Re: [R] Autoregressive covariance structure for lme object and R/SAS differences in model output

Thanks for your comments. I hard disk meltdown has slowed me down somewhat, but I am now back online. I have reposted to the ME-list, and requested SAS output from my colleagues. I will update the thread again as soon I know more. Thanks, Andreas -- View this message in context:

[R] AR1 covariance structure for lme object and R/SAS differences in model output

Dear R users, We are working on a data set in which we have measured repeatedly a physiological response variable (y) every 20 min for 12 h (time variable; 'x') in subjects ('id') beloning to one of five groups ('group'; 'A' to 'E'). Data are located at:

Re: [R] Problems with lme random slope+intercept model

Dear Ben, Thank you, I agree. I have forwarded this to the r-sig-mixed-models list. Best, Andreas -- View this message in context: http://r.789695.n4.nabble.com/Problems-with-lme-random-slope-intercept-model-tp4679104p4679168.html Sent from the R help mailing list archive at Nabble.com.

[R] Problems with lme random slope+intercept model

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

[R] glht for lme object with significant interaction term

Dear all, I'm working on some data from an experiment on the breeding behavior of birds. In short, I have been measuring how the time spent on performing a certain task (variable 'mean_on_active') differs over time (variable 'day', 2 levels) across three experimental categories (variable

Re: [R] Problems with glht function for lme object

Dear all, Thanks for your input. It works fine now. All it took was for me to tidy up the workspace. Simple solution, that I should have considered earlier. Regards, Andreas -- View this message in context:

[R] Problems with glht function for lme object

Dear all, I'm trying to make multiple comparisons for an lme-object. The data is for an experiment on parental work load in birds, in which adults at different sites were induced to work at one of three levels ('treat'; H, M, L). The response is 'feedings', which is a quantitative measure of

[R] Crossed random effects in lme

Dear all, I am trying to fit a model with crossed random effects using lme. In this experiment, I have been measuring oxygen consumption (mlmin) in bird nestlings, originating from three different treatments (treat), in a respirometer with 7 different channels (ch). I have also measured body

[R] random slope models with lme -- failured to converge

Dear all, I am working on a data set in which I have sequentially measured egg temperatures (eggtemp) in birds incubating in different ambient temperatures (treat, sample data set below), id is not replicated within treatment. id treat eggtemp 1 79 3 30.90166 2 42 3 34.94044