 Dear R-users,
 
I  have two questions regarding validation and calibration of Survival regression models.
 
1.  I am trying to calibrate and validate a cox model using val.surv.
here is my code:
 f.1<-cph(Surv(time,event)~age, x=T, y=T, data=train)
 test1<-test[,"age"]
 val.surv(f.1, newdata=data.frame(test1), u=10)
 
 but I get an error message:
 
 Error in val.surv(f.1, newdata = data.frame(testi), u = 10) :
  dims [product 1797] do not match the length of object [2496]
 In addition: Warning message:
In est.surv + S[, 1] :
  longer object length is not a multiple of shorter object length
 
 I ran the example in the r-documentation but couldn't extract  dxy from result.
 
 What am I doing wrong?  
 
 2.  In validate and calibrate cph functions. If it is frailty fit, does the the bootstrap resample clusters or just individuals
 
 regards,
 
 Salvo Mac
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