Hi, Try this:
set.seed(1) Dataframe_A<-data.frame(x=sample(1:10,5,replace=TRUE),y=rnorm(5,15)) set.seed(1) Dataframe_B<-data.frame(x=sample(3:15,6,replace=TRUE),z=rnorm(6,10)) Dataframe_A[!Dataframe_A[[1]] %in% Dataframe_B[[1]],] # Milan's code had ...B[[2]] #or subset(Dataframe_A,!x%in%Dataframe_B[,1]) # x y #1 3 16.27243 #2 4 15.41464 #5 3 14.70528 ----- Original Message ----- From: Milan Bouchet-Valat <nalimi...@club.fr> To: Chintanu <chint...@gmail.com> Cc: R help <r-help@r-project.org> Sent: Monday, September 24, 2012 3:30 AM Subject: Re: [R] Rows not common in dataframes Le lundi 24 septembre 2012 à 13:22 +1000, Chintanu a écrit : > Hi, > > I have two dataframes (Dataframe_A, Dataframe_B) with the same no. of > columns. The first column of both the dataframes contains unique names. > I wish to have Dataframe_A with the rows that are NOT common to > Dataframe_B. So you just want to drop some rows from A? In that case, do: Dataframe_A <- Dataframe_A[!Dataframe_A[[1]] %in% Dataframe_B[[2]],] > With merge (), it is possible to get the common rows or to merge rows, but > I am not quite sure how to do it in a simpler way. Any help would be much > appreciated. No need for merge, as all rows you need are already in A. My two cents ______________________________________________ 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. ______________________________________________ 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.
