Hi,
I have C code to produce a lot of matrices to be analyzed. As these
matrices are large (> 1000*10000) and are a lot (> 1000), I am thinking
about how to pass them from C to R effectively.
Would you think about the following solution? In R, I create a wrapper
function
passDataFromCToR = function(row, col) {
mat = matrix(0, row, col)
.C("passDataFromCToR",mat)[[1]]
}
It wraps the following C function
void passDataFromCToR (double *m, int *row, int* col){
mymat = f() // my c function to produce a matrix
// then I copy mymat to m element by element via a loop
}
Then to use these functions, I would write in R
mat = passDataFromCToR(1000, 10000)
Two issues with this approach are that 1) I have to copy the data once and
2)to the worse, in R I have to know the dimension of the matrices to be
passed from C. This information is not always available.
I would appreciate if you share with me your thoughts on how to solve this
problem better.
thanks
Jeff
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