`gamm' in package `mgcv' will let you specify random effects as part of a generalized additive mixed model, but I must admit that I'm a bit confused about what `Bird_abundance' is here, and how it differs from `Count'.
best, Simon On Wednesday 28 January 2009 17:09, Strubbe Diederik wrote: > 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]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html and provide commented, minimal, > self-contained, reproducible code. -- > Simon Wood, Mathematical Sciences, University of Bath, Bath, BA2 7AY UK > +44 1225 386603 www.maths.bath.ac.uk/~sw283 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
