https://github.com/cran/Matrix
Tip revision: 6e3a285a54029b0dd2f4c00e0e394a9000223e52 authored by Martin Maechler on 02 May 2016, 15:51:43 UTC
version 1.2-6
version 1.2-6
Tip revision: 6e3a285
Rsparse.R
#### Sparse Matrices in Compressed row-oriented format
#### --- "R"
### ``mainly for completeness'' --- we *do* favour Csparse
## - - - - - - - - - - - - hence only "minimal" methods here !
## see also ./SparseM-conv.R
### contains = "dMatrix"
## compressed_to_TMatrix -- fails on 32bit--enable-R-shlib with segfault {Kurt}
## ------------ --> ../src/dgCMatrix.c
.R.2.T <- function(from) .Call(compressed_to_TMatrix, from, FALSE)
## slow R-level workaround
## this is cheap; alternative: going there directly, using
## i <- .Call(Matrix_expand_pointers, from@p),
if(FALSE)
.R.2.T <- function(from) as(.R.2.C(from), "TsparseMatrix")
## R_to_CMatrix
## ------------ --> ../src/dgCMatrix.c
.R.2.C <- function(from) .Call(R_to_CMatrix, from)
if(FALSE)## "slow" unneeded R-level version
.R.2.C <- function(from)
{
cl <- class(from)
valid <- c("dgRMatrix", "dsRMatrix", "dtRMatrix",
"lgRMatrix", "lsRMatrix", "ltRMatrix",
"ngRMatrix", "nsRMatrix", "ntRMatrix",
"zgRMatrix", "zsRMatrix", "ztRMatrix")
icl <- match(cl, valid) - 1L
if(is.na(icl)) stop(gettextf("invalid class: %s", dQuote(cl)), domain=NA)
Ccl <- sub("^(..)R","\\1C", cl) # corresponding Csparse class name
r <- new(Ccl)
r@Dim <- from@Dim[2:1]
if(icl %/% 3 != 2) ## not "n..Matrix" --> has 'x' slot
r@x <- from@x
if(icl %% 3 != 0) { # symmetric or triangular
r@uplo <- from@uplo
if(icl %% 3 == 2) # triangular
r@diag <- from@diag
}
r@i <- from@j
r@p <- from@p
r <- t(r)
r@Dimnames <- from@Dimnames
r
}
## However, a quick way to "treat a t(<R..>) as corresponding <C..> " :
.tR.2.C <- function(from)
{
cl <- class(from)
valid <- c("dgRMatrix", "dsRMatrix", "dtRMatrix",
"lgRMatrix", "lsRMatrix", "ltRMatrix",
"ngRMatrix", "nsRMatrix", "ntRMatrix",
"zgRMatrix", "zsRMatrix", "ztRMatrix")
icl <- match(cl, valid) - 1L
if(is.na(icl)) stop(gettextf("invalid class: %s", dQuote(cl)), domain=NA)
Ccl <- sub("^(..)R","\\1C", cl) # corresponding Csparse class name
r <- new(Ccl)
r@i <- from@j
##- -
r@p <- from@p
r@Dim <- from@Dim[2:1]
r@Dimnames <- from@Dimnames[2:1]
if(icl %/% 3 != 2) ## not "n..Matrix" --> has 'x' slot
r@x <- from@x
if(icl %% 3 != 0) { # symmetric or triangular
r@uplo <- from@uplo
if(icl %% 3 == 2) # triangular
r@diag <- from@diag
}
r
}
## coercion to other virtual classes --- the functionality we want to encourage
setAs("RsparseMatrix", "TsparseMatrix", .R.2.T)
setAs("RsparseMatrix", "CsparseMatrix", .R.2.C)
setAs("RsparseMatrix", "denseMatrix",
function(from) as(.R.2.C(from), "denseMatrix"))
setAs("RsparseMatrix", "dsparseMatrix",
function(from) as(.R.2.C(from), "dsparseMatrix"))
setAs("RsparseMatrix", "lsparseMatrix",
function(from) as(.R.2.C(from), "lsparseMatrix"))
setAs("RsparseMatrix", "nsparseMatrix",
function(from) as(.R.2.C(from), "nsparseMatrix"))
setAs("RsparseMatrix", "dMatrix",
function(from) as(.R.2.C(from), "dMatrix"))
setAs("RsparseMatrix", "lMatrix",
function(from) as(.R.2.C(from), "lMatrix"))
setAs("RsparseMatrix", "nMatrix",
function(from) as(.R.2.C(from), "nMatrix"))
setAs("RsparseMatrix", "generalMatrix",
function(from) as(.R.2.C(from), "generalMatrix"))
## for printing etc:
setAs("RsparseMatrix", "dgeMatrix",
function(from) as(.R.2.C(from), "dgeMatrix"))
setAs("RsparseMatrix", "matrix",
function(from) as(.R.2.C(from), "matrix"))
