detect_redundancy: Detect redundant rules without removing.

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

Detect redundant rules without removing.

Description

Detect redundancies in a rule set.

Usage

detect_redundancy(x, ...)

Arguments

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

Note

For removal of duplicate rules, simplify

See Also

Other redundancy: detect_fixed_variables(), is_implied_by(), remove_redundancy(), simplify_fixed_variables(), simplify_rules()

Examples

rules <- validator( rule1 = x > 1
                  , rule2 = x > 2
                  )

# rule1 is superfluous
remove_redundancy(rules)

# rule 1 is implied by rule 2
is_implied_by(rules, "rule1")

rules <- validator( rule1 = x > 2
                  , rule2 = x > 2
)

# standout: rule1 and rule2, oldest rules wins
remove_redundancy(rules)

# Note that detection signifies both rules!
detect_redundancy(rules)

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