Dear all, I am running a simulation experiment with 8 factors that each have 4 levels. Each combination is repeated 100 times. If I run a full factorial this would mean 100*8^4 = 409,600 runs.
I am trying to reduce the number of scenarios to run using a fractional factorial design. I'm interested in estimating the main effects of the 8 factors plus their 2-way interactions. Any higher level interactions are not of interest to me. My plan is to use a standard OLS regression for that, once the simulations are over. I tried to use the FrF2 package to derive a fractional factorial design but it seems that this is only working for factors on two levels. Any idea how I could derive a fractional factorial design on factors with four levels? Thanks for your help, Michael Michael Haenlein Professor of Marketing ESCP Europe [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.