c: Combining Association and Transaction Objects

In mhahsler/arules: Mining Association Rules and Frequent Itemsets

Combining Association and Transaction Objects

Description

Provides the methods to combine several associations or transactions objects into a single object.

Usage

## S4 method for signature 'itemMatrix'
c(x, ..., recursive = FALSE)

## S4 method for signature 'transactions'
c(x, ..., recursive = FALSE)

## S4 method for signature 'tidLists'
c(x, ..., recursive = FALSE)

## S4 method for signature 'rules'
c(x, ..., recursive = FALSE)

## S4 method for signature 'itemsets'
c(x, ..., recursive = FALSE)

Arguments

x	first object.
...	further objects of the same class as x to be combined.
recursive	a logical. If recursive = TRUE, the function recursively descends through lists combining all their elements into a vector.

Details

Combining arules objects is done by combining the rows of itemMatrix objects representing the associations or transactions.

Note that c() can result in duplicates. Use union() rather than c() to combine several mined itemsets or rules into a single set without duplicates.

Value

An object of the same class as x.

Author(s)

Michael Hahsler

See Also

Other associations functions: abbreviate(), associations-class, duplicated(), extract, inspect(), is.closed(), is.generator(), is.maximal(), is.redundant(), is.significant(), is.superset(), itemsets-class, match(), rules-class, sample(), sets, size(), sort(), unique()

Other itemMatrix and transactions functions: abbreviate(), crossTable(), duplicated(), extract, hierarchy, image(), inspect(), is.superset(), itemFrequency(), itemFrequencyPlot(), itemMatrix-class, match(), merge(), random.transactions(), sample(), sets, size(), supportingTransactions(), tidLists-class, transactions-class, unique()

Examples

data("Adult")

## combine transactions
a1 <- Adult[1:10]
a2 <- Adult[101:110]

aComb <- c(a1, a2)
summary(aComb)

## combine rules (can contain the same rule multiple times)
r1 <- apriori(Adult[1:1000])
r2 <- apriori(Adult[1001:2000])
rComb <- c(r1, r2)
rComb

## union of rules (a set with only unique rules: same as unique(rComb))
rUnion <- union(r1,r2)
rUnion

mhahsler/arules documentation built on March 19, 2024, 5:45 p.m.