Package: FactoMineR 2.12
Francois Husson
FactoMineR: Multivariate Exploratory Data Analysis and Data Mining
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).
Authors:
FactoMineR_2.12.tar.gz
FactoMineR_2.12.zip(r-4.5)FactoMineR_2.12.zip(r-4.4)FactoMineR_2.12.zip(r-4.3)
FactoMineR_2.12.tgz(r-4.4-x86_64)FactoMineR_2.12.tgz(r-4.4-arm64)FactoMineR_2.12.tgz(r-4.3-x86_64)FactoMineR_2.12.tgz(r-4.3-arm64)
FactoMineR_2.12.tar.gz(r-4.5-noble)FactoMineR_2.12.tar.gz(r-4.4-noble)
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FactoMineR.pdf |FactoMineR.html✨
FactoMineR/json (API)
NEWS
# Install 'FactoMineR' in R: |
install.packages('FactoMineR', repos = c('https://husson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/husson/factominer/issues
- JO - Number of medals in athletism during olympic games per country
- children - Children
- decathlon - Performance in decathlon
- footsize - Footsize
- geomorphology - Geomorphology
- health - Health
- hobbies - Hobbies
- milk - Milk
- mortality - The cause of mortality in France in 1979 and 2006
- poison - Poison
- poison.text - Poison
- poulet - Genomic data for chicken
- senso - Senso
- tea - Tea
- wine - Wine
Last updated 3 months agofrom:c7db3638cc. Checks:OK: 7 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 14 2024 |
R-4.5-win-x86_64 | NOTE | Sep 14 2024 |
R-4.5-linux-x86_64 | NOTE | Sep 14 2024 |
R-4.4-win-x86_64 | OK | Sep 14 2024 |
R-4.4-mac-x86_64 | OK | Sep 14 2024 |
R-4.4-mac-aarch64 | OK | Sep 14 2024 |
R-4.3-win-x86_64 | OK | Sep 14 2024 |
R-4.3-mac-x86_64 | OK | Sep 14 2024 |
R-4.3-mac-aarch64 | OK | Sep 14 2024 |
Exports:AovSumautoLabCACaGaltcatdescoeffRVcondescoord.ellipsedescfreqdimdescDMFAellipseCAestim_ncpFAMDGPAgraph.varHCPCHMFALinearModelMCAmeansCompMFAPCAplot.CAplot.CaGaltplot.catdesplot.DMFAplot.FAMDplot.GPAplot.HCPCplot.HMFAplot.MCAplot.meansCompplot.MFAplot.PCAplotellipsesplotGPApartialplotMFApartialpredict.CApredict.FAMDpredict.MCApredict.MFApredict.PCAprefplsprint.AovSumprint.CAprint.CaGaltprint.catdesprint.condesprint.FAMDprint.GPAprint.HCPCprint.HMFAprint.LinearModelprint.MCAprint.MFAprint.PCAreconstRegBestsimulesummary.CAsummary.CaGaltsummary.FAMDsummary.MCAsummary.MFAsummary.PCAsvd.triplettab.disjonctiftab.disjonctif.proptextualwrite.infile
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefansifarverfastmapflashClustfontawesomefsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml