SDEFSR (version 0.7.22)

[.SDEFSR_Rules: Filter rules in a SDEFSR_Rules object returning a new SDEFSR_Rules object

Description

Generates a new SDEFSR_Rules object containing the rules that passed the filter specified

Usage

# S3 method for SDEFSR_Rules
[(SDEFSR_RulesObject, condition = T)

Arguments

SDEFSR_RulesObject

The SDEFSR_RulesObject object to filter

condition

Expression to filter the SDEFSR_Rules object

Details

This functions allows to filter the rule set by a given quality measure. The quality measures that are available are: nVars, Coverage, Unusualness, Significance, FuzzySupport, Support, FuzzyConfidence, Confidence, TPr and FPr

Examples

# NOT RUN {
library(SDEFSR)
#Apply filter by unusualness
habermanRules[Unusualness > 0.05]

#Also, you can make the filter as complex as you can
#Filter by Unusualness and TPr
habermanRules[Unusualness > 0.05 & TPr > 0.9]


# }