Aliases: lines.survfit points.survfit lines.survexp
Keywords: survival
### ** Examples fit <- survfit(Surv(time, status==2) ~ sex, pbc,subset=1:312) plot(fit, mark.time=FALSE, xscale=365.25, xlab='Years', ylab='Survival') lines(fit[1], lwd=2) #darken the first curve and add marks # Add expected survival curves for the two groups, # based on the US census data # The data set does not have entry date, use the midpoint of the study efit <- survexp(~sex, data=pbc, times= (0:24)*182, ratetable=survexp.us, rmap=list(sex=sex, age=age*365.35, year=as.Date('1979/01/01'))) temp <- lines(efit, lty=2, lwd=2:1) text(temp, c("Male", "Female"), adj= -.1) #labels just past the ends title(main="Primary Biliary Cirrhosis, Observed and Expected")