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GraphPCA  

Graphical Tools of Histogram PCA
View on CRAN: Click here


Download and install GraphPCA package within the R console
Install from CRAN:
install.packages("GraphPCA")

Install from Github:
library("remotes")
install_github("cran/GraphPCA")

Install by package version:
library("remotes")
install_version("GraphPCA", "1.1")



Attach the package and use:
library("GraphPCA")
Maintained by
Brahim Brahim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-03-28
Latest Update: 2018-04-13
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) .
How to cite:
Brahim Brahim (2014). GraphPCA: Graphical Tools of Histogram PCA. R package version 1.1, https://cran.r-project.org/web/packages/GraphPCA
Previous versions and publish date:
1.0 (2014-03-28 13:53), 1.1 (2018-04-13 22:20)
Other packages that cited GraphPCA R package
View GraphPCA citation profile
Other R packages that GraphPCA depends, imports, suggests or enhances
Functions, R codes and Examples using the GraphPCA R package
Some associated functions: GraphPCA-package . HistPCA . PrepHistogram . Ridi . Ridi2 . Ridi3 . Visu . movies . 
Some associated R codes: HistPCA.R . PrepHistogram.R . Ridi.R . Ridi2.R . Ridi3.R . Visu.R .  Full GraphPCA package functions and examples
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