Hi there I have two tables, with longitudinal and latitudinal coordinates. what I want is a cross table between each coordinate, to find the distance between each building and different landmarks
I currently have this nested loop which is fine for when i have 10 stores of interest, against 200 other landmarks and uses pythagarus to find the distance for(i in 1:nrow(store_c)){ landmark_store_cross_tab$foo=landmark_c$landmark_name for (j in 1:nrow(landmark_c)){ landmark_store_cross_tab[j,i+1]=sqrt((landmark_c$x[j]-store_c$x[i])^2 +(landmark_c$y[j]-store_c$y[i])^2)/1000 } names(landmark_store_cross_tab)[i+1]=store_c$store_name[i] } can someone suggest how I can make this faster? I am hoping to use one of the apply functions Thanks -- View this message in context: http://n4.nabble.com/Help-with-Nested-loop-very-slow-can-I-use-an-apply-tp954979p954979.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.