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) .


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install.packages("dimensio")

0.2.1 by Nicolas Frerebeau, 12 hours ago


https://dimensio.tesselle.org, https://github.com/tesselle/dimensio


Report a bug at https://github.com/tesselle/dimensio/issues


Browse source code at https://github.com/cran/dimensio


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