is.null.DN | R Documentation |
dn
NULL-like ?Are the dimnames
dn
NULL
-like?
is.null.DN(dn)
is less strict than is.null(dn)
,
because it is also true (TRUE
) when the dimnames
dn
are “like” NULL
, or list(NULL,NULL)
, as
they can easily be for the traditional R matrices
(matrix
) which have no formal class
definition, and hence much freedom in how their dimnames
look like.
is.null.DN(dn)
dn |
|
logical
TRUE
or FALSE
.
This function is really to be used on “traditional” matrices
rather than those inheriting from Matrix
, as
the latter will always have dimnames list(NULL,NULL)
exactly,
in such a case.
Martin Maechler
is.null
,
dimnames
, matrix
.
m1 <- m2 <- m3 <- m4 <- m <-
matrix(round(100 * rnorm(6)), 2, 3)
dimnames(m1) <- list(NULL, NULL)
dimnames(m2) <- list(NULL, character())
dimnames(m3) <- rev(dimnames(m2))
dimnames(m4) <- rep(list(character()),2)
m4 # prints absolutely identically to m
c.o <- capture.output
cm <- c.o(m)
stopifnot(exprs = {
m == m1; m == m2; m == m3; m == m4
identical(cm, c.o(m1)); identical(cm, c.o(m2))
identical(cm, c.o(m3)); identical(cm, c.o(m4))
})
hasNoDimnames <- function(.) is.null.DN(dimnames(.))
stopifnot(exprs = {
hasNoDimnames(m)
hasNoDimnames(m1); hasNoDimnames(m2)
hasNoDimnames(m3); hasNoDimnames(m4)
hasNoDimnames(Matrix(m) -> M)
hasNoDimnames(as(M, "sparseMatrix"))
})
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