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setAs("matrix", "dgeMatrix",function(from) .Call(dup_mMatrix_as_dgeMatrix, from))if(FALSE)## the above is MUCH faster thansetAs("matrix", "dgeMatrix",function(from) {new("dgeMatrix",x = as.double(from),Dim = as.integer(dim(from)),Dimnames = .M.DN(from))})setAs("dgeMatrix", "matrix",function(from) {array(from@x, dim = from@Dim, dimnames = from@Dimnames)})## Group Methods, see ?Math (e.g.)## "Arith" is in ./Ops.RsetMethod("Math",signature(x = "dgeMatrix"),function(x) {x@x <- callGeneric(x@x)x})## "Math2" is in ./dMatrix.R## "Summary"## "Compare" now happens in ./dMatrix.R## -- end{group generics} -----------------------## "[" settings are "up in" Matrix.R & denseMatrix.RsetMethod("as.vector", signature(x = "dgeMatrix", mode = "missing"),function(x) x@x)setMethod("norm", signature(x = "dgeMatrix", type = "missing"),function(x, type, ...) norm(x, type = "O", ...))setMethod("norm", signature(x = "dgeMatrix", type = "character"),function(x, type, ...).Call(dgeMatrix_norm, x, type),valueClass = "numeric")setMethod("rcond", signature(x = "dgeMatrix", type = "missing"),function(x, type, ...) rcond(x, type = "O", ...))setMethod("rcond", signature(x = "dgeMatrix", type = "character"),function(x, type, ...).Call(dgeMatrix_rcond, x, type),valueClass = "numeric")setMethod("t", signature(x = "dgeMatrix"), t_geMatrix)## crossprod(x) & tcrossprod(x) :setMethod("crossprod", signature(x = "dgeMatrix", y = "missing"),function(x, y = NULL) .Call(dgeMatrix_crossprod, x, FALSE),valueClass = "dpoMatrix")setMethod("tcrossprod", signature(x = "dgeMatrix", y = "missing"),function(x, y = NULL) .Call(dgeMatrix_crossprod, x, TRUE),valueClass = "dpoMatrix")if(FALSE) { ## this would mask 'base::tcrossprod'setMethod("tcrossprod", signature(x = "matrix", y = "missing"),function(x, y = NULL).Call(dgeMatrix_crossprod, as(x, "dgeMatrix"), TRUE),valueClass = "dpoMatrix")setMethod("tcrossprod", signature(x = "numeric", y = "missing"),function(x, y = NULL) callGeneric(as.matrix(as.double(x))))}## crossprod (x,y)setMethod("crossprod", signature(x = "dgeMatrix", y = "dgeMatrix"),function(x, y = NULL) .Call(dgeMatrix_dgeMatrix_crossprod, x, y, FALSE),valueClass = "dgeMatrix")setMethod("crossprod", signature(x = "dgeMatrix", y = "matrix"),function(x, y = NULL) .Call(dgeMatrix_matrix_crossprod, x, y, FALSE),valueClass = "dgeMatrix")setMethod("crossprod", signature(x = "dgeMatrix", y = "numeric"),function(x, y = NULL).Call(dgeMatrix_matrix_crossprod, x, as.matrix(as.double(y)), FALSE),valueClass = "dgeMatrix")setMethod("crossprod", signature(x = "matrix", y = "dgeMatrix"),function(x, y = NULL) callGeneric(as(x, "dgeMatrix"), y),valueClass = "dgeMatrix")setMethod("crossprod", signature(x = "numeric", y = "dgeMatrix"),function(x, y = NULL) callGeneric(as.matrix(as.double(x)), y),valueClass = "dgeMatrix")## tcrossprod (x,y)setMethod("tcrossprod", signature(x = "dgeMatrix", y = "dgeMatrix"),function(x, y = NULL) .Call(dgeMatrix_dgeMatrix_crossprod, x, y, TRUE),valueClass = "dgeMatrix")setMethod("tcrossprod", signature(x = "dgeMatrix", y = "matrix"),function(x, y = NULL) .Call(dgeMatrix_matrix_crossprod, x, y, TRUE),valueClass = "dgeMatrix")setMethod("tcrossprod", signature(x = "dgeMatrix", y = "numeric"),function(x, y = NULL).Call(dgeMatrix_matrix_crossprod, x, rbind(as.double(y)), TRUE),valueClass = "dgeMatrix")setMethod("tcrossprod", signature(x = "matrix", y = "dgeMatrix"),function(x, y = NULL) callGeneric(as(x, "dgeMatrix"), y),valueClass = "dgeMatrix")setMethod("tcrossprod", signature(x = "numeric", y = "dgeMatrix"),function(x, y = NULL) callGeneric(rbind(as.double(x)), y),valueClass = "dgeMatrix")## %*% methodssetMethod("%*%", signature(x = "dgeMatrix", y = "dgeMatrix"),function(x, y) .Call(dgeMatrix_matrix_mm, x, y, FALSE),valueClass = "dgeMatrix")setMethod("%*%", signature(x = "dgeMatrix", y = "matrix"),function(x, y) .Call(dgeMatrix_matrix_mm, x, y, FALSE),valueClass = "dgeMatrix")setMethod("%*%", signature(x = "matrix", y = "dgeMatrix"),function(x, y) .Call(dgeMatrix_matrix_mm, y, x, TRUE),valueClass = "dgeMatrix")## DB: Should we retain these methods? Does the shortcut save enough## to justify additional signatures?## dgeMatrix <-> numeric: conceptually dispatch to "matrix" one, but shortcutsetMethod("%*%", signature(x = "dgeMatrix", y = "numeric"),function(x, y) .Call(dgeMatrix_matrix_mm, x, y, FALSE),valueClass = "dgeMatrix")setMethod("%*%", signature(x = "numeric", y = "dgeMatrix"),function(x, y).Call(dgeMatrix_matrix_mm, y, rbind(x), TRUE),valueClass = "dgeMatrix")setMethod("diag", signature(x = "dgeMatrix"),function(x, nrow, ncol = n) .Call(dgeMatrix_getDiag, x))setMethod("chol", signature(x = "dgeMatrix", pivot = "ANY"), cholMat)setMethod("solve", signature(a = "dgeMatrix", b = "missing"),function(a, b, ...) .Call(dgeMatrix_solve, a),valueClass = "dgeMatrix")setMethod("solve", signature(a = "dgeMatrix", b = "ddenseMatrix"),function(a, b, ...) .Call(dgeMatrix_matrix_solve, a, b),valueClass = "dgeMatrix")setMethod("solve", signature(a = "dgeMatrix", b = "matrix"),function(a, b, ...) .Call(dgeMatrix_matrix_solve, a, b),valueClass = "dgeMatrix")## not needed - method for numeric defined for Matrix class## setMethod("solve", signature(a = "dgeMatrix", b = "numeric"),## function(a, b, ...)## .Call(dgeMatrix_matrix_solve, a, as.matrix(as.double(b))))setMethod("lu", signature(x = "dgeMatrix"),function(x, ...) .Call(dgeMatrix_LU, x),valueClass = "denseLU")setMethod("determinant", signature(x = "dgeMatrix", logarithm = "missing"),function(x, logarithm, ...).Call(dgeMatrix_determinant, x, TRUE))setMethod("determinant", signature(x = "dgeMatrix", logarithm = "logical"),function(x, logarithm, ...).Call(dgeMatrix_determinant, x, logarithm))setMethod("expm", signature(x = "dgeMatrix"),function(x) .Call(dgeMatrix_exp, x),valueClass = "dgeMatrix")##-> ./colSums.R for colSums,... rowMeans