FactoMineR
Multivariate Exploratory Data Analysis and Data Mining
v2.13
·
Jan 12, 2026
·
GPL (>= 2)
Description
Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
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| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
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r-oldrel-macos-arm64
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r-patched-linux-x86_64
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
Reverse Dependencies (68)
imports
CAinterprTools
CINNA
ClustBlock
Compind
FactoInvestigate
FishDiveR
GDAtools
HistDAWass
HotellingEllipse
Indicator
MLGL
NaileR
OTrecod
PolisheR
RSDA
RVAideMemoire
SPARTAAS
SQI
SensMap
UEI
clusterMI
discoveR
factoextra
ggfacto
gspcr
interca
inti
mFD
mimi
missMDA
packMBPLSDA
pcvr
phoenics
rKOMICS
rYWAASB
suRface.analytics
tetraclasse
tidymodlr
uHMM
visualpred
wilson
Dependency Network
Version History
new
2.13
Mar 9, 2026