subset: Subsetting Itemsets, Rules and Transactions

In arules: Mining Association Rules and Frequent Itemsets

Subsetting Itemsets, Rules and Transactions

Description

Provides the generic function subset() and methods to subset associations or transactions (itemMatrix) which meet certain conditions (e.g., contains certain items or satisfies a minimum lift).

Usage

subset(x, ...)

## S4 method for signature 'itemMatrix'
subset(x, subset, ...)

## S4 method for signature 'itemsets'
subset(x, subset, ...)

## S4 method for signature 'rules'
subset(x, subset, ...)

Arguments

x	object to be subsetted.
...	further arguments to be passed to or from other methods.
subset	logical expression indicating elements to keep.

Details

subset() finds the rows/itemsets/rules of x that match the expression given in subset. Parts of x like items, lhs, rhs and the columns in the quality data.frame (e.g., support and lift) can be directly referred to by their names in subset.

Important operators to select itemsets containing items specified by their labels are

• %in%: select itemsets matching any given item

• %ain%: select only itemsets matching all given item

• %oin%: select only itemsets matching only the given item

• %pin%: %in% with partial matching

Value

An object of the same class as x containing only the elements which satisfy the conditions.

Author(s)

Michael Hahsler

Examples

data("Adult")
rules <- apriori(Adult)

## select all rules with item "marital-status=Never-married" in 
## the right-hand-side and lift > 2
rules.sub <- subset(rules, subset = rhs %in% "marital-status=Never-married" 
    & lift > 2)

## use partial matching for all items corresponding to the variable
## "marital-status"
rules.sub <- subset(rules, subset = rhs %pin% "marital-status=")

## select only rules with items "age=Young" and "workclass=Private" in
## the left-hand-side
rules.sub <- subset(rules, subset = lhs %ain% 
    c("age=Young", "workclass=Private"))

arules documentation built on Sept. 11, 2024, 8:15 p.m.