FactoMineR : An R Package for Multivariate Analysis

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...

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Bibliographic Details
Published in:Journal of statistical software 2008, Vol.25 (1), p.1-18
Main Authors: Lê, Sébastien, Josse, Julie, Husson, François
Format: Article
Language:English
Subjects:
graphical user interface
groups of individuals
groups of variables
hierarchy on variables
Mathematics
multivariate data analysis
Statistics
Statistics Theory
supplementary individuals
supplementary variables
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Description
Summary: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 informatio(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, graphical user interface is implemented within the Rcmdr environment in order to propose an user friendly package.
ISSN:1548-7660
1548-7660
DOI:10.18637/jss.v025.i01