Package: Factoshiny 2.8

Francois Husson
Factoshiny: Perform Factorial Analysis from 'FactoMineR' with a Shiny Application
Perform factorial analysis with a menu and draw graphs interactively thanks to 'FactoMineR' and a Shiny application.
Authors:
Factoshiny_2.8.tar.gz
Factoshiny_2.8.zip(r-4.7)Factoshiny_2.8.zip(r-4.6)Factoshiny_2.8.zip(r-4.5)
Factoshiny_2.8.tgz(r-4.6-any)Factoshiny_2.8.tgz(r-4.5-any)
Factoshiny_2.8.tar.gz(r-4.7-any)Factoshiny_2.8.tar.gz(r-4.6-any)
Factoshiny_2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Factoshiny/json (API)
| # Install 'Factoshiny' in R: |
| install.packages('Factoshiny', repos = c('https://husson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/husson/factoshiny/issues
Last updated from:03528dbbda. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 191 | ||
| source / vignettes | OK | 218 | ||
| linux-release-x86_64 | OK | 235 | ||
| macos-release-arm64 | OK | 147 | ||
| macos-oldrel-arm64 | OK | 121 | ||
| windows-devel | OK | 142 | ||
| windows-release | OK | 179 | ||
| windows-oldrel | OK | 196 | ||
| wasm-release | OK | 134 |
Exports:CAshinycatdesshinycondesshinyFactoshinyFAMDshinyHCPCshinyMCAshinyMFAshinyPCAshinyprint.CAshinyprint.FAMDshinyprint.HCPCshinyprint.MCAshinyprint.PCAshiny
Dependencies:abindbackportsbase64encbitbit64bootbroombslibcachemcarcarDataclicliprclustercodetoolscolorspacecolourpickercommonmarkcowplotcpp11crayoncrosstalkDerivdigestdoBydoParalleldplyrDTellipseemmeansestimabilityevaluateFactoInvestigateFactoMineRfarverfastmapflashClustfontawesomeforcatsforeachforecastFormulafracdifffsgenericsggplot2ggrepelglmnetgluegtablehavenhighrhmshtmltoolshtmlwidgetshttpuvirlbaisobanditeratorsjomojquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicemicrobenchmarkmimeminiUIminqamissMDAmitmlmodelrmultcompViewmvtnormnlmenloptrnnetnumDerivordinalotelpanpbkrtestpillarpkgconfigprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangrmarkdownrpartS7sassscalesscatterplot3dshapeshinyshinydashboardshinyjquishinyjssourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytextzdbucminfurcautf8vctrsviridisLitevroomwithrxfunxtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Perform classical factorial analysis from FactoMineR within a Shiny app ~~ Factoshiny ~~ | Factoshiny-package |
| Correspondance Analysis (CA) with Factoshiny | CAshiny |
| Categories description | catdesshiny |
| Continuous variable description | condesshiny |
| Choose the Factoshiny function to perform the analysis | Factoshiny |
| Factor Analysis for Mixed Data with Factoshiny | FAMDshiny |
| Hierarchical Clustering on Principal Components (HCPC) with Factoshiny | HCPCshiny |
| Multiple Correspondence Analysis (MCA) with Factoshiny | MCAshiny |
| Multiple Factor Analysis (MFA) with Factoshiny | MFAshiny |
| Principal Component Analysis (PCA) with FactoShiny | PCAshiny |
| Print the CAshiny results | print.CAshiny |
| Print the FAMDshiny results | print.FAMDshiny |
| Print the HCPCshiny results | print.HCPCshiny |
| Print the MCAshiny results | print.MCAshiny |
| Print the MFAshiny results | print.MFAshiny |
| Print the PCAshiny results | print.PCAshiny |