Hi all, I have a question concerning using several conditions in an ifelse function used as the function in apply. I want to create a new value with the function ifelse ‘ object which can be coerced to logical mode “test[n,] >1 & test[n-1,]==0” With n I mean the row. I don’t know how I could do this without a loop. I want to avoid the usage of loops and was thinking about apply. This was what I was thinking about:
test<-data.frame(C=c(0,0,0,0,5,2,0,0,0,15,12,10,6,0,0,0),B=c(0,0,0,0,9,6,2,0,0,24,20,16,2,0,0,0),F=c(0,0,0,0,6,5,1,0,0,18,16,12,10,5,1,0)) test.b<-test[-(nrow(test)),] test.2b<-rbind(0,test.b) result<-as.data.frame(apply(test,M=2,function(x)ifelse((test>1&test.2b==0),1,0))) But I get 3 times the amount of rows than that I want… what I should achieve: test.result<-data.frame(C=c(0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0),B=c(0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0),F=c(0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0)) Has someone a suggestions about what I’m doing wrong? Many thanks, Nerak -- View this message in context: http://r.789695.n4.nabble.com/apply-with-as-function-ifelse-with-2-logical-conditions-tp4403637p4403637.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.
