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setAs("matrix", "lMatrix",
function(from) { storage.mode(from) <- "logical" ; Matrix(from) })
## NOTE: This is *VERY* parallel to ("dMatrix" -> "nMatrix") in ./dMatrix.R :
setAs("lMatrix", "nMatrix",
function(from) {
if(anyNA(from@x) && ((.w <- isTRUE(getOption("Matrix.warn"))) ||
isTRUE(getOption("Matrix.verbose")))) {
(if(.w) warning else message)(
"\"lMatrix\" object with NAs coerced to \"nMatrix\": NA |-> TRUE")
from@x[is.na(from@x)] <- TRUE
}
## ==> from@x are in {TRUE, FALSE}
cld <- getClassDef(cl <- MatrixClass(class(from)))
if(extends(cld, "diagonalMatrix")) # no "ndi*" class
## should not happen, setAs(diagonalMatrix -> nMatrix) in ./diagMatrix.R:
return(di2nMat(from))
## else
isSp <- extends(cld, "sparseMatrix")
if(isSp && !all(from@x)) {
from <- drop0(from) # was drop0(from, cld)
if(cl != (c. <- class(from)))
cld <- getClassDef(cl <- c.)
}
sNams <- slotNames(cld)
copyClass(from, sub("^l", "n", cl),
if(isSp) sNams[sNams != "x"] else sNams)
})
## and the reverse as well :
setAs("nMatrix", "lMatrix",
function(from) {
cld <- getClassDef(cl <- MatrixClass(class(from)))
r <- copyClass(from, sub("^n", "l", cl), slotNames(cld))
if(extends(cld, "sparseMatrix"))
r@x <- rep.int(TRUE, length(if(!extends(cld, "RsparseMatrix"))
from@i else from@j))
r
})
setAs("dMatrix", "lMatrix",
function(from) {
cld <- getClassDef(newCl <- class2(class(from), "l"))
sNams <- slotNames(cld)
r <- copyClass(from, newCl, sNames = sNams[sNams != "x"])
r@x <- as.logical(from@x)
r
})
setAs("lMatrix", "dMatrix",
function(from) {
cld <- getClassDef(cl <- MatrixClass(class(from)))
sNams <- slotNames(cld)
r <- copyClass(from, newCl = sub("^l", "d", cl),
sNames = sNams[sNams != "x"])
r@x <- as.double(from@x)
r
})
## needed at least for lsparse* :
setAs("lMatrix", "dgCMatrix",
function(from) as(as(from, "lgCMatrix"), "dgCMatrix"))
###-------------- which( <logical Matrix> ) -----------------------------------------------------
## "ldi: is both "sparseMatrix" and "lMatrix" but not "lsparseMatrix"
setMethod("which", "ldiMatrix",
function(x, arr.ind, useNames) {
n <- x@Dim[1L]
i <- if(x@diag == "U") seq_len(n) else which(x@x)
## ensure no integer overflow in i + n*(i - ._1) {int. if (n <= 46340L)}:
._1 <- if(n <= as.integer(sqrt(.Machine$integer.max))) 1L else 1
i <- i + n*(i - ._1)
if(arr.ind) arrayInd(i, x@Dim, x@Dimnames, useNames=useNames)
else i
})
whichDense <- function(x, arr.ind = FALSE, useNames = TRUE) {
wh <- which(x@x) ## faster but "forbidden": .Internal(which(x@x))
if (arr.ind && !is.null(d <- dim(x)))
arrayInd(wh, d, dimnames(x), useNames=useNames) else wh
}
setMethod("which", "ndenseMatrix", function(x, arr.ind, useNames)
whichDense(as(x, "ngeMatrix"), arr.ind=arr.ind, useNames=useNames))
setMethod("which", "ldenseMatrix", function(x, arr.ind, useNames)
whichDense(as(x, "lgeMatrix"), arr.ind=arr.ind, useNames=useNames))
setMethod("which", "nsparseMatrix",
function(x, arr.ind, useNames = TRUE) {
if(arr.ind) which(as(x, "TsparseMatrix"), arr.ind=TRUE, useNames=useNames)
else as(x, "sparseVector")@i
})
setMethod("which", "lsparseMatrix",
function(x, arr.ind, useNames = TRUE) {
if(arr.ind) which(as(x, "TsparseMatrix"), arr.ind=TRUE, useNames=useNames)
else which(as(x, "sparseVector"))
})
##' construct dimnames as in arrayInd(*, useNames=TRUE)
arrDimnames <- function(i, .dimnames)
list(.dimnames[[1L]][i],
if(any(nzchar(nd <- names(.dimnames)))) nd else c("row", "col"))
which.ngT <- function(x, arr.ind, useNames = TRUE)
if(arr.ind) {
ij <- cbind(x@i, x@j) + 1L
if (useNames) dimnames(ij) <- arrDimnames(ij[,1L], x@Dimnames)
ij
} else as(x, "sparseVector")@i
setMethod("which", "ngTMatrix", which.ngT)
setMethod("which", "ntTMatrix", function(x, arr.ind, useNames = TRUE)
which.ngT(.Call(Tsparse_diagU2N, x), arr.ind, useNames))
setMethod("which", "nsTMatrix", function(x, arr.ind, useNames = TRUE)
which.ngT(as(x, "generalMatrix"), arr.ind, useNames))
which.lgT <- function(x, arr.ind, useNames = TRUE) {
if(arr.ind) {
iT <- is1(x@x)
ij <- cbind(x@i[iT], x@j[iT]) + 1L
if (useNames) dimnames(ij) <- arrDimnames(ij[,1L], x@Dimnames)
ij
} else which(as(x, "sparseVector"))
}
setMethod("which", "lgTMatrix", which.lgT)
setMethod("which", "ltTMatrix", function(x, arr.ind, useNames = TRUE)
which.lgT(.Call(Tsparse_diagU2N, x), arr.ind, useNames))
setMethod("which", "lsTMatrix", function(x, arr.ind, useNames = TRUE)
which.lgT(as(x, "generalMatrix"), arr.ind, useNames))
setMethod("is.finite", signature(x = "lMatrix"), function(x) !is.na(x))
setMethod("is.finite", signature(x = "nMatrix"), allTrueMatrix)
setMethod("is.infinite", signature(x = "lMatrix"), is.na_nsp)# all FALSE
setMethod("is.infinite", signature(x = "nMatrix"), is.na_nsp)# all FALSE
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