On Tue, 30 Nov 2004, Sven wrote:
I'd like to apply a 2^k factorial design with k=10 parameters. Obviously this results in a quite long term for the model equation due to the high number of combinations of parameters.
How can I specify the equation for the linear model (lm) without writing all combinations explicitly down by hand? Does a R command exist for this problematic?
I assume you mean k=10 factors (there are a lot more parameters).
aov(y ~ .^10, data=mydata)
will do what you are probably asking, if you have a data frame with response y and the ten factors. I'm not sure how you could analyse the 1000 odd lines of output, so reduce 10 to something sensible (like 2 or 3)
-- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
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