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,
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
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Flyer: http://www.highstat.com/Courses/Flyer2014_09Banff.pdf
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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 d
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.
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
Dear all,
I am new user for R program and I am
looking for somebody to help me with Manova and discriminant function analysis
DFA .
I have four measurement traits for bird
species (weight, wing length, tarsus length and bill length) and I would like
to test for differences in body size between