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Multivariate analysis of mixed data: The PCAmixdata R package

Abstract : Mixed data type arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends standard multivariate analysis methods to incorporate this type of data. The key techniques included in the package are PCAmix (PCA of a mixture of numerical and categorical variables), PCArot (rotation in PCAmix) and MFAmix (multiple factor analysis with mixed data within a dataset). A synthetic presentation of the three algorithms will be provided and the three main procedures will be illustrated on real data composed of four datasets caracterizing conditions of life of cities of Gironde, a south-west region of France.
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https://hal.inria.fr/hal-01246858
Contributor : Marie Chavent <>
Submitted on : Sunday, December 20, 2015 - 8:42:03 AM
Last modification on : Saturday, May 1, 2021 - 3:43:38 AM

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Marie Chavent, Vanessa Kuentz, Amaury Labenne, Jerome Saracco. Multivariate analysis of mixed data: The PCAmixdata R package. The useR! Conference 2015, Jun 2015, Aalborg, Denmark. ⟨hal-01246858⟩

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