addRuleQuality: Add quality measures to association rules

In brooksandrew/Rsenal: Rsenal (arsenal) of assorted R functions developed over the years

Description

Adds measures of rule quality (conviction, hyperConfidence, cosine, chiSquare, coverage, doc, gini, hyperlift) to a set of association rules mined from apriori. Usually used before converting ruleset to data.frame and exporting to some sort of text file.

Usage

addRuleQuality(trans, rules, include = NULL, exclude = "improvement")

Arguments

trans	transaction set (s4 class from arules package)
rules	set of rules from apriori
include	character vector specifying which quality measures to include. Default is to include everything.
exclude	character vector specifying which quality measures to exclude. Default is to exclude 'improvement' because it seems to be slow.

Value

ruleset with additional quality measures

Examples

library('arules')
data("Adult")
ar <- apriori(Adult, parameter = list(supp = 0.5, conf = 0.9, target = "rules"))
ar <- addRuleQuality(trans=Adult, rules=ar)
df <- Rsenal::rules2df(ar)

brooksandrew/Rsenal documentation built on May 13, 2019, 7:50 a.m.