R help - Jul 2010 - glm - prediction of a factor with several levels

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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blackscorpio <olivier.collignon <at> live.fr> writes:
> 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 ?
  It's not sufficiently clear (to me at least) what you're trying to
do.  Please provide a minimal reproducible example ... As far as I know,
polr is the right way to do ordinal regression; it's not clear how you
were trying to use glm to do it.

  Ben Bolker

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+2300793-1751019155-246278@n4.nabble.com<ml-node%2B2300793-1751019155-246278@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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