[R] Measure the frequencies of pairs in a matrix

[Hermann Norpois]

Ok, this was misleading. And was not that important. My result matrix
should look like this:

  1    2   3   4   5   6   7 ...
1 p1 p2
2 p
3
4

p1 etc are the frequencies of the combinations

1 and 2 for instance do not appear in my example. So the values would be
zero. Actually, this part is not too important. I would be happy enough to
solve the challenge with the frequencies of the pairs.
Thanks Hermann

2015-10-07 2:40 GMT+02:00 Boris Steipe <boris.steipe at utoronto.ca>:

> Since order is not important to you, you can order your pairs (e.g.
> decreasing) before compiling the frequencies.
> But I don't understand the second part about values "that do not appear in
> the matrix". Do you mean you want to assess all combinations? If that's the
> case I would think about a hash table or other indexed data structure,
> rather than iterating through a matrix.
>
>
> B.
>
>
>
> On Oct 6, 2015, at 4:59 PM, Hermann Norpois <hnorpois at gmail.com> wrote:
>
> > Hello,
> >
> > I have a matrix mat (see dput(mat))
> >
> >> mat
> >      [,1] [,2]
> > [1,]    5    6
> > [2,]    6    5
> > [3,]    5    4
> > [4,]    5    5
> > ....
> >
> > I want the frequencies of the pairs in a new matrix, whereas the
> > combination 5 and 6 is the same as 6 and 5 (see the first two rows of
> mat).
> > In other words: What is the probability of each combination (each row)
> > ignoring the order in the combination. As a result I would like to have a
> > matrix that includes rows and cols 0, 1, 2 ... max (mat) that do not
> appear
> > in my matrix.
> >
> > dput (mat)
> > structure(c(5, 6, 5, 5, 4, 3, 6, 7, 4, 7, 5, 5, 5, 5, 6, 5, 5,
> > 4, 3, 6, 7, 4, 7, 5, 5, 5, 6, 5, 4, 5, 5, 7, 5, 6, 3, 5, 6, 7,
> > 6, 6, 5, 4, 5, 5, 7, 5, 6, 3, 5, 6, 7, 6), .Dim = c(26L, 2L))
> >
> > Thanks
> > Hermann
> >
> >       [[alternative HTML version deleted]]
> >
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> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> and provide commented, minimal, self-contained, reproducible code.
>

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