WSP algorithm

Description

The WSP (Wooton, Sergent, Phan-Tan-Luu) algorithm is an iterative algorithm based on suppression of some experiments from an initial design in each step. WSP leads to a space filling design.

Usage

wspDesign(design,dmin)

Arguments

Details

WSP enables to create a design D which is such that mindist(D)>dmin. However, it cannot assess the number of experiments. Similarly to straussDesign function, WSP is a powerful algorithm to construct space filling designs in high dimension

Value

A list containing:

Author(s)

G.Damblin & B.Iooss

References

J. Santiago, M. Claeys-Bruno, M.Sergent (2012). Construction of space filling designs using WSP algorithm for high dimensional spaces, Chenometrics and Intelligent Laboratory Systems, 113:26-31.

Examples

dimension <- 2
n <- 100
X <- matrix(runif(n*dimension),n,dimension)
m=wspDesign(X,0.1)
plot(m$design)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(DiceDesign)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DiceDesign/wspDesign.Rd_%03d_medium.png", width=480, height=480)
> ### Name: wspDesign
> ### Title: WSP algorithm
> ### Aliases: wspDesign
> ### Keywords: design
> 
> ### ** Examples
> 
> dimension <- 2
> n <- 100
> X <- matrix(runif(n*dimension),n,dimension)
> m=wspDesign(X,0.1)
> plot(m$design)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>