Hi, I'm having the following loop:
result <- vector("list",100) for (i in 1:max(dat$simNumber)) { result[[i]]<-survfit(Surv(dat[dat$simNumber==i,]$TAFD,dat[dat$simNumber==i,]$DV)~1) } In a next step, I would like to calculate the mean, 5% and 95% PI of the Kaplan-Meier estimates of the 100 simulated problems stored under result in the result[[i]]$surv. Can anyone help me with this? Tx! Notice: This e-mail message, together with any attachme...{{dropped:14}} ______________________________________________ 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.