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#### Logical Sparse Matrices in Compressed column-oriented format
### contains = "nsparseMatrix"
## Can use CsparseMatrix methods for all of these
## setMethod("%*%", signature(x = "ngCMatrix", y = "ngCMatrix"),
## function(x, y)
## .Call(ngCMatrix_ngCMatrix_mm, x, y),
## valueClass = "ngCMatrix")
## setMethod("t", signature(x = "ngCMatrix"),
## function(x) .Call(ngCMatrix_trans, x),
## valueClass = "ngCMatrix")
## setMethod("diag", signature(x = "ngCMatrix"),
## function(x, nrow, ncol = n) .Call(ngCMatrix_diag, x))
## setMethod("crossprod", signature(x = "ngCMatrix", y = "missing"),
## function(x, y = NULL)
## .Call(ngCMatrix_crossprod, x, TRUE, NULL),
## valueClass = "nsCMatrix")
## setMethod("tcrossprod", signature(x = "ngCMatrix", y = "missing"),
## function(x, y = NULL)
## .Call(ngCMatrix_crossprod, x, FALSE, NULL),
## valueClass = "nsCMatrix")
setAs("ngCMatrix", "dgCMatrix",
function(from) new("dgCMatrix", i = from@i, p = from@p,
x = rep(1, length(from@i)),
Dim = from@Dim, Dimnames = from@Dimnames))
setAs("ngCMatrix", "ngTMatrix",
function(from) new("ngTMatrix", i = from@i,
j = .Call(Matrix_expand_pointers, from@p),
Dim = from@Dim, Dimnames = from@Dimnames))
setAs("ngCMatrix", "ngeMatrix",
function(from)
new("ngeMatrix", x = c(as(from, "matrix")), # is fast,
Dim = from@Dim, Dimnames = from@Dimnames))
setAs("ngCMatrix", "matrix",
function(from) .Call(ncsc_to_matrix, from))
## TODO (maybe): write matrix_to_lcsc() in ../src/ngCMatrix.c
setAs("matrix", "ngCMatrix",
function(from) as(as(from, "ngTMatrix"), "ngCMatrix"))
setMethod("image", "ngCMatrix",
function(x, ...) {
x <- as(as(x, "dgCMatrix"), "dgTMatrix")
callGeneric()
})
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