columnwise nnzero for dgCMatrix
Hi:
What about
colSums(mymat != 0)
?
# Example:
x <- matrix(sample(c(-1, 0, 1, 2), 100, replace = TRUE, prob = c(0.1,
0.8, 0.07, 0.03)),
nrow = 25)
which(x != 0) # 17 nonzero elements in this matrix
[1] 9 17 27 32 36 41 44 45 49 50 62 67 68 72 76 78 82
colSums(x != 0)
[1] 2 8 4 3
Dennis
On Sun, Jun 26, 2011 at 3:15 AM, C6H5NO2 <C6H5NO2 at gmail.com> wrote:
Hi R users,
I want to know whether there is a fast method to compute the nonzeroes for
each column of dgCMatrix.
For summation or average I can use colSums or colMeans. To count the
non-zeroes I write a function
colCounts <- function(Mat) {
? ?M1 <- apply(Mat, MARGIN=2, FUN=nnzero)
}
But it seems this is quite slow because the apply function would transform a
dgCMatrix to a matrix.
So I come here to ask if there is anybody know some fast method.
--
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