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arules (version 0.2-6)

Mining Association Rules and Frequent Itemsets

Description

Provides the basic infrastructure for mining and analyzing association rules and an interface to C implementations of the mining algorithms Apriori and Eclat.

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Version

Install

install.packages('arules')

Monthly Downloads

25,344

Version

0.2-6

License

GPL version 2 or later. This R package includes C code from Christian Borgelt which is distributed under the GPL version 2.1.

Maintainer

Michael Hahsler

Last Published

December 14th, 2024

Functions in arules (0.2-6)

Computing Affinity Between Items

Income Data Set

Mining Associations with Apriori

Groceries Data Set

Writes transactions or associations to disk

Getting the Size of Each Element

Visual Inspection of Binary Incidence Matrices

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

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

AScontrol-classes

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

Random Samples and Permutations

Find Duplicated Elements

Model Predictions

Subsetting Itemsets, Rules and Transactions

associations-class

Class ``associations'' - A Set of Associations

read.transactions

Read Transaction Data

Set Operations for Associations

Getting the Number of Elements

Combining Objects

itemMatrix-class

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

Calculating Additional Interest Measures for Existing Associations

proximity-classes

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

Remove Duplicated Elements from a Collection

transactions-class

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

ASparameter-classes

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

Dissimilarity Computation

List Representation for Objects Based on ``itemMatrix''

Support Counting for Itemsets

itemFrequencyPlot

Creating a Item Frequencies/Support Bar Plot

Display Associations and Transactions in Readable Form

Rule Induction for a Set of Itemsets

random.transactions

Create a Random Transaction Data Set

Getting Frequency/Support for Single Items

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

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

APappearance-class

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

Sorting Associations

Mining Associations with Eclat

Item Coding -- Handling Item Labels and Column IDs Conversions