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Assert that an object contains no missing values

Source: R/values.R
assert_no_missing_values.Rd

Checks that x contains no missing values, that is, no NA. Note that R also reports NaN ("Not a Number", such as 0 / 0) as missing via is.na(), so NaN is caught here too. To reject NaN and infinite values specifically as invalid numbers, use assert_all_finite().

Usage

assert_no_missing_values(
  x,
  null_ok = FALSE,
  arg = rlang::caller_arg(x),
  call = rlang::caller_env()
)

Arguments

x

Object to check.

null_ok

Single logical. If TRUE, a NULL value passes the check without error. Use this for optional arguments that default to NULL. Defaults to FALSE, so NULL is rejected unless you opt in.

arg

Name used to refer to x in error messages. Defaults to the name of the expression passed as x.

call

Environment used as the error's call context. Defaults to the calling function, so errors point at the user's code.

Value

The input x, invisibly.

Examples

assert_no_missing_values(c(1, 2, 3))