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#### Logical Symmetric Sparse Matrices in Compressed column-oriented format
### contains = "nsparseMatrix"
setAs("nsCMatrix", "matrix",
function(from) as(as(from, "ngCMatrix"), "matrix"))
setAs("nsCMatrix", "ngCMatrix",
function(from) .Call(Csparse_symmetric_to_general, from))
## Specific conversions, should they be necessary. Better to convert as
## as(x, "TsparseMatrix") or as(x, "denseMatrix")
setAs("nsCMatrix", "nsTMatrix",
function(from) .Call(Csparse_to_Tsparse, from, FALSE))
## Not needed, once we use "nCsparseMatrix" (-> ./ngCMatrix.R ):
setAs("nsCMatrix", "dMatrix", .nC2d)
setAs("nsCMatrix", "dsparseMatrix", .nC2d)
setAs("nsCMatrix", "dsCMatrix", .nC2d)
##
setAs("nsCMatrix", "lMatrix", .nC2l)
setAs("nsCMatrix", "lsparseMatrix", .nC2l)
setAs("nsCMatrix", "lsCMatrix", .nC2l)
## have rather tril() and triu() methods than
## setAs("nsCMatrix", "ntCMatrix", ....)
setMethod("tril", "nsCMatrix",
function(x, k = 0, ...) {
if(x@uplo == "L" && k == 0)
## same internal structure + diag
new("ntCMatrix", uplo = x@uplo, i = x@i, p = x@p,
Dim = x@Dim, Dimnames = x@Dimnames)
else tril(as(x, "ngCMatrix"), k = k, ...)
})
setMethod("triu", "nsCMatrix",
function(x, k = 0, ...) {
if(x@uplo == "U" && k == 0)
new("ntCMatrix", uplo = x@uplo, i = x@i, p = x@p,
Dim = x@Dim, Dimnames = x@Dimnames)
else triu(as(x, "ngCMatrix"), k = k, ...)
})
setMethod("chol", signature(x = "nsCMatrix"),
function(x, pivot=FALSE, ...) stop("temporarily disabled"))## FIXME
## Use more general method from CsparseMatrix class
## setMethod("t", signature(x = "nsCMatrix"),
## function(x)
## .Call(nsCMatrix_trans, x),
## valueClass = "nsCMatrix")
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