Package: rosetta 0.3.12
Gjalt-Jorn Peters
rosetta: Parallel Use of Statistical Packages in Teaching
When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats website (<https://rosettastats.com>) allows comparing analyses in different packages. This package is the companion to the Rosetta Stats website, aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics.
Authors:
rosetta_0.3.12.tar.gz
rosetta_0.3.12.tar.gz(r-4.5-noble)rosetta_0.3.12.tar.gz(r-4.4-noble)
rosetta_0.3.12.tgz(r-4.4-emscripten)rosetta_0.3.12.tgz(r-4.3-emscripten)
rosetta.pdf |rosetta.html✨
rosetta/json (API)
| # Install 'rosetta' in R: |
| install.packages('rosetta', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/r-packages/rosetta
- cpbExample - A test dataset
- pp15 - Subsets of the Party Panel 2015 dataset
Last updated 2 years agofrom:6b4024c533. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux | NOTE | Nov 04 2024 |
Exports:buildModMedSemModelcat0confIntSDcrossTabdescrdescriptiveCIsdlvPlotdlvThemeexamineexamineByexportToSPSSfactorAnalysisfactorAnalysisjmvfanovafilterByformatPvalueformatRfreqfreqjmvfrequenciesgemmgetDatgetDataggBarChartggBoxplotggqqggScatterPlothistogramidSluglogRegrmeanDiffmeanDiff.multimeansmediaanmodusonewayoptsplotIMMplotIMM3dplotSSposthocTGHprepIMM3dprepPlotIMMprepPlotSSprincipalComponentAnalysisrandomSlugrecoderegrreliabilityrepeatStrrepStrrMatrixrosettaDataReduction_partialrosettaDescr_partialrosettaLogRegr_partialrosettaRegr_partialrosettaReliability_partialscatterMatrixscatterPlotsumsuseAllvarViewvecTxtvecTxtBvecTxtMvecTxtQ
Dependencies:abindbackportsbase64encbayestestRbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11datawizardDerivdigestdiptestdoBydplyreffectsizeevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2ggrepelggridgesglueGPArotationgridExtragtablehighrhtmltoolsinsightisobandjquerylibjsonlitekableExtraknitrlabelinglatticelavaanlifecyclelme4lmerTestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamnormtmodelrmultcompViewmunsellnlmenloptrnnetnumDerivpanderparameterspbivnormpbkrtestperformancepillarpkgconfigplyrpsychpurrrpwrquadprogquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrmdpartialsrstudioapisassscalessjstatsSparseMstringistringrSuppDistssurvivalsvglitesystemfontstibbletidyrtidyselecttinytexufsutf8vctrsviridisLitewithrxfunxml2yaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Builds model for moderated mediation anaysis using SEM | buildModMedSemModel |
| Concatenate to screen without spaces | cat0 |
| Confidence interval for standard deviation | confIntSD |
| A test dataset | cpbExample |
| Cross tables | confIntV cramersV crossTab pander.crossTab print.crossTab |
| descr (or descriptives) | descr descriptives knit_print.rosettaDescr print.rosettaDescr rosettaDescr_partial |
| Descriptives with confidence intervals | descriptiveCIs print.rosettaDescriptiveCIs |
| dlvPlot | dlvPlot dlvTheme print.dlvPlot |
| Examine one or more variables | examine examineBy pander.examine pander.examineBy print.examine print.examineBy |
| Basic SPSS translation functions | basicSPSStranslation exportToSPSS filterBy getDat getData mediaan modus useAll |
| Factor analysis or principal component analysis | dataReduction factorAnalysis knit_print.rosettaDataReduction principalComponentAnalysis print.rosettaDataReduction rosettaDataReduction_partial |
| Factor Analysis | factorAnalysisjmv |
| Flexible anova | fanova print.fanova |
| Pretty formatting of _p_ values | formatPvalue |
| Pretty formatting of correlation coefficients | formatR |
| Frequency tables | freq frequencies Frequency pander.freq pander.frequencies print.freq print.frequencies |
| Frequencies | freqjmv |
| Analyze moderated mediation model using SEM | gemm |
| Bar chart using ggplot | ggBarChart |
| Box plot using ggplot | ggBoxplot |
| Easy ggplot Q-Q plot | ggqq |
| Bar chart using ggplot | ggScatterPlot |
| Simple function to create a histogram | histogram |
| Userfriendly wrapper to do logistic regression in R | knit_print.rosettaLogRegr logRegr print.rosettaLogRegr rosettaLogRegr_partial |
| meanDiff | meanDiff pander.meanDiff print.meanDiff |
| meanDiff.multi | meanDiff.multi print.meanDiff.multi |
| Compute means and sums | means sums |
| oneway | oneway pander.oneway print.oneway |
| Options for the rosetta package | get opts reset set |
| Subsets of the Party Panel 2015 dataset | partypanelData pp15 |
| Makes plot of Index of Moderated Mediation of gemm object | plotIMM |
| Makes 3D plots of Index of Moderated Mediation of gemm object | plotIMM3d |
| Makes simple slope plots of gemm object | plotSS |
| posthocTGH | posthocTGH print.posthocTGH |
| Computes Index of moderated mediation of gemm object | prepIMM3d |
| Makes Index of Mediated Moderated plots | prepPlotIMM |
| Makes simple slope plots | prepPlotSS |
| print method of object of class gemm | print.gemm |
| Generate a random slug | idSlug randomSlug |
| Recode a Variable ('car' version) | recode |
| regr: a simple regression analysis wrapper | knit_print.rosettaRegr pander.rosettaRegr print.rosettaRegr regr rosettaRegr_partial |
| Conduct reliability analyses with output similar to jamovi and SPSS | knit_print.rosettaReliability print.rosettaReliability reliability reliability,print.reliability rosettaReliability_partial |
| Repeat a string a number of times | repeatStr repStr |
| Correlation matrix | print.rMatrix rMatrix |
| Scatter Matrix | scatterMatrix |
| Easy ggplot2 scatter plots | scatterPlot |
| Variable View | print.rosettaVarView varView |
| Easily parse a vector into a character value | vecTxt vecTxtB vecTxtM vecTxtQ |