An ExPosition of multivariate analysis with the singular value decomposition in R

Authors:
Derek Beaton;Cherise R. Chin Fatt;Hervé Abdi
Affiliations:
-;-;-
Venue:
Computational Statistics & Data Analysis
Year:
2014

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Abstract

ExPosition is a new comprehensive R package providing crisp graphics and implementing multivariate analysis methods based on the singular value decomposition (svd). The core techniques implemented in ExPosition are: principal components analysis, (metric) multidimensional scaling, correspondence analysis, and several of their recent extensions such as barycentric discriminant analyses (e.g., discriminant correspondence analysis), multi-table analyses (e.g.,multiple factor analysis, Statis, and distatis), and non-parametric resampling techniques (e.g., permutation and bootstrap). Several examples highlight the major differences between ExPosition and similar packages. Finally, the future directions of ExPosition are discussed.