Quantiles for Kaplan-Meier and Aalen-Johansen estimates.
Quantiles for Kaplan-Meier and Aalen-Johansen estimates.
## S3 method for class 'prodlim' quantile(x, q, cause = 1, ...)
x |
Object of class |
q |
Quantiles. Vector of values between 0 and 1. |
cause |
For competing risks the cause of interest. |
... |
not used |
Thomas Alexander Gerds <tag@biostat.ku.dk>
library(lava) set.seed(1) d=SimSurv(30) # Quantiles of the potential followup time g=prodlim(Hist(time,status)~1,data=d,reverse=TRUE) quantile(g) # survival time f=prodlim(Hist(time,status)~1,data=d) f1=prodlim(Hist(time,status)~X1,data=d) # default: median and IQR quantile(f) quantile(f1) # median alone quantile(f,.5) quantile(f1,.5) # competing risks set.seed(3) dd = SimCompRisk(30) ff=prodlim(Hist(time,event)~1,data=dd) ff1=prodlim(Hist(time,event)~X1,data=dd) ## default: median and IQR quantile(ff) quantile(ff1) print(quantile(ff1),na.val="NA") print(quantile(ff1),na.val="Not reached")
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