GPCSIV: GPCSIV, Generalized Principal Component of Symbolic Interval variables
Version 0.1.0

This package implements an extension of principal component analysis (PCA) tailored to handle multiple data tables. It can handle Big Data in the sense that the variation in massive data can be described by intervals [a, b] and multiple tables.

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AuthorBrahim Brahim and Sun Makosso-Kallyth <sun.makosso-kallyth@crchuq.ulaval.ca>
Date of publication2013-09-15 09:53:08
MaintainerBrahim Brahim <brahim.brahim@bigdatavisualizations.com>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("GPCSIV")

Man pages

gpca: Main function gpca, Generalized Principal Component of...
GPCSIV: Generalized Principal Component of Symbolic Interval...
Judge1: GPCSIV, dataset Judge 1
Judge2: GPCSIV, dataset Judge 2
Judge3: GPCSIV, dataset Judge 3
oils: Oils data proposed by Ichino
Resdata: class of objects 'Resdata'
video1: Video data, GPCSIV, Generalized Principal Component of...
video2: Video data, GPCSIV, Generalized Principal Component of...
video3: Video data, GPCSIV, Generalized Principal Component of...

Functions

GPCSIV Man page
Judge1 Man page
Judge2 Man page
Judge3 Man page
Resdata Man page Source code
gpca Man page Source code
oils Man page
video1 Man page
video2 Man page
video3 Man page

Files

NAMESPACE
data
data/video2.rda
data/oils.rda
data/video1.rda
data/Judge3.rda
data/Judge1.rda
data/video3.rda
data/Judge2.rda
R
R/gpca.R
R/Resdata.R
R/GPCSIV-internal.R
MD5
DESCRIPTION
man
man/oils.Rd
man/Judge2.Rd
man/Judge3.Rd
man/gpca.Rd
man/video1.Rd
man/GPCSIV.Rd
man/video2.Rd
man/video3.Rd
man/Judge1.Rd
man/Resdata.Rd
GPCSIV documentation built on May 19, 2017, 9:20 a.m.