## Loading required package: Matrix
## 
## Attaching package: 'arules'
## The following objects are masked from 'package:base':
## 
##     abbreviate, write
## transactions as itemMatrix in sparse format with
##  9835 rows (elements/itemsets/transactions) and
##  169 columns (items) and a density of 0.02609146 
## 
## most frequent items:
##       whole milk other vegetables       rolls/buns             soda 
##             2513             1903             1809             1715 
##           yogurt          (Other) 
##             1372            34055 
## 
## element (itemset/transaction) length distribution:
## sizes
##    1    2    3    4    5    6    7    8    9   10   11   12   13   14   15 
## 2159 1643 1299 1005  855  645  545  438  350  246  182  117   78   77   55 
##   16   17   18   19   20   21   22   23   24   26   27   28   29   32 
##   46   29   14   14    9   11    4    6    1    1    1    1    3    1 
## 
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   1.000   2.000   3.000   4.409   6.000  32.000 
## 
## includes extended item information - examples:
##             labels
## 1 abrasive cleaner
## 2 artif. sweetener
## 3   baby cosmetics
##     items                     
## [1] {citrus fruit,            
##      margarine,               
##      ready soups,             
##      semi-finished bread}     
## [2] {coffee,                  
##      tropical fruit,          
##      yogurt}                  
## [3] {whole milk}              
## [4] {cream cheese,            
##      meat spreads,            
##      pip fruit,               
##      yogurt}                  
## [5] {condensed milk,          
##      long life bakery product,
##      other vegetables,        
##      whole milk}
## abrasive cleaner artif. sweetener   baby cosmetics 
##     0.0035587189     0.0032536858     0.0006100661

## Apriori
## 
## Parameter specification:
##  confidence minval smax arem  aval originalSupport maxtime support minlen
##         0.8    0.1    1 none FALSE            TRUE       5     0.1      1
##  maxlen target   ext
##      10  rules FALSE
## 
## Algorithmic control:
##  filter tree heap memopt load sort verbose
##     0.1 TRUE TRUE  FALSE TRUE    2    TRUE
## 
## Absolute minimum support count: 983 
## 
## set item appearances ...[0 item(s)] done [0.00s].
## set transactions ...[169 item(s), 9835 transaction(s)] done [0.00s].
## sorting and recoding items ... [8 item(s)] done [0.00s].
## creating transaction tree ... done [0.00s].
## checking subsets of size 1 2 done [0.00s].
## writing ... [0 rule(s)] done [0.00s].
## creating S4 object  ... done [0.00s].
## set of 0 rules
## Apriori
## 
## Parameter specification:
##  confidence minval smax arem  aval originalSupport maxtime support minlen
##        0.25    0.1    1 none FALSE            TRUE       5   0.006      2
##  maxlen target   ext
##      10  rules FALSE
## 
## Algorithmic control:
##  filter tree heap memopt load sort verbose
##     0.1 TRUE TRUE  FALSE TRUE    2    TRUE
## 
## Absolute minimum support count: 59 
## 
## set item appearances ...[0 item(s)] done [0.00s].
## set transactions ...[169 item(s), 9835 transaction(s)] done [0.00s].
## sorting and recoding items ... [109 item(s)] done [0.00s].
## creating transaction tree ... done [0.00s].
## checking subsets of size 1 2 3 4 done [0.00s].
## writing ... [463 rule(s)] done [0.00s].
## creating S4 object  ... done [0.00s].
## set of 463 rules
## set of 463 rules
## 
## rule length distribution (lhs + rhs):sizes
##   2   3   4 
## 150 297  16 
## 
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   2.000   2.000   3.000   2.711   3.000   4.000 
## 
## summary of quality measures:
##     support           confidence          lift            count      
##  Min.   :0.006101   Min.   :0.2500   Min.   :0.9932   Min.   : 60.0  
##  1st Qu.:0.007117   1st Qu.:0.2971   1st Qu.:1.6229   1st Qu.: 70.0  
##  Median :0.008744   Median :0.3554   Median :1.9332   Median : 86.0  
##  Mean   :0.011539   Mean   :0.3786   Mean   :2.0351   Mean   :113.5  
##  3rd Qu.:0.012303   3rd Qu.:0.4495   3rd Qu.:2.3565   3rd Qu.:121.0  
##  Max.   :0.074835   Max.   :0.6600   Max.   :3.9565   Max.   :736.0  
## 
## mining info:
##       data ntransactions support confidence
##  groceries          9835   0.006       0.25
##     lhs                rhs               support     confidence lift    
## [1] {potted plants} => {whole milk}      0.006914082 0.4000000  1.565460
## [2] {pasta}         => {whole milk}      0.006100661 0.4054054  1.586614
## [3] {herbs}         => {root vegetables} 0.007015760 0.4312500  3.956477
##     count
## [1] 68   
## [2] 60   
## [3] 69
##     lhs                   rhs                      support confidence     lift count
## [1] {herbs}            => {root vegetables}    0.007015760  0.4312500 3.956477    69
## [2] {berries}          => {whipped/sour cream} 0.009049314  0.2721713 3.796886    89
## [3] {other vegetables,                                                              
##      tropical fruit,                                                                
##      whole milk}       => {root vegetables}    0.007015760  0.4107143 3.768074    69
## [4] {beef,                                                                          
##      other vegetables} => {root vegetables}    0.007930859  0.4020619 3.688692    78
## [5] {other vegetables,                                                              
##      tropical fruit}   => {pip fruit}          0.009456024  0.2634561 3.482649    93
##     lhs          rhs                  support     confidence lift    
## [1] {berries} => {whipped/sour cream} 0.009049314 0.2721713  3.796886
## [2] {berries} => {yogurt}             0.010574479 0.3180428  2.279848
## [3] {berries} => {other vegetables}   0.010269446 0.3088685  1.596280
## [4] {berries} => {whole milk}         0.011794611 0.3547401  1.388328
##     count
## [1]  89  
## [2] 104  
## [3] 101  
## [4] 116
## 'data.frame':    463 obs. of  5 variables:
##  $ rules     : Factor w/ 463 levels "{baking powder} => {other vegetables}",..: 340 302 207 206 208 341 402 21 139 140 ...
##  $ support   : num  0.00691 0.0061 0.00702 0.00773 0.00773 ...
##  $ confidence: num  0.4 0.405 0.431 0.475 0.475 ...
##  $ lift      : num  1.57 1.59 3.96 2.45 1.86 ...
##  $ count     : num  68 60 69 76 76 69 70 67 63 88 ...