Dear R-help, I'm very sorry to ask 2 questions in a week. I am using the package 'crr' and it does exactly what I need it to when I use the dataset a. However, when I use dataset b I get the following error message: Error in drop(.Call("La_dgesv", a, as.matrix(b), tol, PACKAGE = "base")) : system is computationally singular: reciprocal condition number = 1.28654e-24
This is obviously as a result of a problem with the data but apart from dataset a having 1674 rows and dataset b having 701 rows there is really no difference between them. The code I am using is as follows where covaea and covaeb are matrices of covarites, all coded as binary variables. In case a: > covaea <- > cbind(sexa,fsha,fdra,nsigna,eega,th1a,th2a,stype1a,stype2a,stype3a,pgu1a,pgu2a,log(agea),firstinta/1000,totsezbasea) > fita <- crr(snearma$with.Withtime,csaea,covaea,failcode=2,cencode=0) and in case b: > covaeb <- > cbind(sexb,fshb,fdrb,nsignb,eegb,th1b,th2b,stype1b,stype2b,stype3b,stype4b,stype5b,pgu1b,pgu2b,(ageb/10)^(-1),firstintb,log(totsezbaseb)) > fitb <- crr(snearmb$with.Withtime,csaeb,covaeb,failcode=2,cencode=0) csaea and csaeb are the censoring indicators for a and b respectively which equal 1 for the event of interest, 2 for the competing risks event and 0 otherwise. Can anyone suggest a reason for the error message? I've tried running fitb with variants of covaeb and irrespective of the order of the covariates in the matrix, the code runs fine with 16 of the 17 covariates included but then produces an error message when the 17th is added. Thank you for your help, Laura ______________________________________________ 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.