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## METHODS FOR GENERIC: qr
## QR factorization of dense and sparse matrices
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
## FIXME? We could have methods for generalMatrix, symmetricMatrix,
## triangularMatrix, and diagonalMatrix instead? We could
## construct the result "directly" in the upper triangular
## (incl. diagonal) cases, and cache it in the general and
## symmetric cases. See the methods for chol() in ./chol.R ...
## base::qr.default(x) does x <- as.matrix(x) and storage.mode(x) <- "double",
## hence if we deprecate as.matrix(<Matrix>), then we would need this:
if(.Matrix.avoiding.as.matrix) {
setMethod("qr", signature(x = "denseMatrix"),
function(x, ...)
qr.default(as(x, "matrix"), ...))
}
setMethod("qr", signature(x = "sparseMatrix"),
function(x, ...)
qr(..sparse2d(.sparse2g(as(x, "CsparseMatrix"))), ...))
setMethod("qr", signature(x = "dgCMatrix"),
function(x,
## also had
## > tol = 1e-07, LAPACK = FALSE,
## from base::qr.default() but these are unused
## _and_ not needed for generic consistency ...
keep.dimnames = TRUE,
verbose = getOption("Matrix.verbose", FALSE), ...)
.Call(dgCMatrix_QR, x, if(verbose) -1L else 1L, keep.dimnames))
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