R/unpackedMatrix.R

Defines functions .m.is.di .m.is.tr .m.is.sy .upM.is.di .upM.is.tr .upM.is.sy.dz .upM.is.sy .m.pack .upM.pack.ge .upM.pack

## METHODS FOR CLASS: unpackedMatrix (virtual) ... and many for base matrices
## dense matrices with unpacked storage
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.upM.subclasses <- names(getClassDef("unpackedMatrix")@subclasses)


## ~~~~ COERCIONS FROM ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

## as(<unpackedMatrix>,             "matrix") inherited from denseMatrix
## as(<unpackedMatrix>,        "[dln]Matrix") inherited from denseMatrix
## as(<unpackedMatrix>,   "[dln]denseMatrix") inherited from denseMatrix
## as(<unpackedMatrix>,  "[dln]sparseMatrix") inherited from denseMatrix
## as(<unpackedMatrix>,      "generalMatrix") inherited from denseMatrix
## as(<unpackedMatrix>,   "triangularMatrix") inherited from      Matrix
## as(<unpackedMatrix>,    "symmetricMatrix") inherited from      Matrix
## as(<unpackedMatrix>,       "packedMatrix") inherited from denseMatrix
## as(<unpackedMatrix>, "[CRT]?sparseMatrix") inherited from denseMatrix
## as(<unpackedMatrix>,     "diagonalMatrix") inherited from      Matrix
## as(<unpackedMatrix>,          "indMatrix") inherited from      Matrix


## ~~~~ COERCIONS TO ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

## as(          <numLike>, "unpackedMatrix") in ./denseMatrix.R
## as(           <matrix>, "unpackedMatrix") in ./denseMatrix.R
## as(      <denseMatrix>, "unpackedMatrix") in ./denseMatrix.R
## as(<[CRT]sparseMatrix>, "unpackedMatrix") in ./sparseMatrix.R
## as(   <diagonalMatrix>, "unpackedMatrix") in ./diagMatrix.R
## as(        <indMatrix>, "unpackedMatrix") in ./indMatrix.R


## ~~~~ METHODS ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

setMethod("unpack", signature(x = "unpackedMatrix"),
          function(x, ...) x)
setMethod("unpack", signature(x = "matrix"),
          function(x, ...) .m2dense.checking(x, "."))

.upM.pack <- function(x, ...)
    .Call(unpackedMatrix_pack, x, TRUE, NA, NA)

.upM.pack.ge <- function(x, symmetric = NA, upperTri = NA, ...) {
    if(((sna <- is.na(symmetric)) || symmetric) && isSymmetric(x, ...)) {
        .Call(unpackedMatrix_pack, x, TRUE, FALSE, TRUE)
    } else if((sna || !symmetric) &&
              (it <- isTriangular(x, upper = upperTri))) {
        upper <-
            if(is.na(upperTri))
                attr(it, "kind") == "U"
            else upperTri
        .Call(unpackedMatrix_pack, x, TRUE, TRUE, upper)
    } else {
        desc <-
            if(is.na(upperTri))
                ""
            else if(upperTri)
                "upper "
            else "lower "
        if(sna)
            stop("matrix is not symmetric or ", desc, "triangular")
        else if(symmetric)
            stop("matrix is not symmetric")
        else stop("matrix is not ", desc, "triangular")
    }
}

.m.pack <- function(x, symmetric = NA, upperTri = NA, ...) {
    if(.REPLACEME) {
        .Call(R_matrix_as_dense, x, ".sp", "U", NULL)
    } else if(.REPLACEME) {
        uplo <-
            if(is.na(upperTri))
                attr(it, "kind")
            else if(upperTri)
                "U"
            else "L"
        .Call(R_matrix_as_dense, x, ".tp", uplo, "N")
    } else .REPLACEME
}
body(.m.pack)[[c(2L, 2L    )]] <- body(.upM.pack.ge)[[c(2L, 2L    )]]
body(.m.pack)[[c(2L, 4L, 2L)]] <- body(.upM.pack.ge)[[c(2L, 4L, 2L)]]
body(.m.pack)[[c(2L, 4L, 4L)]] <- body(.upM.pack.ge)[[c(2L, 4L, 4L)]]

setMethod("pack", signature(x = "unpackedMatrix"), .upM.pack)
for (.cl in grep("^.geMatrix$", .upM.subclasses, value = TRUE))
    setMethod("pack", signature(x = .cl), .upM.pack.ge)
setMethod("pack", signature(x = "matrix"), .m.pack)
rm(.upM.pack, .upM.pack.ge, .m.pack)

setMethod("forceSymmetric", signature(x = "unpackedMatrix", uplo = "missing"),
          function(x, uplo) .Call(unpackedMatrix_force_symmetric, x, NULL))
setMethod("forceSymmetric", signature(x = "unpackedMatrix", uplo = "character"),
          function(x, uplo) .Call(unpackedMatrix_force_symmetric, x, uplo))

setMethod("forceSymmetric", signature(x = "matrix", uplo = "missing"),
          function(x, uplo) .Call(R_matrix_as_dense, x, ".sy",  "U", NULL))
setMethod("forceSymmetric", signature(x = "matrix", uplo = "character"),
          function(x, uplo) .Call(R_matrix_as_dense, x, ".sy", uplo, NULL))

.upM.is.sy <- function(object, checkDN = TRUE, ...) {
    ## backwards compatibility: don't check DN if check.attributes=FALSE
    if(checkDN) {
        ca <- function(check.attributes = TRUE, ...) check.attributes
        checkDN <- ca(...)
    }
    ## requiring exact symmetry:
    .Call(unpackedMatrix_is_symmetric, object, checkDN)
}

