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arules (version 1.0-12)

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

35,570

Version

1.0-12

License

GPL-2

Homepage

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

Maintainer

Michael Hahsler

Last Published

November 28th, 2012

Functions in arules (1.0-12)

random.transactions

Simulate a Random Transaction Data Set

ASparameter-classes

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

Combining Objects

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

Computing Affinity Between Items

Merging (adding) items

itemFrequencyPlot

Creating a Item Frequencies/Support Bar Plot

Groceries Data Set

Find Maximal Itemsets

read.transactions

Read Transaction Data

interestMeasure

Calculating various additional interest measures

Getting the Size of Each Element

AScontrol-classes

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

Convert a Continuous Variable into a Categorical Variable

Model Predictions

Calculate coverage for rules

Display Associations and Transactions in Readable Form

Getting the Number of Elements

Mining Associations with Eclat

Subsetting Itemsets, Rules and Transactions

Mining Associations with Apriori

List Representation for Objects Based on ``itemMatrix''

Support Counting for Itemsets

Rule Induction for a Set of Itemsets

Find Super and Subsets

Visual Inspection of Binary Incidence Matrices

Read and Write PMML

Add Complement-items to Transactions

Find Closed Itemsets

APappearance-class

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

Item Coding -- Handling Item Labels and Column IDs Conversions

Dissimilarity Computation

Random Samples and Permutations

Writes transactions or associations to disk

Income Data Set

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

Getting Frequency/Support for Single Items

transactions-class

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

Aggregate Items Into Item Groups

Remove Duplicated Elements from a Collection

associations-class

Class ``associations'' - A Set of Associations

Cross-tabulate joint occurrences across pairs of items

itemMatrix-class

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

proximity-classes

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

Find Duplicated Elements

Sorting Associations

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

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

supportingTransactions

Supporting Transactions