I am fitting a weibull model as follows:

s <- Surv(DFBR[,"Time"],DFBR[,"Censor"])

wei <- survreg(s~ Group+ UsefulLife, data = DFBR, dist="weibull")

How can I predict the probability of failure in next 10 days, for a new data with group =10 and usefuleLife =100

  • 1
    $\begingroup$ Type ?summary.survfit to find out. Better R practice to define s as with(DFBR, Surv(Time, Censor)). Always note which package(s) you are using, in this case survival. $\endgroup$ Commented Mar 14, 2014 at 13:09
  • 2
    $\begingroup$ This question appears to be off-topic because it is about how to use R, but w/o a reproducible example. $\endgroup$ Commented Mar 14, 2014 at 14:01
  • 1
    $\begingroup$ I think there's both a statistical and a coding side to the question, so I think it's potentially on topic $\endgroup$
    – Glen_b
    Commented Mar 14, 2014 at 14:47


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