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arules (version 1.1-9)

Mining Association Rules and Frequent Itemsets

Description

Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides interfaces to C implementations of the association mining algorithms Apriori and Eclat by C. Borgelt.

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Version

Install

install.packages('arules')

Monthly Downloads

19,711

Version

1.1-9

License

GPL-3

Maintainer

Michael Hahsler

Last Published

July 14th, 2015

Functions in arules (1.1-9)

associations-class

Class ``associations'' - A Set of Associations
Adult

Adult Data Set
inspect

Display Associations and Transactions in Readable Form
dissimilarity

Dissimilarity Computation
LIST

List Representation for Objects Based on ``itemMatrix''
duplicated

Find Duplicated Elements
aggregate

Aggregate Items Into Item Groups
APappearance-class

Class ``APappearance'' --- Specifying the `appearance' Argument of apriori()
Epub

Epub Data Set
eclat

Mining Associations with Eclat
AScontrol-classes

Classes ``AScontrol'', ``APcontrol'', ``ECcontrol'' --- Specifying the `control' Argument of apriori() and eclat()
is.superset

Find Super and Subsets
[-methods

Methods for "[": Extraction or Subsetting in Package 'arules'
crossTable

Cross-tabulate joint occurrences across pairs of items
image

Visual Inspection of Binary Incidence Matrices
itemCoding

Item Coding -- Handling Item Labels and Column IDs Conversions
coverage

Calculate coverage for rules
is.maximal

Find Maximal Itemsets
setOperations

Set Operations
random.transactions

Simulate a Random Transaction Data Set
sample

Random Samples and Permutations
merge

Merging (adding) items
size

Getting the Size of Each Element
predict

Model Predictions
supportingTransactions

Supporting Transactions
rules-class

Class ``rules'' --- A Set of Rules
itemFrequency

Getting Frequency/Support for Single Items
read.transactions

Read Transaction Data
itemSetOperations

Itemwise Set Operations
tidLists-class

Class ``tidLists'' --- Transaction ID Lists for Items/Itemsets
transactions-class

Class ``transactions'' --- Binary Incidence Matrix for Transactions
unique

Remove Duplicated Elements from a Collection
itemMatrix-class

Class ``itemMatrix'' --- Sparse Binary Incidence Matrix to Represent Sets of Items
sort

Sorting Associations
ASparameter-classes

Classes ``ASparameter'', ``APparameter'', ``ECparameter'' --- Specifying the `parameter' Argument of apriori() and eclat()
ruleInduction

Rule Induction for a Set of Itemsets
read.PMML

Read and Write PMML
apriori

Mining Associations with Apriori
itemsets-class

Class ``itemsets'' --- A Set of Itemsets
proximity-classes

Classes ``dist'', ``ar_cross_dissimilarity'' and ``ar_similarity'' --- Proximity Matrices
is.closed

Find Closed Itemsets
length

Getting the Number of Elements
discretize

Convert a Continuous Variable into a Categorical Variable
match

Value Matching
subset

Subsetting Itemsets, Rules and Transactions
Groceries

Groceries Data Set
support

Support Counting for Itemsets
affinity

Computing Affinity Between Items
itemFrequencyPlot

Creating a Item Frequencies/Support Bar Plot
addComplement

Add Complement-items to Transactions
Income

Income Data Set
interestMeasure

Calculating various additional interest measures
write

Writes transactions or associations to disk
combine

Combining Objects