[R] Repeated measures design for GAM? - corrected question...
Simon Wood
s.wood at bath.ac.uk
Thu Jan 29 16:23:42 CET 2009
Diederik,
The `gamm' call looks fine provided `park' is nested in `count'. You are
basically adding a random effect for each survey, and a random effect for
each `park' within survey to the the smooth effects.
best,
Simon
ps. I assume there are more than 18 observations in the full dataset --- the
model sturcture is a bit too complicated otherwise...
On Wednesday 28 January 2009 19:44, Strubbe Diederik wrote:
> Dear Simon,
> Many thanks for pointing me to the GAMM! For clarification, Bird_abundance
> are breeding densities ( e.g. 1.25 BP/ha, 2.20 BP/ha,...) and count is just
> the actual survey(e.g. first_survey,...). The dataset looks like
> Bird_abundance Study_area YEAR COUNT X1 X2 X3 X4
> 0.15 area_1 2004 first_survey
> 1.26 area_1 2004 second_survey
> 2.47 area_1 2005 third_survey
> 0.00 area_1 2005 fourth_survey
> 0.23 area_1 2006 fifht_survey
> 2.64 area_1 2006 sixth_survey
> 4.14 area_2 2004 first_survey
> 5.00 area_2 2004 second_survey
> 6.80 area_2 2005 third_survey
> 0.15 area_2 2005 fourth_survey
> 0.25 area_2 2006 fifht_survey
> 2.36 area_2 2006 sixth_survey
> 2.59 area_3 2004 first_survey
> 6.31 area_3 2004 second_survey
> 0.15 area_3 2005 third_survey
> 2.85 area_3 2005 fourth_survey
> 2.48 area_3 2006 fifht_survey
> 1.23 area_3 2006 sixth_survey
>
>
> Am I correct in assuming the following is a valid syntax for this repeated
> measures design?:
>
> model <-gamm(Bird_abundance ~ YEAR + s(X1)+ s(X2)+ s(X3)+
> s(X4),random=list(count=~1,park=~1))
>
> best wishes and thanks again,
>
> Diederik
>
>
>
>
>
> Diederik Strubbe
> Evolutionary Ecology Group
> Department of Biology, University of Antwerp
> Universiteitsplein 1
> B-2610 Antwerp, Belgium
> http://webhost.ua.ac.be/deco
> tel : 32 3 820 23 85
>
>
>
> -----Original Message-----
> From: Strubbe Diederik
> Sent: Wed 28-1-2009 18:09
> To: r-help at R-project.org
> Subject: Repeated measures design for GAM? - corrected question...
>
> Dear all,
>
> I have a question on the use of GAM with repeated measures. My dataset is
> as follows: - a number of study areas where bird abundance has been
> determined. Counts have been performed in 3 consecutive years and there
> were 2 counts per year (i.e. in total 6 counts). - a number of
> environmental predictors that do not change over year Xi). When using a
> GLM, a repeated measures design would like: (for example)
>
> lme(Bird_abundance = study_area + count +year+ X1 + X2 + X3,random =
> ~count|study_area).
>
> However, I have found no analogue design for a GAM. For now, I have
> averaged my bird abundances but I wondered whether a more subtle and
> elegant strategy exists...?
>
> Many thanks,
>
>
> Diederik
>
> Diederik Strubbe
> Evolutionary Ecology Group
> Department of Biology, University of Antwerp
> Universiteitsplein 1
> B-2610 Antwerp, Belgium
> http://webhost.ua.ac.be/deco
> tel : 32 3 820 23 85
>
>
>
>
> [[alternative HTML version deleted]]
--
> Simon Wood, Mathematical Sciences, University of Bath, Bath, BA2 7AY UK
> +44 1225 386603 www.maths.bath.ac.uk/~sw283
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