How about
a <- which(row(matchM)!=matchM)
b <- matchM[a]
diag(collusionM[a,b]) <-1
Nikhil Kaza
Asst. Professor,
City and Regional Planning
University of North Carolina
nikhil.l...@gmail.com
On Aug 8, 2010, at 8:43 PM, david h shanabrook wrote:
It is a simple problem in that I simply want to convert the For loop
to a more efficient method. It simply loops through a large vector
checking if the numeric element is not equal to the index of that
element. The following example demonstrates a simplified example:
rows <- 10
collusionM <- Matrix(0,10,10,sparse=TRUE)
matchM <- matrix(c(1,2,3,4,4,6,7,9,9,10))
for (j in 1:rows) if (j != matchM[j]) collusionM[j,matchM[j]] <-
collusionM[j,matchM[j]]+1
collusionM
10 x 10 sparse Matrix of class "dgCMatrix"
[1,] . . . . . . . . . .
[2,] . . . . . . . . . .
[3,] . . . . . . . . . .
[4,] . . . . . . . . . .
[5,] . . . 1 . . . . . .
[6,] . . . . . . . . . .
[7,] . . . . . . . . . .
[8,] . . . . . . . . 1 .
[9,] . . . . . . . . . .
[10,] . . . . . . . . . .
Again, this works, I just need the for loop to be more efficient as
in my application rows=37000, and I need to do this 100 times.
Thanks.
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