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
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