library(rattle)
## Rattle: A free graphical interface for data mining with R.
## Version 4.1.0 Copyright (c) 2006-2015 Togaware Pty Ltd.
## Type 'rattle()' to shake, rattle, and roll your data.
#rattle()
#install.packages("arulesViz")
library(arulesViz)
## Loading required package: arules
## Loading required package: Matrix
## 
## Attaching package: 'arules'
## The following objects are masked from 'package:base':
## 
##     abbreviate, write
## Loading required package: grid
## Warning: failed to assign NativeSymbolInfo for lhs since lhs is already
## defined in the 'lazyeval' namespace
## Warning: failed to assign NativeSymbolInfo for rhs since rhs is already
## defined in the 'lazyeval' namespace
data(Groceries)
str(Groceries)
## Formal class 'transactions' [package "arules"] with 3 slots
##   ..@ data       :Formal class 'ngCMatrix' [package "Matrix"] with 5 slots
##   .. .. ..@ i       : int [1:43367] 13 60 69 78 14 29 98 24 15 29 ...
##   .. .. ..@ p       : int [1:9836] 0 4 7 8 12 16 21 22 27 28 ...
##   .. .. ..@ Dim     : int [1:2] 169 9835
##   .. .. ..@ Dimnames:List of 2
##   .. .. .. ..$ : NULL
##   .. .. .. ..$ : NULL
##   .. .. ..@ factors : list()
##   ..@ itemInfo   :'data.frame':  169 obs. of  3 variables:
##   .. ..$ labels: chr [1:169] "frankfurter" "sausage" "liver loaf" "ham" ...
##   .. ..$ level2: Factor w/ 55 levels "baby food","bags",..: 44 44 44 44 44 44 44 42 42 41 ...
##   .. ..$ level1: Factor w/ 10 levels "canned food",..: 6 6 6 6 6 6 6 6 6 6 ...
##   ..@ itemsetInfo:'data.frame':  0 obs. of  0 variables
summary(Groceries)
## 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  level2           level1
## 1 frankfurter sausage meat and sausage
## 2     sausage sausage meat and sausage
## 3  liver loaf sausage meat and sausage
itemFrequencyPlot(Groceries,topN=20,type="absolute")

rules <- apriori(Groceries, parameter=list(support=0.01, confidence=0.5))
## Apriori
## 
## Parameter specification:
##  confidence minval smax arem  aval originalSupport maxtime support minlen
##         0.5    0.1    1 none FALSE            TRUE       5    0.01      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: 98 
## 
## set item appearances ...[0 item(s)] done [0.00s].
## set transactions ...[169 item(s), 9835 transaction(s)] done [0.00s].
## sorting and recoding items ... [88 item(s)] done [0.00s].
## creating transaction tree ... done [0.00s].
## checking subsets of size 1 2 3 4 done [0.00s].
## writing ... [15 rule(s)] done [0.00s].
## creating S4 object  ... done [0.00s].
summary(rules)
## set of 15 rules
## 
## rule length distribution (lhs + rhs):sizes
##  3 
## 15 
## 
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##       3       3       3       3       3       3 
## 
## summary of quality measures:
##     support          confidence          lift      
##  Min.   :0.01007   Min.   :0.5000   Min.   :1.984  
##  1st Qu.:0.01174   1st Qu.:0.5151   1st Qu.:2.036  
##  Median :0.01230   Median :0.5245   Median :2.203  
##  Mean   :0.01316   Mean   :0.5411   Mean   :2.299  
##  3rd Qu.:0.01403   3rd Qu.:0.5718   3rd Qu.:2.432  
##  Max.   :0.02227   Max.   :0.5862   Max.   :3.030  
## 
## mining info:
##       data ntransactions support confidence
##  Groceries          9835    0.01        0.5
inspect(head(sort(rules, by ="lift"),10))
##      lhs                     rhs                   support confidence     lift
## [1]  {citrus fruit,                                                           
##       root vegetables}    => {other vegetables} 0.01037112  0.5862069 3.029608
## [2]  {tropical fruit,                                                         
##       root vegetables}    => {other vegetables} 0.01230300  0.5845411 3.020999
## [3]  {root vegetables,                                                        
##       rolls/buns}         => {other vegetables} 0.01220132  0.5020921 2.594890
## [4]  {root vegetables,                                                        
##       yogurt}             => {other vegetables} 0.01291307  0.5000000 2.584078
## [5]  {curd,                                                                   
##       yogurt}             => {whole milk}       0.01006609  0.5823529 2.279125
## [6]  {other vegetables,                                                       
##       butter}             => {whole milk}       0.01148958  0.5736041 2.244885
## [7]  {tropical fruit,                                                         
##       root vegetables}    => {whole milk}       0.01199797  0.5700483 2.230969
## [8]  {root vegetables,                                                        
##       yogurt}             => {whole milk}       0.01453991  0.5629921 2.203354
## [9]  {other vegetables,                                                       
##       domestic eggs}      => {whole milk}       0.01230300  0.5525114 2.162336
## [10] {yogurt,                                                                 
##       whipped/sour cream} => {whole milk}       0.01087951  0.5245098 2.052747
plot(rules, method="graph")

library(arulesViz)
data(Groceries)
summary(Groceries)
## 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  level2           level1
## 1 frankfurter sausage meat and sausage
## 2     sausage sausage meat and sausage
## 3  liver loaf sausage meat and sausage
rules <- apriori(Groceries, parameter=list(support=0.01, confidence=0.5))
## Apriori
## 
## Parameter specification:
##  confidence minval smax arem  aval originalSupport maxtime support minlen
##         0.5    0.1    1 none FALSE            TRUE       5    0.01      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: 98 
## 
## set item appearances ...[0 item(s)] done [0.00s].
## set transactions ...[169 item(s), 9835 transaction(s)] done [0.00s].
## sorting and recoding items ... [88 item(s)] done [0.00s].
## creating transaction tree ... done [0.00s].
## checking subsets of size 1 2 3 4 done [0.00s].
## writing ... [15 rule(s)] done [0.00s].
## creating S4 object  ... done [0.00s].
summary(rules)
## set of 15 rules
## 
## rule length distribution (lhs + rhs):sizes
##  3 
## 15 
## 
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##       3       3       3       3       3       3 
## 
## summary of quality measures:
##     support          confidence          lift      
##  Min.   :0.01007   Min.   :0.5000   Min.   :1.984  
##  1st Qu.:0.01174   1st Qu.:0.5151   1st Qu.:2.036  
##  Median :0.01230   Median :0.5245   Median :2.203  
##  Mean   :0.01316   Mean   :0.5411   Mean   :2.299  
##  3rd Qu.:0.01403   3rd Qu.:0.5718   3rd Qu.:2.432  
##  Max.   :0.02227   Max.   :0.5862   Max.   :3.030  
## 
## mining info:
##       data ntransactions support confidence
##  Groceries          9835    0.01        0.5
inspect(head(sort(rules, by ="lift"),10))
##      lhs                     rhs                   support confidence     lift
## [1]  {citrus fruit,                                                           
##       root vegetables}    => {other vegetables} 0.01037112  0.5862069 3.029608
## [2]  {tropical fruit,                                                         
##       root vegetables}    => {other vegetables} 0.01230300  0.5845411 3.020999
## [3]  {root vegetables,                                                        
##       rolls/buns}         => {other vegetables} 0.01220132  0.5020921 2.594890
## [4]  {root vegetables,                                                        
##       yogurt}             => {other vegetables} 0.01291307  0.5000000 2.584078
## [5]  {curd,                                                                   
##       yogurt}             => {whole milk}       0.01006609  0.5823529 2.279125
## [6]  {other vegetables,                                                       
##       butter}             => {whole milk}       0.01148958  0.5736041 2.244885
## [7]  {tropical fruit,                                                         
##       root vegetables}    => {whole milk}       0.01199797  0.5700483 2.230969
## [8]  {root vegetables,                                                        
##       yogurt}             => {whole milk}       0.01453991  0.5629921 2.203354
## [9]  {other vegetables,                                                       
##       domestic eggs}      => {whole milk}       0.01230300  0.5525114 2.162336
## [10] {yogurt,                                                                 
##       whipped/sour cream} => {whole milk}       0.01087951  0.5245098 2.052747
plot(rules[1:5],method="graph",interactive = F)

plot(rules[1:15],method="graph",interactive = T)
itemFrequencyPlot(Groceries,topN=20,type="absolute")

#http://fimi.ua.ac.be/data/retail.pdf

library(arules)
a=read.transactions("http://fimi.ua.ac.be/data/retail.dat")
itemFrequencyPlot(a,topN=20,type="absolute")

basket_rules <- apriori(a,parameter = list(sup = 0.01, conf = 0.01,target="rules"))
## Apriori
## 
## Parameter specification:
##  confidence minval smax arem  aval originalSupport maxtime support minlen
##        0.01    0.1    1 none FALSE            TRUE       5    0.01      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: 881 
