Google on "R mixed effects" ! (or you could use R's search tools -- ?help )
-- Bert On Wed, Mar 9, 2011 at 4:58 PM, Chris Buddenhagen <cbuddenha...@gmail.com> wrote: > To account for likely differences between > families in naturalization rates, we fitted a > generalized linear mixed model, using > PROC NLMIXED in SAS10, with the > naturalization rate per genus (that is, the > number of naturalized species in a genus as > a proportion of the total number of introduced > species in a genus) as the response > variable, a variable coding genera as containing > at least one native species or not as a > fixed-effect predictor, and a variable coding > for family as a random effect. > > I would like to emulate or do something better than this PROC NLMIXED method > using R, the methods were used in a 2002 Duncan and Williams nature > publication. Any suggestions about how to proceed? > > > > Chris Buddenhagen > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Bert Gunter Genentech Nonclinical Biostatistics ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
