The R Project SVN R-packages

#### 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))
          TorNA <- is.na(from) | from
      ij <- which(TorNA, arr.ind = TRUE) - 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 = .M.DN(from))
      })

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", "ltTMatrix",
      function(from) check.gT2tT(from, cl = "lgTMatrix", toClass = "ltTMatrix"))


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")