PPtree (version 2.3.0)

PPindex.class: Calculate Projection Pursuit index

Description

For given projected data and class information, calculate projeciton pursuit index.

Usage

PPindex.class(PPmethod, data, class, weight=TRUE, r=NULL, lambda=NULL, ...) PPindex.LDA(data, class, weight=TRUE, ...)  PPindex.Lp(data, class, r, ...)  PPindex.PDA(data, class, lambda, ...)

Arguments

PPmethod

Selected PP index

``LDA" - LDA index

``Lp" - Lp index

``PDA" - Entropy-class index

data

A data without class information

class

class information

weight

weight flag using in LDA index

r

a parameter for $L^r$ index

lambda

a parameter for PDA index

...

...

Value

The value is an projection pursuit index for given data.

References

Lee, E., Cook, D., and Klinke, S.(2002) Projection Pursuit indices for supervised classification

See Also

PP.optimize

Examples

data(iris)

PPindex.class("LDA",iris[,1:2],iris[,5])
PPindex.class("LDA",iris[,1:2],iris[,5],weight=FALSE)
PPindex.class("Lp",iris[,1:2],iris[,5],r=1)
PPindex.class("PDA",iris[,1:2],iris[,5],lambda=0.1)