Multivariate Data Analysis

Simple Principal Components Analysis (PCA) and Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984) and Lebart et al. (2006) .


Reference manual

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0.2.2 by Nicolas Frerebeau, a month ago,

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Authors: Nicolas Frerebeau [aut, cre] , Jean-Baptiste Fourvel [ctb] , Brice Lebrun [ctb]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports ggplot2, methods, rlang

Suggests covr, folio, FactoMineR, ggrepel, khroma, testthat, vdiffr

Imported by tabula.

See at CRAN