I am trying to create predicted survival plots for survreg or flexsurvreg in R. But I am getting errors for the plot when I use more than one predictors in the survreg. I would like to try it using flexsurvreg or survreg, For lung data set, I used the following code to fit the model.
require(survival)
s <- with(lung,Surv(time,status))
sWei <- survreg(s ~ as.factor(sex)+age+ph.ecog+wt.loss+ph.karno,dist='weibull',data=lung)
fitKM <- survfit(s ~ sex,data=lung)
plot(fitKM)
lines(predict(sWei, newdata=list(sex=1),type="quantile",p=seq(.01,.99,by=.01)),seq(.99,.01,by=-.01),col="blue")
lines(predict(sWei, newdata=list(sex=2),type="quantile",p=seq(.01,.99,by=.01)),seq(.99,.01,by=-.01),col="red")
I am getting errors when I use the above command for plotting. Please let me know where I am doing wrong when plotting for predicted survival curve.
> lines(predict(sWei, newdata=list(sex=1),type="quantile",p=seq(.01,.99,by=.01)),seq(.99,.01,by=-.01),col="red")
Error in eval(expr, envir, enclos) : object 'age' not found
We need to give values in the list
to every variable in your model, so that it can plot the curve.
require(survival)
s <- with(lung,Surv(time,status))
sWei <- survreg(s ~ as.factor(sex)+age+ph.ecog+wt.loss+ph.karno,dist='weibull',data=lung)
fitKM <- survfit(s ~ sex,data=lung)
plot(fitKM)
lines(predict(sWei, newdata=list(sex=1,
age = 1,
ph.ecog = 1,
ph.karno = 90,
wt.loss = 2),
type="quantile",
p=seq(.01,.99,by=.01)),
seq(.99,.01,by=-.01),
col="blue")
lines(predict(sWei, newdata=list(sex=2,
age = 1,
ph.ecog = 1,
ph.karno = 90,
wt.loss = 2),
type="quantile",
p=seq(.01,.99,by=.01)),
seq(.99,.01,by=-.01),
col="red")