Hi Saurav, I was waiting for someone else to answer you, because I'm not sure I'll be able to explain clearly. But since no one is jumping on it, I'll take a stab.
On Sun, Oct 18, 2009 at 5:52 PM, saurav pathak <pathak.sau...@gmail.com> wrote: > Dear R users > > I have a data set which has five variables. One depenedent variable y, and 4 > Independent variables (education-level, householdincome, countrygdp and > countrygdpsquare). The first two are data corresponding to the individual > and the next two coorespond to the country to which the individual belongs > to. My data set does not make this distinction between individual level and > country level. Is there a way such that I can make R make countrygdp and > countrygdpsquare at a different level than the individual level data. In > other words I wish to transform my dataset such that it recognizes two > individual level variables to be at Level-1 and the other two country level > variables at Level-2. > If you're using lmer I don't think you need to do anything special in terms of data preparation. You will need an explicit country code I think. > I need to run a multilevel model, but first I must make my dataset recognise > data at Level-1 and Level-2. How can I create this country level group (gdp > and gdp^2) such that I can perform a multilevel model as follows: > > lmer(y ~ education-level + householdincome + countrygdp + countrygdpsquare + > (1 I Level2),family=binomial(link="probit),data=dataset) I think you just need to specify country as the grouping variable: lmer(y ~ education-level + householdincome + countrygdp + countrygdpsquare + (1 I country),family=binomial(link="probit),data=dataset) > > Please kindly help me with the relevant commands for creating this Level2 > (having two variables) I hope this helps -- I thinks it's less complicated than you were assuming. -Ista > > Thanks > Saurav > > > > > > Dr.Saurav Pathak > PhD, Univ.of.Florida > Mechanical Engineering > Doctoral Student > Innovation and Entrepreneurship > Imperial College Business School > s.patha...@imperial.ac.uk > 0044-7795321121 > > [[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. > -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org ______________________________________________ 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.