R: Full Factorial Designs

factDesign {DiceDesign} | R Documentation

## Full Factorial Designs

### Description

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

### Usage

    factDesign(dimension, levels)

### Arguments

`dimension` | an integer given the number of input variables
`levels` | an integer given the number of levels

### 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:

`n` | the number of experiments
`design` | the design of experiments

### Author(s)

G. Pujol and J. Franco

### Examples

    ## First example
    g1 <- factDesign(2, 7)
    plot(g1$design, xlim=c(0,1), ylim=c(0,1))

    ## Second example
    g2 <- factDesign(2, c(2,7))
    plot(g2$design, xlim=c(0,1), ylim=c(0,1))

    ## Change the dimnames, adjust to range (-10, 10) and round to 2 digits
    xDRDN(g1, letter = "T", dgts = 2, range = c(-10, 10))
    xDRDN(g2, letter = "T", dgts = 2, range = c(-10, 10))

[Package DiceDesign version 1.9 Index]