R help - Oct 2011 - Generalized Additive Models: How to create publication-ready regression tables

Hi - 

I have a series of 9 GAM regressions with about 5 parametric effects and
three non-parametric effects in each.  

What is a good library or command for turning GAM outputs into
publication-ready regression tables?

I tried apsrtable and the mtable command in memisc but neither seemed to
work with the gam output.

I'd be okay with two separate tables - one for the parametric effects and
one for the non-parametric effects.  

Best,

David

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Hi,

I usually use xtable package to generate LaTeX tables. It also works for
HTML format.

A reproducible example:
-------------------------------------------------------------------------------------------------------------------------
library(gam)
library(xtable)
model <- gam(Kyphosis ~ s(Age,4) + Number, family = binomial, data=kyphosis,
 trace=TRUE)
model.s <- summary(model)
xtable(model.s$anova, caption="ANOVA table for GAM", digits=4)
-------------------------------------------------------------------------------------------------------------------------

Sometimes you will have to coerce to matrix the data object.
It is specially useful combined with Sweave.

Best,
Emilio L. Cano
Rey Juan Carlos University (Madrid)

2011/10/8 davidyeager <dyeager@gmail.com>
> Hi -
>
> I have a series of 9 GAM regressions with about 5 parametric effects and
> three non-parametric effects in each.
>
> What is a good library or command for turning GAM outputs into
> publication-ready regression tables?
>
> I tried apsrtable and the mtable command in memisc but neither seemed to
> work with the gam output.
>
> I'd be okay with two separate tables - one for the parametric effects
and
> one for the non-parametric effects.
>
> Best,
>
> David
>
> --
> View this message in context:
>
http://r.789695.n4.nabble.com/Generalized-Additive-Models-How-to-create-publication-ready-regression-tables-tp3884432p3884432.html
> Sent from the R help mailing list archive at Nabble.com.
>
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
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