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Dear Members, I have two different dataframes with a different number of rows. I need to apply a set of functions to each possible combination of rows with one row coming from 1st dataframe and other from 2nd dataframe. Though I am able to perform this task using for loops, I feel that there must be a more efficient way to do it. An example case is given below. D1 and D2 are two dataframes. I need to evaluate D3 with one column as the Euclidean distance in the x-y plane and second column as squared difference of z values, of each row pair from D1 and D2. D1<-data.frame(x=1:5,y=6:10,z=rnorm(5)) D2<-data.frame(x=19:30,y=41:52,z=rnorm(12)) D3<-data.frame(distance=integer(0),difference=integer(0)) for (i in 1:nrow(D1)){ for (j in 1:nrow(D2)) { temp<-data.frame(distance=sqrt(sum((D1[i,1:2]-D2[j,1:2])^2)),difference=(D1[i,3]-D2[j,3])^2) D3<-rbind(D3,temp) } } Thank you -----Original Message----- From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of r-help-ow...@r-project.org Sent: Friday, June 23, 2017 10:47 AM To: Rathore, Saubhagya Singh <saubha...@gatech.edu> Subject: R version 3.3.2, Windows 10: Applying a function to each possible pair of rows from two different data-frames The message's content type was not explicitly allowed ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.