## 
## set item appearances ...[0 item(s)] done [0.00s].
## set transactions ...[16470 item(s), 88162 transaction(s)] done [0.31s].
## sorting and recoding items ... [70 item(s)] done [0.03s].
## creating transaction tree ... done [0.18s].
## checking subsets of size 1 2 3 4 done [0.02s].
## writing ... [285 rule(s)] done [0.00s].
## creating S4 object  ... done [0.03s].
inspect(basket_rules)[1:10,]
##       lhs            rhs     support    confidence lift     
## [1]   {}          => {242}   0.01033325 0.01033325 1.0000000
## [2]   {}          => {45}    0.01033325 0.01033325 1.0000000
## [3]   {}          => {37}    0.01218212 0.01218212 1.0000000
## [4]   {}          => {161}   0.01145618 0.01145618 1.0000000
## [5]   {}          => {286}   0.01341848 0.01341848 1.0000000
## [6]   {}          => {175}   0.01100247 0.01100247 1.0000000
## [7]   {}          => {264}   0.01015177 0.01015177 1.0000000
## [8]   {}          => {2958}  0.01025385 0.01025385 1.0000000
## [9]   {}          => {13041} 0.01192124 0.01192124 1.0000000
## [10]  {}          => {31}    0.01043533 0.01043533 1.0000000
## [11]  {}          => {740}   0.01339579 0.01339579 1.0000000
## [12]  {}          => {956}   0.01033325 0.01033325 1.0000000
## [13]  {}          => {16217} 0.01322565 0.01322565 1.0000000
## [14]  {}          => {15832} 0.01296477 0.01296477 1.0000000
## [15]  {}          => {479}   0.01050339 0.01050339 1.0000000
## [16]  {}          => {78}    0.01202332 0.01202332 1.0000000
## [17]  {}          => {522}   0.01104784 0.01104784 1.0000000
## [18]  {}          => {258}   0.01119530 0.01119530 1.0000000
## [19]  {}          => {19}    0.01139947 0.01139947 1.0000000
## [20]  {}          => {179}   0.01132007 0.01132007 1.0000000
## [21]  {}          => {10515} 0.01000431 0.01000431 1.0000000
## [22]  {}          => {3270}  0.01077562 0.01077562 1.0000000
## [23]  {}          => {49}    0.01270389 0.01270389 1.0000000
## [24]  {}          => {589}   0.01269254 0.01269254 1.0000000
## [25]  {}          => {677}   0.01259046 0.01259046 1.0000000
## [26]  {}          => {16010} 0.01492707 0.01492707 1.0000000
## [27]  {}          => {1004}  0.01249972 0.01249972 1.0000000
## [28]  {}          => {783}   0.01094576 0.01094576 1.0000000
## [29]  {}          => {12925} 0.01663982 0.01663982 1.0000000
## [30]  {}          => {824}   0.01372473 0.01372473 1.0000000
## [31]  {}          => {548}   0.01289671 0.01289671 1.0000000
## [32]  {}          => {1146}  0.01617477 0.01617477 1.0000000
## [33]  {}          => {117}   0.01163767 0.01163767 1.0000000
## [34]  {}          => {592}   0.01391756 0.01391756 1.0000000
## [35]  {}          => {1393}  0.01316894 0.01316894 1.0000000
## [36]  {}          => {249}   0.01315760 0.01315760 1.0000000
## [37]  {}          => {338}   0.01445067 0.01445067 1.0000000
## [38]  {}          => {123}   0.01476827 0.01476827 1.0000000
## [39]  {}          => {604}   0.01371339 0.01371339 1.0000000
## [40]  {}          => {301}   0.01365668 0.01365668 1.0000000
## [41]  {}          => {14098} 0.01464350 0.01464350 1.0000000
## [42]  {}          => {79}    0.01814841 0.01814841 1.0000000
## [43]  {}          => {201}   0.01285134 0.01285134 1.0000000
## [44]  {}          => {1327}  0.02025816 0.02025816 1.0000000
## [45]  {}          => {438}   0.02113155 0.02113155 1.0000000
## [46]  {}          => {60}    0.01688936 0.01688936 1.0000000
## [47]  {}          => {255}   0.01671922 0.01671922 1.0000000
## [48]  {}          => {533}   0.01686668 0.01686668 1.0000000
## [49]  {}          => {185}   0.01560763 0.01560763 1.0000000
## [50]  {}          => {270}   0.01966834 0.01966834 1.0000000
## [51]  {}          => {9}     0.01556226 0.01556226 1.0000000
## [52]  {}          => {2238}  0.01945283 0.01945283 1.0000000
## [53]  {}          => {110}   0.03169166 0.03169166 1.0000000
## [54]  {}          => {147}   0.02017876 0.02017876 1.0000000
## [55]  {}          => {271}   0.02375173 0.02375173 1.0000000
## [56]  {}          => {413}   0.02132438 0.02132438 1.0000000
## [57]  {}          => {36}    0.03330233 0.03330233 1.0000000
## [58]  {}          => {475}   0.02457975 0.02457975 1.0000000
## [59]  {}          => {170}   0.03515120 0.03515120 1.0000000
## [60]  {}          => {101}   0.02537374 0.02537374 1.0000000
## [61]  {}          => {310}   0.02942311 0.02942311 1.0000000
## [62]  {}          => {237}   0.03439123 0.03439123 1.0000000
## [63]  {}          => {225}   0.03694335 0.03694335 1.0000000
## [64]  {}          => {89}    0.04352215 0.04352215 1.0000000
## [65]  {}          => {65}    0.05072480 0.05072480 1.0000000
## [66]  {}          => {38}    0.17690161 0.17690161 1.0000000
## [67]  {}          => {32}    0.17203557 0.17203557 1.0000000
## [68]  {}          => {41}    0.16951748 0.16951748 1.0000000
## [69]  {}          => {48}    0.47792700 0.47792700 1.0000000
## [70]  {}          => {39}    0.57479413 0.57479413 1.0000000
## [71]  {37}        => {38}    0.01186452 0.97392924 5.5054853
## [72]  {38}        => {37}    0.01186452 0.06706848 5.5054853
## [73]  {286}       => {38}    0.01265852 0.94336433 5.3327062
## [74]  {38}        => {286}   0.01265852 0.07155681 5.3327062
## [75]  {12925}     => {39}    0.01063950 0.63940014 1.1123985
## [76]  {39}        => {12925} 0.01063950 0.01851011 1.1123985
## [77]  {1146}      => {39}    0.01114993 0.68934081 1.1992830
## [78]  {39}        => {1146}  0.01114993 0.01939813 1.1992830
## [79]  {79}        => {48}    0.01012908 0.55812500 1.1678039
## [80]  {48}        => {79}    0.01012908 0.02119378 1.1678039
## [81]  {79}        => {39}    0.01260180 0.69437500 1.2080412
## [82]  {39}        => {79}    0.01260180 0.02192403 1.2080412
## [83]  {1327}      => {48}    0.01097979 0.54199328 1.1340504
## [84]  {48}        => {1327}  0.01097979 0.02297377 1.1340504
## [85]  {1327}      => {39}    0.01311223 0.64725644 1.1260665
## [86]  {39}        => {1327}  0.01311223 0.02281204 1.1260665
## [87]  {438}       => {48}    0.01162632 0.55018787 1.1511965
## [88]  {48}        => {438}   0.01162632 0.02432657 1.1511965
## [89]  {438}       => {39}    0.01429187 0.67632850 1.1766448
## [90]  {39}        => {438}   0.01429187 0.02486433 1.1766448
## [91]  {60}        => {39}    0.01114993 0.66017461 1.1485410
## [92]  {39}        => {60}    0.01114993 0.01939813 1.1485410
## [93]  {255}       => {48}    0.01198929 0.71709634 1.5004307
## [94]  {48}        => {255}   0.01198929 0.02508603 1.5004307
## [95]  {255}       => {39}    0.01198929 0.71709634 1.2475707
## [96]  {39}        => {255}   0.01198929 0.02085841 1.2475707
## [97]  {533}       => {39}    0.01045802 0.62004035 1.0787173
## [98]  {39}        => {533}   0.01045802 0.01819438 1.0787173
## [99]  {270}       => {48}    0.01085502 0.55190311 1.1547854
## [100] {48}        => {270}   0.01085502 0.02271271 1.1547854
## [101] {270}       => {39}    0.01354325 0.68858131 1.1979616
## [102] {39}        => {270}   0.01354325 0.02356191 1.1979616
## [103] {2238}      => {48}    0.01083233 0.55685131 1.1651388
## [104] {48}        => {2238}  0.01083233 0.02266524 1.1651388
## [105] {2238}      => {39}    0.01459813 0.75043732 1.3055758
## [106] {39}        => {2238}  0.01459813 0.02539714 1.3055758
## [107] {110}       => {38}    0.03090901 0.97530422 5.5132579
## [108] {38}        => {110}   0.03090901 0.17472429 5.5132579
## [109] {110}       => {48}    0.01565300 0.49391553 1.0334539
## [110] {48}        => {110}   0.01565300 0.03275187 1.0334539
## [111] {110}       => {39}    0.01995191 0.62956335 1.0952849
## [112] {39}        => {110}   0.01995191 0.03471140 1.0952849
## [113] {147}       => {48}    0.01175109 0.58234963 1.2184908
## [114] {48}        => {147}   0.01175109 0.02458763 1.2184908
## [115] {147}       => {39}    0.01289671 0.63912310 1.1119165
## [116] {39}        => {147}   0.01289671 0.02243710 1.1119165
## [117] {271}       => {48}    0.01236360 0.52053486 1.0891514
## [118] {48}        => {271}   0.01236360 0.02586923 1.0891514
## [119] {271}       => {39}    0.01626551 0.68481375 1.1914070
## [120] {39}        => {271}   0.01626551 0.02829798 1.1914070
## [121] {413}       => {48}    0.01287403 0.60372340 1.2632126
## [122] {48}        => {413}   0.01287403 0.02693723 1.2632126
## [123] {413}       => {39}    0.01281731 0.60106383 1.0457028
## [124] {39}        => {413}   0.01281731 0.02229896 1.0457028
## [125] {36}        => {38}    0.03164629 0.95027248 5.3717570
## [126] {38}        => {36}    0.03164629 0.17889202 5.3717570
## [127] {36}        => {48}    0.01606134 0.48228883 1.0091266
## [128] {48}        => {36}    0.01606134 0.03360627 1.0091266
## [129] {36}        => {39}    0.02310519 0.69380109 1.2070428
## [130] {39}        => {36}    0.02310519 0.04019734 1.2070428
## [131] {475}       => {48}    0.01619745 0.65897554 1.3788205
## [132] {48}        => {475}   0.01619745 0.03389106 1.3788205
## [133] {475}       => {39}    0.01701413 0.69220120 1.2042593
## [134] {39}        => {475}   0.01701413 0.02960039 1.2042593
## [135] {170}       => {38}    0.03437989 0.97805744 5.5288215
## [136] {38}        => {170}   0.03437989 0.19434470 5.5288215
## [137] {170}       => {48}    0.01766067 0.50242014 1.0512487
## [138] {48}        => {170}   0.01766067 0.03695265 1.0512487
## [139] {170}       => {39}    0.02335473 0.66440787 1.1559058
## [140] {39}        => {170}   0.02335473 0.04063148 1.1559058
## [141] {101}       => {48}    0.01487035 0.58605275 1.2262391
## [142] {48}        => {101}   0.01487035 0.03111428 1.2262391
## [143] {101}       => {39}    0.01587986 0.62583818 1.0888041
## [144] {39}        => {101}   0.01587986 0.02762704 1.0888041
## [145] {310}       => {48}    0.01919194 0.65227448 1.3647994
## [146] {48}        => {310}   0.01919194 0.04015664 1.3647994
## [147] {310}       => {39}    0.02100678 0.71395528 1.2421061
## [148] {39}        => {310}   0.02100678 0.03654662 1.2421061
## [149] {237}       => {48}    0.01907851 0.55474934 1.1607407
## [150] {48}        => {237}   0.01907851 0.03991931 1.1607407
## [151] {237}       => {39}    0.02188018 0.63621372 1.1068549
## [152] {39}        => {237}   0.02188018 0.03806611 1.1068549
## [153] {225}       => {48}    0.01969102 0.53300583 1.1152453
## [154] {48}        => {225}   0.01969102 0.04120090 1.1152453
## [155] {225}       => {39}    0.02666682 0.72182990 1.2558060
## [156] {39}        => {225}   0.02666682 0.04639369 1.2558060
## [157] {89}        => {48}    0.03173703 0.72921553 1.5257885
## [158] {48}        => {89}    0.03173703 0.06640560 1.5257885
## [159] {89}        => {39}    0.03118123 0.71644514 1.2464378
## [160] {39}        => {89}    0.03118123 0.05424766 1.2464378
## [161] {65}        => {41}    0.01128604 0.22249553 1.3125226
## [162] {41}        => {65}    0.01128604 0.06657745 1.3125226
## [163] {65}        => {48}    0.02868583 0.56551878 1.1832744
## [164] {48}        => {65}    0.02868583 0.06002136 1.1832744
## [165] {65}        => {39}    0.03161226 0.62321109 1.0842336
## [166] {39}        => {65}    0.03161226 0.05499753 