# sFFLHD v0.1.2

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## Sequential Full Factorial-Based Latin Hypercube Design

Gives design points from a sequential full factorial-based Latin hypercube design, as described in Duan, Ankenman, Sanchez, and Sanchez (2015, Technometrics, <doi:10.1080/00401706.2015.1108233>).

# sFFLHD

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.

## Functions in sFFLHD

 Name Description sFFLHD-class sFFLHD object that gives a batch of points at a time. sFFLHD_Lflex sFFLHD with flexible L split_matrix Split a matrix by rows, based on either the number of rows per group or number of splits. sFFLHDmm sFFLHD maximin No Results!