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sFFLHD

Travis-CI Build Status CRAN_Status_Badge

This R package provides a class that generates experiment sFFLHD designs. Sequential full factorial-based Latin hypercube design were created by Duan, Ankenman, Sanchez, and Sanchez (2015, Technometrics).

To create a new design you use the function sFFLHD$new and must give in the number of dimensions, D, and the batch size/number of levels per factor, L. An example is shown below (the last line can be repeated when run in console to see how new batches are added).

library(sFFLHD)
#> Loading required package: DoE.base
#> Loading required package: grid
#> Loading required package: conf.design
#> 
#> Attaching package: 'DoE.base'
#> The following objects are masked from 'package:stats':
#> 
#>     aov, lm
#> The following object is masked from 'package:graphics':
#> 
#>     plot.design
#> The following object is masked from 'package:base':
#> 
#>     lengths
set.seed(0)
s <- sFFLHD$new(D=2,L=3)
plot(s$get.batch(),xlim=0:1,ylim=0:1,pch=19)
abline(h=(0:(s$Lb))/s$Lb,v=(0:(s$Lb))/s$Lb,col=3);points(s$get.batch(),pch=19)

By default the new points are selected using maximin distance optimization to spread them out. This is why points will end up near corners. This option will slow down the code a little but generally not noticeably compared to what the design is used for. If set to FALSE then the points are randomly placed within their small grid box.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.