedsub.formulassummarizetoCompiledtoLongtoRawtoTabulartoWide
Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomeforeignfsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelsrmagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsrbibutilsRColorBrewerRcppRdpackrlangrrapplysassscalesshinyshinyBSsourcetoolsstringistringrsuperbtibbleutf8vctrsviridisLitewithrxtable
Confidence intervals with frequencies
Rendered fromConfidenceIntervals.Rmdusingknitr::rmarkdownon Sep 15 2024.Last update: 2023-11-14
Started: 2023-11-14
Data formats for frequencies
Rendered fromDataFormatsForFrequencies.Rmdusingknitr::rmarkdownon Sep 15 2024.Last update: 2023-11-14
Started: 2023-11-14
What is Analysis of Frequency Data?
Rendered fromWhatIsANOFA.Rmdusingknitr::rmarkdownon Sep 15 2024.Last update: 2023-11-14
Started: 2023-11-14
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| anofa: analysis of frequency data. | anofa |
| Computing effect size within the ANOFA. | anofaES |
| Computing power within the ANOFA. | anofaN2Power anofaPower2N |
| contrastFrequencies: contrasts analysis of frequency data. | contrastFrequencies |
| Converting between formats | conversion toCompiled toLong toRaw toTabular toWide |
| anofaPlot. | anofaPlot CI.count count init.count |
| Detergent data | Detergent |
| emFrequencies: simple effect analysis of frequency data. | emFrequencies |
| explain | explain |
| Gillet1993 | Gillet1993 |
| Generating random frequencies | GRF |
| logical functions for formulas | has.cbind.terms has.nested.terms in.formula is.formula is.one.sided sub.formulas |
| LandisBarrettGalvin2013 data | LandisBarrettGalvin2013 |
| LightMargolin1971 data | LightMargolin1971 |
| minimalExample | minimalExample |
| summarize | summarize |
