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<b>FactoMineR</b> : An <i>R</i> Package for Multivariate Analysis

Sébastien Lê; Julie Josse; François Husson · Journal of Statistical Software · 2008

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In this article, we present <b>FactoMineR</b> an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categorical), different types of structure on the data (a partition on the variables, a hierarchy on the variables, a partition on the individuals) and finally supplementary information (supplementary individuals and variables). Moreover, the dimensions issued from the different exploratory data analyses can be automatically described by quantitative and/or categorical variables. Numerous graphics are also available with various options. Finally, a graphical user interface is implemented within the <b>Rcmdr</b> environment in order to propose an user friendly package.

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APA 7

Lê, S, Josse, J, & Husson, F. (2008). FactoMineR: An R Package for Multivariate Analysis. https://doi.org/10.18637/jss.v025.i01

MLA

Lê, Sébastien, et al. "FactoMineR: An R Package for Multivariate Analysis." 2008. https://doi.org/10.18637/jss.v025.i01.

Chicago

Lê, Sébastien, Julie Josse, and François Husson. 2008. "FactoMineR: An R Package for Multivariate Analysis.". https://doi.org/10.18637/jss.v025.i01.

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Lê, S, Josse, J. and Husson, F. 2008, FactoMineR: An R Package for Multivariate Analysis, Journal of Statistical Software, available at: https://doi.org/10.18637/jss.v025.i01 [Accessed 8 Aug. 2026].

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Title
<b>FactoMineR</b> : An <i>R</i> Package for Multivariate Analysis
Author / contributors
Sébastien Lê; Julie Josse; François Husson
Publisher
Journal of Statistical Software
Publication year
2008
Language
English

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