Dear, I want to analyze two-level survival data using a shared frailty model, for which I want to use the R package 'Frailtypack", proposed by Rondeau et al. The dataset was built using SAS software. I also tried to change the format using SPSS and Excell.
My (reduced) dataset has following column names: ID entry time status family var1 I used following command: > frailtyPenal(Surv(time, status) ~var1 + cluster(family), Frailty=TRUE > ,n.knots=8, kappa1=1500, + cross.validation=FALSE) And got this error : Error in Surv(time, status) : Time variable is not numeric In addition: Warning message: In is.na(time) : is.na() applied to non-(list or vector) of type 'closure' I think R transforms the data when importing into R, so that the observations are not numeric anymore. Does anyone know how to handle this problem? Thanks, Marie -- View this message in context: http://www.nabble.com/Error-in-Surv%28time%2C-status%29-%3A-Time-variable-is-not-numeric-tp21674025p21674025.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