1.0842336
## [167] {38}        => {32}    0.03213403 0.18164914 1.0558813
## [168] {32}        => {38}    0.03213403 0.18678710 1.0558813
## [169] {38}        => {41}    0.04420272 0.24987176 1.4740177
## [170] {41}        => {38}    0.04420272 0.26075611 1.4740177
## [171] {38}        => {48}    0.09010685 0.50936137 1.0657723
## [172] {48}        => {38}    0.09010685 0.18853685 1.0657723
## [173] {38}        => {39}    0.11734080 0.66331111 1.1539977
## [174] {39}        => {38}    0.11734080 0.20414406 1.1539977
## [175] {32}        => {41}    0.03625145 0.21072064 1.2430615
## [176] {41}        => {32}    0.03625145 0.21385079 1.2430615
## [177] {32}        => {48}    0.09112770 0.52970264 1.1083338
## [178] {48}        => {32}    0.09112770 0.19067284 1.1083338
## [179] {32}        => {39}    0.09590300 0.55746028 0.9698434
## [180] {39}        => {32}    0.09590300 0.16684756 0.9698434
## [181] {41}        => {48}    0.10228897 0.60341251 1.2625621
## [182] {48}        => {41}    0.10228897 0.21402634 1.2625621
## [183] {41}        => {39}    0.12946621 0.76373369 1.3287082
## [184] {39}        => {41}    0.12946621 0.22523927 1.3287082
## [185] {48}        => {39}    0.33055058 0.69163403 1.2032726
## [186] {39}        => {48}    0.33055058 0.57507647 1.2032726
## [187] {110,38}    => {48}    0.01543749 0.49944954 1.0450331
## [188] {110,48}    => {38}    0.01543749 0.98623188 5.5750305
## [189] {38,48}     => {110}   0.01543749 0.17132427 5.4059736
## [190] {110,38}    => {39}    0.01973639 0.63853211 1.1108884
## [191] {110,39}    => {38}    0.01973639 0.98919841 5.5917998
## [192] {38,39}     => {110}   0.01973639 0.16819720 5.3073018
## [193] {110,48}    => {39}    0.01176244 0.75144928 1.3073364
## [194] {110,39}    => {48}    0.01176244 0.58953951 1.2335346
## [195] {39,48}     => {110}   0.01176244 0.03558438 1.1228311
## [196] {36,38}     => {48}    0.01542615 0.48745520 1.0199365
## [197] {36,48}     => {38}    0.01542615 0.96045198 5.4293003
## [198] {38,48}     => {36}    0.01542615 0.17119839 5.1407331
## [199] {36,38}     => {39}    0.02206166 0.69713262 1.2128388
## [200] {36,39}     => {38}    0.02206166 0.95483554 5.3975514
## [201] {38,39}     => {36}    0.02206166 0.18801353 5.6456571
## [202] {36,48}     => {39}    0.01265852 0.78813559 1.3711615
## [203] {36,39}     => {48}    0.01265852 0.54786451 1.1463351
## [204] {39,48}     => {36}    0.01265852 0.03829524 1.1499269
## [205] {475,48}    => {39}    0.01238629 0.76470588 1.3303996
## [206] {39,475}    => {48}    0.01238629 0.72800000 1.5232452
## [207] {39,48}     => {475}   0.01238629 0.03747169 1.5244943
## [208] {170,38}    => {48}    0.01744516 0.50742329 1.0617172
## [209] {170,48}    => {38}    0.01744516 0.98779705 5.5838781
## [210] {38,48}     => {170}   0.01744516 0.19360524 5.5077847
## [211] {170,38}    => {39}    0.02290102 0.66611679 1.1588789
## [212] {170,39}    => {38}    0.02290102 0.98057309 5.5430421
## [213] {38,39}     => {170}   0.02290102 0.19516675 5.5522074
## [214] {170,48}    => {39}    0.01367936 0.77456647 1.3475546
## [215] {170,39}    => {48}    0.01367936 0.58572122 1.2255454
## [216] {39,48}     => {170}   0.01367936 0.04138357 1.1773018
## [217] {101,48}    => {39}    0.01073025 0.72158658 1.2553826
## [218] {101,39}    => {48}    0.01073025 0.67571429 1.4138441
## [219] {39,48}     => {101}   0.01073025 0.03246174 1.2793437
## [220] {310,48}    => {39}    0.01527869 0.79609929 1.3850164
## [221] {310,39}    => {48}    0.01527869 0.72732181 1.5218262
## [222] {39,48}     => {310}   0.01527869 0.04622195 1.5709404
## [223] {237,48}    => {39}    0.01411039 0.73959572 1.2867141
## [224] {237,39}    => {48}    0.01411039 0.64489373 1.3493561
## [225] {39,48}     => {237}   0.01411039 0.04268753 1.2412329
## [226] {225,48}    => {39}    0.01587986 0.80645161 1.4030269
## [227] {225,39}    => {48}    0.01587986 0.59549128 1.2459879
## [228] {39,48}     => {225}   0.01587986 0.04804063 1.3003862
## [229] {48,89}     => {39}    0.02410336 0.75947105 1.3212923
## [230] {39,89}     => {48}    0.02410336 0.77300837 1.6174193
## [231] {39,48}     => {89}    0.02410336 0.07291881 1.6754413
## [232] {48,65}     => {39}    0.02038293 0.71055753 1.2361948
## [233] {39,65}     => {48}    0.02038293 0.64477933 1.3491168
## [234] {39,48}     => {65}    0.02038293 0.06166358 1.2156495
## [235] {32,38}     => {48}    0.01867018 0.58100953 1.2156868
## [236] {38,48}     => {32}    0.01867018 0.20720040 1.2044044
## [237] {32,48}     => {38}    0.01867018 0.20487926 1.1581537
## [238] {32,38}     => {39}    0.02087067 0.64948818 1.1299492
## [239] {38,39}     => {32}    0.02087067 0.17786370 1.0338775
## [240] {32,39}     => {38}    0.02087067 0.21762271 1.2301906
## [241] {38,41}     => {48}    0.02692770 0.60918655 1.2746435
## [242] {38,48}     => {41}    0.02692770 0.29884189 1.7628972
## [243] {41,48}     => {38}    0.02692770 0.26325128 1.4881225
## [244] {38,41}     => {39}    0.03460675 0.78290993 1.3620702
## [245] {38,39}     => {41}    0.03460675 0.29492508 1.7397916
## [246] {39,41}     => {38}    0.03460675 0.26730331 1.5110281
## [247] {38,48}     => {39}    0.06921349 0.76812689 1.3363513
## [248] {38,39}     => {48}    0.06921349 0.58985017 1.2341847
## [249] {39,48}     => {38}    0.06921349 0.20938851 1.1836439
## [250] {32,41}     => {48}    0.02340010 0.64549437 1.3506129
## [251] {32,48}     => {41}    0.02340010 0.25678367 1.5147917
## [252] {41,48}     => {32}    0.02340010 0.22876469 1.3297523
## [253] {32,41}     => {39}    0.02675756 0.73811014 1.2841296
## [254] {32,39}     => {41}    0.02675756 0.27900651 1.6458863
## [255] {39,41}     => {32}    0.02675756 0.20667601 1.2013563
## [256] {32,48}     => {39}    0.06127356 0.67239233 1.1697968
## [257] {32,39}     => {48}    0.06127356 0.63891189 1.3368399
## [258] {39,48}     => {32}    0.06127356 0.18536820 1.0774992
## [259] {41,48}     => {39}    0.08355074 0.81681082 1.4210493
## [260] {39,41}     => {48}    0.08355074 0.64534782 1.3503063
## [261] {39,48}     => {41}    0.08355074 0.25276234 1.4910695
## [262] {110,38,48} => {39}    0.01169438 0.75753123 1.3179175
## [263] {110,38,39} => {48}    0.01169438 0.59252874 1.2397892
## [264] {110,39,48} => {38}    0.01169438 0.99421408 5.6201527
## [265] {38,39,48}  => {110}   0.01169438 0.16896100 5.3314028
## [266] {36,38,48}  => {39}    0.01225018 0.79411765 1.3815688
## [267] {36,38,39}  => {48}    0.01225018 0.55526992 1.1618300
## [268] {36,39,48}  => {38}    0.01225018 0.96774194 5.4705094
## [269] {38,39,48}  => {36}    0.01225018 0.17699115 5.3146777
## [270] {170,38,48} => {39}    0.01353191 0.77568270 1.3494966
## [271] {170,38,39} => {48}    0.01353191 0.59088658 1.2363532
## [272] {170,39,48} => {38}    0.01353191 0.98922056 5.5919251
## [273] {38,39,48}  => {170}   0.01353191 0.19550967 5.5619630
## [274] {32,38,48}  => {39}    0.01401965 0.75091130 1.3064004
## [275] {32,38,39}  => {48}    0.01401965 0.67173913 1.4055266
## [276] {38,39,48}  => {32}    0.01401965 0.20255654 1.1774108
## [277] {32,39,48}  => {38}    0.01401965 0.22880415 1.2933977
## [278] {38,41,48}  => {39}    0.02258343 0.83866891 1.4590770
## [279] {38,39,41}  => {48}    0.02258343 0.65257293 1.3654239
## [280] {38,39,48}  => {41}    0.02258343 0.32628646 1.9247954
## [281] {39,41,48}  => {38}    0.02258343 0.27029595 1.5279451
## [282] {32,41,48}  => {39}    0.01867018 0.79786718 1.3880921
## [283] {32,39,41}  => {48}    0.01867018 0.69775329 1.4599579
## [284] {32,39,48}  => {41}    0.01867018 0.30470196 1.7974663
## [285] {39,41,48}  => {32}    0.01867018 0.22345914 1.2989124
##      lhs        rhs    support confidence lift
## [1]   {} =>   {242} 0.01033325 0.01033325    1
## [2]   {} =>    {45} 0.01033325 0.01033325    1
## [3]   {} =>    {37} 0.01218212 0.01218212    1
## [4]   {} =>   {161} 0.01145618 0.01145618    1
## [5]   {} =>   {286} 0.01341848 0.01341848    1
## [6]   {} =>   {175} 0.01100247 0.01100247    1
## [7]   {} =>   {264} 0.01015177 0.01015177    1
## [8]   {} =>  {2958} 0.01025385 0.01025385    1
## [9]   {} => {13041} 0.01192124 0.01192124    1
## [10]  {} =>    {31} 0.01043533 0.01043533    1
basket_rules<- sort(basket_rules, by="lift")
library(arulesViz)
plot(basket_rules[1:10,])

plot(basket_rules[1:10,], method="graph", control=list(type="items"))

inspect(basket_rules)[1:10,]
##       lhs            rhs     support    confidence lift     
## [1]   {38,39}     => {36}    0.02206166 0.18801353 5.6456571
## [2]   {110,39,48} => {38}    0.01169438 0.99421408 5.6201527
## [3]   {170,39,48} => {38}    0.01353191 0.98922056 5.5919251
## [4]   {110,39}    => {38}    0.01973639 0.98919841 5.5917998
## [5]   {170,48}    => {38}    0.01744516 0.98779705 5.5838781
## [6]   {110,48}    => {38}    0.01543749 0.98623188 5.5750305
## [7]   {38,39,48}  => {170}   0.01353191 0.19550967 5.5619630
## [8]   {38,39}     => {170}   0.02290102 0.19516675 5.5522074
## [9]   {170,39}    => {38}    0.02290102 0.98057309 5.5430421
## [10]  {170}       => {38}    0.03437989 0.97805744 5.5288215
## [11]  {38}        => {170}   0.03437989 0.19434470 5.5288215
## [12]  {110}       => {38}    0.03090901 0.97530422 5.5132579
## [13]  {38}        => {110}   0.03090901 0.17472429 5.5132579
## [14]  {38,48}     => {170}   0.01744516 0.19360524 5.5077847
## [15]  {37}        => {38}    0.01186452 0.97392924 5.5054853
## [16]  {38}        => {37}    0.01186452 0.06706848 5.5054853
## [17]  {36,39,48}  => {38}    0.01225018 0.96774194 5.4705094
## [18]  {36,48}     => {38}    0.01542615 0.96045198 5.4293003
## [19]  {38,48}     => {110}   0.01543749 0.17132427 5.4059736
## [20]  {36,39}     => {38}    0.02206166 0.95483554 5.3975514
## [21]  {36}        => {38}    0.03164629 0.95027248 5.3717570
## [22]  {38}        => {36}    0.03164629 0.17889202 5.3717570
## [23]  {286}       => {38}    0.01265852 0.94336433 5.3327062
## [24]  {38}        => {286}   0.01265852 0.07155681 5.3327062
## [25]  {38,39,48}  => {110}   0.01169438 0.16896100 5.3314028
## [26]  {38,39,48}  => {36}    0.01225018 0.17699115 5.3146777
## [27]  {38,39}     => {110}   0.01973639 0.16819720 5.3073018
## [28]  {38,48}     => {36}    0.01542615 0.17119839 5.1407331
## [29]  {38,39,48}  => {41}    0.02258343 0.32628646 1.9247954
## [30]  {32,39,48}  => {41}    0.01867018 0.30470196 1.7974663
## [31]  {38,48}     => {41}    0.02692770 0.29884189 1.7628972
## [32]  {38,39}     => {41}    0.03460675 0.29492508 1.7397916
## [33]  {39,48}     => {89}    0.02410336 0.07291881 1.6754413
## [34]  {32,39}     => {41}    0.02675756 0.27900651 1.6458863
## [35]  {39,89}     => {48}    0.02410336 0.77300837 1.6174193
## [36]  {39,48}     => {310}   0.01527869 0.04622195 1.5709404
## [37]  {39,41,48}  => {38}    0.02258343 0.27029595 1.5279451
## [38]  {89}        => {48}    0.03173703 0.72921553 1.5257885
## [39]  {48}        => {89}    0.03173703 0.06640560 1.5257885
## [40]  {39,48}     => {475}   0.01238629 0.03747169 1.5244943
## [41]  {39,475}    => {48}    0.01238629 0.72800000 1.5232452
## [42]  {310,39}    => {48}    