GraphPCA

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) <doi:10.1002/sam.11270>. Sun Makosso Kallyth and Edwin Diday (2012) <doi:10.1007/s11634-012-0108-0>.

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Description file content

Package
GraphPCA
Type
Package
Title
Graphical Tools of Histogram PCA
Version
1.1
Depends
R (>= 2.15.1)
Imports
ggplot2, FactoMineR, scatterplot3d,ggplot2movies
Date
2018-04-04
Author
Brahim Brahim and Sun Makosso-Kallyth
Maintainer
Brahim Brahim
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) .
License
GPL (>= 2)
NeedsCompilation
no
Packaged
2018-04-13 18:48:09 UTC; PSA
Repository
CRAN
Date/Publication
2018-04-13 20:20:04 UTC

install.packages('GraphPCA')

1.1

5 months ago

Brahim Brahim

GPL (>= 2)

Depends on

R (>= 2.15.1)

Imports

ggplot2, FactoMineR, scatterplot3d,ggplot2movies

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