[R] Problem with multinom ?
John Fox
jfox at mcmaster.ca
Sat Jun 11 23:17:52 CEST 2005
Dear Marc,
> -----Original Message-----
> From: Marc Girondot [mailto:marc.girondot at ese.u-psud.fr]
> Sent: Saturday, June 11, 2005 2:16 PM
> To: John Fox
> Cc: R-help at r-project.org
> Subject: RE: [R] Problem with multinom ?
>
> >Dear Marc,
> >
> >I get the same results -- same coefficients, standard errors, and
> >fitted probabilities -- from multinom() and glm(). It's true
> that the
> >deviances differ, but they, I believe, are defined only up
> to an additive constant:
> >
> >> predict(dt.b, type="response")
> > 1 2 3
> >0.4524946 0.5032227 0.5538845
> >
> >> predict(dt.m, type="probs")
> > 1 2 3 4 5 6
> >0.4524948 0.4524948 0.5032229 0.5032229 0.5538846 0.5538846
> >
> >These fitted probabilities *are* correct: Since the members of each
> >pair (1,2), (3,4), and (5,6) have identical values of factor
> they are
> >identical fitted probabilities.
>
> I expected rather to obtain (note 1- before some terms):
> > 1 2 3 4 5 6
> 0.4524948 1-0.4524948 0.5032229 1-0.5032229 0.5538846 1-0.5538846
>
> ...
But the fitted probabilities are for each observation in the data set; in
your data, these have identical values of factor for each pair and hence
identical fitted probabilities. When the response is dichotomous, you get
only one of the two fitted probabilities for each observation; for a
polytomous response, you get a matrix of fitted probabilities which sum to 1
row-wise.
Regards,
John
>
> Marc
> --
>
> __________________________________________________________
> Marc Girondot, Pr
> Laboratoire Ecologie, Systématique et Evolution Equipe de
> Conservation des Populations et des Communautés CNRS, ENGREF
> et Université Paris-Sud 11 , UMR 8079 Bâtiment 362
> 91405 Orsay Cedex, France
>
> Tel: 33 1 (0)1.69.15.72.30 Fax: 33 1 (0)1 69
> 15 56 96 e-mail: marc.girondot at ese.u-psud.fr
> Web: http://www.ese.u-psud.fr/epc/conservation/Marc.html
> Skype: girondot
> Fax in US: 1-425-732-6934
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