0.01527869 0.72732181 1.5218262
## [43]  {32,48}     => {41}    0.02340010 0.25678367 1.5147917
## [44]  {39,41}     => {38}    0.03460675 0.26730331 1.5110281
## [45]  {255}       => {48}    0.01198929 0.71709634 1.5004307
## [46]  {48}        => {255}   0.01198929 0.02508603 1.5004307
## [47]  {39,48}     => {41}    0.08355074 0.25276234 1.4910695
## [48]  {41,48}     => {38}    0.02692770 0.26325128 1.4881225
## [49]  {38}        => {41}    0.04420272 0.24987176 1.4740177
## [50]  {41}        => {38}    0.04420272 0.26075611 1.4740177
## [51]  {32,39,41}  => {48}    0.01867018 0.69775329 1.4599579
## [52]  {38,41,48}  => {39}    0.02258343 0.83866891 1.4590770
## [53]  {41,48}     => {39}    0.08355074 0.81681082 1.4210493
## [54]  {101,39}    => {48}    0.01073025 0.67571429 1.4138441
## [55]  {32,38,39}  => {48}    0.01401965 0.67173913 1.4055266
## [56]  {225,48}    => {39}    0.01587986 0.80645161 1.4030269
## [57]  {32,41,48}  => {39}    0.01867018 0.79786718 1.3880921
## [58]  {310,48}    => {39}    0.01527869 0.79609929 1.3850164
## [59]  {36,38,48}  => {39}    0.01225018 0.79411765 1.3815688
## [60]  {475}       => {48}    0.01619745 0.65897554 1.3788205
## [61]  {48}        => {475}   0.01619745 0.03389106 1.3788205
## [62]  {36,48}     => {39}    0.01265852 0.78813559 1.3711615
## [63]  {38,39,41}  => {48}    0.02258343 0.65257293 1.3654239
## [64]  {310}       => {48}    0.01919194 0.65227448 1.3647994
## [65]  {48}        => {310}   0.01919194 0.04015664 1.3647994
## [66]  {38,41}     => {39}    0.03460675 0.78290993 1.3620702
## [67]  {32,41}     => {48}    0.02340010 0.64549437 1.3506129
## [68]  {39,41}     => {48}    0.08355074 0.64534782 1.3503063
## [69]  {170,38,48} => {39}    0.01353191 0.77568270 1.3494966
## [70]  {237,39}    => {48}    0.01411039 0.64489373 1.3493561
## [71]  {39,65}     => {48}    0.02038293 0.64477933 1.3491168
## [72]  {170,48}    => {39}    0.01367936 0.77456647 1.3475546
## [73]  {32,39}     => {48}    0.06127356 0.63891189 1.3368399
## [74]  {38,48}     => {39}    0.06921349 0.76812689 1.3363513
## [75]  {475,48}    => {39}    0.01238629 0.76470588 1.3303996
## [76]  {41,48}     => {32}    0.02340010 0.22876469 1.3297523
## [77]  {41}        => {39}    0.12946621 0.76373369 1.3287082
## [78]  {39}        => {41}    0.12946621 0.22523927 1.3287082
## [79]  {48,89}     => {39}    0.02410336 0.75947105 1.3212923
## [80]  {110,38,48} => {39}    0.01169438 0.75753123 1.3179175
## [81]  {65}        => {41}    0.01128604 0.22249553 1.3125226
## [82]  {41}        => {65}    0.01128604 0.06657745 1.3125226
## [83]  {110,48}    => {39}    0.01176244 0.75144928 1.3073364
## [84]  {32,38,48}  => {39}    0.01401965 0.75091130 1.3064004
## [85]  {2238}      => {39}    0.01459813 0.75043732 1.3055758
## [86]  {39}        => {2238}  0.01459813 0.02539714 1.3055758
## [87]  {39,48}     => {225}   0.01587986 0.04804063 1.3003862
## [88]  {39,41,48}  => {32}    0.01867018 0.22345914 1.2989124
## [89]  {32,39,48}  => {38}    0.01401965 0.22880415 1.2933977
## [90]  {237,48}    => {39}    0.01411039 0.73959572 1.2867141
## [91]  {32,41}     => {39}    0.02675756 0.73811014 1.2841296
## [92]  {39,48}     => {101}   0.01073025 0.03246174 1.2793437
## [93]  {38,41}     => {48}    0.02692770 0.60918655 1.2746435
## [94]  {413}       => {48}    0.01287403 0.60372340 1.2632126
## [95]  {48}        => {413}   0.01287403 0.02693723 1.2632126
## [96]  {41}        => {48}    0.10228897 0.60341251 1.2625621
## [97]  {48}        => {41}    0.10228897 0.21402634 1.2625621
## [98]  {225}       => {39}    0.02666682 0.72182990 1.2558060
## [99]  {39}        => {225}   0.02666682 0.04639369 1.2558060
## [100] {101,48}    => {39}    0.01073025 0.72158658 1.2553826
## [101] {255}       => {39}    0.01198929 0.71709634 1.2475707
## [102] {39}        => {255}   0.01198929 0.02085841 1.2475707
## [103] {89}        => {39}    0.03118123 0.71644514 1.2464378
## [104] {39}        => {89}    0.03118123 0.05424766 1.2464378
## [105] {225,39}    => {48}    0.01587986 0.59549128 1.2459879
## [106] {32}        => {41}    0.03625145 0.21072064 1.2430615
## [107] {41}        => {32}    0.03625145 0.21385079 1.2430615
## [108] {310}       => {39}    0.02100678 0.71395528 1.2421061
## [109] {39}        => {310}   0.02100678 0.03654662 1.2421061
## [110] {39,48}     => {237}   0.01411039 0.04268753 1.2412329
## [111] {110,38,39} => {48}    0.01169438 0.59252874 1.2397892
## [112] {170,38,39} => {48}    0.01353191 0.59088658 1.2363532
## [113] {48,65}     => {39}    0.02038293 0.71055753 1.2361948
## [114] {38,39}     => {48}    0.06921349 0.58985017 1.2341847
## [115] {110,39}    => {48}    0.01176244 0.58953951 1.2335346
## [116] {32,39}     => {38}    0.02087067 0.21762271 1.2301906
## [117] {101}       => {48}    0.01487035 0.58605275 1.2262391
## [118] {48}        => {101}   0.01487035 0.03111428 1.2262391
## [119] {170,39}    => {48}    0.01367936 0.58572122 1.2255454
## [120] {147}       => {48}    0.01175109 0.58234963 1.2184908
## [121] {48}        => {147}   0.01175109 0.02458763 1.2184908
## [122] {32,38}     => {48}    0.01867018 0.58100953 1.2156868
## [123] {39,48}     => {65}    0.02038293 0.06166358 1.2156495
## [124] {36,38}     => {39}    0.02206166 0.69713262 1.2128388
## [125] {79}        => {39}    0.01260180 0.69437500 1.2080412
## [126] {39}        => {79}    0.01260180 0.02192403 1.2080412
## [127] {36}        => {39}    0.02310519 0.69380109 1.2070428
## [128] {39}        => {36}    0.02310519 0.04019734 1.2070428
## [129] {38,48}     => {32}    0.01867018 0.20720040 1.2044044
## [130] {475}       => {39}    0.01701413 0.69220120 1.2042593
## [131] {39}        => {475}   0.01701413 0.02960039 1.2042593
## [132] {48}        => {39}    0.33055058 0.69163403 1.2032726
## [133] {39}        => {48}    0.33055058 0.57507647 1.2032726
## [134] {39,41}     => {32}    0.02675756 0.20667601 1.2013563
## [135] {1146}      => {39}    0.01114993 0.68934081 1.1992830
## [136] {39}        => {1146}  0.01114993 0.01939813 1.1992830
## [137] {270}       => {39}    0.01354325 0.68858131 1.1979616
## [138] {39}        => {270}   0.01354325 0.02356191 1.1979616
## [139] {271}       => {39}    0.01626551 0.68481375 1.1914070
## [140] {39}        => {271}   0.01626551 0.02829798 1.1914070
## [141] {39,48}     => {38}    0.06921349 0.20938851 1.1836439
## [142] {65}        => {48}    0.02868583 0.56551878 1.1832744
## [143] {48}        => {65}    0.02868583 0.06002136 1.1832744
## [144] {38,39,48}  => {32}    0.01401965 0.20255654 1.1774108
## [145] {39,48}     => {170}   0.01367936 0.04138357 1.1773018
## [146] {438}       => {39}    0.01429187 0.67632850 1.1766448
## [147] {39}        => {438}   0.01429187 0.02486433 1.1766448
## [148] {32,48}     => {39}    0.06127356 0.67239233 1.1697968
## [149] {79}        => {48}    0.01012908 0.55812500 1.1678039
## [150] {48}        => {79}    0.01012908 0.02119378 1.1678039
## [151] {2238}      => {48}    0.01083233 0.55685131 1.1651388
## [152] {48}        => {2238}  0.01083233 0.02266524 1.1651388
## [153] {36,38,39}  => {48}    0.01225018 0.55526992 1.1618300
## [154] {237}       => {48}    0.01907851 0.55474934 1.1607407
## [155] {48}        => {237}   0.01907851 0.03991931 1.1607407
## [156] {170,38}    => {39}    0.02290102 0.66611679 1.1588789
## [157] {32,48}     => {38}    0.01867018 0.20487926 1.1581537
## [158] {170}       => {39}    0.02335473 0.66440787 1.1559058
## [159] {39}        => {170}   0.02335473 0.04063148 1.1559058
## [160] {270}       => {48}    0.01085502 0.55190311 1.1547854
## [161] {48}        => {270}   0.01085502 0.02271271 1.1547854
## [162] {38}        => {39}    0.11734080 0.66331111 1.1539977
## [163] {39}        => {38}    0.11734080 0.20414406 1.1539977
## [164] {438}       => {48}    0.01162632 0.55018787 1.1511965
## [165] {48}        => {438}   0.01162632 0.02432657 1.1511965
## [166] {39,48}     => {36}    0.01265852 0.03829524 1.1499269
## [167] {60}        => {39}    0.01114993 0.66017461 1.1485410
## [168] {39}        => {60}    0.01114993 0.01939813 1.1485410
## [169] {36,39}     => {48}    0.01265852 0.54786451 1.1463351
## [170] {1327}      => {48}    0.01097979 0.54199328 1.1340504
## [171] {48}        => {1327}  0.01097979 0.02297377 1.1340504
## [172] {32,38}     => {39}    0.02087067 0.64948818 1.1299492
## [173] {1327}      => {39}    0.01311223 0.64725644 1.1260665
## [174] {39}        => {1327}  0.01311223 0.02281204 1.1260665
## [175] {39,48}     => {110}   0.01176244 0.03558438 1.1228311
## [176] {225}       => {48}    0.01969102 0.53300583 1.1152453
## [177] {48}        => {225}   0.01969102 0.04120090 1.1152453
## [178] {12925}     => {39}    0.01063950 0.63940014 1.1123985
## [179] {39}        => {12925} 0.01063950 0.01851011 1.1123985
## [180] {147}       => {39}    0.01289671 0.63912310 1.1119165
## [181] {39}        => {147}   0.01289671 0.02243710 1.1119165
## [182] {110,38}    => {39}    0.01973639 0.63853211 1.1108884
## [183] {32}        => {48}    0.09112770 0.52970264 1.1083338
## [184] {48}        => {32}    0.09112770 0.19067284 1.1083338
## [185] {237}       => {39}    0.02188018 0.63621372 1.1068549
## [186] {39}        => {237}   0.02188018 0.03806611 1.1068549
## [187] {110}       => {39}    0.01995191 0.62956335 1.0952849
## [188] {39}        => {110}   0.01995191 0.03471140 1.0952849
## [189] {271}       => {48}    0.01236360 0.52053486 1.0891514
## [190] {48}        => {271}   0.01236360 0.02586923 1.0891514
## [191] {101}       => {39}    0.01587986 0.62583818 1.0888041
## [192] {39}        => {101}   0.01587986 0.02762704 1.0888041
## [193] {65}        => {39}    0.03161226 0.62321109 1.0842336
## [194] {39}        => {65}    0.03161226 0.05499753 1.0842336
## [195] {533}       => {39}    0.01045802 0.62004035 1.0787173
## [196] {39}        => {533}   0.01045802 0.01819438 1.0787173
## [197] {39,48}     => {32}    0.06127356 0.18536820 1.0774992
## [198] {38}        => {48}    0.09010685 0.50936137 1.0657723
## [199] {48}        => {38}    0.09010685 0.18853685 1.0657723
## [200] {170,38}    => {48}    0.01744516 0.50742329 1.0617172
## [201] {38}        => {32}    0.03213403 0.18164914 1.0558813
## [202] {32}        => {38}    0.03213403 0.18678710 1.0558813
## [203] {170}       => {48}    0.01766067 0.50242014 1.0512487
## [204] {48}        => {170}   0.01766067 0.03695265 1.0512487
## [205] {413}       => {39}    0.01281731 0.60106383 1.0457028
## [206] {39}        => {413}   0.01281731 0.02229896 1.0457028
## [207] {110,38}    => {48}    0.01543749 0.49944954 1.0450331
## [208] {38,39}     => {32}    0.02087067 0.17786370 1.0338775
## [209] {110}       => {48}    0.01565300 0.49391553 1.0334539
## [210] {48}        => {110}   0.01565300 0.03275187 1.0334539
## [211] {36,38}     => {48}    0.01542615 0.48745520 1.0199365
## [212] {36}        => {48}    0.01606134 0.48228883 1.0091266
## [213] {48}        => {36}    0.01606134 0.03360627 1.0091266
## [214] {}          => {242}   0.01033325 0.01033325 1.0000000
## [215] {}          => {45}    0.01033325 