Hello Stephen, As far as I know, the meta package will not allow you to include moderator variables in the model. However, I have written a script for R/S-Plus that will allow you to fit such models (essentially, these are mixed-effects models with a random intercept). You can find the script here: http://www.wvbauer.com/downloads.html
Specifically, if you scroll down a bit, you will find the "mima" function with a tutorial that explains how it can be used. I hope you find this useful. Best wishes, -- Wolfgang Viechtbauer Department of Methodology and Statistics University of Maastricht, The Netherlands http://www.wvbauer.com/ -- Wolfgang Viechtbauer Department of Methodology and Statistics University of Maastricht, The Netherlands http://www.wvbauer.com/ > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:r-help- > [EMAIL PROTECTED] On Behalf Of Stephen > Sent: Sunday, March 12, 2006 11:55 AM > To: r-help@stat.math.ethz.ch > Subject: [R] meta / lme > > Hi > > > > I'm conducing a meta-analysis using the meta package. > > > > Here's a bit of code that works fine - > > tmp <- metacont(samplesize.2, pctdropout.2, sddropout.2, > > samplesize.1, pctdropout.1, sddropout.1, > > data=Dataset, sm="WMD") > > > > I would now like to control for a couple of variables (continuous and > categorical) that aren't in the equation. > > > > Is meta inappropriate for these purposes? If so, based on the above > code, how would I add variables to the equation? > > > > Perhaps I should use lme weighting on sample size? > > > > Thoughts appreciated > > > > Thanks S. > > > > PS > > > version > > _ > > platform i386-pc-mingw32 > > arch i386 > > os mingw32 > > system i386, mingw32 > > status > > major 2 > > minor 2.1 > > year 2005 > > month 12 > > day 20 > > svn rev 36812 > > language R ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
