Le lundi 24 septembre 2012 ? 13:22 +1000, Chintanu a ?crit :
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