R: Mining Association Rules and Frequent Itemsets

# Mining Association Rules and Frequent Itemsets

## Documentation for package ‘arules’ version 1.7-2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A B C D E F G H I L M N P Q R S T U W misc

## -- A --

abbreviate | Abbreviate function for item labels in transactions, itemMatrix and associations
abbreviate-method | Abbreviate function for item labels in transactions, itemMatrix and associations
addAggregate | Support for Item Hierarchies
addComplement | Add Complement-items to Transactions
addComplement-method | Add Complement-items to Transactions
Adult | Adult Data Set
AdultUCI | Adult Data Set
affinity | Computing Affinity Between Items
affinity-method | Computing Affinity Between Items
aggregate | Support for Item Hierarchies
aggregate-method | Support for Item Hierarchies
APappearance | Class APappearance - Specifying the appearance Argument of Apriori to Implement Rule Templates
APappearance-class | Class APappearance - Specifying the appearance Argument of Apriori to Implement Rule Templates
APcontrol | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
APcontrol-class | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
APparameter | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
APparameter-class | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
apriori | Mining Associations with Apriori
ar_cross_dissimilarity-class | Classes dist, ar\_cross\_dissimilarity and ar\_similarity - Proximity Matrices
ar_similarity-class | Classes dist, ar\_cross\_dissimilarity and ar\_similarity - Proximity Matrices
AScontrol | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
AScontrol-class | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
ASparameter | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
ASparameter-class | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
associations | Class associations - A Set of Associations
associations-class | Class associations - A Set of Associations

## -- B --

binning | Convert a Continuous Variable into a Categorical Variable

## -- C --

c | Combining Objects
c-method | Combining Objects
c-method | Class tidLists - Transaction ID Lists for Items/Itemsets
coerce-method | Class APappearance - Specifying the appearance Argument of Apriori to Implement Rule Templates
coerce-method | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
coerce-method | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
coerce-method | List Representation for Objects Based on Class itemMatrix
coerce-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
coerce-method | Class itemsets - A Set of Itemsets
coerce-method | Class rules - A Set of Rules
coerce-method | Class tidLists - Transaction ID Lists for Items/Itemsets
coerce-method | Class transactions - Binary Incidence Matrix for Transactions
compatible | Item Coding - Conversion between Item Labels and Column IDs
compatible-method | Item Coding - Conversion between Item Labels and Column IDs
confint | Confidence Intervals for Association Interest Measures
confint.rules | Confidence Intervals for Association Interest Measures
coverage | Calculate coverage for rules
coverage-method | Calculate coverage for rules
crossTable | Cross-tabulate joint occurrences across pairs of items
crossTable-method | Cross-tabulate joint occurrences across pairs of items

## -- D --

DATAFRAME | Data.frame Representation for arules Objects
DATAFRAME-method | Data.frame Representation for arules Objects
decode | Item Coding - Conversion between Item Labels and Column IDs
decode-method | Item Coding - Conversion between Item Labels and Column IDs
dim-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
dim-method | Class tidLists - Transaction ID Lists for Items/Itemsets
dimnames-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
dimnames-method | Class tidLists - Transaction ID Lists for Items/Itemsets
dimnames-method | Class transactions - Binary Incidence Matrix for Transactions
dimnames<--method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
dimnames<--method | Class tidLists - Transaction ID Lists for Items/Itemsets
dimnames<--method | Class transactions - Binary Incidence Matrix for Transactions
discretize | Convert a Continuous Variable into a Categorical Variable
discretizeDF | Convert a Continuous Variable into a Categorical Variable
dissimilarity | Dissimilarity Matrix Computation for Associations and Transactions
dissimilarity-method | Dissimilarity Matrix Computation for Associations and Transactions
dist | Dissimilarity Matrix Computation for Associations and Transactions
dist-class | Classes dist, ar\_cross\_dissimilarity and ar\_similarity - Proximity Matrices
duplicated | Find Duplicated Elements
duplicated-method | Find Duplicated Elements

## -- E --

ECcontrol | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
ECcontrol-class | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
eclat | Mining Associations with Eclat
ECparameter | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
ECparameter-class | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
encode | Item Coding - Conversion between Item Labels and Column IDs
encode-method | Item Coding - Conversion between Item Labels and Column IDs
Epub | Epub Data Set

## -- F --

filterAggregate | Support for Item Hierarchies

## -- G --

generatingItemsets | Class rules - A Set of Rules
generatingItemsets-method | Class rules - A Set of Rules
Groceries | Groceries Data Set

## -- H --

head | Sort Associations
head-method | Sort Associations
hierarchy | Support for Item Hierarchies
hits | Computing Transaction Weights With HITS

