Check if an argument is a single missing value

checkScalarNA(x, null.ok = FALSE)

check_scalar_na(x, null.ok = FALSE)

assertScalarNA(x, null.ok = FALSE, .var.name = vname(x), add = NULL)

assert_scalar_na(x, null.ok = FALSE, .var.name = vname(x), add = NULL)

testScalarNA(x, null.ok = FALSE)

test_scalar_na(x, null.ok = FALSE)

expect_scalar_na(x, null.ok = FALSE, info = NULL, label = vname(x))

Arguments

x

[any]
Object to check.

null.ok

[logical(1)]
If set to TRUE, x may also be NULL. In this case only a type check of x is performed, all additional checks are disabled.

.var.name

[character(1)]
Name of the checked object to print in assertions. Defaults to the heuristic implemented in vname.

add

[AssertCollection]
Collection to store assertion messages. See AssertCollection.

info

[character(1)]
Extra information to be included in the message for the testthat reporter. See expect_that.

label

[character(1)]
Name of the checked object to print in messages. Defaults to the heuristic implemented in vname.

Value

Depending on the function prefix: If the check is successful, the functions

assertScalarNA/assert_scalar_na return

x invisibly, whereas

checkScalarNA/check_scalar_na and

testScalarNA/test_scalar_na return

TRUE. If the check is not successful,

assertScalarNA/assert_scalar_na

throws an error message,

testScalarNA/test_scalar_na

returns FALSE, and checkScalarNA/check_scalar_na

return a string with the error message. The function expect_scalar_na always returns an

expectation.

See also

Examples

testScalarNA(1)
#> [1] FALSE
testScalarNA(NA_real_)
#> [1] TRUE
testScalarNA(rep(NA, 2))
#> [1] FALSE