## **VERY** cheap substitute: work via dgC and t(.)
.viaC.to.dgR <- function(from) {
m <- as(t(from), "dgCMatrix")
new("dgRMatrix", Dim = dim(from), Dimnames = .M.DN(from),
p = m@p, j = m@i, x = m@x)
}
## one of the few coercions "to <specific>" {tested in ../tests/Class+Meth.R}
setAs("matrix", "dgRMatrix", .viaC.to.dgR)
## *very* cheap substitute: work via t(.) and Csparse
.viaC.to.R <- function(from) {
m <- as(t(from), "CsparseMatrix")# preserve symmetry/triangular
clx <- getClassDef(class(m))
has.x <- !extends(clx, "nsparseMatrix")## <==> has 'x' slot
## instead of "d": .M.kind (m,cl)
## instead of "g": ..M.shape(m,cl)
sh <- .M.shapeC(m,clx)
r <- new(paste0(.M.kindC(clx), sh, "RMatrix"))
r@Dim <- dim(from)
r@Dimnames <- .M.DN(from)
r@p <- m@p
r@j <- m@i
if(has.x)
r@x <- m@x
if(sh != "g") {
r@uplo <- if(m@uplo != "U") "U" else "L"
if(sh == "t")
r@diag <- m@diag
}
r
}
setAs("matrix", "RsparseMatrix", .viaC.to.R)
setAs("denseMatrix", "RsparseMatrix", .viaC.to.R)
setAs("sparseMatrix","RsparseMatrix", .viaC.to.R)
## symmetric: can use same 'p' slot
setAs("dsCMatrix", "dsRMatrix",
function(from) new("dsRMatrix", Dim = dim(from), Dimnames = .M.DN(from),
p = from@p, j = from@i, x = from@x,
uplo = if (from@uplo == "U") "L" else "U"))
## FIXME: if this makes sense, do it for "l" and "n" as well as "d"
## setAs("dtCMatrix", "dtRMatrix", .viaC.to.dgR) # should work; can NOT use 'p'
##setAs("dgRMatrix", "dgeMatrix",
## function(from) .Call(csc_to_dgeMatrix, from))
##setAs("matrix", "dgRMatrix",
## function(from) {
## storage.mode(from) <- "double"
## .Call(matrix_to_csc, from)
## })
##setMethod("diag", signature(x = "dgRMatrix"),
## function(x = 1, nrow, ncol = n) .Call(csc_getDiag, x))
## try to define for "Matrix" -- once and for all -- but that fails -- why? __ FIXME __
## setMethod("dim", signature(x = "dgRMatrix"),
## function(x) x@Dim, valueClass = "integer")
##setMethod("t", signature(x = "dgRMatrix"),
## function(x) .Call(csc_transpose, x),
## valueClass = "dgRMatrix")
setMethod("image", "dgRMatrix", function(x, ...) image(as(x, "TsparseMatrix"), ...))
setMethod("t", "RsparseMatrix", function(x) as(t(.R.2.T(x)), "RsparseMatrix"))
## Want tril(), triu(), band() --- just as "indexing" ---
## return a "close" class:
setMethod("tril", "RsparseMatrix",
function(x, k = 0, ...)
as(tril(.R.2.C(x), k = k, ...), "RsparseMatrix"))
setMethod("triu", "RsparseMatrix",
function(x, k = 0, ...)
as(triu(.R.2.C(x), k = k, ...), "RsparseMatrix"))
setMethod("band", "RsparseMatrix",
function(x, k1, k2, ...)
as(band(.R.2.C(x), k1 = k1, k2 = k2, ...), "RsparseMatrix"))
setReplaceMethod("[", signature(x = "RsparseMatrix", i = "index", j = "missing",
value = "replValue"),
function (x, i, j, ..., value)
replTmat(as(x,"TsparseMatrix"), i=i, value=value))
setReplaceMethod("[", signature(x = "RsparseMatrix", i = "missing", j = "index",
value = "replValue"),
function (x, i, j, ..., value)
replTmat(as(x,"TsparseMatrix"), j=j, value=value))
setReplaceMethod("[", signature(x = "RsparseMatrix", i = "index", j = "index",
value = "replValue"),
function (x, i, j, ..., value)
replTmat(as(x,"TsparseMatrix"), i=i, j=j, value=value))
setReplaceMethod("[", signature(x = "RsparseMatrix", i = "index", j = "missing",
value = "sparseVector"),
function (x, i, j, ..., value)
replTmat(as(x,"TsparseMatrix"), i=i, value=value))
setReplaceMethod("[", signature(x = "RsparseMatrix", i = "missing", j = "index",
value = "sparseVector"),
function (x, i, j, ..., value)
replTmat(as(x,"TsparseMatrix"), j=j, value=value))
setReplaceMethod("[", signature(x = "RsparseMatrix", i = "index", j = "index",
value = "sparseVector"),
function (x, i, j, ..., value)
replTmat(as(x,"TsparseMatrix"), i=i, j=j, value=value))
setReplaceMethod("[", signature(x = "RsparseMatrix", i = "matrix", j = "missing",
value = "replValue"),
function (x, i, j, ..., value)
.TM.repl.i.mat(as(x,"TsparseMatrix"), i=i, value=value))