Inline. Cheers, Bert
Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, May 31, 2016 at 12:05 AM, Michael Haenlein <haenl...@escpeurope.eu> wrote: > 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. Come again?! 8 factors at 4 levels each is 4^8 possible combinations! I will reply in more detail off list, as this is OT for r-help. > > 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. ______________________________________________ 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.
