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GraphPCA (version 1.1)

Graphical Tools of Histogram PCA

Description

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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Version

Install

install.packages('GraphPCA')

Version

1.1

License

GPL (>= 2)

Maintainer

Brahim Brahim

Last Published

April 13th, 2018

Functions in GraphPCA (1.1)

HistPCA

HistPCA
Ridi3

Normalized Mantel Hansen's Scores computation using cumulative distribution function
Ridi2

Standardized Mantel Hansen's Scores computation using cumulative distribution function
PrepHistogram

This function transform standard variables into histogram-valued variable (PrepHistogram)
movies

movies
GraphPCA-package

Graphical Tools of Histogram PCA.
Visu

Visu
Ridi

Mantel Hansen's Scores computation using cumulative distribution function