PDAopt_MOD: PP optimization using PDA index

In natydasilva/PPtreeExt: Projection Pursuit Classification Tree extensions

PP optimization using PDA index

Description

PP optimization using PDA index same as PPtree

Usage

PDAopt_MOD(origclass,origdata, q = 1, weight = TRUE, lambda = 0.1,...)

Arguments

origclass	class information vector of data
origdata	data matrix without class information
q	dimension of projection vector
weight	weight flag in PDA index
lambda	lambda in PDA index
...	arguments to be passed to methods

Details

Find the q-dimensional optimal projection using PDA projectin pursuit index

Value

indexbest maximum PDA index value

projbest optimal q-dimensional projection matrix

origclass original class information vector

origdata original data matrix without class information

References

Lee, EK, Cook, D.(2010) A Projection Pursuit Index for Large p Small n Data, Statistics and Computing, 20:381-392.

Examples

data(penguins)
penguins <- na.omit(penguins[, -c(2,7)])

penguins_pda_proj <- PDAopt_MOD(penguins[,1],penguins[,-1], weight=TRUE, q=2, lambda=0.1)
penguins_pda_proj$indexbest
penguins_pda_proj$projbest

natydasilva/PPtreeExt documentation built on June 14, 2025, 12:18 p.m.