PPindex.class: Calculate Projection Pursuit index

In EK-Lee/PPtree: Projection pursuit classification tree

Description

For given projected data and class information, calculate projection 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, Lp, PDA
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.

See Also

PP.optimize

Examples

data(iris)
n <- nrow(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)

EK-Lee/PPtree documentation built on May 6, 2019, 3:07 p.m.