Re: [R-sig-eco] Binomial GLMM or GAMM with random intercept and temporal correlation

2014-09-03 Thread SamiC
Thanks for the responses. I am going to try modelling the binomial data with a covariate representing the previous value and see if that's sufficient. I haven't used INLA, I have some experience with JAGs but not sure where to start with modelling temporal structures there. I need to model both

Re: [R-sig-eco] Manova and DFA analysis

2014-09-03 Thread Sarah Goslee
Hi, Those aren't really R questions, nor are they questions we can answer without a great deal more information. Your very best course would be to set up an appointment with a local statistician who can help you. If that isn't an option for you, a statistics forum would be a better place to ask.

[R-sig-eco] Standardising and transformation of explanatory/independent/predictor variables for multiple regression analysis

2014-09-03 Thread Samantha Cox
Dear R-sig-ecology, I have spent some time trawling the internet, and seem to come across slight conflicting advice regarding the standardisation and transformation of variables prior to multiple regression analysis (e.g. LM, LME/GLS, GLM, GLMM, GAM, GAMM). I searched the archives here and I

[R-sig-eco] Four available places on GLMM course in Banff

2014-09-03 Thread Highland Statistics Ltd
There are four remaining places on the following course: Course: Introduction to MCMC, Linear mixed effects models and GLMM with R When: 22-26 September, 2014 Where: Parks Canada, Banff, Canada Flyer: http://www.highstat.com/Courses/Flyer2014_09Banff.pdf Course website:

Re: [R-sig-eco] Standardising and transformation of explanatory/independent/predictor variables for multiple regression analysis

2014-09-03 Thread Scott Foster
Dear Sam, I hear your concern and I sympathise. The reason for the conflicting advice, in my opinion, is partly historical and partly due to academic heredity. When people first started doing statistical analyses, they didn't have computers and all calculations had to be done by hand. This,