coverage {arules}

Calculate coverage for rules

Description

Provides the generic function and a method to calculate the coverage (support of the left-hand-side) of rules.

Usage

coverage(x, transactions = NULL, reuse = TRUE)

## S4 method for signature 'rules'
coverage(x, transactions = NULL, reuse = TRUE)

Arguments

x

the set of rules.

transactions

the data set used to generate x. Only needed if the quality slot of x does not contain support and confidence.

reuse

reuse support and confidence stored in x or recompute from transactions?

Details

Coverage (also called cover or LHS-support) is the support of the left-hand-side of the rule X => Y, i.e., supp(X). It represents a measure of to how often the rule can be applied.

Coverage can be quickly calculated from the rule's quality measures (support and confidence) stored in the quality slot. If these values are not present, then the support of the LHS is counted using the data supplied in transactions.

Coverage is also one of the measures available via the function interestMeasure().

Value

A numeric vector of the same length as x containing the coverage values for the sets in x.

Author(s)

Michael Hahsler

See Also

Other interest measures: confint(), interestMeasure(), is.redundant(), is.significant(), support()

Examples

data("Income")

## find and some rules (we only use 5 rules here) and calculate coverage
rules <- apriori(Income)[1:5]
quality(rules) <- cbind(quality(rules), coverage = coverage(rules))

inspect(rules)