.upM.is.sy.dz <- function(object, tol = 100 * .Machine$double.eps,
                          tol1 = 8 * tol, checkDN = TRUE, ...) {
    ## backwards compatibility: don't check DN if check.attributes=FALSE
    if(checkDN) {
        ca <- function(check.attributes = TRUE, ...) check.attributes
        checkDN <- ca(...)
    }
    ## be very fast when requiring exact symmetry
    if(tol <= 0)
        return(.Call(unpackedMatrix_is_symmetric, object, checkDN))
    ## pretest: is it square?
    d <- object@Dim
    if((n <- d[1L]) != d[2L])
        return(FALSE)
    ## pretest: are DN symmetric in the sense of validObject(<symmetricMatrix>)?
    if(checkDN && !isSymmetricDN(object@Dimnames))
        return(FALSE)
    if(n <= 1L)
        return(TRUE)
    object <- .dense2g(object)
    ## now handling n-by-n [dz]geMatrix, n >= 2:

    Cj <- if(is.complex(object@x)) Conj else identity
    ae <- function(check.attributes, ...) {
        ## discarding possible user-supplied check.attributes
        all.equal(..., check.attributes = FALSE)
    }

    ## pretest: outermost rows ~= outermost columns? (fast for large asymmetric)
    ## FIXME: quite inefficient, though, if subsetting must go through "matrix"
    if(length(tol1)) {
        i. <- if (n <= 4L) 1:n else c(1L, 2L, n-1L, n)
        for(i in i.)
            if(!isTRUE(ae(target = object[i, ], current = Cj(object[, i]),
                          tolerance = tol1, ...)))
                return(FALSE)
    }
    ## followed by slower test using 't'
    isTRUE(ae(target = object@x, current = Cj(t(object))@x,
              tolerance = tol, ...))
}

.upM.is.tr <- function(object, upper = NA, ...)
    .Call(unpackedMatrix_is_triangular, object, upper)

.upM.is.di <- function(object)
    .Call(unpackedMatrix_is_diagonal, object)

.m.is.sy <- function(object, tol = 100 * .Machine$double.eps,
                     tol1 = 8 * tol, checkDN = TRUE, ...) {
    ## backwards compatibility: don't check DN if check.attributes=FALSE
    if(checkDN) {
        ca <- function(check.attributes = TRUE, ...) check.attributes
        checkDN <- ca(...)
    }
    if(is.logical(object) || is.integer(object) || tol <= 0)
        ## requiring exact symmetry:
        return(.Call(matrix_is_symmetric, object, checkDN))
    if(checkDN && !is.null(dn <- dimnames(object)) && !isSymmetricDN(dn))
        return(FALSE)
    ## discarding possible user-supplied check.attributes:
    iS.m <- function(check.attributes, ...) {
        isSymmetric.matrix(..., check.attributes = FALSE)
    }
    iS.m(object = object, tol = tol, tol1 = tol1, ...)
}

.m.is.tr <- function(object, upper = NA, ...)
    .Call(matrix_is_triangular, object, upper)

.m.is.di <- function(object)
    .Call(matrix_is_diagonal, object)

## method for     .syMatrix in ./symmetricMatrix.R
## method for [lni]trMatrix in ./triangularMatrix.R
for (.cl in grep("^[lni]geMatrix$", .upM.subclasses, value = TRUE))
    setMethod("isSymmetric", signature(object = .cl), .upM.is.sy)
for (.cl in grep("^[dz](ge|tr)Matrix$", .upM.subclasses, value = TRUE))
    setMethod("isSymmetric", signature(object = .cl), .upM.is.sy.dz)

## method for .syMatrix in ./symmetricMatrix.R
## method for .trMatrix in ./triangularMatrix.R
for (.cl in grep("^.geMatrix$", .upM.subclasses, value = TRUE))
    setMethod("isTriangular", signature(object = .cl), .upM.is.tr)

setMethod("isDiagonal", signature(object = "unpackedMatrix"), .upM.is.di)

if(FALSE) {
## Would override isSymmetric.matrix and be faster in the logical and integer
## cases and in the tol<=0 case, but use a looser notion of symmetric 'dimnames'
## and so probably break too much ...
setMethod("isSymmetric", signature(object = "matrix"), .m.is.sy)
}
setMethod("isTriangular", signature(object = "matrix"), .m.is.tr)
setMethod("isDiagonal", signature(object = "matrix"), .m.is.di)

rm(.upM.is.sy, .upM.is.sy.dz, .upM.is.tr, .upM.is.di,
   .m.is.sy, .m.is.tr, .m.is.di, .cl)

setMethod("t", signature(x = "unpackedMatrix"),
          function(x)
              .Call(unpackedMatrix_transpose, x))
setMethod("diag", signature(x = "unpackedMatrix"),
          function(x, nrow, ncol, names)
              .Call(unpackedMatrix_diag_get, x, names))
setMethod("diag<-", signature(x = "unpackedMatrix"),
          function(x, value)
              .Call(unpackedMatrix_diag_set, x, value))

setMethod("symmpart", signature(x = "unpackedMatrix"),
          function(x) .Call(unpackedMatrix_symmpart, x))
setMethod("symmpart", signature(x = "matrix"),
          ## function(x) .Call(matrix_symmpart, x)) # returning .syMatrix
          function(x) symmetrizeDimnames(x + t(x)) / 2) # returning matrix

setMethod("skewpart", signature(x = "unpackedMatrix"),
          function(x) .Call(unpackedMatrix_skewpart, x))
setMethod("skewpart", signature(x = "matrix"),
          ## function(x) .Call(matrix_skewpart, x)) # returning .geMatrix
          function(x) symmetrizeDimnames(x - t(x)) / 2) # returning matrix

rm(.upM.subclasses)

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Matrix documentation built on Nov. 11, 2022, 9:06 a.m.