knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "tools/README-" )
This R package provides a class that generates experiment sFFLHD designs. Sequential full factorial-based Latin hypercube design were created by Duan, Ankenman, Sanchez, and Sanchez (2015, Technometrics).
To create a new design you use the function sFFLHD$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) 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.
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