[R] Fractional Factorial Design on 4-level factor

Bert Gunter bgunter.4567 at gmail.com
Tue May 31 16:13:09 CEST 2016



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
<haenlein at 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]]
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