Full Factorial Designs

Description

Create a factorial design with n = pow(levels,dimension) experiments in [0,1]^d.

Usage

factDesign(dimension, levels)

Arguments

Details

It is possible to take a different number of levels for any factor. In this case, the argument levels should be a vector.

Value

factDesign returns a list containing all the input arguments detailed before, plus the following components:

Author(s)

G. Pujol and J. Franco

Examples

## First example
g <- factDesign(2,7)
plot(g$design,xlim=c(0,1),ylim=c(0,1))
## Second example
g <- factDesign(2,c(2,7))
plot(g$design,xlim=c(0,1),ylim=c(0,1))

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/factDesign.Rd_%03d_medium.png", width=480, height=480)
> ### Name: factDesign
> ### Title: Full Factorial Designs
> ### Aliases: factDesign
> ### Keywords: design
> 
> ### ** Examples
> 
> ## First example
> g <- factDesign(2,7)
> plot(g$design,xlim=c(0,1),ylim=c(0,1))
> ## Second example
> g <- factDesign(2,c(2,7))
> plot(g$design,xlim=c(0,1),ylim=c(0,1))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>