On 09/18/2013 10:43 PM, ioanna ioannou wrote:
Hello all,A very simple problem. Lets assume I have an interval [0,1] and I split it in 6 bins having thresholds: pro= cbind(0, 0.3675509, 0.8618615, 0.9814291, 0.9975283, 0.9997789, 1.0000000, 0, 0.3662881, 0.8609743, 0.9812032, 0.9974822, 0.9997738, 1.0000000) dim(pro)<-c(7,2) I randomly generate a number and I want to identify which bin it belongs to. How? What I provide below doesn't seem to be working. Any ideas? for (i in 1:2){ ids<-runif(1) for (j in 1:length(pro[,i])-1){ if (ids< pro[j,i]) { ds[i]<-j } else { ds[i]<-6 } } }
Hi Ioanna, Does: ids<-runif(1) bin<-which(ids<pro)[1]-1 do what you want? Jim ______________________________________________ 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.
