[R-sig-ME] using R for linear mixed effects models

[Juliet Hannah]

It takes time to learn how to do these analyses. I think a good place to
start is working through the examples of an Intro graduate-level methods course.

I used Statistical Research methods in the life sciences by rao.

It gave nice simple examples related to the description you gave. There
are many books at this level. Once you
understand some simple models, the R code and output will seem
less mysterious. Then work your way through some examples with
a little more complexity, for example: Mixed-effects models in S and S-PLUS.

Also, if you are going to be involved in analysis, try and recruit a
statistician to
your committee.

Good luck.


On Sun, Jan 17, 2010 at 4:51 PM, Gina Garland <gmgarland at ucdavis.edu> wrote:
> Hello,
>
>   I'm a Masters student at UC Davis and I'm trying to use R to produce a
> linear mixed effect model for my data on N2O emissions in agricultural
> ecosystems. I'm looking at the effects of management practices (such as
> fertilization and irrigation) as well as crop type, soil type, and other
> environmental factors on N2O emissions in California cropping systems.
> However, I'm having trouble finding specific examples on how to do it. I've
> never used a computer program like this before and I'm struggling on where
> to begin. Do you have any advice or specific examples that could point me in
> the right direction?
>
> Thanks,
> Gina
>
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>
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