Assert that a data frame contains required columns — assert_has

Checks that x is a data frame and that every name in columns is present among its columns. Extra columns are allowed.

Usage

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

x: Object to check.
columns: Character vector of column names that must be present.
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.

The input x, invisibly.

assert_has_columns(data.frame(a = 1, b = 2, c = 3), c("a", "b"))