is_infeasible: Check the feasibility of a rule set

In data-cleaning/validate.simplify: Checking and Simplifying Validation Rule Sets

Check the feasibility of a rule set

Description

An infeasible rule set cannot be satisfied by any data because of internal contradictions. This function checks whether the record-wise linear, categorical and conditional rules in a rule set are consistent.

Usage

is_infeasible(x, ...)

Arguments

x	validator object with validation rules.
...	not used

Value

TRUE or FALSE

See Also

Other feasibility: detect_boundary_cat(), detect_boundary_num(), detect_infeasible_rules(), is_contradicted_by(), make_feasible()

Examples

rules <- validator( x > 0)

is_infeasible(rules)

rules <- validator( rule1 = x > 0
                  , rule2 = x < 0
                  )

is_infeasible(rules)

detect_infeasible_rules(rules)
make_feasible(rules)

# find out the conflict with this rule
is_contradicted_by(rules, "rule1")

data-cleaning/validate.simplify documentation built on Oct. 11, 2023, 12:15 a.m.