The dsCMatrix class is a class of symmetric, sparse numeric matrices in the compressed, column-oriented format. In this implementation the non-zero elements in the columns are sorted into increasing row order.
The dsTMatrix class is the class of symmetric, sparse numeric matrices in triplet format.
Objects can be created by calls of the form new("dsCMatrix", ...) or new("dsTMatrix", ...), or automatically via e.g., as(*, "symmetricMatrix"), or (for dsCMatrix) also from Matrix(.).
Creation “from scratch” most efficiently happens via sparseMatrix(*, symmetric=TRUE).
uplo:
A character object indicating if the upper triangle ("U") or the lower triangle ("L") is stored.
i:
Object of class "integer" of length nnZ (half number of non-zero elements). These are the row numbers for each non-zero element in the lower triangle of the matrix.
p:
(only in class "dsCMatrix":) an integer vector for providing pointers, one for each column, see the detailed description in CsparseMatrix.
j:
(only in class "dsTMatrix":) Object of class "integer" of length nnZ (as i). These are the column numbers for each non-zero element in the lower triangle of the matrix.
x:
Object of class "numeric" of length nnZ – the non-zero elements of the matrix (to be duplicated for full matrix).
factors:
Object of class "list" - a list of factorizations of the matrix.
Dim:
Object of class "integer" - the dimensions of the matrix - must be an integer vector with exactly two non-negative values.
Both classes extend classes and symmetricMatrix dsparseMatrix directly; dsCMatrix further directly extends CsparseMatrix, where dsTMatrix does TsparseMatrix.
signature(a = "dsCMatrix", b = "...."): x <- solve(a,b) solves A x = b for x; see solve-methods.
signature(x = "dsCMatrix", pivot = "logical"): Returns (and stores) the Cholesky decomposition of x, see chol.
signature(A = "dsCMatrix",...): Computes more flexibly Cholesky decompositions, see Cholesky.
signature(x = "dsCMatrix", logarithm = "missing"): Evaluate the determinant of x on the logarithm scale. This creates and stores the Cholesky factorization.
signature(x = "dsCMatrix", logarithm = "logical"): Evaluate the determinant of x on the logarithm scale or not, according to the logarithm argument. This creates and stores the Cholesky factorization.
signature(x = "dsCMatrix"): Transpose. As for all symmetric matrices, a matrix for which the upper triangle is stored produces a matrix for which the lower triangle is stored and vice versa, i.e., the uplo slot is swapped, and the row and column indices are interchanged.
signature(x = "dsTMatrix"): Transpose. The uplo slot is swapped from "U" to "L" or vice versa, as for a "dsCMatrix", see above.
Classes dgCMatrix, dgTMatrix, dgeMatrix and those mentioned above.
mm <- Matrix(toeplitz(c(10, 0, 1, 0, 3)), sparse = TRUE)
mm # automatically dsCMatrix
str(mm)
mT <- as(as(mm, "generalMatrix"), "TsparseMatrix")
## Either
(symM <- as(mT, "symmetricMatrix")) # dsT
(symC <- as(symM, "CsparseMatrix")) # dsC
## or
sT <- Matrix(mT, sparse=TRUE, forceCheck=TRUE) # dsT
sym2 <- as(symC, "TsparseMatrix")
## --> the same as 'symM', a "dsTMatrix"
[Package
Matrixversion 1.7-3
Index]
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