R help - Jan 2007 - aov - glm - lmer

I am sorry to ask a trivial question but I am not a statistician.
When I need to compare more than two groups in a unbalanced design with
SAS system I use PROC GLM (like the example in data5.csv from Cody R.
"Applied statistics and SAS programming language" p.223). R glm gives
different results.

Thanks

Massimo Cressoni

In R,
-- lm fits ordinary least squares linear  models; this is likely to  
be what you want if you were using PROC GLM.
-- glm fits generalized linear models (e.g. logit, Poisson, Gaussian,  
etc.).
-- lmer and lme fit mixed models, similar to PROC MIXED
Cheers,
Hank
On Jan 5, 2007, at 10:05 AM, cressonim wrote:
> I am sorry to ask a trivial question but I am not a statistician.
> When I need to compare more than two groups in a unbalanced design  
> with
> SAS system I use PROC GLM (like the example in data5.csv from Cody R.
> "Applied statistics and SAS programming language" p.223). R glm
gives
> different results.
>
> Thanks
>
> Massimo Cressoni
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting- 
> guide.html
> and provide commented, minimal, self-contained, reproducible code.


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