Matrix {Matrix} | R Documentation |

## Construct a Classed Matrix

### Description

Construct a Matrix of a class that inherits from `Matrix`

.

### Usage

```
Matrix(data=NA, nrow=1, ncol=1, byrow=FALSE, dimnames=NULL,
sparse = NULL, doDiag = TRUE, forceCheck = FALSE)
```

### Arguments

`data` |
an optional numeric data vector or matrix. |

`nrow` |
when |

`ncol` |
when |

`byrow` |
logical. If |

`dimnames` |
a |

`sparse` |
logical or |

`doDiag` |
logical indicating if a Otherwise, if |

`forceCheck` |
logical indicating if the checks for structure
should even happen when |

### Details

If either of `nrow`

or `ncol`

is not given, an attempt is
made to infer it from the length of `data`

and the other
parameter.
Further, `Matrix()`

makes efforts to keep `logical`

matrices logical, i.e., inheriting from class `lMatrix`

,
and to determine specially structured matrices such as symmetric,
triangular or diagonal ones. Note that a *symmetric* matrix also
needs symmetric `dimnames`

, e.g., by specifying
`dimnames = list(NULL,NULL)`

, see the examples.

Most of the time, the function works via a traditional (*full*)
`matrix`

. However, `Matrix(0, nrow,ncol)`

directly
constructs an “empty” sparseMatrix, as does
`Matrix(FALSE, *)`

.

Although it is sometime possible to mix unclassed matrices (created
with `matrix`

) with ones of class `"Matrix"`

, it is much
safer to always use carefully constructed ones of class
`"Matrix"`

.

### Value

Returns matrix of a class that inherits from `"Matrix"`

.
Only if `data`

is not a `matrix`

and does not already inherit
from class `Matrix`

are the arguments
`nrow`

, `ncol`

and `byrow`

made use of.

### See Also

The classes `Matrix`

,
`symmetricMatrix`

,
`triangularMatrix`

, and
`diagonalMatrix`

; further,
`matrix`

.

Special matrices can be constructed, e.g., via
`sparseMatrix`

(sparse), `bdiag`

(block-diagonal), `bandSparse`

(banded sparse), or
`Diagonal`

.

### Examples

```
Matrix(0, 3, 2) # 3 by 2 matrix of zeros -> sparse
Matrix(0, 3, 2, sparse=FALSE)# -> 'dense'
## 4 cases - 3 different results :
Matrix(0, 2, 2) # diagonal !
Matrix(0, 2, 2, sparse=FALSE)# (ditto)
Matrix(0, 2, 2, doDiag=FALSE)# -> sparse symm. "dsCMatrix"
Matrix(0, 2, 2, sparse=FALSE, doDiag=FALSE)# -> dense symm. "dsyMatrix"
Matrix(1:6, 3, 2) # a 3 by 2 matrix (+ integer warning)
Matrix(1:6 + 1, nrow=3)
## logical ones:
Matrix(diag(4) > 0) # -> "ldiMatrix" with diag = "U"
Matrix(diag(4) > 0, sparse=TRUE) # (ditto)
Matrix(diag(4) >= 0) # -> "lsyMatrix" (of all 'TRUE')
## triangular
l3 <- upper.tri(matrix(,3,3))
(M <- Matrix(l3)) # -> "ltCMatrix"
Matrix(! l3) # -> "ltrMatrix"
as(l3, "CsparseMatrix")# "lgCMatrix"
Matrix(1:9, nrow=3,
dimnames = list(c("a", "b", "c"), c("A", "B", "C")))
(I3 <- Matrix(diag(3)))# identity, i.e., unit "diagonalMatrix"
str(I3) # note 'diag = "U"' and the empty 'x' slot
(A <- cbind(a=c(2,1), b=1:2))# symmetric *apart* from dimnames
Matrix(A) # hence 'dgeMatrix'
(As <- Matrix(A, dimnames = list(NULL,NULL)))# -> symmetric
forceSymmetric(A) # also symmetric, w/ symm. dimnames
stopifnot(is(As, "symmetricMatrix"),
is(Matrix(0, 3,3), "sparseMatrix"),
is(Matrix(FALSE, 1,1), "sparseMatrix"))
```

*Matrix*version 1.7-0 Index]