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FactoMineR
Multivariate Exploratory Data Analysis and Data Mining
View on CRAN: Click
here
Download and install FactoMineR package within the R console
Install from CRAN:
install.packages("FactoMineR")
Install from Github:
library("remotes")
install_github("cran/FactoMineR") Install by package version:
library("remotes")
install_version("FactoMineR", "2.17") Attach the package and use:
library("FactoMineR")
Maintained by
Francois Husson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-04-11
Latest Update: 2025-07-23
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).
How to cite:
Francois Husson (2006). FactoMineR: Multivariate Exploratory Data Analysis and Data Mining. R package version 2.17, https://cran.r-project.org/web/packages/FactoMineR. Accessed 26 Oct. 2026.
Previous versions and publish date:
1.00 (2006-04-11 17:14), 1.01 (2006-05-31 09:02), 1.02 (2006-09-08 14:24), 1.03 (2007-02-15 13:28), 1.04 (2007-02-26 10:36), 1.05 (2007-04-06 16:21), 1.07 (2007-10-07 10:29), 1.08 (2008-02-22 15:25), 1.09 (2008-07-12 20:11), 1.10 (2008-09-16 09:20), 1.12 (2009-04-26 16:21), 1.14 (2010-05-10 21:27), 1.16 (2011-07-07 10:07), 1.18 (2012-01-27 16:13), 1.19 (2012-06-27 15:25), 1.20 (2012-10-02 08:51), 1.21 (2013-01-14 18:27), 1.23 (2013-02-12 18:08), 1.24 (2013-03-29 18:47), 1.25 (2013-05-09 19:08), 1.26 (2014-04-09 14:02), 1.27 (2014-08-28 09:01), 1.28 (2014-12-12 10:56), 1.29 (2015-02-06 11:10), 1.30 (2015-06-15 19:14), 1.31.2 (2015-07-06 19:00), 1.31.3 (2015-07-09 14:29), 1.31.4 (2015-10-10 00:21), 1.31.5 (2016-01-07 14:13), 1.32 (2016-02-24 15:47), 1.33 (2016-05-18 10:36), 1.34 (2016-11-17 14:34), 1.35 (2017-02-20 15:12), 1.36 (2017-06-15 02:17), 1.38 (2017-10-07 18:20), 1.39 (2017-11-10 12:43), 1.40 (2018-03-28 10:18), 1.41 (2018-05-04 15:19), 1.42 (2019-07-03 12:20), 2.0 (2019-11-25 16:50), 2.1 (2020-01-17 19:20), 2.2 (2020-02-05 18:10), 2.3 (2020-02-29 16:20), 2.4 (2020-12-11 12:40), 2.5 (2022-09-05 19:00), 2.6 (2022-09-09 12:53), 2.7 (2022-12-14 17:50), 2.8 (2023-03-27 10:50), 2.9 (2023-10-13 00:40), 2.10 (2024-02-29 20:52), 2.11 (2024-04-20 10:42), 2.12 (2025-07-23 16:40), 2.13 (2026-01-12 12:50), 2.14 (2026-04-08 12:50), 2.15 (2026-06-11 11:00), 2.16 (2026-07-03 01:00), 2.17 (2026-09-08 07:21), (2026-10-14 10:20)
Other packages that cited FactoMineR R package
View FactoMineR citation profile
Other R packages that FactoMineR depends,
imports, suggests or enhances
Complete documentation for FactoMineR
Functions, R codes and Examples using
the FactoMineR R package
Some associated functions: AovSum . CA . CaGalt . DMFA . FAMD . FactoMineR-package . HCPC . HMFA . JO . LinearModel . MCA . MFA . PCA . RegBest . autoLab . catdes . children . coeffRV . condes . coord.ellipse . decathlon . desfreq . dimdesc . ellipseCA . estim_ncp . footsize . geomorphology . gpa . graph.var . health . hobbies . meansComp . milk . mortality . plot.CA . plot.CaGalt . plot.DMFA . plot.FAMD . plot.GPA . plot.GPApartial . plot.HCPC . plot.HMFA . plot.MCA . plot.MFA . plot.MFApartial . plot.PCA . plot.catdes . plot.meansComp . plotellipses . poison . poison.text . poulet . predict.CA . predict.FAMD . predict.LinearModel . predict.MCA . predict.MFA . predict.PCA . prefpls . print.AovSum . print.CA . print.CaGalt . print.FAMD . print.GPA . print.HCPC . print.HMFA . print.LinearModel . print.MCA . print.MFA . print.PCA . print.catdes . print.condes . reconst . senso . simule . summary.CA . summary.CaGalt . summary.FAMD . summary.MCA . summary.MFA . summary.PCA . svd.triplet . tab.disjonctif . tab.disjonctif.prop . tea . textual . wine . write.infile .
Some associated R codes: CA.R . CaGalt.R . DMFA.R . FAMD.R . GPA.R . HCPC.R . HMFA.R . LinearModel.R . MCA.R . MFA.R . PCA.R . autoLab.R . coeffRV.R . coord.ellipse.R . descfreq.R . ellipseCA.R . graph.var.R . meansComp.R . plot.CA.R . plot.CaGalt.R . plot.DMFA.R . plot.FAMD.R . plot.GPA.R . plot.HCPC.R . plot.HMFA.R . plot.MCA.R . plot.MFA.R . plot.PCA.R . plot.catdes.R . plot.meansComp.R . plotGPApartial.R . plotMFApartial.R . predict.CA.R . predict.FAMD.R . predict.LinearModel.R . predict.MCA.R . predict.MFA.R . predict.PCA.R . print.AovSum.R . print.CA.R . print.CaGalt.R . print.FAMD.R . print.GPA.R . print.HCPC.R . print.HMFA.R . print.LinearModel.R . print.MCA.R . print.MFA.R . print.PCA.R . print.catdes.R . print.condes.R . print.dimdesc.R . reconst.R . summary.CaGalt.R . svd.triplet.R . tab.disjonctif.R . tab.disjonctif.prop.R . write.infile.R . zz.R . Full FactoMineR package functions and examples
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