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Cited by 11,603

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FactoMineR : An R Package for Multivariate Analysis

Open access
Lê, Sébastien, Josse, Julie, Husson, François·2008·Journal of Statistical Software

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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Metadata

Authors
Lê, S., Josse, J., & Husson, F.
Venue
Journal of Statistical Software
Published
2008
Volume
25
Issue
1
ISSN
1548-7660 (ISSN-L)
OpenAlex
W2153947402
Cited by
11,603
References
1
FWCI
43.99
Type
journal article
Language
en
Open access
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