On 2011-06-28 09:54, Ana Kolar wrote:
Hi Sarah,
Thank you for your response. Here is a toy example:
library(MatchIt)
data(lalonde)
A<-lalonde
f<-treat ~ age + I(age^2) + educ + I(educ^2) + black + hispan +
married + nodegree + re74 + I(re74^2) + re75 + I(re75^2)
m<-"nearest"
m.out.base<- matchit(formula=f, data=A, method=m)
B<- match.data(m.out.base)
An<- nrow(A)
Bn<- nrow(B)
Cn<- An - Bn
C<- ??
Can't you just use
idx <- setdiff(rownames(A), rownames(B))
C <- A[idx, ]
Peter Ehlers
________________________________
From: Sarah Goslee<sarah.gos...@gmail.com>
To: Ana Kolar<annako...@yahoo.com>
Cc: R<r-help@r-project.org>
Sent: Tuesday, 28 June 2011, 18:44
Subject: Re: [R] extracting data
Hi Ana,
On Tue, Jun 28, 2011 at 12:28 PM, Ana Kolar<annako...@yahoo.com> wrote:
Let's say I have an original data set which is called A and data extracted from
this original data set, called B. Based on these A and B data set I would like
to get data set C which includes all the remaining data from the data set A
after we exclude data of the data set B.
Any idea how to do this?
Yes. Several.
But to know which one to suggest, I need to know more about your data.
How about a toy example, so the list members can see your index
variables, etc? Or how you created the subset B, and why you can't
just use the opposite of that procedure?
Sarah
--
Sarah Goslee
http://www.functionaldiversity.org
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