arules (version 1.7.13)

c: Combining Association and Transaction Objects

Description

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

Usage

# S4 method for itemMatrix
c(x, ..., recursive = FALSE)
# S4 method for transactions
c(x, ..., recursive = FALSE)
# S4 method for tidLists
c(x, ..., recursive = FALSE)
# S4 method for rules
c(x, ..., recursive = FALSE)
# S4 method for itemsets
c(x, ..., recursive = FALSE)

Value

An object of the same class as x.

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.

Author

Michael Hahsler

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 generics::union() rather than c() to combine several mined itemsets or rules into a single set without duplicates.

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