Antonio Olinto wrote:
> Hello,
>
> I have a doubt in using the function step (step wise) to select glm models.
>
> Usually I apply the gamma distribution to analyze fishery data. To select
the
> terms I use a routine where I first compare single term models to the null
model
> (eg. U~1 vs. U~depth; U~1 vs. U~latitude; etc. ? where U= abundance) and,
by
> means of the result given by a likelihook function applied for each
comparison,
> I select the ?strongest? effect, let?s say depth. Then I run a new step
> comparing the U~depth vs. U~depth+latitude; U~depth vs. U~depth+... etc.
Making
> this way I put the terms in ?magnitude? order.
>
> I tried to make a gaussian model using the step(glm.model) function to
select
> the terms but I saw that in the output table given by anova(glm.model) the
> selected terms kept the original order.
>
> Is it possible to have the terms in the model rearranged, as in my example?
>
> Thanks for any help. I read Chambers and Hastie?s ?Statistical Models in
S?,
> Venables and Ripley ?Modern Applied Statistics? and, of course, R help but
I
> couldn?t get the trick.
>
I don't know if this will get you there, but
1. I would use stepAIC in package MASS;
2. set argument trace = TRUE;
3. think very hard about the interpretation of the model;
4. read also Frank Harrell's "Regression Modeling Strategies".
Peter
> Antonio
>
> --
> Biologist
> Sao Paulo Fisheries Institute
>
>
>
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Peter Ehlers
Department of Mathematics and Statistics
University of Calgary, 2500 University Dr. NW ph: 403-220-3936
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