Survival that does not recognize valuable data

Question

I am trying to run a survival analysis in R using the survival package. I have only censorship data (time for the event, then event "1" or censor "0"). I created a survival object using the Surv function. However, survdiff and coxph give errors, suggesting that they do not recognize this as censorship data. Any tips?

 > surv.dfs <- Surv(DaysFromTx,Event) > surv.dfs [1] 99:1 334:1 1024+ 1341+ 210+ 1069+ 890+ 1242+ 255+ 228+ 349+ 300+ 717+ 2+ 657+ 995+ 491+ 1544+ 265:1 440+ 362:1 845+ [23] 669+ 1176+ 718+ 768+ 1171+ 2276+ 1152+ 207+ 1138+ 1002+ 942+ 644+ 1110+ 179:1 1535+ 841+ 923+ 904+ 367:1 959+ 746+ 1256+ [45] 83:1 439:1 69+ 449+ 591+ 983+ 787+ 704+ 825+ 747+ 28+ 41+ 907+ 181:1 371+ 388+ 166:1 702+ 647+ 944+ 903+ 797+ [67] 1095+ 770:1 1118+ 63:1 1762+ 1662+ 127:1 634+ 312+ 483+ > survdiff(surv.dfs ~ group) 

Error in survdiff (surv.dfs ~ group): censored data only

 > coxph(surv.dfs ~ group) 

Bug in coxph (surv.dfs ~ group): Cox model does not support "honest" survival data.

Answer 1

Is your event a class of factors? it must be numeric or logical. so if your event classes are 0 or 1 , try:

 df$Event <- as.numeric(df$Event)