hi, i'm really in trouble to simulate some experiment. that is, it takes too much time to process the following code.
following is short example, ------------------------------------------------------------------------------------------------------- p<-data.frame(a=rnorm(10),b=rnorm(10),c=rnorm(10),d=rnorm(10)) test<-data.frame(a=rnorm(1),b=rnorm(1),c=rnorm(1),d=rnorm(1)) result<-list() for(i in 1:nrow(p)){ result[[i]]<-sum((p[i,]-test)^2) } result_1<-unlist(result) p_1<-cbind(p,result_1) ------------------------------------------------------------------------------------------------------- is there any efficient way to shorten the time and make same output? -- View this message in context: http://r.789695.n4.nabble.com/how-to-speed-up-the-inefficient-code-tp4478046p4478046.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.