Graphical Tools of Histogram PCA

Histogram principal components analysis is the generalization of the PCA. Histogram data are adapted to design complex and big data which histograms used as variables (big data adapter). Functions implemented provides numerical and graphical tools of an extension of PCA. Sun Makosso Kallyth (2016) . Sun Makosso Kallyth and Edwin Diday (2012) .


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install.packages("GraphPCA")

1.1 by Brahim Brahim, 9 months ago


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


Authors: Brahim Brahim <[email protected]> and Sun Makosso-Kallyth <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2, FactoMineR, scatterplot3d, ggplot2movies


See at CRAN