## -- I --

image | Visual Inspection of Binary Incidence Matrices
image-method | Visual Inspection of Binary Incidence Matrices
Income | Income Data Set
IncomeESL | Income Data Set
info | Class associations - A Set of Associations
info-method | Class associations - A Set of Associations
info<- | Class associations - A Set of Associations
info<--method | Class associations - A Set of Associations
initialize-method | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
initialize-method | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
initialize-method | Class associations - A Set of Associations
initialize-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
initialize-method | Class rules - A Set of Rules
initialize-method | Class tidLists - Transaction ID Lists for Items/Itemsets
initialize-method | Class transactions - Binary Incidence Matrix for Transactions
inspect | Display Associations and Transactions in Readable Form
inspect-method | Display Associations and Transactions in Readable Form
inspect-method | Class tidLists - Transaction ID Lists for Items/Itemsets
interestMeasure | Calculate Additional Interest Measures
interestMeasure-method | Calculate Additional Interest Measures
intersect | Set Operations
intersect-method | Set Operations
intersect-methods | Set Operations
is.closed | Find Closed Itemsets
is.closed-method | Find Closed Itemsets
is.element | Set Operations
is.element-method | Set Operations
is.element-methods | Set Operations
is.generator | Find Generator Itemsets
is.generator-method | Find Generator Itemsets
is.maximal | Find Maximal Itemsets
is.maximal-method | Find Maximal Itemsets
is.redundant | Find Redundant Rules
is.redundant-method | Find Redundant Rules
is.significant | Find Significant Rules
is.significant-method | Find Significant Rules
is.subset | Find Super and Subsets
is.subset-method | Find Super and Subsets
is.superset | Find Super and Subsets
is.superset-method | Find Super and Subsets
itemCoding | Item Coding - Conversion between Item Labels and Column IDs
itemcoding | Item Coding - Conversion between Item Labels and Column IDs
itemFrequency | Getting Frequency/Support for Single Items
itemFrequency-method | Getting Frequency/Support for Single Items
itemFrequencyPlot | Creating a Item Frequencies/Support Bar Plot
itemFrequencyPlot-method | Creating a Item Frequencies/Support Bar Plot
itemInfo | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemInfo-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemInfo-method | Class itemsets - A Set of Itemsets
itemInfo-method | Class rules - A Set of Rules
itemInfo-method | Class tidLists - Transaction ID Lists for Items/Itemsets
itemInfo<- | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemInfo<--method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemInfo<--method | Class tidLists - Transaction ID Lists for Items/Itemsets
itemIntersect | Itemwise Set Operations
itemIntersect-method | Itemwise Set Operations
itemLabels | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemLabels-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemLabels-method | Class itemsets - A Set of Itemsets
itemLabels-method | Class rules - A Set of Rules
itemLabels-method | Class tidLists - Transaction ID Lists for Items/Itemsets
itemLabels<- | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemLabels<--method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemLabels<--method | Class itemsets - A Set of Itemsets
itemLabels<--method | Class rules - A Set of Rules
itemMatrix | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemMatrix-class | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
items | Class itemsets - A Set of Itemsets
items-method | Class associations - A Set of Associations
items-method | Class itemsets - A Set of Itemsets
items-method | Class rules - A Set of Rules
items-method | Class transactions - Binary Incidence Matrix for Transactions
items<- | Class itemsets - A Set of Itemsets
items<--method | Class itemsets - A Set of Itemsets
itemSetdiff | Itemwise Set Operations
itemSetdiff-method | Itemwise Set Operations
itemsetInfo | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemsetInfo-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemsetInfo<- | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemsetInfo<--method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
itemSetOperations | Itemwise Set Operations
itemsets | Class itemsets - A Set of Itemsets
itemsets-class | Class itemsets - A Set of Itemsets
itemUnion | Itemwise Set Operations
itemUnion-method | Itemwise Set Operations

## -- L --

labels | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
labels-method | Class associations - A Set of Associations
labels-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
labels-method | Class itemsets - A Set of Itemsets
labels-method | Class rules - A Set of Rules
labels-method | Class tidLists - Transaction ID Lists for Items/Itemsets
labels-method | Class transactions - Binary Incidence Matrix for Transactions
length | Getting the Number of Elements
length-method | Class associations - A Set of Associations
length-method | Getting the Number of Elements
lhs | Class rules - A Set of Rules
lhs-method | Class rules - A Set of Rules
lhs<- | Class rules - A Set of Rules
lhs<--method | Class rules - A Set of Rules
LIST | List Representation for Objects Based on Class itemMatrix
LIST-method | List Representation for Objects Based on Class itemMatrix

## -- M --

match | Value Matching
match-method | Value Matching
merge | Adding Items to Data
merge-method | Adding Items to Data
Mushroom | Mushroom Data Set

## -- N --

nitems | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
nitems-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
nitems-method | Class itemsets - A Set of Itemsets
nitems-method | Class rules - A Set of Rules

## -- P --

plot.associations | Class associations - A Set of Associations
plot.itemMatrix | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
predict | Model Predictions
predict-method | Model Predictions
print-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items

## -- Q --

quality | Class associations - A Set of Associations
quality-method | Class associations - A Set of Associations
quality<- | Class associations - A Set of Associations
quality<--method | Class associations - A Set of Associations

