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### Coercion and Methods for Dense Numeric Symmetric Matrices## or rather setIs() {since test can fail ?}setAs("dgeMatrix", "dsyMatrix",function(from) {if(isSymmetric(from))new("dsyMatrix", x = from@x, Dim = from@Dim,Dimnames = from@Dimnames, factors = from@factors)else stop("not a symmetric matrix")})setAs("matrix", "dsyMatrix",function(from) as(as(from, "dgeMatrix"), "dsyMatrix"))setAs("dsyMatrix", "matrix",function(from) .Call(dsyMatrix_as_matrix, from))setAs("dsyMatrix", "dspMatrix",function(from) .Call(dsyMatrix_as_dspMatrix, from))setAs("dsyMatrix", "dsTMatrix",function(from) { # 'dsT': only store upper *or* lower## working via "matrix" : not very efficient (FIXME)ij <- which((m <- as(from,"matrix")) != 0, arr.ind = TRUE)uplo <- from@uploij <- ij[if(uplo == "U") ij[,1] <= ij[,2] else ij[,1] >= ij[,2] ,, drop = FALSE]new("dsTMatrix", i = ij[,1] - 1L, j = ij[,2] - 1L,x = as.vector(m[ij]), uplo = uplo,Dim = from@Dim, Dimnames = from@Dimnames)})setAs("dsyMatrix", "dsCMatrix",function(from) as(as(from, "dsTMatrix"), "dsCMatrix"))## Note: Just *because* we have an explicit dtr -> dge coercion,## show( <ddenseMatrix> ) is not okay, and we need our own:setMethod("show", "dsyMatrix", function(object) prMatrix(object))setMethod("rcond", signature(x = "dsyMatrix", type = "character"),function(x, type, ...).Call(dsyMatrix_rcond, x, type),valueClass = "numeric")setMethod("rcond", signature(x = "dsyMatrix", type = "missing"),function(x, type, ...).Call(dsyMatrix_rcond, x, "O"),valueClass = "numeric")setMethod("%*%", signature(x = "dsyMatrix", y = "ddenseMatrix"),function(x, y) .Call(dsyMatrix_matrix_mm, x, y, FALSE))setMethod("%*%", signature(x = "dsyMatrix", y = "matrix"),function(x, y) .Call(dsyMatrix_matrix_mm, x, y, FALSE))setMethod("%*%", signature(x = "ddenseMatrix", y = "dsyMatrix"),function(x, y) .Call(dsyMatrix_matrix_mm, y, x, TRUE))setMethod("solve", signature(a = "dsyMatrix", b = "missing"),function(a, b, ...) .Call(dsyMatrix_solve, a),valueClass = "dsyMatrix")setMethod("solve", signature(a = "dsyMatrix", b = "matrix"),function(a, b, ...) .Call(dsyMatrix_matrix_solve, a, b),valueClass = "dgeMatrix")setMethod("solve", signature(a = "dsyMatrix", b = "ddenseMatrix"),function(a, b, ...) .Call(dsyMatrix_matrix_solve, a, b),valueClass = "dgeMatrix")setMethod("norm", signature(x = "dsyMatrix", type = "character"),function(x, type, ...) .Call(dsyMatrix_norm, x, type),valueClass = "numeric")setMethod("norm", signature(x = "dsyMatrix", type = "missing"),function(x, type, ...) .Call(dsyMatrix_norm, x, "O"),valueClass = "numeric")## Should this create the opposite storage format - i.e. "U" -> "L"## and vice-versa?## MM: I think yes, since the other part can be filled arbitrarily (wrongly)##WAS setMethod("t", signature(x = "dsyMatrix"), function(x) x)setMethod("t", signature(x = "dsyMatrix"), t_trMatrix,valueClass = "dsyMatrix")## The following has the severe effect of making## "dsyMatrix" a subclass of "dpoMatrix" and since the reverse is## by definition of "dpoMatrix", the class-hierarchy gets a *cycle* !##setIs("dsyMatrix", "dpoMatrix",test = function(obj)"try-error" != class(try(.Call(dpoMatrix_chol, obj), silent=TRUE)),replace = function(obj, value) { ## copy all slots (is needed)for(n in slotNames(obj)) slot(obj, n) <- slot(value, n)obj})## Now that we have "chol", we can define "determinant" methods,## exactly like in ./dsCMatrix.R## DB - Probably figure out how to use the BunchKaufman decomposition instead## {{FIXME: Shouldn't it be possible to have "determinant" work by## default automatically for "Matrix"es when there's a "chol" method available?## ..> work with ss <- selectMethod("chol", signature("dgCMatrix"))## -- not have to define showMethod("determinant", ...) for all classes