isTriangular-methods | R Documentation |
isTriangular
and isDiagonal
test whether their argument
is a triangular or diagonal matrix, respectively. Unlike the analogous
isSymmetric
, these two functions are generically
from Matrix rather than base
. Hence Matrix
defines methods for traditional matrices of implicit class
"matrix"
in addition to matrices inheriting from
virtual class "Matrix"
.
By our definition, triangular and diagonal matrices are square, i.e., they have the same number of rows and columns.
isTriangular(object, upper = NA, ...)
isDiagonal(object)
object |
an R object, typically a matrix. |
upper |
a logical, either |
... |
further arguments passed to methods (currently unused by Matrix). |
A logical, either TRUE
or FALSE
(never NA
).
If object
is triangular and upper
is NA
, then
isTriangular
returns TRUE
with an attribute
kind
, either "U"
or "L"
, indicating that
object
is upper or lower triangular, respectively.
Users should not rely on how kind
is determined for diagonal
matrices, which are both upper and lower triangular.
isSymmetric
;
virtual classes "triangularMatrix"
and
"diagonalMatrix"
and their subclasses.
isTriangular(Diagonal(4))
## is TRUE: a diagonal matrix is also (both upper and lower) triangular
(M <- Matrix(c(1,2,0,1), 2,2))
isTriangular(M) # TRUE (*and* of formal class "dtrMatrix")
isTriangular(as(M, "generalMatrix")) # still triangular, even if not "formally"
isTriangular(crossprod(M)) # FALSE
isDiagonal(matrix(c(2,0,0,1), 2,2)) # TRUE
## Look at implementations:
showMethods("isTriangular", includeDefs = TRUE)
showMethods("isDiagonal", includeDefs = TRUE)
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