0.01033325 1.0000000
## [216] {}          => {37}    0.01218212 0.01218212 1.0000000
## [217] {}          => {161}   0.01145618 0.01145618 1.0000000
## [218] {}          => {286}   0.01341848 0.01341848 1.0000000
## [219] {}          => {175}   0.01100247 0.01100247 1.0000000
## [220] {}          => {264}   0.01015177 0.01015177 1.0000000
## [221] {}          => {2958}  0.01025385 0.01025385 1.0000000
## [222] {}          => {13041} 0.01192124 0.01192124 1.0000000
## [223] {}          => {31}    0.01043533 0.01043533 1.0000000
## [224] {}          => {740}   0.01339579 0.01339579 1.0000000
## [225] {}          => {956}   0.01033325 0.01033325 1.0000000
## [226] {}          => {16217} 0.01322565 0.01322565 1.0000000
## [227] {}          => {15832} 0.01296477 0.01296477 1.0000000
## [228] {}          => {479}   0.01050339 0.01050339 1.0000000
## [229] {}          => {78}    0.01202332 0.01202332 1.0000000
## [230] {}          => {522}   0.01104784 0.01104784 1.0000000
## [231] {}          => {258}   0.01119530 0.01119530 1.0000000
## [232] {}          => {19}    0.01139947 0.01139947 1.0000000
## [233] {}          => {179}   0.01132007 0.01132007 1.0000000
## [234] {}          => {10515} 0.01000431 0.01000431 1.0000000
## [235] {}          => {3270}  0.01077562 0.01077562 1.0000000
## [236] {}          => {49}    0.01270389 0.01270389 1.0000000
## [237] {}          => {589}   0.01269254 0.01269254 1.0000000
## [238] {}          => {677}   0.01259046 0.01259046 1.0000000
## [239] {}          => {16010} 0.01492707 0.01492707 1.0000000
## [240] {}          => {1004}  0.01249972 0.01249972 1.0000000
## [241] {}          => {783}   0.01094576 0.01094576 1.0000000
## [242] {}          => {12925} 0.01663982 0.01663982 1.0000000
## [243] {}          => {824}   0.01372473 0.01372473 1.0000000
## [244] {}          => {548}   0.01289671 0.01289671 1.0000000
## [245] {}          => {1146}  0.01617477 0.01617477 1.0000000
## [246] {}          => {117}   0.01163767 0.01163767 1.0000000
## [247] {}          => {592}   0.01391756 0.01391756 1.0000000
## [248] {}          => {1393}  0.01316894 0.01316894 1.0000000
## [249] {}          => {249}   0.01315760 0.01315760 1.0000000
## [250] {}          => {338}   0.01445067 0.01445067 1.0000000
## [251] {}          => {123}   0.01476827 0.01476827 1.0000000
## [252] {}          => {604}   0.01371339 0.01371339 1.0000000
## [253] {}          => {301}   0.01365668 0.01365668 1.0000000
## [254] {}          => {14098} 0.01464350 0.01464350 1.0000000
## [255] {}          => {79}    0.01814841 0.01814841 1.0000000
## [256] {}          => {201}   0.01285134 0.01285134 1.0000000
## [257] {}          => {1327}  0.02025816 0.02025816 1.0000000
## [258] {}          => {438}   0.02113155 0.02113155 1.0000000
## [259] {}          => {60}    0.01688936 0.01688936 1.0000000
## [260] {}          => {255}   0.01671922 0.01671922 1.0000000
## [261] {}          => {533}   0.01686668 0.01686668 1.0000000
## [262] {}          => {185}   0.01560763 0.01560763 1.0000000
## [263] {}          => {270}   0.01966834 0.01966834 1.0000000
## [264] {}          => {9}     0.01556226 0.01556226 1.0000000
## [265] {}          => {2238}  0.01945283 0.01945283 1.0000000
## [266] {}          => {110}   0.03169166 0.03169166 1.0000000
## [267] {}          => {147}   0.02017876 0.02017876 1.0000000
## [268] {}          => {271}   0.02375173 0.02375173 1.0000000
## [269] {}          => {413}   0.02132438 0.02132438 1.0000000
## [270] {}          => {36}    0.03330233 0.03330233 1.0000000
## [271] {}          => {475}   0.02457975 0.02457975 1.0000000
## [272] {}          => {170}   0.03515120 0.03515120 1.0000000
## [273] {}          => {101}   0.02537374 0.02537374 1.0000000
## [274] {}          => {310}   0.02942311 0.02942311 1.0000000
## [275] {}          => {237}   0.03439123 0.03439123 1.0000000
## [276] {}          => {225}   0.03694335 0.03694335 1.0000000
## [277] {}          => {89}    0.04352215 0.04352215 1.0000000
## [278] {}          => {65}    0.05072480 0.05072480 1.0000000
## [279] {}          => {38}    0.17690161 0.17690161 1.0000000
## [280] {}          => {32}    0.17203557 0.17203557 1.0000000
## [281] {}          => {41}    0.16951748 0.16951748 1.0000000
## [282] {}          => {48}    0.47792700 0.47792700 1.0000000
## [283] {}          => {39}    0.57479413 0.57479413 1.0000000
## [284] {32}        => {39}    0.09590300 0.55746028 0.9698434
## [285] {39}        => {32}    0.09590300 0.16684756 0.9698434
##              lhs      rhs    support confidence     lift
## [1]      {38,39} =>  {36} 0.02206166  0.1880135 5.645657
## [2]  {110,39,48} =>  {38} 0.01169438  0.9942141 5.620153
## [3]  {170,39,48} =>  {38} 0.01353191  0.9892206 5.591925
## [4]     {110,39} =>  {38} 0.01973639  0.9891984 5.591800
## [5]     {170,48} =>  {38} 0.01744516  0.9877970 5.583878
## [6]     {110,48} =>  {38} 0.01543749  0.9862319 5.575030
## [7]   {38,39,48} => {170} 0.01353191  0.1955097 5.561963
## [8]      {38,39} => {170} 0.02290102  0.1951667 5.552207
## [9]     {170,39} =>  {38} 0.02290102  0.9805731 5.543042
## [10]       {170} =>  {38} 0.03437989  0.9780574 5.528821
#http://fimi.ua.ac.be/data/accidents.pdf
library(arules)
ab=read.transactions("http://fimi.ua.ac.be/data/accidents.dat")
## Warning in rm(list = cmd, envir = .tkplot.env): object 'tkp.1' not found
itemFrequencyPlot(ab,topN=20,type="absolute")

basket_rulesb <- apriori(ab,parameter = list(sup = 0.01, conf = 0.01,target="rules"))
## Apriori
## 
## Parameter specification:
##  confidence minval smax arem  aval originalSupport maxtime support minlen
##        0.01    0.1    1 none FALSE            TRUE       5    0.01      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: 3401 
## 
## set item appearances ...[0 item(s)] done [0.00s].
## set transactions ...[468 item(s), 340183 transaction(s)] done [0.92s].
## sorting and recoding items ... [166 item(s)] done [0.31s].
## creating transaction tree ... done [1.14s].
## checking subsets of size 1 2 3
## Warning in apriori(ab, parameter = list(sup = 0.01, conf = 0.01, target
## = "rules")): Mining stopped (time limit reached). Only patterns up to a
## length of 3 returned!
##  done [11.33s].
## writing ... [294495 rule(s)] done [0.20s].
## creating S4 object  ... done [0.22s].
inspect(basket_rulesb)[1:10,]
##          lhs          rhs   support    confidence lift       
## [1]      {}        => {37}  0.01077949 0.01077949  1.00000000
## [2]      {}        => {199} 0.01067073 0.01067073  1.00000000
## [3]      {}        => {180} 0.01130568 0.01130568  1.00000000
## [4]      {}        => {143} 0.01223753 0.01223753  1.00000000
## [5]      {}        => {178} 0.01160258 0.01160258  1.00000000
## [6]      {}        => {204} 0.01279017 0.01279017  1.00000000
## [7]      {}        => {166} 0.01279899 0.01279899  1.00000000
## [8]      {}        => {147} 0.01264319 0.01264319  1.00000000
## [9]      {}        => {167} 0.01305474 0.01305474  1.00000000
## [10]     {}        => {87}  0.01298713 0.01298713  1.00000000
## [11]     {}        => {139} 0.01453335 0.01453335  1.00000000
## [12]     {}        => {163} 0.01388076 0.01388076  1.00000000
## [13]     {}        => {230} 0.01485965 0.01485965  1.00000000
## [14]     {}        => {155} 0.01502721 0.01502721  1.00000000
## [15]     {}        => {164} 0.01342807 0.01342807  1.00000000
## [16]     {}        => {154} 0.01495372 0.01495372  1.00000000
## [17]     {}        => {76}  0.01350156 0.01350156  1.00000000
## [18]     {}        => {110} 0.01435992 0.01435992  1.00000000
## [19]     {}        => {179} 0.01551518 0.01551518  1.00000000
## [20]     {}        => {116} 0.01847535 0.01847535  1.00000000
## [21]     {}        => {32}  0.01853120 0.01853120  1.00000000
## [22]     {}        => {40}  0.02102692 0.02102692  1.00000000
## [23]     {}        => {3}   0.01924846 0.01924846  1.00000000
## [24]     {}        => {113} 0.01819903 0.01819903  1.00000000
## [25]     {}        => {186} 0.01801971 0.01801971  1.00000000
## [26]     {}        => {162} 0.02057716 0.02057716  1.00000000
## [27]     {}        => {114} 0.02038315 0.02038315  1.00000000
## [28]     {}        => {134} 0.02110041 0.02110041  1.00000000
## [29]     {}        => {79}  0.02106219 0.02106219  1.00000000
## [30]     {}        => {91}  0.02262900 0.02262900  1.00000000
## [31]     {}        => {104} 0.02155311 0.02155311  1.00000000
## [32]     {}        => {112} 0.02103280 0.02103280  1.00000000
## [33]     {}        => {92}  0.02160896 0.02160896  1.00000000
## [34]     {}        => {115} 0.02429869 0.02429869  1.00000000
## [35]     {}        => {138} 0.02265545 0.02265545  1.00000000
## [36]     {}        => {85}  0.02338447 0.02338447  1.00000000
## [37]     {}        => {210} 0.02303172 0.02303172  1.00000000
## [38]     {}        => {97}  0.02367255 0.02367255  1.00000000
## [39]     {}        => {185} 0.02672385 0.02672385  1.00000000
## [40]     {}        => {90}  0.02721476 0.02721476  1.00000000
## [41]     {}        => {127} 0.02548922 0.02548922  1.00000000
## [42]     {}        => {249} 0.02651220 0.02651220  1.00000000
## [43]     {}        => {145} 0.02761455 0.02761455  1.00000000
## [44]     {}        => {146} 0.02827596 0.02827596  1.00000000
## [45]     {}        => {6}   0.02753518 0.02753518  1.00000000
## [46]     {}        => {193} 0.02728825 0.02728825  1.00000000
## [47]     {}        => {168} 0.02670621 0.02670621  1.00000000
## [48]     {}        => {129} 0.03068055 0.03068055  1.00000000
## [49]     {}        => {123} 0.03082459 0.03082459  1.00000000
## [50]     {}        => {103} 0.03268829 0.03268829  1.00000000
## [51]     {}        => {128} 0.03150363 0.03150363  1.00000000
## [52]     {}        => {142} 0.03085104 0.03085104  1.00000000
## [53]     {}        => {89}  0.03673317 0.03673317  1.00000000
## [54]     {}        => {11}  0.04078981 0.04078981  1.00000000
## [55]     {}        => {141} 0.03988735 0.03988735  1.00000000
## [56]     {}        => {73}  0.03819415 0.03819415  1.00000000
## [57]     {}        => {111} 0.03883204 0.03883204  1.00000000
## [58]     {}        => {109} 0.03999612 0.03999612  1.00000000
## [59]     {}        => {105} 0.04708936 0.04708936  1.00000000
## [60]     {}        => {106} 0.04832105 0.04832105  1.00000000
## [61]     {}        => {101} 0.05316844 0.05316844  1.00000000
## [62]     {}        => {124} 0.04987316 0.04987316  1.00000000
## [63]     {}        => {117} 0.05636084 0.05636084  1.00000000
## [64]     {}        => {161} 0.05802759 0.05802759  1.00000000
## [65]     {}        => {159} 0.05904175 0.05904175  1.00000000
## [66]     {}        => {122} 0.06192843 0.06192843  1.00000000
## [67]     {}        => {99}  0.06101128 0.06101128  1.00000000
## [68]     {}        => {176} 0.06388914 0.06388914  1.00000000
## [69]     {}        => {83}  0.06334532 0.06334532  1.00000000
## [70]     {}        => {121} 0.06418604 0.06418604  1.00000000
## [71]     {}        => {67}  0.06735492 0.06735492  1.00000000
## [72]     {}        => {57}  0.06785759 0.06785759  1.00000000
