A B C D E F G H I L M N P Q R S T U W misc
| abbreviate | Abbreviate item labels in transactions, itemMatrix and associations | 
| abbreviate-method | Abbreviate 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 | 
| 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 the Apriori Algorithm | 
| Apriori | Mining Associations with the Apriori Algorithm | 
| apriori | Mining Associations with the Apriori Algorithm | 
| 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 | 
| AScontrol-classes | 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 | 
| ASparameter-classes | 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 | 
| binning | Convert a Continuous Variable into a Categorical Variable | 
| c | Combining Association and Transaction Objects | 
| c-method | Combining Association and Transaction Objects | 
| carpenter | Interface to Mining Algorithms from fim4r | 
| coerce-AScontrol | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of Apriori and Eclat | 
| 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 | 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 | 
| coercion | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of APRIORI and ECLAT | 
| coercion-APappearance | Class APappearance - Specifying the appearance Argument of Apriori to Implement Rule Templates | 
| coercion-itemMatrix | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items | 
| coercion-itemsets | Class itemsets - A Set of Itemsets | 
| coercion-rules | Class rules - A Set of Rules | 
| coercion-tidLists | Class tidLists - Transaction ID Lists for Items/Itemsets | 
| coercion-transactions | 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 Interest Measures for Association Rules | 
| confint.rules | Confidence Intervals for Interest Measures for Association Rules | 
| control | Classes AScontrol, APcontrol, ECcontrol - Specifying the control Argument of Apriori and Eclat | 
| 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 | 
| 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 | 
| duplicated | Find Duplicated Elements | 
| duplicated-method | Find Duplicated Elements | 
| 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 | 
| Eclat | Mining Associations with 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 | The Epub Transactions Data Set | 
| extract | Methods for "[": Extraction or Subsetting arules Objects | 
| filterAggregate | Support for Item Hierarchies | 
| fim4r | Interface to Mining Algorithms from fim4r | 
| FPgrowth | Interface to Mining Algorithms from fim4r | 
| fpgrowth | Interface to Mining Algorithms from fim4r | 
| generatingItemsets | Class rules - A Set of Rules | 
| generatingItemsets-method | Class rules - A Set of Rules | 
| Groceries | The Groceries Transactions Data Set | 
| groceries | The Groceries Transactions Data Set | 
| head | Class associations - A Set of Associations | 
| head-method | Class associations - A Set of Associations | 
| hierarchy | Support for Item Hierarchies | 
| hits | Computing Transaction Weights With HITS | 
| image | Visual Inspection of Binary Incidence Matrices | 
| image-method | Visual Inspection of Binary Incidence Matrices | 
| Income | The Income Data Set | 
| income | The Income Data Set | 
| IncomeESL | The 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 | 
| interestMeasure | Calculate Additional Interest Measures | 
| interestMeasure-method | Calculate Additional Interest Measures | 
| intersect-method | Set Operations | 
| intersect.associations | Set Operations | 
| intersect.itemMatrix | Set Operations | 
| is.closed | Find Closed Itemsets | 
| is.closed-method | Find Closed Itemsets | 
| is.element-method | Set Operations | 
| is.element.associations | Set Operations | 
| is.element.itemMatrix | 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 | 
| IsTa | Interface to Mining Algorithms from fim4r | 
| ista | Interface to Mining Algorithms from fim4r | 
| 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 associations - A Set of Associations | 
| 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 associations - A Set of Associations | 
| 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 | 
| itemwiseSetOps | Itemwise Set Operations | 
| 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 | 
| length-method | Class associations - A Set of Associations | 
| length-method | Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items | 
| length-method | Class itemsets - A Set of Itemsets | 
| length-method | Class rules - A Set of Rules | 
| length-method | Class tidLists - Transaction ID Lists for Items/Itemsets | 
| 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 | 
| match | Value Matching | 
| match-method | Value Matching | 
| merge | Adding Items to Data | 
| merge-method | Adding Items to Data | 
| Mushroom | The Mushroom Data Set as Transactions | 
| mushroom | The Mushroom Data Set as Transactions | 
| 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 | 
| parameter | Classes ASparameter, APparameter, ECparameter - Specifying the parameter Argument of APRIORI and ECLAT | 
| plot | Class associations - A Set of Associations | 
| plot.associations | Class associations - A Set of Associations | 
| plot.itemMatrix | Class associations - A Set of Associations | 
| pmml | Read and Write PMML | 
| predict | Model Predictions | 
| predict-method | Model Predictions | 
| proximity-classes | Classes dist, ar_cross_dissimilarity and ar_similarity - Proximity Matrices | 
| 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 | 
| random.patterns | Simulate a Random Transactions | 
| random.transactions | Simulate a Random Transactions | 
| read | Read Transaction Data | 
| 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 | 
| RElim | Interface to Mining Algorithms from fim4r | 
| relim | Interface to Mining Algorithms from fim4r | 
| 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 | Association Rule Induction from Itemsets | 
| ruleInduction-method | Association Rule Induction from Itemsets | 
| rules | Class rules - A Set of Rules | 
| rules-class | Class rules - A Set of Rules | 
| SaM | Interface to Mining Algorithms from fim4r | 
| sam | Interface to Mining Algorithms from fim4r | 
| sample | Random Samples and Permutations | 
| sample-method | Random Samples and Permutations | 
| setdiff-method | Set Operations | 
| setdiff.associations | Set Operations | 
| setdiff.itemMatrix | Set Operations | 
| setequal-method | Set Operations | 
| setequal.associations | Set Operations | 
| setequal.itemMatrix | 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 in Sets | 
| size-method | Number of Items in Sets | 
| SORT | Sort Associations | 
| sort | 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 Weighted Transactions Data Set | 
| sunbai | The SunBai Weighted Transactions Data Set | 
| support | Support Counting for Itemsets | 
| support-method | Support Counting for Itemsets | 
| supportingTransactions | Supporting Transactions | 
| supportingTransactions-method | Supporting Transactions | 
| t-method | Class associations - A Set of Associations | 
| t-method | Class tidLists - Transaction ID Lists for Items/Itemsets | 
| t-method | Class transactions - Binary Incidence Matrix for Transactions | 
| t-transactions | Class transactions - Binary Incidence Matrix for Transactions | 
| tail | Class associations - A Set of Associations | 
| tail-method | Class associations - A Set of Associations | 
| 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 | 
| 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 | 
| union-method | Set Operations | 
| union.associations | Set Operations | 
| union.itemMatrix | Set Operations | 
| unique | Remove Duplicated Elements from a Collection | 
| unique-method | Remove Duplicated Elements from a Collection | 
| 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) | 
| 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 | 
| "[-methods" | Methods for "[": Extraction or Subsetting arules Objects | 
| %ain% | Value Matching | 
| %ain%-method | Value Matching | 
| %in% | Value Matching | 
| %in%-method | Value Matching | 
| %oin% | Value Matching | 
| %oin%-method | Value Matching | 
| %pin% | Value Matching | 
| %pin%-method | Value Matching | 
| [-method | Methods for "[": Extraction or Subsetting arules Objects |