Hello all,
I create the following matrix:
m <- matrix(1:20, nrow = 10, ncol = 2)
which looks like:
[,1] [,2]
[1,] 1 11
[2,] 2 12
[3,] 3 13
[4,] 4 14
[5,] 5 15
[6,] 6 16
[7,] 7 17
[8,] 8 18
[9,] 9 19
[10,] 10 20
Then, I want to remove randomly 2 rows among the ones where m[,1]<8
and m[,2]>12
I suppose the best way is to use the sample() function. I understand
how to do it when I remove among any rows, but I have not been able to
do it when I remove among specific rows only. What I could do is split
the matrix into two matrices, one with the rows to be sampled and
removed, one with the other rows. I would sample and remove, and then
merge the two matrices again. But since this part of the code is going
to be done many times, I would like to have it the most efficient
possible without creating new objects. Any idea? Thanks!
Cheers
Guillaume
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