Package: FactoInvestigate 1.8

FactoInvestigate: Automatic Description of Factorial Analysis

Brings a set of tools to help and automatically realise the description of principal component analyses (from 'FactoMineR' functions). Detection of existing outliers, identification of the informative components, graphical views and dimensions description are performed threw dedicated functions. The Investigate() function performs all these functions in one, and returns the result as a report document (Word, PDF or HTML).

Authors:Simon Thuleau, Francois Husson

FactoInvestigate_1.8.tar.gz
FactoInvestigate_1.8.zip(r-4.5)FactoInvestigate_1.8.zip(r-4.4)FactoInvestigate_1.8.zip(r-4.3)
FactoInvestigate_1.8.tgz(r-4.4-any)FactoInvestigate_1.8.tgz(r-4.3-any)
FactoInvestigate_1.8.tar.gz(r-4.5-noble)FactoInvestigate_1.8.tar.gz(r-4.4-noble)
FactoInvestigate_1.8.tgz(r-4.4-emscripten)FactoInvestigate_1.8.tgz(r-4.3-emscripten)
FactoInvestigate.pdf |FactoInvestigate.html
FactoInvestigate/json (API)

# Install 'FactoInvestigate' in R:
install.packages('FactoInvestigate', repos = c('https://husson.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/husson/factoinvestigate/issues

On CRAN:

21 exports 1 stars 1.68 score 98 dependencies 1 dependents 2 mentions 58 scripts 2.8k downloads

Last updated 1 years agofrom:dc83690bfa. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-winNOTESep 08 2024
R-4.5-linuxNOTESep 08 2024
R-4.4-winOKSep 08 2024
R-4.4-macOKSep 08 2024
R-4.3-winOKSep 08 2024
R-4.3-macOKSep 08 2024

Exports:classifcreateRmddescriptiondimActivedimRestricteigenReffactoGraphgetParamgraphCAgraphHabgraphIndgraphSupgraphVarinertiaDistribInvestigateoutliersreadRmdscriptRmdselectionwhichFactowriteRmd

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomefsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml