sample: Random Samples and Permutations

In arules: Mining Association Rules and Frequent Itemsets

Random Samples and Permutations

Description

Provides the generic function sample() and methods to sample from transactions and associations.

Usage

## S4 method for signature 'itemMatrix'
sample(x, size, replace = FALSE, prob = NULL, ...)

## S4 method for signature 'associations'
sample(x, size, replace = FALSE, prob = NULL, ...)

Arguments

x	object to be sampled from (a set of associations or transactions).
size	sample size.
replace	a logical. Sample with replacement?
prob	a numeric vector of probability weights.
...	further arguments.

Value

An object of the same class as x.

Author(s)

Michael Hahsler

See Also

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

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

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

Examples

data("Adult")

## sample with replacement
s <- sample(Adult, 500, replace = TRUE)
s

arules documentation built on April 1, 2023, 12:05 a.m.