Hi All,
Many thanks for your different perspectives on stepwise model building and the
dredge function, you've helped me out as well as Marco and I shall read more
thoroughly into all your points.
All the best,
Bex
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R-sig-ecology mailing list
(Gavin Simpson)
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Message: 1
Date: Tue, 27 Sep 2011 08:54:52 +0200
From: Marco Helbich marco.helb...@gmx.at
To: r-sig-ecology@r-project.org
Subject: [R-sig-eco] gam variable selection
Message-ID: 4e81733c.8090...@gmx.at
Content
Hello Bex,
thanks for the detailed answer. You mentioned a function called
dredge, perhaps you still know the corresponding package?
Again, thanks Gavin and Bex for you advices and patience!
Marco
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...@r-project.org] On Behalf Of Rebecca Ross
Sent: 28 September 2011 10:45
To: r-sig-ecology@r-project.org
Subject: Re: [R-sig-eco] gam variable selection
Hi Marco,
Having recently been working with gams myself I would suggest a procedure
whereby you build your model in a forward stepwise approach
)
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Message: 1
Date: Tue, 27 Sep 2011 08:54:52 +0200
From: Marco Helbich marco.helb...@gmx.at
To: r-sig-ecology@r-project.org
Subject: [R-sig-eco] gam variable selection
Message-ID: 4e81733c.8090...@gmx.at
Content-Type: text/plain; charset=ISO-8859-15
Dear list,
I am studying the influence of several environmental factors (numeric
dummies) on species densities (= numeric) using the gam()
function with a gaussian link function in the mgcv package. As stated in
Wood (2006) there is no variable selection algorithm.
Is it an appropriate
On Tue, 2011-09-27 at 08:54 +0200, Marco Helbich wrote:
Dear list,
I am studying the influence of several environmental factors (numeric
dummies) on species densities (= numeric) using the gam()
function with a gaussian link function in the mgcv package. As stated in
Wood (2006) there is
Gavin,
thank you for your reply, I appreciate it!
After consulting the proposed paper, I have tried your suggestion
setting select = T, which results again in another question:
If the p-value is NA does this mean that the smoothing term is droped
(or shrank to zero)? Independent of its high
thank you for clarifying.
so I can remove them all at once.
best
marco
Am 27.09.2011 13:50, schrieb Gavin Simpson:
On Tue, 2011-09-27 at 13:42 +0200, Marco Helbich wrote:
Gavin,
thank you for your reply, I appreciate it!
After consulting the proposed paper, I have tried your suggestion
On Tue, 2011-09-27 at 14:40 +0200, Marco Helbich wrote:
thank you for clarifying.
so I can remove them all at once.
Given their effects are already removed you could just work with the
model *as is*. If you refit, you might have to be careful to ensure that
the same model (and smooth
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