Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Sébastien Lê, Julie Josse, François Husson
Title: FactoMineR: An R Package for Multivariate Analysis
Abstract: In this article, we present FactoMineR 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 Rcmdr environment in order to propose an user friendly package.

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Paper: FactoMineR: An R Package for Multivariate Analysis     Download PDF (Downloads: 21443)
FactoMineR_1.08.tar.gz: R source package Download (Downloads: 2672; 67KB)
RcmdrPlugin.FactoMineR_1.00.tar.gz: R source package Download (Downloads: 2190; 69KB) v25i01.R: R example code from the paper Download (Downloads: 3131; 1KB)

DOI: 10.18637/jss.v025.i01

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.