Try this:
subset(merge(as.data.frame(A),
cbind(as.data.frame(B), ID=1), all = T), is.na(ID), select = -ID)
On Mon, Jul 6, 2009 at 8:39 AM, dreamworx <andy_wools...@hotmail.com> wrote:
>
> I have 2 matrices. One which contains a complete set of row combinations.
> Another which contains a subset of the first. What I would like to extract
> is the rows which are in the first but not repeated in the second. For
> instance if the following were my two matrices,
>
> A
> [,1] [,2] [,3] [,4]
> [1,] 1 2 3 4
> [2,] 1 2 3 5
> [3,] 1 2 3 6
> [4,] 1 2 3 7
> [5,] 1 2 3 8
> [6,] 1 2 3 9
>
>
> B
> [,1] [,2] [,3] [,4]
> [1,] 1 2 3 4
> [2,] 1 2 3 5
> [3,] 1 2 3 6
> [4,] 1 2 3 9
>
>
> I would like to extract the following,
>
> [,1] [,2] [,3] [,4]
> [1,] 1 2 3 7
> [2,] 1 2 3 8
>
> I would like to know if there is a simple solution to this problem? If I
> added the matrices and used the unique function, could I track which rows
> have been deleted? Otherwise, I can only think of performing a loop with an
> if statement.
> --
> View this message in context:
> http://www.nabble.com/Extracting-only-the-non-repeated-rows-of-matrices-tp24353933p24353933.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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>
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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