Thanks! That works well. Best,
Ana >________________________________ >From: Peter Ehlers <ehl...@ucalgary.ca> >To: Ana Kolar <annako...@yahoo.com> >Cc: Sarah Goslee <sarah.gos...@gmail.com>; R <r-help@r-project.org> >Sent: Tuesday, 28 June 2011, 19:37 >Subject: Re: [R] extracting data > >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 >>> >>> >>> >> [[alternative HTML version deleted]] >> > > > > [[alternative HTML version deleted]]
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