"when the first level denotes failure and all others success"
Yes, I saw this sentence in the glm help file, but I hadn't understood it
this way... Anyway I checked this with a few examples and this is exactly
what it does.
Thanks a lot for your help !!!
I can go back now to the polr function a
On Jul 26, 2010, at 4:18 AM, blackscorpio wrote:
>
> Thanks a lot for your anwers.
> To Ben Bolker : I am trying to perform an ordinal logistic regression to
> predict an Y 3-class variable, having observed 3 continous predictors V1,
> V2, V3.
> With random data my code would be something like :
Thanks a lot for your anwers.
To Ben Bolker : I am trying to perform an ordinal logistic regression to
predict an Y 3-class variable, having observed 3 continous predictors V1,
V2, V3.
With random data my code would be something like :
# simulate 10 observations of 3 independant N(0,1) predict
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
blackscorpio 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
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 o
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