[R] aov - glm - lmer

Martin Henry H. Stevens stevenmh at muohio.edu
Fri Jan 5 16:34:07 CET 2007

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,  
-- lmer and lme fit mixed models, similar to PROC MIXED
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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Dr. Martin Henry H. Stevens, Assistant Professor
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