Multivariate Exploratory Data Analysis and Data Mining
Overview
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).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 89includes a package overview page
- Examples that run
- 60%37 run in a plain check · 25 never run
- Exported functions with examples
- 65%
- Documented parameters
- 93%
- Return-value docs
- 63%
- Help pages citing references
- 18%
Downloads
Repository
- PRs merged (all time)
- 50%
- Median days to close, 50 most recently updated closed issues
- 3
- Median days to close, 50 most recently updated closed PRs
- 364
Stars over time
Forks over time
Issues over time
PRs over time
Commits over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/husson/factominer on 2026-10-22.
Dependencies
Installing FactoMineR adds 101 packages (53 with compiled code, 85 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.
Show the 48 most downloaded dependentsHide the 48 most downloaded dependents
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 3.0.1Latest
- RR 3.0.0 released · 2013-04-03
- 3.0.02013-03-12 · diff ↗ ·
removed 3 exports
AFDM, plot.AFDM, print.AFDMadded 10 exports
FAMD, autoLab, plot.FAMD, print.FAMD, print.HCPC, summary.CA, summary.FAMD, summary.MCA, summary.MFA, summary.PCA
Show 84 earlier eventsHide 84 earlier events
- 2.182026-10-14 · diff ↗
- 2.172026-09-08 · diff ↗
- 2.16
- 2.15.32013-02-12 · diff ↗
- 2.15.22012-10-01 · diff ↗
- 2.152026-06-11 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 2.14.22012-01-27 · diff ↗
- 2.142026-04-08 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 2.13.12011-07-06 · diff ↗
- 2.132026-01-12 · diff ↗
- 2.122025-07-23 · diff ↗
- RR 2.13.0 released · 2011-04-13
- RR 2.12.0 released · 2010-10-15
- 2.11.1
- 2.112024-04-20 · diff ↗
- RR 2.11.0 released · 2010-04-22
- RR 2.10.0 released · 2009-10-26
- RR 2.9.0 released · 2009-04-17
- 2.10.0
- 2.102024-02-29 · diff ↗
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- RR 2.8.0 released · 2008-10-20
- 2.8.02008-09-16 · diff ↗
- 2.82023-03-27 · diff ↗
- RR 2.7.0 released · 2008-04-22
- 2.7.02008-02-22 · diff ↗
- 2.72022-12-14 · diff ↗
- RR 2.6.0 released · 2007-10-03
- 2.6.02007-09-25 · diff ↗
- 2.62022-09-09 · diff ↗
- RR 2.5.0 released · 2007-04-24
- 2.5.0
- 2.52022-09-05 · diff ↗ ·
added 5 exports
LinearModel, meansComp, plot.meansComp, print.condes, print.LinearModel - RR 2.4.0 released · 2006-10-03
- 2.4.02006-09-09 · diff ↗
- 2.42020-12-11 · diff ↗
- 2.3.12006-05-30 · diff ↗
- 2.32020-02-29 · diff ↗
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- 2.12020-01-17 · diff ↗
- 2.02019-11-25 · diff ↗
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- 1.392017-11-10 · diff ↗
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- 1.362017-06-15 · diff ↗
- 1.352017-02-20 · diff ↗
- 1.342016-11-17 · diff ↗
- 1.332016-05-18 · diff ↗ ·
removed 3 exports
plot.spMCA, print.spMCA, spMCAadded 4 exports
predict.CA, predict.FAMD, predict.MCA, predict.PCA - 1.32
- 1.31.52016-01-07 · diff ↗
- 1.31.42015-10-10 · diff ↗
- 1.31.32015-07-09 · diff ↗
- 1.31.22015-07-06 · diff ↗
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- 1.21
- 1.202012-10-02 · diff ↗
- 1.19
- 1.182012-01-27 · diff ↗ ·
removed 2 exports
plot.GPApartial, plot.MFApartialadded 3 exports
plotGPApartial, plotMFApartial, tab.disjonctif.prop - 1.162011-07-07 · diff ↗
- 1.142010-05-10 · diff ↗
- 1.122009-04-26 · diff ↗
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- 1.03
- 1.022006-09-08 · diff ↗
- 1.012006-05-31 · diff ↗
- RR 2.3.0 released · 2006-04-24
- 1.002006-04-11
- RR 2.2.0 released · 2005-10-06
Package metadata
- First published
- 2006-04-11
- Total releases
- 72 / 20 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.3
- Bundled data
- 2.5 MB / 16 files
- Download size
- 2.7 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("FactoMineR")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v025.i01.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.