Check whether a list of character vectors contains valid conditions

A valid condition is a character vector of predicate names, where each predicate corresponds to a column name in a given data frame or matrix. This function verifies that each element of a list x contains only valid predicates that match column names of data.

Special cases:

• An empty character vector (character(0)) is considered a valid condition and always passes the check.

• A NULL element is treated the same as an empty character vector, i.e., it is also a valid condition.

Usage

is_condition(x, data)

Arguments

x

A list of character vectors, each representing a condition.

data

A matrix or data frame whose column names define valid predicates.

Value

A logical vector with one element for each condition in x. An element is TRUE if the corresponding condition is valid, i.e. all of its predicates are column names of data. Otherwise, it is FALSE.

See also

remove_ill_conditions(), format_condition()

Author

Michal Burda

Examples

d <- data.frame(foo = 1:5, bar = 1:5, blah = 1:5)

is_condition(list("foo"), d)
#> [1] TRUE
is_condition(list(c("bar", "blah"), NULL, c("foo", "bzz")), d)
#> [1]  TRUE  TRUE FALSE