[R] aov - glm - lmer
Martin Henry H. Stevens
stevenmh at muohio.edu
Fri Jan 5 16:34:07 CET 2007
-- 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
> 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.
> Massimo Cressoni
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-
> and provide commented, minimal, self-contained, reproducible code.
Dr. Martin Henry H. Stevens, Assistant Professor
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