Creating an Experimental Design in R

May 27, 2014 § 2 Comments

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 to analyse the issues raised in this post:

NFS vs Fibre Channel: Comparing CPU Utilization in VMWare


here:

Analysing Experimental Results With R

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