Hi Peter,
> - Forwarded message --
> From: Peter Schmidtke
> To: r-help@r-project.org
> Date: Wed, 15 Jul 2009 12:27:17 +0200
> Subject: [R] interacting variables in a formulae in R
> Dear R Mailing Subscribers,
>
> I just have a question of how R handles interacting variables in model
> creation using glm for instance.
>
> if I write :
>
> >>
> model=glm(solution~descriptor1+descriptor2+descriptor3,family=binomial(link="logit"))
>
> I should end up with coefficients for a logistic model that I can introduce
> easily in the mathematical form of such a model (weighted sum of these
> descriptors).
>
> But how do I have to interpret what R does with interacting terms, like
> this? :
>
> >>
> model=glm(solution~descriptor1:descriptor2+descriptor3,family=binomial(link="logit"))
>
> What does R with the numerical values of descriptor1 and 2 in order to fit
> the data? How I can rewrite the model in a mathematical form?
>
Take a look at
?contrasts
and
?model.matrix
At least I think that's what you're after...
-Ista
> Thanks in advance.
>
> Best regards.
> --
>
> Peter Schmidtke
>
> --
> PhD Student at the Molecular Modeling and Bioinformatics Group
> Dep. Physical Chemistry
> Faculty of Pharmacy
> University of Barcelona
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