## -- R --

random.patterns | Simulate a Random Transaction Data Set
random.transactions | Simulate a Random Transaction Data Set
read.PMML | Read and Write PMML
read.transactions | Read Transaction Data
recode | Item Coding - Conversion between Item Labels and Column IDs
recode-method | Item Coding - Conversion between Item Labels and Column IDs
redundant | Find Redundant Rules
rhs | Class rules - A Set of Rules
rhs-method | Class rules - A Set of Rules
rhs<- | Class rules - A Set of Rules
rhs<--method | Class rules - A Set of Rules
ruleInduction | Rule Induction from Itemsets
ruleInduction-method | Rule Induction from Itemsets
rules | Class rules - A Set of Rules
rules-class | Class rules - A Set of Rules

## -- S --

sample | Random Samples and Permutations
sample-method | Random Samples and Permutations
setdiff | Set Operations
setdiff-method | Set Operations
setdiff-methods | Set Operations
setequal | Set Operations
setequal-method | Set Operations
setequal-methods | Set Operations
setOperations | Set Operations
sets | Set Operations
show-method | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of apriori() and eclat()
show-method | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of apriori() and eclat()
show-method | Class associations - A Set of Associations
show-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
show-method | Class itemsets - A Set of Itemsets
show-method | Class rules - A Set of Rules
show-method | Class tidLists - Transaction ID Lists for Items/Itemsets
show-method | Class transactions - Binary Incidence Matrix for Transactions
size | Number of Items
size-method | Number of Items
SORT | Sort Associations
sort | Sort Associations
SORT-method | Sort Associations
sort-method | Sort Associations
subset | Subsetting Itemsets, Rules and Transactions
subset-method | Subsetting Itemsets, Rules and Transactions
summary-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
summary-method | Class itemsets - A Set of Itemsets
summary-method | Class rules - A Set of Rules
summary-method | Class tidLists - Transaction ID Lists for Items/Itemsets
summary-method | Class transactions - Binary Incidence Matrix for Transactions
summary.associations-class | Class associations - A Set of Associations
summary.itemMatrix-class | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
summary.itemsets-class | Class itemsets - A Set of Itemsets
summary.rules-class | Class rules - A Set of Rules
summary.tidLists-class | Class tidLists - Transaction ID Lists for Items/Itemsets
summary.transactions-class | Class transactions - Binary Incidence Matrix for Transactions
SunBai | The SunBai Data Set
sunbai | The SunBai Data Set
support | Support Counting for Itemsets
support-method | Support Counting for Itemsets
supportingTransactions | Supporting Transactions
supportingTransactions-method | Supporting Transactions

## -- T --

t-method | Class associations - A Set of Associations
t-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
t-method | Class tidLists - Transaction ID Lists for Items/Itemsets
t-method | Class transactions - Binary Incidence Matrix for Transactions
tail | Sort Associations
tail-method | Sort Associations
template | Class APappearance - Specifying the appearance Argument of Apriori to Implement Rule Templates
tidLists | Class tidLists - Transaction ID Lists for Items/Itemsets
tidlists | Class tidLists - Transaction ID Lists for Items/Itemsets
tidLists-class | Class tidLists - Transaction ID Lists for Items/Itemsets
tidLists-method | Class itemsets - A Set of Itemsets
tidLists_or_NULL-class | Class tidLists - Transaction ID Lists for Items/Itemsets
toLongFormat | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
toLongFormat-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
toLongFormat-method | Class transactions - Binary Incidence Matrix for Transactions
transactionInfo | Class transactions - Binary Incidence Matrix for Transactions
transactionInfo-method | Class tidLists - Transaction ID Lists for Items/Itemsets
transactionInfo-method | Class transactions - Binary Incidence Matrix for Transactions
transactionInfo<- | Class transactions - Binary Incidence Matrix for Transactions
transactionInfo<--method | Class tidLists - Transaction ID Lists for Items/Itemsets
transactionInfo<--method | Class transactions - Binary Incidence Matrix for Transactions
transactions | Class transactions - Binary Incidence Matrix for Transactions
transactions-class | Class transactions - Binary Incidence Matrix for Transactions

## -- U --

union | Set Operations
union-method | Set Operations
union-methods | Set Operations
unique | Remove Duplicated Elements from a Collection
unique-method | Remove Duplicated Elements from a Collection

## -- W --

WARM | Mining Associations from Weighted Transaction Data with Eclat (WARM)
warm | Mining Associations from Weighted Transaction Data with Eclat (WARM)
weclat | Mining Associations from Weighted Transaction Data with Eclat (WARM)
write | Write Transactions or Associations to a File
write-method | Write Transactions or Associations to a File
write.csv | Write Transactions or Associations to a File
write.PMML | Read and Write PMML
write.table | Write Transactions or Associations to a File

## -- misc --

%ain% | Value Matching
%ain%-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
%in% | Value Matching
%in%-method | Class associations - A Set of Associations
%in%-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
%in%-method | Value Matching
%oin% | Value Matching
%oin%-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
%pin% | Value Matching
%pin%-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items
[-method | Methods for "[": Extraction or Subsetting in Package 'arules'
[-methods | Methods for "[": Extraction or Subsetting in Package 'arules'
[<--method | Methods for "[": Extraction or Subsetting in Package 'arules'