Diagonal {Matrix} | R Documentation |
Create a diagonal matrix object, i.e., an object inheriting from
diagonalMatrix
.
Diagonal(n, x = NULL) .symDiagonal(n, x = rep.int(1,n), uplo = "U") .sparseDiagonal(n, x = rep.int(1,m), uplo = "U", shape = if(missing(cols)) "t" else "g", kind, cols = if(n) 0:(n - 1L) else integer(0))
n |
integer specifying the dimension of the (square) matrix. If
missing, |
x |
numeric or logical; if missing, a unit diagonal n x n matrix is created. |
uplo |
for |
shape |
string of 1 character, one of |
kind |
string of 1 character, one of |
cols |
integer vector with values from |
Diagonal()
returns an object of class
ddiMatrix
or ldiMatrix
(with “superclass” diagonalMatrix
).
.symDiagonal()
returns an object of class
dsCMatrix
or lsCMatrix
,
i.e., a sparse symmetric matrix. This can be
more efficient than Diagonal(n)
when the result is combined
with further symmetric (sparse) matrices, however not for
matrix multiplications where Diagonal()
is clearly preferred.
.sparseDiagonal()
, the workhorse of .symDiagonal
returns
a CsparseMatrix
(the resulting class depending
on shape
and kind
) representation of Diagonal(n)
,
or, when cols
are specified, of Diagonal(n)[, cols+1]
.
Martin Maechler
the generic function diag
for extraction
of the diagonal from a matrix works for all “Matrices”.
bandSparse
constructs a banded sparse matrix from
its non-zero sub-/super - diagonals. band(A)
returns a
band matrix containing some sub-/super - diagonals of A
.
Matrix
for general matrix construction;
further, class diagonalMatrix
.
Diagonal(3) Diagonal(x = 10^(3:1)) Diagonal(x = (1:4) >= 2)#-> "ldiMatrix" ## Use Diagonal() + kronecker() for "repeated-block" matrices: M1 <- Matrix(0+0:5, 2,3) (M <- kronecker(Diagonal(3), M1)) (S <- crossprod(Matrix(rbinom(60, size=1, prob=0.1), 10,6))) (SI <- S + 10*.symDiagonal(6)) # sparse symmetric still stopifnot(is(SI, "dsCMatrix"))