As far as I know, glm only works with dichotomous or count data. polr in
the MASS package works and so does lrm {Design} for ordinal dependent
variables. I would assume that the model produced by glm is a dichotomous
version of your model but not sure. Only one intercept would be given
because if you used the log link then it would have produced a dichotomous
model instead of an ordered logistic regression. My suggestion is to use
polr or lrm.
On Fri, Jul 23, 2010 at 6:15 PM, blackscorpio [via R] <
ml-node+2300793-1751019155-246...@n4.nabble.com<ml-node%2b2300793-1751019155-246...@n4.nabble.com>
> wrote:
> Dear community,
> I'm currently attempting to predict the occurence of an event (factor)
> having more than 2 levels with several continuous predictors. The model
> being ordinal, I was waiting the glm function to return several intercepts,
> which is not the case when looking to my results (I only have one
> intercept). I finally managed to perform an ordinal polytomous logisitc
> regression with the polr function, which gives several intercepts.
> But does anyone know what was the model performed with glm and why only one
> intercept was given ?
> Thanks a lot for your help !
>
>
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