Hello Chuck,
many thanks for your advice.
IŽll go through the package and see if IŽll manage to visualize the interaction 
effect this time as I already tried it with a special tool for displaying 
models with interaction terms in 3D. 
http://www.uni-oldenburg.de/landeco/Download/Software/LR_Mesh/LR_Mesh.htm
but could not yield any plausible results. Hopefully this time...
best regards
Christian

> -----Ursprüngliche Nachricht-----
> Von: Chuck Cleland <[EMAIL PROTECTED]>
> Gesendet: 31.08.06 14:16:12
> An: Christian Jones <[EMAIL PROTECTED]>
> CC: r-help@stat.math.ethz.ch
> Betreff: Re: [R] need help with an interaction term


> Christian Jones wrote:
> > Hello!
> > Iᅵm fitting a model with glm(family binomial). The best model counts 9 
> > Variables and includes an interaction term that was generated by the 
> > product of to continuous variables (a*b). All variables are correlated 
> > under a value of 0.7 (Spearman rank order) While the estimates of both main 
> > effects are negativ, the resulting interaction term is positiv. This change 
> > of sign makes it difficult to interpret the model and above all, is this 
> > perhaps due to a bad variable choice ?
> > Thanks a lot for helping
> 
>   Rather than trying to interpret the model coefficients directly, you
> might visualize the a*b interaction effect.  The effects package by John
> Fox is very useful for this:
> 
> http://cran.r-project.org/doc/packages/effects.pdf
> 
> > Christian
> > 
> > _______________________________________________________________________
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> > 
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> 
> -- 
> Chuck Cleland, Ph.D.
> NDRI, Inc.
> 71 West 23rd Street, 8th floor
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