Dear All, I try to simulate correlated binary data for a clinical research project. Unfortunately, I do not come to grips with bindata().
Consider corr<-data.frame(ID=as.factor(rep(c(1:10), each=5)), task=as.factor(rep(c(1:5),10))) [this format might be more appropriate:] corr2<-data.frame(ID=as.factor(rep(c(1:10),5)), tablet=as.factor(rep(c(1:5),each=10))) Now, I want to add one column 'outcome' for the binary response: * within each 'task', the probabilty of success (1) is fixed, (say rbinom(x,1,0.7)) * within each 'ID', the outcomes are correlated (say 0.8) How can I generate this column 'outcome' with the given proporties? Many thanks for hints or even code! Regards, Christian -- http://portal.gmx.net/de/go/dsl02 ______________________________________________ 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.