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Dear all, I am trying to replicate some multilevel models with binary outcomes using R's "lmer" and "glmmPQL" and Stata's gllmm, respectively. The data can be found at <http://www.uni-koeln.de/~ahf34/xerop.dta>. The relevant Stata output can be found at <http://www.uni- koeln.de/~ahf34/stataoutput.txt>. First, you will find the unconditional model, i.e. no level1- or 2-predictor variables. The second model contains some level 1-predictor variables My R file can be found at <ht...

...'s gllmm, respectively. > >That's not going to happen as they are not using the same criteria. the glmmPQL and lmer both use the PQL method to do it ,so can we get the same result by setting some options to the command? >> The data can be found at <http://www.uni-koeln.de/~ahf34/xerop.dta>. >> >> The relevant Stata output can be found at <http://www.uni- >> koeln.de/~ahf34/stataoutput.txt>. First, you will find the >> unconditional model, i.e. no level1- or 2-predictor variables. The >> second model contains some level 1-predictor va...

...fferent panels and within each panel a barchart of 'country'. barchart(daten$COUNTRY|daten$STATUS), barchart(table(daten$COUNTRY)|table(daten$STATUS)), etc. are obviously wrong. I have absolutely no idea how to do this. You can download the datafile from <http://www.uni-koeln.de/~ahf34/meta.txt> TIA, Bernd -- Bernd Weiss, M.A. Universitaet zu Koeln / University of Cologne Forschungsinstitut fuer Soziologie / Research Institute for Sociology Greinstr. 2 / 50 939 Cologne / Germany Phone: +49 221 / 470-4234 E-Mail: <bernd.weiss at uni-koeln.de>