Using the DoE package of R, I create the following experimental design: Design.1 <- fac.design(nfactors= 5 ,replications= 20 ,repeat.only= FALSE ,blocks= 1 ,   randomize= TRUE ,seed= 25027 ,nlevels=c( 2,2,2,2,2 ), factor.names=list( read=c(0,100),   rand=c(0,100),blk_sz=c(4,8),protocol=c(‘”fc”‘,’”nfs”‘),iops=c(1000,4000) ) ) The design can then be exported for later use: export.design(Design.1, type=”all”,path=”V:/Doe”, file=”Design.1″,   replace=FALSE) I use this design … Continue reading Creating an Experimental Design in R