Hm
r-help-boun...@r-project.org napsal dne 25.08.2010 09:43:26:
> Dear Mr Petr Pikal
>
> I am extremely sorry for the manner I have raised the query. Actually
that was
> my first post to this R forum and in fact even I was also bit confused
while
> drafting the query, for which I really owe sorry to all for consuming
the
> precious time. Perhaps I will try to redraft my query in a better way as
follows.
>
> I have two datasets "A" and "B" containing the names of branch offices
of a
> particular bank say XYZ plc bank. The XYZ bank has number of main branch
> offices (say Parent) and some small branch offices falling under the
purview
> of these main branch offices (say Child).
>
> The datalist "A" and "B" consists of these main branch office names as
well as
> small branch office names. B is subset of A and these branch names are
coded.
> Thus we have two datasets A and B as (again I am using only a
> portion of a large database just to have some idea)
>
>
> A B
> 144
^^^^what is here in B? Empty space?,
> 145
> 146
> 147 144
How do you know that 144 from B relates to 147 in A? Is it according to
its positions? I.e. 4th item in B belongs to 4.th item in A?
> 148 145
>
> 149 147
> 151 148
>
>
>
> Now the branch 144 appears in A as well as in B and in B it is mapped
with
> 147. This means branch 147 comes under the purview of main branch 144.
Again
> 147 is controlling the branch 149 (since 147 also has appeared in B and
is
> mapped with 149 of A).
>
> Similarly, branch 145 is controlling branch 148 which further controls
> operations of bank branch 151 and like wise.
Well as you did not say anything about structure of your data
A<-144:151
B<-144:148
data.frame(A,B)
A B
1 144 NA
2 145 NA
3 146 NA
4 147 144
5 148 145
6 149 146
7 150 147
8 151 148
DF<-data.frame(A,B)
main<-DF$A[is.na(DF$B)]
branch1<-DF[!is.na(DF$B),]
selected.branch1<-branch1$A[branch1$B%in%main]
branch2<-branch1[!branch1$B%in%main,]
selected.branch2<-branch2$A[branch2$B%in%selected.branch1]
and for cbinding your data which has uneven number of values see Jim
Holtman's answer to this
How to cbind DF:s with differing number of rows?
Regards
Petr
>
> So in the end I need an output something like -
>
> Main Branch Branch office1 Branch
> office2
> 144 147 149
> 145 148 151
> 146 NA
> NA
>
...............................................................................
>
..............................................................................
>
>
> I understand again I am not able to put forward my query properly. But I
must
> thank all of you for giving a patient reading to my query and for
reverting
> back earlier. Thanks once again.
>
> With warmest regards
>
> Mike
>
>
> --- On Wed, 25/8/10, Petr PIKAL <petr.pi...@precheza.cz> wrote:
>
> From: Petr PIKAL <petr.pi...@precheza.cz>
> Subject: Odp: [R] Finding
> pairs
> To: "Mike Rhodes" <mike_simpso...@yahoo.co.uk>
> Cc: r-help@r-project.org
> Date: Wednesday, 25 August, 2010, 6:39
>
> Hi
>
> without other details it is probably impossible to give you any
reasonable
> advice. Do you have your data already in R? What is their form? Are they
> in 2 columns in data frame? How did you get them paired?
>
> So without some more information probably nobody will invest his time as
> it seems no trivial to me.
>
> Regards
> Petr
>
> r-help-boun...@r-project.org napsal dne 24.08.2010 20:28:42:
>
> >
> >
> >
> >
> > Dear R Helpers,
> >
> >
> > I am a newbie and recently got introduced to R. I have a large
database
> > containing the names of bank branch offices along-with other details.
I
> am
> > into Operational
> Risk as envisaged by BASEL II Accord.
> >
> >
> > I am trying to express my problem and I am using only an indicative
data
> which
> > comes in coded format.
> >
> >
> >
> >
> > A (branch) B (controlled by)
> >
> >
> > 144
> > 145
> > 146
> > 147 144
> > 148 145
> > 149
> 147
> > 151 146
> > ...... .......
> >
> > ...... .......
> >
> >
> > where 144's etc are branch codes in a given city and B is subset of A.
> >
> >
> >
> >
> > If a branch code appearing in "A" also appears in "B" (which is paired
> with
> > some otehr element of A e.g. 144 appearing in A, also appears in "B"
and
> is
> > paired with 147 of "A" and
> likewise), then that means 144 is controlling
>
> > operations of bank office 147. Again, 147 itself appears again in B
and
> is
> > paired with bank branch coded 149. Thus, 149 is controlled by 147 and
> 147 is
> > controlled by 144. Likewise there are more than 700 hundred branch
name
> codes available.
> >
> >
> > My objective is to group them as follows -
> >
> >
> > Bank Branch
> >
> >
> > 144 147 149
> >
> >
> > 145
> >
> >
> > 146 151
> >
> >
> > 148
> > .....
> >
> >
> > or even the following output will do.
> >
> >
> > 144
> > 147
> > 149
> >
> >
> > 145
> >
> >
> > 146
> > 151
> >
> >
> > 148
> > 151
> > ......
> >
> >
> > I understand I should be writing some R
> code to begin with which I had
> tried
> > also but as of now I am helpless. Please guide me.
> >
> >
> > Mike
> >
> >
> >
> >
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > 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.
>
>
>
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> 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.
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