## [73]     {}        => {74}  0.06490036 0.06490036  1.00000000
## [74]     {}        => {96}  0.06981536 0.06981536  1.00000000
## [75]     {}        => {34}  0.07687333 0.07687333  1.00000000
## [76]     {}        => {4}   0.07852538 0.07852538  1.00000000
## [77]     {}        => {65}  0.07431294 0.07431294  1.00000000
## [78]     {}        => {100} 0.07590914 0.07590914  1.00000000
## [79]     {}        => {81}  0.07681748 0.07681748  1.00000000
## [80]     {}        => {94}  0.07800507 0.07800507  1.00000000
## [81]     {}        => {70}  0.08274370 0.08274370  1.00000000
## [82]     {}        => {385} 0.09261192 0.09261192  1.00000000
## [83]     {}        => {52}  0.09312047 0.09312047  1.00000000
## [84]     {}        => {48}  0.09364078 0.09364078  1.00000000
## [85]     {}        => {346} 0.09549860 0.09549860  1.00000000
## [86]     {}        => {75}  0.09001038 0.09001038  1.00000000
## [87]     {}        => {441} 0.09707422 0.09707422  1.00000000
## [88]     {}        => {402} 0.09715359 0.09715359  1.00000000
## [89]     {}        => {416} 0.09871452 0.09871452  1.00000000
## [90]     {}        => {58}  0.09599245 0.09599245  1.00000000
## [91]     {}        => {307} 0.10047533 0.10047533  1.00000000
## [92]     {}        => {66}  0.10326207 0.10326207  1.00000000
## [93]     {}        => {71}  0.09864103 0.09864103  1.00000000
## [94]     {}        => {437} 0.10573133 0.10573133  1.00000000
## [95]     {}        => {107} 0.10849749 0.10849749  1.00000000
## [96]     {}        => {20}  0.10849455 0.10849455  1.00000000
## [97]     {}        => {69}  0.10608702 0.10608702  1.00000000
## [98]     {}        => {88}  0.10802715 0.10802715  1.00000000
## [99]     {}        => {51}  0.11481761 0.11481761  1.00000000
## [100]    {}        => {144} 0.11394749 0.11394749  1.00000000
## [101]    {}        => {45}  0.12359818 0.12359818  1.00000000
## [102]    {}        => {55}  0.12310727 0.12310727  1.00000000
## [103]    {}        => {140} 0.13914570 0.13914570  1.00000000
## [104]    {}        => {137} 0.14114462 0.14114462  1.00000000
## [105]    {}        => {86}  0.14951952 0.14951952  1.00000000
## [106]    {}        => {135} 0.14610371 0.14610371  1.00000000
## [107]    {}        => {36}  0.15955236 0.15955236  1.00000000
## [108]    {}        => {136} 0.15820015 0.15820015  1.00000000
## [109]    {}        => {77}  0.16128378 0.16128378  1.00000000
## [110]    {}        => {13}  0.18125538 0.18125538  1.00000000
## [111]    {}        => {2}   0.17431794 0.17431794  1.00000000
## [112]    {}        => {126} 0.16255662 0.16255662  1.00000000
## [113]    {}        => {98}  0.17060229 0.17060229  1.00000000
## [114]    {}        => {19}  0.17919179 0.17919179  1.00000000
## [115]    {}        => {72}  0.16970866 0.16970866  1.00000000
## [116]    {}        => {95}  0.18494457 0.18494457  1.00000000
## [117]    {}        => {42}  0.18980372 0.18980372  1.00000000
## [118]    {}        => {125} 0.18019419 0.18019419  1.00000000
## [119]    {}        => {7}   0.20639185 0.20639185  1.00000000
## [120]    {}        => {62}  0.21347040 0.21347040  1.00000000
## [121]    {}        => {9}   0.21453747 0.21453747  1.00000000
## [122]    {}        => {35}  0.21616894 0.21616894  1.00000000
## [123]    {}        => {49}  0.21714783 0.21714783  1.00000000
## [124]    {}        => {108} 0.20965186 0.20965186  1.00000000
## [125]    {}        => {102} 0.21545168 0.21545168  1.00000000
## [126]    {}        => {84}  0.22314460 0.22314460  1.00000000
## [127]    {}        => {33}  0.23529101 0.23529101  1.00000000
## [128]    {}        => {82}  0.24779310 0.24779310  1.00000000
## [129]    {}        => {61}  0.25386630 0.25386630  1.00000000
## [130]    {}        => {44}  0.26476926 0.26476926  1.00000000
## [131]    {}        => {335} 0.26723558 0.26723558  1.00000000
## [132]    {}        => {68}  0.26659768 0.26659768  1.00000000
## [133]    {}        => {64}  0.28123980 0.28123980  1.00000000
## [134]    {}        => {5}   0.28460564 0.28460564  1.00000000
## [135]    {}        => {47}  0.32216483 0.32216483  1.00000000
## [136]    {}        => {56}  0.36962752 0.36962752  1.00000000
## [137]    {}        => {53}  0.42139672 0.42139672  1.00000000
## [138]    {}        => {80}  0.41928903 0.41928903  1.00000000
## [139]    {}        => {60}  0.46780115 0.46780115  1.00000000
## [140]    {}        => {26}  0.47469450 0.47469450  1.00000000
## [141]    {}        => {46}  0.48861054 0.48861054  1.00000000
## [142]    {}        => {39}  0.48627062 0.48627062  1.00000000
## [143]    {}        => {23}  0.50945814 0.50945814  1.00000000
## [144]    {}        => {30}  0.53983003 0.53983003  1.00000000
## [145]    {}        => {10}  0.58071097 0.58071097  1.00000000
## [146]    {}        => {38}  0.61916380 0.61916380  1.00000000
## [147]    {}        => {14}  0.63337674 0.63337674  1.00000000
## [148]    {}        => {63}  0.64864499 0.64864499  1.00000000
## [149]    {}        => {22}  0.67663581 0.67663581  1.00000000
## [150]    {}        => {1}   0.68993454 0.68993454  1.00000000
## [151]    {}        => {8}   0.70274235 0.70274235  1.00000000
## [152]    {}        => {59}  0.72400443 0.72400443  1.00000000
## [153]    {}        => {25}  0.75969111 0.75969111  1.00000000
## [154]    {}        => {41}  0.77780783 0.77780783  1.00000000
## [155]    {}        => {28}  0.79535133 0.79535133  1.00000000
## [156]    {}        => {15}  0.80226819 0.80226819  1.00000000
## [157]    {}        => {24}  0.80607497 0.80607497  1.00000000
## [158]    {}        => {27}  0.83495060 0.83495060  1.00000000
## [159]    {}        => {43}  0.85658601 0.85658601  1.00000000
## [160]    {}        => {29}  0.87950015 0.87950015  1.00000000
## [161]    {}        => {21}  0.88906853 0.88906853  1.00000000
## [162]    {}        => {31}  0.93483213 0.93483213  1.00000000
## [163]    {}        => {16}  0.97716229 0.97716229  1.00000000
## [164]    {}        => {18}  0.99680172 0.99680172  1.00000000
## [165]    {}        => {12}  0.99828916 0.99828916  1.00000000
## [166]    {}        => {17}  0.99990593 0.99990593  1.00000000
## [167]    {37}      => {29}  0.01015630 0.94218707  1.07127562
## [168]    {29}      => {37}  0.01015630 0.01154781  1.07127562
## [169]    {37}      => {31}  0.01012690 0.93946005  1.00495053
## [170]    {31}      => {37}  0.01012690 0.01083286  1.00495053
## [171]    {37}      => {16}  0.01033855 0.95909463  0.98151007
## [172]    {16}      => {37}  0.01033855 0.01058018  0.98151007
## [173]    {37}      => {18}  0.01073834 0.99618217  0.99937846
## [174]    {18}      => {37}  0.01073834 0.01077279  0.99937846
## [175]    {37}      => {12}  0.01076185 0.99836379  1.00007476
## [176]    {12}      => {37}  0.01076185 0.01078030  1.00007476
## [177]    {37}      => {17}  0.01077949 1.00000000  1.00009408
## [178]    {17}      => {37}  0.01077949 0.01078051  1.00009408
## [179]    {199}     => {1}   0.01055020 0.98870523  1.43304210
## [180]    {1}       => {199} 0.01055020 0.01529160  1.43304210
## [181]    {199}     => {21}  0.01016806 0.95289256  1.07178753
## [182]    {21}      => {199} 0.01016806 0.01143675  1.07178753
## [183]    {199}     => {31}  0.01039147 0.97382920  1.04171558
## [184]    {31}      => {199} 0.01039147 0.01111586  1.04171558
## [185]    {199}     => {16}  0.01037089 0.97190083  0.99461557
## [186]    {16}      => {199} 0.01037089 0.01061327  0.99461557
## [187]    {199}     => {18}  0.01064721 0.99779614  1.00099761
## [188]    {18}      => {199} 0.01064721 0.01068137  1.00099761
## [189]    {199}     => {12}  0.01065897 0.99889807  1.00060996
## [190]    {12}      => {199} 0.01065897 0.01067724  1.00060996
## [191]    {199}     => {17}  0.01066779 0.99972452  0.99981857
## [192]    {17}      => {199} 0.01066779 0.01066879  0.99981857
## [193]    {180}     => {161} 0.01096469 0.96983879 16.71340782
## [194]    {161}     => {180} 0.01096469 0.18895643 16.71340782
## [195]    {180}     => {159} 0.01118516 0.98933957 16.75660962
## [196]    {159}     => {180} 0.01118516 0.18944486 16.75660962
## [197]    {180}     => {59}  0.01071482 0.94773791  1.30902225
## [198]    {59}      => {180} 0.01071482 0.01479939  1.30902225
## [199]    {180}     => {25}  0.01124101 0.99427977  1.30879480
## [200]    {25}      => {180} 0.01124101 0.01479681  1.30879480
## [201]    {180}     => {28}  0.01094117 0.96775871  1.21676884
## [202]    {28}      => {180} 0.01094117 0.01375640  1.21676884
## [203]    {180}     => {43}  0.01021803 0.90379615  1.05511430
## [204]    {43}      => {180} 0.01021803 0.01192878  1.05511430
## [205]    {180}     => {31}  0.01112049 0.98361934  1.05218820
## [206]    {31}      => {180} 0.01112049 0.01189570  1.05218820
## [207]    {180}     => {16}  0.01097057 0.97035881  0.99303752
## [208]    {16}      => {180} 0.01097057 0.01122696  0.99303752
## [209]    {180}     => {18}  0.01124101 0.99427977  0.99746996
## [210]    {18}      => {180} 0.01124101 0.01127708  0.99746996
## [211]    {180}     => {12}  0.01129980 0.99947998  1.00119286
## [212]    {12}      => {180} 0.01129980 0.01131917  1.00119286
## [213]    {180}     => {17}  0.01130274 0.99973999  0.99983404
## [214]    {17}      => {180} 0.01130274 0.01130380  0.99983404
## [215]    {143}     => {8}   0.01026506 0.83881816  1.19363542
## [216]    {8}       => {143} 0.01026506 0.01460715  1.19363542
## [217]    {143}     => {25}  0.01064427 0.86980543  1.14494618
## [218]    {25}      => {143} 0.01064427 0.01401131  1.14494618
## [219]    {143}     => {28}  0.01010339 0.82560653  1.03804005
## [220]    {28}      => {143} 0.01010339 0.01270305  1.03804005
## [221]    {143}     => {24}  0.01099114 0.89815037  1.11422685
## [222]    {24}      => {143} 0.01099114 0.01363539  1.11422685
## [223]    {143}     => {43}  0.01122631 0.91736728  1.07095758
## [224]    {43}      => {143} 0.01122631 0.01310588  1.07095758
## [225]    {143}     => {29}  0.01192005 0.97405717  1.10751223
## [226]    {29}      => {143} 0.01192005 0.01355322  1.10751223
## [227]    {143}     => {21}  0.01159082 0.94715350  1.06533238
## [228]    {21}      => {143} 0.01159082 0.01303704  1.06533238
## [229]    {143}     => {31}  0.01167019 0.95363920  1.02011812
## [230]    {31}      => {143} 0.01167019 0.01248373  1.02011812
## [231]    {143}     => {16}  0.01187302 0.97021379  0.99288910
## [232]    {16}      => {143} 0.01187302 0.01215051  0.99288910
## [233]    {143}     => {18}  0.01219932 0.99687725  1.00007577
## [234]    {18}      => {143} 0.01219932 0.01223846  1.00007577
## [235]    {143}     => {12}  0.01221989 0.99855873  1.00027004
## [236]    {12}      => {143} 0.01221989 0.01224084  1.00027004
## [237]    {143}     => {17}  0.01223753 1.00000000  1.00009408
## [238]    {17}      => {143} 0.01223753 0.01223868  1.00009408
## [239]    {178}     => {161} 0.01105581 0.95287560 16.42107806
## [240]    {161}     => {178} 0.01105581 0.19052685 16.42107806
## [241]    {178}     => {159} 0.01142914 0.98505194 16.68398922
## [242]    {159}     => {178} 0.01142914 0.19357730 16.68398922
## [243]    {178}     => {46}  0.01001520 