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#### Logical Sparse Matrices in triplet format
### contains = "lsparseMatrix"
### ============= ---> superclass methods in ./lsparseMatrix.R
setAs("lgTMatrix", "lgeMatrix",
function(from) .Call(lgTMatrix_to_lgeMatrix, from))
setAs("lgTMatrix", "matrix",
function(from) .Call(lgTMatrix_to_matrix, from))
## setAs("lgTMatrix", "matrix", # go via fast C code:
## function(from) as(as(from, "lgCMatrix"), "matrix"))
setAs("matrix", "lgTMatrix",
function(from) {
stopifnot(is.logical(from))
dn <- dimnames(from)
if(is.null.DN(dn))
dn <- list(NULL,NULL)
else dimnames(from) <- NULL
TorNA <- is.na(from) | from
ij <- which(TorNA, arr.ind = TRUE, useNames = FALSE) - 1L
if(length(ij) == 0) ij <- matrix(ij, 0, 2)
new("lgTMatrix",
i = ij[,1],
j = ij[,2],
x = from[TorNA],
Dim = as.integer(dim(from)),
Dimnames = dn)
})
setAs("lgTMatrix", "dgTMatrix",
function(from)
## more efficient than
## as(as(as(sM, "lgCMatrix"), "dgCMatrix"), "dgTMatrix")
new("dgTMatrix", i = from@i, j = from@j,
x = as.double(from@x),
## cannot copy factors, but can we use them?
Dim = from@Dim, Dimnames= from@Dimnames))
setAs("lgTMatrix", "triangularMatrix",
function(from) check.gT2tT(from, toClass = "ltTMatrix", do.n=FALSE))
setAs("lgTMatrix", "ltTMatrix",
function(from) check.gT2tT(from, toClass = "ltTMatrix", do.n=FALSE))
setAs("lgTMatrix", "symmetricMatrix",
function(from) check.gT2sT(from, toClass = "lsTMatrix", do.n=FALSE))
## We favor coercion to super-classes, here, "symmetricMatrix"
## setAs("lgTMatrix", "lsTMatrix",
## function(from) check.gT2sT(from, toClass = "lsTMatrix", do.n=FALSE))
if(FALSE) ## unneeded: use t.<TsparseMatrix>
setMethod("t", signature(x = "lgTMatrix"),
function(x) new("lgTMatrix", i = x@j, j = x@i, x = x@x,
Dim = x@Dim[2:1],
Dimnames= x@Dimnames[2:1]),
valueClass = "lgTMatrix")
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