merge: Adding Items to Data

In arules: Mining Association Rules and Frequent Itemsets

Adding Items to Data

Description

Provides the generic function merge() and the methods for itemMatrix and transactions to add new items to existing data.

Usage

merge(x, y, ...)

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

## S4 method for signature 'transactions'
merge(x, y, ...)

Arguments

x	an object of class itemMatrix or transactions.
y	an object of the same class as x (or something which can be coerced to that class).
...	further arguments; unused.

Value

Returns a new object of the same class as x with the items in y added.

Author(s)

Michael Hahsler

See Also

Other preprocessing: discretize(), hierarchy, itemCoding, sample()

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

Examples

data("Groceries")

## create a random item as a matrix
randomItem <- sample(c(TRUE, FALSE), size = length(Groceries),replace = TRUE)
randomItem <- as.matrix(randomItem)
colnames(randomItem) <- "random item"
head(randomItem, 3)

## add the random item to Groceries
g2 <- merge(Groceries, randomItem)
nitems(Groceries)
nitems(g2)
inspect(head(g2, 3))

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