0.86318723  1.76661606
## [244]    {46}      => {178} 0.01001520 0.02049730  1.76661606
## [245]    {178}     => {59}  0.01070600 0.92272612  1.27447579
## [246]    {59}      => {178} 0.01070600 0.01478721  1.27447579
## [247]    {178}     => {25}  0.01150557 0.99163922  1.30531898
## [248]    {25}      => {178} 0.01150557 0.01514507  1.30531898
## [249]    {178}     => {28}  0.01112342 0.95870281  1.20538281
## [250]    {28}      => {178} 0.01112342 0.01398555  1.20538281
## [251]    {178}     => {43}  0.01042674 0.89865721  1.04911497
## [252]    {43}      => {178} 0.01042674 0.01217244  1.04911497
## [253]    {178}     => {31}  0.01138799 0.98150494  1.04992640
## [254]    {31}      => {178} 0.01138799 0.01218185  1.04992640
## [255]    {178}     => {16}  0.01109403 0.95616924  0.97851631
## [256]    {16}      => {178} 0.01109403 0.01135331  0.97851631
## [257]    {178}     => {18}  0.01152321 0.99315936  0.99634595
## [258]    {18}      => {178} 0.01152321 0.01156018  0.99634595
## [259]    {178}     => {12}  0.01159376 0.99923993  1.00095240
## [260]    {12}      => {178} 0.01159376 0.01161363  1.00095240
## [261]    {178}     => {17}  0.01159670 0.99949329  0.99958731
## [262]    {17}      => {178} 0.01159670 0.01159779  0.99958731
## [263]    {204}     => {10}  0.01040028 0.81314640  1.40026010
## [264]    {10}      => {204} 0.01040028 0.01790957  1.40026010
## [265]    {204}     => {59}  0.01192887 0.93265916  1.28819537
## [266]    {59}      => {204} 0.01192887 0.01647624  1.28819537
## [267]    {204}     => {41}  0.01128216 0.88209607  1.13407970
## [268]    {41}      => {204} 0.01128216 0.01450508  1.13407970
## [269]    {204}     => {15}  0.01049729 0.82073087  1.02301310
## [270]    {15}      => {204} 0.01049729 0.01308452  1.02301310
## [271]    {204}     => {24}  0.01052081 0.82256952  1.02046281
## [272]    {24}      => {204} 0.01052081 0.01305190  1.02046281
## [273]    {204}     => {27}  0.01183775 0.92553436  1.10848996
## [274]    {27}      => {204} 0.01183775 0.01417778  1.10848996
## [275]    {204}     => {43}  0.01183775 0.92553436  1.08049203
## [276]    {43}      => {204} 0.01183775 0.01381968  1.08049203
## [277]    {204}     => {29}  0.01186420 0.92760285  1.05469322
## [278]    {29}      => {204} 0.01186420 0.01348971  1.05469322
## [279]    {204}     => {21}  0.01231690 0.96299701  1.08315274
## [280]    {21}      => {204} 0.01231690 0.01385371  1.08315274
## [281]    {204}     => {31}  0.01253737 0.98023443  1.04856732
## [282]    {31}      => {204} 0.01253737 0.01341136  1.04856732
## [283]    {204}     => {16}  0.01259028 0.98437141  1.00737760
## [284]    {16}      => {204} 0.01259028 0.01288454  1.00737760
## [285]    {204}     => {18}  0.01277254 0.99862101  1.00182512
## [286]    {18}      => {204} 0.01277254 0.01281352  1.00182512
## [287]    {204}     => {12}  0.01277842 0.99908067  1.00079287
## [288]    {12}      => {204} 0.01277842 0.01280032  1.00079287
## [289]    {204}     => {17}  0.01279017 1.00000000  1.00009408
## [290]    {17}      => {204} 0.01279017 0.01279138  1.00009408
## [291]    {166}     => {161} 0.01193181 0.93224621 16.06556801
## [292]    {161}     => {166} 0.01193181 0.20562310 16.06556801
## [293]    {166}     => {159} 0.01258440 0.98323381 16.65319525
## [294]    {159}     => {166} 0.01258440 0.21314414 16.65319525
## [295]    {166}     => {46}  0.01131156 0.88378503  1.80877191
## [296]    {46}      => {166} 0.01131156 0.02315046  1.80877191
## [297]    {166}     => {59}  0.01170546 0.91456132  1.26319851
## [298]    {59}      => {166} 0.01170546 0.01616767  1.26319851
## [299]    {166}     => {25}  0.01263144 0.98690859  1.29909193
## [300]    {25}      => {166} 0.01263144 0.01662707  1.29909193
## [301]    {166}     => {41}  0.01000050 0.78135048  1.00455467
## [302]    {41}      => {166} 0.01000050 0.01285729  1.00455467
## [303]    {166}     => {28}  0.01232572 0.96302251  1.21081399
## [304]    {28}      => {166} 0.01232572 0.01549720  1.21081399
## [305]    {166}     => {24}  0.01066485 0.83325678  1.03372119
## [306]    {24}      => {166} 0.01066485 0.01323059  1.03372119
## [307]    {166}     => {43}  0.01152909 0.90078089  1.05159421
## [308]    {43}      => {166} 0.01152909 0.01345935  1.05159421
## [309]    {166}     => {29}  0.01069424 0.83555351  0.95003226
## [310]    {29}      => {166} 0.01069424 0.01215946  0.95003226
## [311]    {166}     => {21}  0.01033855 0.80776298  0.90854973
## [312]    {21}      => {166} 0.01033855 0.01162852  0.90854973
## [313]    {166}     => {31}  0.01244330 0.97220946  1.03998293
## [314]    {31}      => {166} 0.01244330 0.01331073  1.03998293
## [315]    {166}     => {16}  0.01233748 0.96394120  0.98646992
## [316]    {16}      => {166} 0.01233748 0.01262582  0.98646992
## [317]    {166}     => {18}  0.01272256 0.99402848  0.99721786
## [318]    {18}      => {166} 0.01272256 0.01276338  0.99721786
## [319]    {166}     => {12}  0.01278724 0.99908130  1.00079351
## [320]    {12}      => {166} 0.01278724 0.01280915  1.00079351
## [321]    {166}     => {17}  0.01279017 0.99931098  0.99940499
## [322]    {17}      => {166} 0.01279017 0.01279138  0.99940499
## [323]    {147}     => {59}  0.01027682 0.81283422  1.12269233
## [324]    {59}      => {147} 0.01027682 0.01419442  1.12269233
## [325]    {147}     => {27}  0.01159964 0.91746106  1.09882076
## [326]    {27}      => {147} 0.01159964 0.01389261  1.09882076
## [327]    {147}     => {43}  0.01144384 0.90513834  1.05668120
## [328]    {43}      => {147} 0.01144384 0.01335983  1.05668120
## [329]    {147}     => {29}  0.01184656 0.93699140  1.06536809
## [330]    {29}      => {147} 0.01184656 0.01346966  1.06536809
## [331]    {147}     => {21}  0.01216110 0.96186933  1.08188435
## [332]    {21}      => {147} 0.01216110 0.01367847  1.08188435
## [333]    {147}     => {31}  0.01188772 0.94024645  1.00579176
## [334]    {31}      => {147} 0.01188772 0.01271642  1.00579176
## [335]    {147}     => {16}  0.01199648 0.94884910  0.97102509
## [336]    {16}      => {147} 0.01199648 0.01227686  0.97102509
## [337]    {147}     => {18}  0.01255501 0.99302488  0.99621104
## [338]    {18}      => {147} 0.01255501 0.01259529  0.99621104
## [339]    {147}     => {12}  0.01260498 0.99697745  0.99868604
## [340]    {12}      => {147} 0.01260498 0.01262658  0.99868604
## [341]    {147}     => {17}  0.01264319 1.00000000  1.00009408
## [342]    {17}      => {147} 0.01264319 0.01264438  1.00009408
## [343]    {167}     => {25}  0.01013866 0.77662689  1.02229298
## [344]    {25}      => {167} 0.01013866 0.01334577  1.02229298
## [345]    {167}     => {41}  0.01013278 0.77617654  0.99790271
## [346]    {41}      => {167} 0.01013278 0.01302736  0.99790271
## [347]    {167}     => {28}  0.01017394 0.77932898  0.97985501
## [348]    {28}      => {167} 0.01017394 0.01279175  0.97985501
## [349]    {167}     => {15}  0.01049435 0.80387300  1.00200034
## [350]    {15}      => {167} 0.01049435 0.01308085  1.00200034
## [351]    {167}     => {24}  0.01072952 0.82188696  1.01961604
## [352]    {24}      => {167} 0.01072952 0.01331082  1.01961604
## [353]    {167}     => {43}  0.01042674 0.79869399  0.93241540
## [354]    {43}      => {167} 0.01042674 0.01217244  0.93241540
## [355]    {167}     => {29}  0.01139387 0.87277640  0.99235503
## [356]    {29}      => {167} 0.01139387 0.01295494  0.99235503
## [357]    {167}     => {21}  0.01049435 0.80387300  0.90417440
## [358]    {21}      => {167} 0.01049435 0.01180376  0.90417440
## [359]    {167}     => {31}  0.01193475 0.91420851  0.97793869
## [360]    {31}      => {167} 0.01193475 0.01276673  0.97793869
## [361]    {167}     => {16}  0.01276078 0.97748255  1.00032774
## [362]    {16}      => {167} 0.01276078 0.01305902  1.00032774
## [363]    {167}     => {18}  0.01301064 0.99662238  0.99982009
## [364]    {18}      => {167} 0.01301064 0.01305239  0.99982009
## [365]    {167}     => {12}  0.01302828 0.99797343  0.99968373
## [366]    {12}      => {167} 0.01302828 0.01305061  0.99968373
## [367]    {167}     => {17}  0.01305474 1.00000000  1.00009408
## [368]    {17}      => {167} 0.01305474 0.01305597  1.00009408
## [369]    {87}      => {41}  0.01074422 0.82729742  1.06362702
## [370]    {41}      => {87}  0.01074422 0.01381346  1.06362702
## [371]    {87}      => {15}  0.01008575 0.77659574  0.96800017
## [372]    {15}      => {87}  0.01008575 0.01257154  0.96800017
## [373]    {87}      => {24}  0.01004753 0.77365324  0.95977827
## [374]    {24}      => {87}  0.01004753 0.01246476  0.95977827
## [375]    {87}      => {27}  0.01165255 0.89723857  1.07460078
## [376]    {27}      => {87}  0.01165255 0.01395598  1.07460078
## [377]    {87}      => {29}  0.01178483 0.90742417  1.03174988
## [378]    {29}      => {87}  0.01178483 0.01339947  1.03174988
## [379]    {87}      => {21}  0.01222871 0.94160254  1.05908881
## [380]    {21}      => {87}  0.01222871 0.01375452  1.05908881
## [381]    {87}      => {31}  0.01241979 0.95631507  1.02298053
## [382]    {31}      => {87}  0.01241979 0.01328558  1.02298053
## [383]    {87}      => {16}  0.01265201 0.97419647  0.99696486
## [384]    {16}      => {87}  0.01265201 0.01294771  0.99696486
## [385]    {87}      => {18}  0.01294891 0.99705749  1.00025659
## [386]    {18}      => {87}  0.01294891 0.01299046  1.00025659
## [387]    {87}      => {12}  0.01296361 0.99818923  0.99989990
## [388]    {12}      => {87}  0.01296361 0.01298583  0.99989990
## [389]    {87}      => {17}  0.01298713 1.00000000  1.00009408
## [390]    {17}      => {87}  0.01298713 0.01298835  1.00009408
## [391]    {139}     => {2}   0.01427761 0.98240291  5.63569595
## [392]    {2}       => {139} 0.01427761 0.08190556  5.63569595
## [393]    {139}     => {10}  0.01087062 0.74797735  1.28803722
## [394]    {10}      => {139} 0.01087062 0.01871950  1.28803722
## [395]    {139}     => {63}  0.01072364 0.73786408  1.13754686
## [396]    {63}      => {139} 0.01072364 0.01653237  1.13754686
## [397]    {139}     => {25}  0.01047671 0.72087379  0.94890381
## [398]    {25}      => {139} 0.01047671 0.01379076  0.94890381
## [399]    {139}     => {15}  0.01051199 0.72330097  0.90157005
## [400]    {15}      => {139} 0.01051199 0.01310284  0.90157005
## [401]    {139}     => {24}  0.01151439 0.79227346  0.98287814
## [402]    {24}      => {139} 0.01151439 0.01428452  0.98287814
## [403]    {139}     => {27}  0.01249622 0.85983010  1.02979757
## [404]    {27}      => {139} 0.01249622 0.01496641  1.02979757
## [405]    {139}     => {43}  0.01362208 0.93729773  1.09422489
## [406]    {43}      => {139} 0.01362208 0.01590276  1.09422489
## [407]    {139}     => {29}  0.01231984 0.84769417  0.96383630
## [408]    {29}      => {139} 0.01231984 0.01400777  0.96383630
## [409]    {139}     => {21}  0.01364266 0.93871359  1.05583941
## [410]    {21}      => {139} 0.01364266 0.01534489  1.05583941
## [411]    {139}     => {31}  0.01176426 0.80946602  0.86589452
## [412]    {31}      => {139} 0.01176426 0.01258435  0.86589452
## [413]    {139}     => {16}  0.01412475 0.97188511  0.99459949
