dsCMatrix-class | R Documentation |

The `dsCMatrix`

class is a class of symmetric, sparse
numeric matrices in the compressed, **c**olumn-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 **t**riplet 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`

.

- solve
`signature(a = "dsCMatrix", b = "....")`

:`x <- solve(a,b)`

solves*A x = b*for*x*; see`solve-methods`

.- chol
`signature(x = "dsCMatrix", pivot = "logical")`

: Returns (and stores) the Cholesky decomposition of`x`

, see`chol`

.- Cholesky
`signature(A = "dsCMatrix",...)`

: Computes more flexibly Cholesky decompositions, see`Cholesky`

.- determinant
`signature(x = "dsCMatrix", logarithm = "missing")`

: Evaluate the determinant of`x`

on the logarithm scale. This creates and stores the Cholesky factorization.- determinant
`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.- t
`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.- t
`signature(x = "dsTMatrix")`

: Transpose. The`uplo`

slot is swapped from`"U"`

to`"L"`

or vice versa, as for a`"dsCMatrix"`

, see above.- coerce
`signature(from = "dsCMatrix", to = "dgTMatrix")`

- coerce
`signature(from = "dsCMatrix", to = "dgeMatrix")`

- coerce
`signature(from = "dsCMatrix", to = "matrix")`

- coerce
`signature(from = "dsTMatrix", to = "dgeMatrix")`

- coerce
`signature(from = "dsTMatrix", to = "dsCMatrix")`

- coerce
`signature(from = "dsTMatrix", to = "dsyMatrix")`

- coerce
`signature(from = "dsTMatrix", to = "matrix")`

Classes `dgCMatrix`

, `dgTMatrix`

,
`dgeMatrix`

and those mentioned above.

mm <- Matrix(toeplitz(c(10, 0, 1, 0, 3)), sparse = TRUE) mm # automatically dsCMatrix str(mm) ## how would we go from a manually constructed Tsparse* : mT <- as(mm, "dgTMatrix") ## Either (symM <- as(mT, "symmetricMatrix"))# dsT (symC <- as(symM, "CsparseMatrix"))# dsC ## or sC <- Matrix(mT, sparse=TRUE, forceCheck=TRUE) sym2 <- as(symC, "TsparseMatrix") ## --> the same as 'symM', a "dsTMatrix"

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