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-----Original Message-----
From: kevin.shaney [mailto:kevin.shaney at rosetta.com]
Sent: Monday, August 19, 2013 8:35 PM
To: r-help at r-project.org
Subject: arules LHS & RHS AND Condition Filtering
I have been looking around rhelp and online for help on how to filter arules
lists w.r.t. the following problem. Any help is much appreciated! Also, see
code below.
- Have a data file with {rows = product orders}, {columns = product categories},
and {data = 1/0 yes/no flag indicating whether purchase-x included category-y}
- Want to select subset of RHS and LHS rules that ONLY include instances of
purchase = 1 (e.g. I don?t care about whether a non-purchase event on LHS
corresponded with a purchase event on RHS, and don?t care about non-purchase
events at all on RHS)
- Code below works somewhat, but seems to be an OR condition (e.g. there are
rules of form {V1=1, V2=0} => {V3=1} making it into my subset list.
Is there any way to limit both RHS and LHS so only subset rules with all 1?s are
included? Also, if below is generally correct, is there a more compact way to
write all the subset rules (since all are intended to say ?only want variable
values = 1 in rules?)?
Appreciate help!
arulesinput <- read.csv("ARULES_EX.csv",stringsAsFactors=TRUE)
arulesinput_subset = cbind( data.frame(lapply(arulesinput[,c(2:6)],factor))
)
rules.all <- apriori(arulesinput_subset, parameter
list(minlen=2,maxlen=4,supp=0.01,conf=0.8))
rules_subset <- subset(rules.all,(lhs %in% c("V1=1",
"V2=1", "V3=1", "V4=1",
"V5=1")) &
(rhs %in% c("V1=1",
"V2=1",
"V3=1",
"V4=1",
"V5=1"))
)
rules_subset_frame <- as(rules_subset,"data.frame")
write.csv(as(rules_subset,"data.frame"),"TEMP.csv")
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