The R Project SVN R-packages

#### Nonzero Pattern Sparse Matrices in triplet format

### contains = "nsparseMatrix"
###             ============= ---> superclass methods in ./nsparseMatrix.R


setAs("ngTMatrix", "ngeMatrix",
      function(from) .Call(lgTMatrix_to_lgeMatrix, as(from,"lgTMatrix")))

setAs("ngTMatrix", "matrix",
      function(from) .Call(lgTMatrix_to_matrix, as(from, "lgTMatrix")))
## setAs("ngTMatrix", "matrix", # go via fast C code:
##       function(from) as(as(from, "ngCMatrix"), "matrix"))

setAs("matrix", "ngTMatrix",
      function(from) {
      stopifnot(is.logical(from))
      if(any(is.na(from)))
          warning("'NA's coerced to 'FALSE' in coercion to logical sparse")
      ij <- which(from, arr.ind = TRUE) - 1L
      if(length(ij) == 0) ij <- matrix(ij, 0, 2)
      new("ngTMatrix",
          i = ij[,1],
          j = ij[,2],
          Dim = as.integer(dim(from)),
          Dimnames = .M.DN(from))
      })

setAs("ngTMatrix", "dgTMatrix",
      function(from)
      ## more efficient than
      ## as(as(as(sM, "ngCMatrix"), "dgCMatrix"), "dgTMatrix")
      new("dgTMatrix", i = from@i, j = from@j,
      x = rep.int(1, length(from@i)),
      ## cannot copy factors, but can we use them?
      Dim = from@Dim, Dimnames= from@Dimnames))

setAs("ngTMatrix", "lgTMatrix",
      function(from)
      new("lgTMatrix", i = from@i, j = from@j,
      x = rep.int(TRUE, length(from@i)),
      ## cannot copy factors, but can we use them?
      Dim = from@Dim, Dimnames= from@Dimnames))

setAs("ngTMatrix", "ntTMatrix",
      function(from) check.gT2tT(from, cl = "ngTMatrix", toClass = "ntTMatrix"))


setMethod("t", signature(x = "ngTMatrix"),
      function(x) new("ngTMatrix", i = x@j, j = x@i,
              Dim = x@Dim[2:1],
              Dimnames= x@Dimnames[2:1]),
      valueClass = "ngTMatrix")