A big thank you to everyone who responded... Using Ales Ziberna solution with the lung dataset, I obtained:
plot(survfit(Surv(time,status),data=lung))
Error in Surv(time, status) : Time variable is not numeric In addition: Warning message: is.na() applied to non-(list or vector) in: is.na(time) Using Thomas Lumley's solution with the lung dataset, I obtained:
curve(pweibull(x, scale=1/coef(lung.wbs), shape=1/lung.wbs$scale,
lower.tail=FALSE),from=0, to=max(lung$time)) A Weibull survival plot appearing as a 90 degree `L' at the extremes of the plot I managed to obtain the solution by combining the two solutions: lung.wbs <- survreg( Surv(futime, status)~ 1, data=lung, dist='weibull') plot (survfit(Surv(futime,status)~1, data=lung)) curve (exp (- (exp( lung.wbs$coef[1])*x)^(1/lung.wbs$scale)), col="black", add=T, from=0, to=30) Kind regards, Eric Lim Papworth Hospital Cambridge, UK