Calculate Projection Pursuit index

Description

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

Usage

1
2
3
4
 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.

Author(s)

Eun-kyung Lee

References

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

See Also

PP.optimize

Examples

1
2
3
4
5
6
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)