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GPCSIV (version 0.1.0)

GPCSIV, Generalized Principal Component of Symbolic Interval variables

Description

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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Version

Install

install.packages('GPCSIV')

Monthly Downloads

9

Version

0.1.0

License

GPL (>= 2)

Maintainer

Brahim Brahim

Last Published

September 15th, 2013

Functions in GPCSIV (0.1.0)

video2

Video data, GPCSIV, Generalized Principal Component of Symbolic Interval variables
video3

Video data, GPCSIV, Generalized Principal Component of Symbolic Interval variables
Judge1

GPCSIV, dataset Judge 1
oils

Oils data proposed by Ichino
Judge2

GPCSIV, dataset Judge 2
GPCSIV-package

Generalized Principal Component of Symbolic Interval Variables.
Resdata

class of objects 'Resdata'
video1

Video data, GPCSIV, Generalized Principal Component of Symbolic Interval variables
Judge3

GPCSIV, dataset Judge 3