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arules (version 1.1-4)

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

25,512

Version

1.1-4

License

GPL-3

Homepage

http://R-Forge.R-project.org/projects/arules/

Maintainer

Michael Hahsler

Last Published

July 26th, 2014

Functions in arules (1.1-4)

Dissimilarity Computation

Income Data Set

Convert a Continuous Variable into a Categorical Variable

APappearance-class

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

Groceries Data Set

associations-class

Class ``associations'' - A Set of Associations

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

Mining Associations with Apriori

Aggregate Items Into Item Groups

AScontrol-classes

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

Combining Objects

List Representation for Objects Based on ``itemMatrix''

Cross-tabulate joint occurrences across pairs of items

Computing Affinity Between Items

ASparameter-classes

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

read.transactions

Read Transaction Data

Mining Associations with Eclat

Display Associations and Transactions in Readable Form

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

Rule Induction for a Set of Itemsets

Getting Frequency/Support for Single Items

itemMatrix-class

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

Find Super and Subsets

Getting the Number of Elements

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

Remove Duplicated Elements from a Collection

proximity-classes

Classes ``dist'', ``ar_cross_dissimilarity'' and ``ar_similarity'' --- Proximity Matrices

Merging (adding) items

itemFrequencyPlot

Creating a Item Frequencies/Support Bar Plot

random.transactions

Simulate a Random Transaction Data Set

Find Maximal Itemsets

Subsetting Itemsets, Rules and Transactions

Visual Inspection of Binary Incidence Matrices

Item Coding -- Handling Item Labels and Column IDs Conversions

Random Samples and Permutations

Read and Write PMML

transactions-class

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

Support Counting for Itemsets

interestMeasure

Calculating various additional interest measures

Getting the Size of Each Element

Writes transactions or associations to disk

Find Closed Itemsets

itemSetOperations

Itemwise Set Operations

Sorting Associations

Add Complement-items to Transactions

Calculate coverage for rules

Model Predictions

supportingTransactions

Supporting Transactions

Find Duplicated Elements

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