anord <andreas.nord <at> zooekol.lu.se> writes: > > Dear all, > I'm trying to fit a model on ecological data in which I have measured a few > biotic and abiotic factors over the course of a few days in several > individuals. Specifically, I'm interested in modelling y ~ x1, with x2, x3, > and 'factor' as independent variables. Because data suggests both slope and > intercept (for y ~x1) might differ between individuals, I'd want to compare > model fit for a saturated model with random intercept only, against > that of > a model with random slope + intercept. Data are available in > full from this > link: > https://www.dropbox.com/s/mzk8utvgkzp4rtr/data.txt
Sorry for snipping context, and for not really responding, but this question might get more traction on the r-sig-mixed-models mailing list (r-sig-mixed-mod...@r-project.org) ... I would guess that your model is overfitted/unidentifiable, but I would have to look a lot more carefully to know for sure. Ben Bolker ______________________________________________ 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.
