Rows not common in dataframes

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 <nalimilan at club.fr>
To: Chintanu <chintanu at gmail.com>
Cc: R help <r-help at r-project.org>
Sent: Monday, September 24, 2012 3:30 AM
Subject: Re: [R] Rows not common in dataframes

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

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