is_named | R Documentation |
is_named()
is a scalar predicate that checks that x
has a
names
attribute and that none of the names are missing or empty
(NA
or ""
).
is_named2()
is like is_named()
but always returns TRUE
for
empty vectors, even those that don't have a names
attribute.
In other words, it tests for the property that each element of a
vector is named. is_named2()
composes well with names2()
whereas is_named()
composes with names()
.
have_name()
is a vectorised variant.
is_named(x)
is_named2(x)
have_name(x)
x |
A vector to test. |
is_named()
always returns TRUE
for empty vectors because
is_named()
and is_named2()
are scalar predicates that
return TRUE
or FALSE
. have_name()
is vectorised and returns
a logical vector as long as the input.
# is_named() is a scalar predicate about the whole vector of names:
is_named(c(a = 1, b = 2))
is_named(c(a = 1, 2))
# Unlike is_named2(), is_named() returns `FALSE` for empty vectors
# that don't have a `names` attribute.
is_named(list())
is_named2(list())
# have_name() is a vectorised predicate
have_name(c(a = 1, b = 2))
have_name(c(a = 1, 2))
# Empty and missing names are treated as invalid:
invalid <- set_names(letters[1:5])
names(invalid)[1] <- ""
names(invalid)[3] <- NA
is_named(invalid)
have_name(invalid)
# A data frame normally has valid, unique names
is_named(mtcars)
have_name(mtcars)
# A matrix usually doesn't because the names are stored in a
# different attribute
mat <- matrix(1:4, 2)
colnames(mat) <- c("a", "b")
is_named(mat)
names(mat)
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