Skip to contents

Assert that columns of a data frame contain no missing values

Source: R/data_frame.R
assert_no_missing_in_columns.Rd

Checks that x is a data frame and that the named columns contain no NA values. If columns is NULL (the default) every column is checked.

Usage

assert_no_missing_in_columns(
  x,
  columns = NULL,
  null_ok = FALSE,
  arg = rlang::caller_arg(x),
  call = rlang::caller_env()
)

Arguments

x

Object to check.

columns

Character vector of columns to check, or NULL for all columns.

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_in_columns(data.frame(a = 1:3, b = 4:6))