HI,
here is another solution:
int <- sample(1:20,10)
int
[1] 10 4 5 2 14 17 9 11 16 13
mat<-matrix(11:30,ncol=4)
mat
[,1] [,2] [,3] [,4]
[1,] 11 16 21 26
[2,] 12 17 22 27
[3,] 13 18 23 28
[4,] 14 19 24 29
[5,] 15 20 25 30
mat[apply(mat,1, function(x) any(int==x[1])),]
[,1] [,2] [,3] [,4]
[1,] 11 16 21 26
[2,] 13 18 23 28
[3,] 14 19 24 29
Andrija
On Sat, Apr 2, 2011 at 7:08 AM, Joseph N. Paulson
<josephpaul...@gmail.com>wrote:
> Hi all!
>
> I have a vector, let's say for example int <- sample(1:20,10);
> for now:
>
> now I have a matrix...
> M = m x n
> where the first column is a "feature" column and most likely shares at
> least
> one of the int (interesting) numbers.
>
> I want to extract the rows where int[] = M[,1]
>
> I thought:
> rownames(int)<-int;
> rownames(M)<-M[,1];
>
> M[rownames(int),] would work, but it doesn't... (I assume because I have
> rownames(int) that are not found in M[,1]. Neither does,
> rownames(M)==rownames(int)...
>
> Any help would be greatly appreciated!
>
> Thank you!
>
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>
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