Greetings Friends, I would be grateful if you can help me undestand how to make my R code more efficiently.
I have read in R intoductory tutorial that a for loop is not used so ofter (and is not maybe not that efficient) compared to other languages. So I am trying to build understanding how to get the equivalent of a for loop using more R-oriented thinking. If I got it right one way to do that in R is Vectorize. So I have writen a small snippet of code with two nested for loops. I would be grateful if you can help me find the equivalent of this code using Vectorize (or any other R thinking) My code takes as input a n*m matrix and prints the x,y coordinates where a cells starts and ends. remap <- function (sr){ # Input this funcion takes as arguments # sr: map startpos<- -1 # endpos<- +1 # stepx<- (endpos - (startpos)) / nrow(sr) stepy<- (endpos - (startpos)) / ncol(sr) for (i in seq(from=-1,to=1,by=stepx) ) { for (j in seq(from=-1,to=1,by=stepx) ){ cat(' \n',i,j) } } } sr<-matrix(data=seq(from=1,to=9),nrow=3,ncol=3,byrow=TRUE) remap(sr) Regards Alex ______________________________________________ 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.