Hi Brian (and the list of course!), I still have problems analysing data in R, because I don't know how to tell glm() "use row-effect model, please". The models are well defined by Agresti, but can't get the link from the theory to the implementations in R. Different names, definitions and no explanation of results in the documentation of glm() or summary() make it hard to get in...
But I found another solution for my data: I just use the saturated log-linear model for categorial data and refer to the estimated parameter of the three-way-interaction only. That's enough statistics for my paper ;-). Thanks for your help, Piotr Majdak Prof Brian Ripley wrote: > As I suggested before, a binomial logistic model is appropriate here, > not a Poisson log-linear one. (They are equivalent, but the binomial > version is easier to interpret and less wasteful to fit.) > > You have still not defined v' and w', nor the scores (are they estimated > or not). But the model I suggested is such a model with scores 1,2,... -- Piotr Majdak Acoustics Research Institute Austrian Academy of Sciences Reichsratsstr. 17 A-1010 Vienna AUSTRIA phone: +43-1-4277-29511 fax: +43-1-4277-9296 email: [EMAIL PROTECTED] WWW: http://www.kfs.oeaw.ac.at ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
