Hi Caitie,
whatever it is you want to achieve, you seem to be doing it in a very complicated way. The code you
gave appears to be for producing a model selection table, yet you say you're trying to do model
averaging.
If you want a model selection table, why not use the one `dredge` produces
Hi Caitie,
whatever it is you want to achieve, you seem to be doing it in a very complicated way. The code you
gave appears to be for producing a model selection table, yet you say you're trying to do model
averaging.
If you want a model selection table, why not use the one `dredge` produces
= (!ti(x0,x1) | (s(x0) s(x1
Cheers,
Arnaud
2014-11-11 4:11 GMT-05:00 Kamil Bartoń kamil.bar...@o2.pl
mailto:kamil.bar...@o2.pl:
Hi Arnaud,
your question has in fact nothing to do with gam or model selection.
What you are asking is: what is the logical expression that yields
True
Hi Arnaud,
your question has in fact nothing to do with gam or model selection.
What you are asking is: what is the logical expression that yields True
when AB is False or both A and B are True. Now replace the words with
operators (!AB | (A B)) and voilà.
See also:
help(Logic, base)
On 2014-06-27 11:00, r-help-requ...@r-project.org wrote:
Date: Thu, 26 Jun 2014 15:12:08 +0200
From: Carlos Bautista Le?n carlosbautistal...@gmail.com
To: r-help@r-project.org
Subject: [R] AICc in MuMIn package
Hello, I am modelling in glmmADMB count data
(I??m using a negative binomial
On 2014-01-15 11:00, r-help-requ...@r-project.org wrote:
Date: Wed, 15 Jan 2014 16:39:17 +1000
From: Diana Virkkid.vir...@griffith.edu.au
To:r-help@r-project.org
Subject: [R] Model averaging using QAICc
Message-ID:
CAL6nRQcAyN-3SVeZSMXoJq=vsxotpg3e0prwjw7iu7g20b+...@mail.gmail.com
You are trying to average coefficients from models fitted to different
data (as you have manipulated Lat+Long values), you cannot do it using
AIC weights.
kamil
On 2013-12-11 11:00, r-help-requ...@r-project.org wrote:
Message: 26
Date: Tue, 10 Dec 2013 15:44:28 -0500
From: Catarina
REML
argument. Also, consider using update rather than rewriting the models
each time.
kamil
On 2013-11-15 17:10, Lilly Dethier wrote:
Of course! Here's my data file and R code file. Thanks so much for your
help!!
Lilly Dethier
On Fri, Nov 15, 2013 at 8:14 AM, Kamil Bartoń k.bar...@abdn.ac.uk
works ok with mock-up data. Can you give some code to reproduce this error?
kamil
On 2013-11-15 11:00, r-help-requ...@r-project.org wrote:
Message: 56
Date: Thu, 14 Nov 2013 18:01:27 -0800
From: Lilly Dethierlillydeth...@gmail.com
To:r-help@r-project.org
Subject: [R] Error in MuMIn models
There is indeed a glitch in 'dredge' that prevents you from seeing the
actual error message. It is explained in ?dredge, in section Missing
values. (it's been corrected now in 1.9.14, on R-forge)
kamil
On 2013-11-08 11:00, r-help-requ...@r-project.org wrote:
--
Hi Cat,
are you using some very old version of MuMIn? That would explain the
missing 'QAICc'.
As for the error message about 'logLik', it usually occurs when there
are some misspelled arguments (that go into ... and are passed to the
rank function, 'AICc' in your case). Check if there is some
summary(model.avg(...)) gives much more information.
pozdrowienia,
kamil
Dnia 2012-06-28 12:00, KKulmakatarzyna.ku...@ebc.uu.se pisze:
Message: 60
From: KKulmakatarzyna.ku...@ebc.uu.se
To:r-help@r-project.org
Subject: Re: [R] MuMIn Problem getting adjusted Confidence intervals
Hello,
I seem
p-value 0.05 means that the 95% confidence intervals span zero.
Use confint to get the CI. It is described in ?model.avg.
cheers,
kamil
Dnia 2012-06-27 12:00, Robertson, Andrew pisze:
Dear R users,
Recent changes to the MuMIn package now means that the model averaging command
(model.avg)
Dnia 2012-03-18 01:15, Ted Stankowich pisze:
Hello!
I've been running a looped AIC analysis using several modules including ape,
nlme, and MuMIn, and
during one particularly long analysis, R (ver 2.14.12) crashes several minutes
into the routine with
the simple message R for windows GUI
Dnieper 2012-01-17 10:51, Dunbar, Michael J. piste:
The subject says it all really.
Question 1.
Here is some code created to illustrate my problem, can anyone spot where I'm
going wrong?
Question 2.
The reason I'm following a manual specification of models relates to the fact
that in
Can someone explain why the following happens?
---
: quote(some.name)
some.name
: bar - structure(quote(some.name), class = foo)
: quote(some.name)
Error in print(some.name) : object 'some.name' not found
: bar - quote(some.name)
: quote(some.name)
Error in print(some.name) : object 'some.name'
Dear Sophie,
The answer is 'typo'. 'dredge' does not have an argument named 'marge.ex'.
k
Dnia 2011-10-25 12:00, r-help-requ...@r-project.org pisze:
Message: 131
Date: Mon, 24 Oct 2011 17:08:41 -0700 (PDT)
From: sgilbertsophielgilb...@gmail.com
To:r-help@r-project.org
Subject: [R]
dredge(x, subset = !(X1 (X2 | X3)) !(X2 X3) !(X1 X3))
see help(Logic, base)
Dnia 2011-08-26 12:00, r-help-requ...@r-project.org pisze:
--
Message: 157
Date: Fri, 26 Aug 2011 14:53:00 +0900
From: Andrew MacIntoshandyj...@gmail.com
To:R-help@r-project.org
Hi Marcos,
The 'adjusted CI' (based on the 'adjusted se estimator' as in section 4.3.3 of Burnham Anderson
2002) cannot be calculated for 'lmer' model because it does not give df's for the coefficients.
kamil
Dnia 2011-08-30 12:00, r-help-requ...@r-project.org pisze:
Message: 42
Date:
?model.avg
Look at relative importance.
Message: 102
Date: Wed, 13 Jul 2011 18:01:14 -0500
From: Michael Just mgj...@gmail.com
To: r-help r-help@r-project.org
Subject: [R] Sum weights of independent variables across models (AIC)
Message-ID:
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