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## For multiplication operations, sparseMatrix overrides other method
## selections. Coerce a ddensematrix argument to a dgeMatrix.
## setMethod("%*%", signature(x = "dsparseMatrix", y = "ddenseMatrix"),
## function(x, y) callGeneric(x, as(y, "dgeMatrix")))
## setMethod("%*%", signature(x = "ddenseMatrix", y = "dsparseMatrix"),
## function(x, y) callGeneric(as(x, "dgeMatrix"), y))
setMethod("crossprod", signature(x = "dsparseMatrix", y = "ddenseMatrix"),
function(x, y = NULL) callGeneric(x, as(y, "dgeMatrix")))
setMethod("crossprod", signature(x = "ddenseMatrix", y = "dsparseMatrix"),
function(x, y = NULL) callGeneric(as(x, "dgeMatrix"), y))
## and coerce dsparse* to dgC*
## setMethod("%*%", signature(x = "dsparseMatrix", y = "dgeMatrix"),
## function(x, y) callGeneric(as(x, "dgCMatrix"), y))
## setMethod("%*%", signature(x = "dgeMatrix", y = "dsparseMatrix"),
## function(x, y) callGeneric(x, as(y, "dgCMatrix")))
setMethod("crossprod", signature(x = "dsparseMatrix", y = "dgeMatrix"),
## NB: using callGeneric(.) here, leads to infinite recursion :
function(x, y = NULL) .Call(Csparse_dense_crossprod, as(x, "dgCMatrix"), y))
## NB: there's already
## ("CsparseMatrix", "missing") and ("TsparseMatrix", "missing") methods
setMethod("crossprod", signature(x = "dgeMatrix", y = "dsparseMatrix"),
function(x, y = NULL) callGeneric(x, as(y, "dgCMatrix")))
setMethod("image", "dsparseMatrix",
function(x, ...) image(as(x, "dgTMatrix"), ...))
setMethod("kronecker", signature(X = "dsparseMatrix", Y = "dsparseMatrix"),
function (X, Y, FUN = "*", make.dimnames = FALSE, ...)
callGeneric(as(X, "dgTMatrix"), as(Y, "dgTMatrix")))
setMethod("chol", signature(x = "dsparseMatrix", pivot = "ANY"),
function(x, pivot, ...) {
px <- as(x, "dsCMatrix")
if (isTRUE(validObject(px, test=TRUE))) chol(px, pivot)
else stop("'x' is not positive definite -- chol() undefined.")
})
setMethod("lu", signature(x = "dsparseMatrix"),
function(x, ...) callGeneric(as(x, "dgCMatrix")))
## Group Methods, see ?Arith (e.g.)
## -----
##-> now moved to ./Csparse.R (and 'up' to ./sparseMatrix.R):
## "Math2" is in ./dMatrix.R
### cbind2
setMethod("cbind2", signature(x = "dsparseMatrix", y = "numeric"),
function(x, y) {
d <- dim(x); nr <- d[1]; nc <- d[2]; cl <- class(x)
x <- as(x, "dgCMatrix")
if(nr > 0) {
y <- rep(y, length.out = nr) # 'silent procrustes'
n0y <- y != 0
n.e <- length(x@i)
x@i <- c(x@i, (0:(nr-1))[n0y])
x@p <- c(x@p, n.e + sum(n0y))
x@x <- c(x@x, y[n0y])
} else { ## nr == 0
}
x@Dim[2] <- nc + 1:1
if(is.character(dn <- x@Dimnames[[2]]))
x@Dimnames[[2]] <- c(dn, "")
x
})
## the same, (x,y) <-> (y,x):
setMethod("cbind2", signature(x = "numeric", y = "dsparseMatrix"),
function(x, y) {
d <- dim(y); nr <- d[1]; nc <- d[2]; cl <- class(y)
y <- as(y, "dgCMatrix")
if(nr > 0) {
x <- rep(x, length.out = nr) # 'silent procrustes'
n0x <- x != 0
y@i <- c((0:(nr-1))[n0x], y@i)
y@p <- c(0:0, sum(n0x) + y@p)
y@x <- c(x[n0x], y@x)
} else { ## nr == 0
}
y@Dim[2] <- nc + 1:1
if(is.character(dn <- y@Dimnames[[2]]))
y@Dimnames[[2]] <- c(dn, "")
y
})
setMethod("cbind2", signature(x = "dsparseMatrix", y = "matrix"),
function(x, y) callGeneric(x, as(y, "dgCMatrix")))
setMethod("cbind2", signature(x = "matrix", y = "dsparseMatrix"),
function(x, y) callGeneric(as(x, "dgCMatrix"), y))
setMethod("cbind2", signature(x = "dsparseMatrix", y = "dsparseMatrix"),
function(x, y) {
nr <- rowCheck(x,y)
## beware of (packed) triangular, symmetric, ...
hasDN <- !all(lapply(c(dnx <- dimnames(x),
dny <- dimnames(y)), is.null))
ans <- .Call(Csparse_horzcat,
as(x, "dgCMatrix"), as(y, "dgCMatrix"))
if(hasDN) {
## R and S+ are different in which names they take
## if they differ -- but there's no warning in any case
rn <- if(!is.null(dnx[[1]])) dnx[[1]] else dny[[1]]
cx <- dnx[[2]] ; cy <- dny[[2]]
cn <- if(is.null(cx) && is.null(cy)) NULL
else c(if(!is.null(cx)) cx else rep.int("", ncol(x)),
if(!is.null(cy)) cy else rep.int("", ncol(y)))
ans@Dimnames <- list(rn, cn)
}
ans
})
setMethod("rbind2", signature(x = "dsparseMatrix", y = "dsparseMatrix"),
function(x, y) {
nr <- colCheck(x,y)
## beware of (packed) triangular, symmetric, ...
hasDN <- !all(lapply(c(dnx <- dimnames(x),
dny <- dimnames(y)), is.null))
ans <- .Call(Csparse_vertcat,
as(x, "dgCMatrix"), as(y, "dgCMatrix"))
if(hasDN) {
## R and S+ are different in which names they take
## if they differ -- but there's no warning in any case
cn <- if(!is.null(dnx[[2]])) dnx[[2]] else dny[[2]]
rx <- dnx[[1]] ; ry <- dny[[1]]
rn <- if(is.null(rx) && is.null(ry)) NULL
else c(if(!is.null(rx)) rx else rep.int("", nrow(x)),
if(!is.null(ry)) ry else rep.int("", nrow(y)))
ans@Dimnames <- list(rn, cn)
}
ans
})
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