I would like to plot a survival curves of a group with different categories after running a Cox model with frailty() random effects terms.
I just could display a survival plot of the covariable’s mean. Here an example: library(survival) fit<-coxph(Surv(time, status) ~ sex+ frailty(litter, dist='gamma', method='em'), rats) summary(fit ) suf<-survfit(fit) plot(suf, xscale=1, xlab = "Days", ylab="Survival", conf.int=FALSE) lines(suf[1], lwd=2) Warning message: In `[.survfit`(suf, 1) : survfit object has only a single survival curve #But if I use the next code I get the 2 groups. surv_group <- survfit(Surv(time, status) ~ sex, rats) lines(surv_group[1:2], lwd=2, conf.int=FALSE) However, I am not sure about these 2 curves are well done, appropriate. If any of you could help… -- Andreu Ferrero Gregori [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.