## [414]    {16}      => {139} 0.01412475 0.01445487  0.99459949
## [415]    {139}     => {18}  0.01445986 0.99494337  0.99813568
## [416]    {18}      => {139} 0.01445986 0.01450626  0.99813568
## [417]    {139}     => {12}  0.01448338 0.99656149  0.99826937
## [418]    {12}      => {139} 0.01448338 0.01450820  0.99826937
## [419]    {139}     => {17}  0.01452454 0.99939320  0.99948722
## [420]    {17}      => {139} 0.01452454 0.01452590  0.99948722
## [421]    {163}     => {24}  0.01074128 0.77382465  0.95999092
## [422]    {24}      => {163} 0.01074128 0.01332541  0.95999092
## [423]    {163}     => {27}  0.01304886 0.94006777  1.12589627
## [424]    {27}      => {163} 0.01304886 0.01562830  1.12589627
## [425]    {163}     => {43}  0.01095293 0.78907243  0.92118294
## [426]    {43}      => {163} 0.01095293 0.01278672  0.92118294
## [427]    {163}     => {29}  0.01245212 0.89707751  1.01998562
## [428]    {29}      => {163} 0.01245212 0.01415818  1.01998562
## [429]    {163}     => {21}  0.01347804 0.97098687  1.09213951
## [430]    {21}      => {163} 0.01347804 0.01515973  1.09213951
## [431]    {163}     => {31}  0.01097938 0.79097840  0.84611811
## [432]    {31}      => {163} 0.01097938 0.01174477  0.84611811
## [433]    {163}     => {16}  0.01225811 0.88310038  0.90373973
## [434]    {16}      => {163} 0.01225811 0.01254460  0.90373973
## [435]    {163}     => {18}  0.01379552 0.99385853  0.99704737
## [436]    {18}      => {163} 0.01379552 0.01383978  0.99704737
## [437]    {163}     => {12}  0.01385725 0.99830580  1.00001668
## [438]    {12}      => {163} 0.01385725 0.01388100  1.00001668
## [439]    {163}     => {17}  0.01387488 0.99957645  0.99967049
## [440]    {17}      => {163} 0.01387488 0.01387619  0.99967049
## [441]    {230}     => {23}  0.01055314 0.71018793  1.39400644
## [442]    {23}      => {230} 0.01055314 0.02071445  1.39400644
## [443]    {230}     => {10}  0.01248446 0.84015826  1.44677525
## [444]    {10}      => {230} 0.01248446 0.02149857  1.44677525
## [445]    {230}     => {63}  0.01051199 0.70741840  1.09060951
## [446]    {63}      => {230} 0.01051199 0.01620607  1.09060951
## [447]    {230}     => {25}  0.01092941 0.73550940  0.96816902
## [448]    {25}      => {230} 0.01092941 0.01438665  0.96816902
## [449]    {230}     => {28}  0.01083240 0.72898121  0.91655245
## [450]    {28}      => {230} 0.01083240 0.01361965  0.91655245
## [451]    {230}     => {15}  0.01152027 0.77527201  0.96635018
## [452]    {15}      => {230} 0.01152027 0.01435962  0.96635018
## [453]    {230}     => {27}  0.01269611 0.85440158  1.02329597
## [454]    {27}      => {230} 0.01269611 0.01520582  1.02329597
## [455]    {230}     => {43}  0.01189948 0.80079130  0.93486385
## [456]    {43}      => {230} 0.01189948 0.01389175  0.93486385
## [457]    {230}     => {29}  0.01123219 0.75588526  0.85944870
## [458]    {29}      => {230} 0.01123219 0.01277111  0.85944870
## [459]    {230}     => {21}  0.01370733 0.92245302  1.03754996
## [460]    {21}      => {230} 0.01370733 0.01541763  1.03754996
## [461]    {230}     => {31}  0.01369557 0.92166172  0.98591147
## [462]    {31}      => {230} 0.01369557 0.01465030  0.98591147
## [463]    {230}     => {16}  0.01449220 0.97527201  0.99806554
## [464]    {16}      => {230} 0.01449220 0.01483090  0.99806554
## [465]    {230}     => {18}  0.01481262 0.99683482  1.00003320
## [466]    {18}      => {230} 0.01481262 0.01486014  1.00003320
## [467]    {230}     => {12}  0.01480674 0.99643917  0.99814684
## [468]    {12}      => {230} 0.01480674 0.01483211  0.99814684
## [469]    {230}     => {17}  0.01485965 1.00000000  1.00009408
## [470]    {17}      => {230} 0.01485965 0.01486105  1.00009408
## [471]    {155}     => {23}  0.01045320 0.69561815  1.36540786
## [472]    {23}      => {155} 0.01045320 0.02051827  1.36540786
## [473]    {155}     => {10}  0.01247858 0.83039906  1.42996965
## [474]    {10}      => {155} 0.01247858 0.02148845  1.42996965
## [475]    {155}     => {63}  0.01116458 0.74295775  1.14539965
## [476]    {63}      => {155} 0.01116458 0.01721216  1.14539965
## [477]    {155}     => {8}   0.01131156 0.75273865  1.07114458
## [478]    {8}       => {155} 0.01131156 0.01609631  1.07114458
## [479]    {155}     => {25}  0.01190536 0.79225352  1.04286270
## [480]    {25}      => {155} 0.01190536 0.01567131  1.04286270
## [481]    {155}     => {15}  0.01015042 0.67546948  0.84194973
## [482]    {15}      => {155} 0.01015042 0.01265215  0.84194973
## [483]    {155}     => {24}  0.01280781 0.85230829  1.05735612
## [484]    {24}      => {155} 0.01280781 0.01588911  1.05735612
## [485]    {155}     => {27}  0.01283133 0.85387324  1.02266318
## [486]    {27}      => {155} 0.01283133 0.01536777  1.02266318
## [487]    {155}     => {43}  0.01018275 0.67762128  0.79107208
## [488]    {43}      => {155} 0.01018275 0.01188760  0.79107208
## [489]    {155}     => {29}  0.01345746 0.89553991  1.01823735
## [490]    {29}      => {155} 0.01345746 0.01530126  1.01823735
## [491]    {155}     => {21}  0.01346334 0.89593114  1.00771888
## [492]    {21}      => {155} 0.01346334 0.01514320  1.00771888
## [493]    {155}     => {16}  0.01426879 0.94953052  0.97172243
## [494]    {16}      => {155} 0.01426879 0.01460227  0.97172243
## [495]    {155}     => {18}  0.01495960 0.99550078  0.99869489
## [496]    {18}      => {155} 0.01495960 0.01500759  0.99869489
## [497]    {155}     => {12}  0.01499193 0.99765258  0.99936234
## [498]    {12}      => {155} 0.01499193 0.01501762  0.99936234
## [499]    {155}     => {17}  0.01502427 0.99980438  0.99989844
## [500]    {17}      => {155} 0.01502427 0.01502568  0.99989844
## [501]    {164}     => {72}  0.01090883 0.81239054  4.78697173
## [502]    {72}      => {164} 0.01090883 0.06427978  4.78697173
## [503]    {164}     => {108} 0.01317820 0.98139229  4.68105685
## [504]    {108}     => {164} 0.01317820 0.06285754  4.68105685
## [505]    {164}     => {41}  0.01172310 0.87302977  1.12242349
## [506]    {41}      => {164} 0.01172310 0.01507198  1.12242349
## [507]    {164}     => {15}  0.01187302 0.88419440  1.10211823
## [508]    {15}      => {164} 0.01187302 0.01479932  1.10211823
## [509]    {164}     => {24}  0.01012690 0.75415937  0.93559458
## [510]    {24}      => {164} 0.01012690 0.01256323  0.93559458
## [511]    {164}     => {27}  0.01294303 0.96387916  1.15441460
## [512]    {27}      => {164} 0.01294303 0.01550156  1.15441460
## [513]    {164}     => {43}  0.01070894 0.79750438  0.93102662
## [514]    {43}      => {164} 0.01070894 0.01250189  0.93102662
## [515]    {164}     => {29}  0.01227869 0.91440455  1.03968664
## [516]    {29}      => {164} 0.01227869 0.01396098  1.03968664
## [517]    {164}     => {21}  0.01309883 0.97548161  1.09719507
## [518]    {21}      => {164} 0.01309883 0.01473321  1.09719507
## [519]    {164}     => {31}  0.01315174 0.97942207  1.04769833
## [520]    {31}      => {164} 0.01315174 0.01406856  1.04769833
## [521]    {164}     => {16}  0.01329578 0.99014886  1.01329008
## [522]    {16}      => {164} 0.01329578 0.01360653  1.01329008
## [523]    {164}     => {18}  0.01341631 0.99912434  1.00233007
## [524]    {18}      => {164} 0.01341631 0.01345936  1.00233007
## [525]    {164}     => {12}  0.01339867 0.99781086  0.99952088
## [526]    {12}      => {164} 0.01339867 0.01342163  0.99952088
## [527]    {164}     => {17}  0.01342807 1.00000000  1.00009408
## [528]    {17}      => {164} 0.01342807 0.01342933  1.00009408
## [529]    {154}     => {95}  0.01019451 0.68173776  3.68617337
## [530]    {95}      => {154} 0.01019451 0.05512199  3.68617337
## [531]    {154}     => {60}  0.01017688 0.68055829  1.45480249
## [532]    {60}      => {154} 0.01017688 0.02175470  1.45480249
## [533]    {154}     => {46}  0.01362502 0.91114606  1.86476955
## [534]    {46}      => {154} 0.01362502 0.02788523  1.86476955
## [535]    {154}     => {10}  0.01447162 0.96776096  1.66651055
## [536]    {10}      => {154} 0.01447162 0.02492053  1.66651055
## [537]    {154}     => {14}  0.01257264 0.84077059  1.32744153
## [538]    {14}      => {154} 0.01257264 0.01985018  1.32744153
## [539]    {154}     => {22}  0.01181717 0.79024966  1.16790989
## [540]    {22}      => {154} 0.01181717 0.01746459  1.16790989
## [541]    {154}     => {1}   0.01303416 0.87163358  1.26335693
## [542]    {1}       => {154} 0.01303416 0.01889188  1.26335693
## [543]    {154}     => {8}   0.01234924 0.82583055  1.17515410
## [544]    {8}       => {154} 0.01234924 0.01757292  1.17515410
## [545]    {154}     => {59}  0.01385431 0.92647926  1.27965965
## [546]    {59}      => {154} 0.01385431 0.01913567  1.27965965
## [547]    {154}     => {25}  0.01396307 0.93375270  1.22912154
## [548]    {25}      => {154} 0.01396307 0.01837993  1.22912154
## [549]    {154}     => {41}  0.01397483 0.93453902  1.20150375
## [550]    {41}      => {154} 0.01397483 0.01796695  1.20150375
## [551]    {154}     => {28}  0.01397483 0.93453902  1.17500153
## [552]    {28}      => {154} 0.01397483 0.01757064  1.17500153
## [553]    {154}     => {15}  0.01333694 0.89188127  1.11169965
## [554]    {15}      => {154} 0.01333694 0.01662404  1.11169965
## [555]    {154}     => {24}  0.01317526 0.88106939  1.09303654
## [556]    {24}      => {154} 0.01317526 0.01634496  1.09303654
## [557]    {154}     => {27}  0.01357799 0.90800079  1.08749043
## [558]    {27}      => {154} 0.01357799 0.01626202  1.08749043
## [559]    {154}     => {43}  0.01319584 0.88244545  1.03018895
## [560]    {43}      => {154} 0.01319584 0.01540515  1.03018895
## [561]    {154}     => {29}  0.01206116 0.80656576  0.91707290
## [562]    {29}      => {154} 0.01206116 0.01371365  0.91707290
## [563]    {154}     => {21}  0.01361620 0.91055632  1.02416888
## [564]    {21}      => {154} 0.01361620 0.01531513  1.02416888
## [565]    {154}     => {31}  0.01451572 0.97070965  1.03837857
## [566]    {31}      => {154} 0.01451572 0.01552762  1.03837857
## [567]    {154}     => {16}  0.01489786 0.99626499  1.01954916
## [568]    {16}      => {154} 0.01489786 0.01524605  1.01954916
## [569]    {154}     => {18}  0.01492432 0.99803420  1.00123644
## [570]    {18}      => {154} 0.01492432 0.01497221  1.00123644
## [571]    {154}     => {12}  0.01493902 0.99901710  1.00072919
## [572]    {12}      => {154} 0.01493902 0.01496462  1.00072919
## [573]    {154}     => {17}  0.01495372 1.00000000  1.00009408
## [574]    {17}      => {154} 0.01495372 0.01495512  1.00009408
## [575]    {76}      => {71}  0.01019157 0.75484433  7.65243796
## [576]    {71}      => {76}  0.01019157 0.10331982  7.65243796
## [577]    {76}      => {72}  0.01147618 0.84998911  5.00851948
## [578]    {72}      => {76}  0.01147618 0.06762281  5.00851948
## [579]    {76}      => {108} 0.01236099 0.91552362  4.36687567
## [580]    {108}     => {76}  0.01236099 0.05895962  4.36687567
## [581]    {76}      => {41}  0.01081477 0.80100152  1.02981932
## [582]    {41}      => {76}  0.01081477 0.01390416  1.02981932
## [583]    {76}      => {24}  0.01035325 0.76681907  0.95129995
## [584]    {24}      => {76}  0.01035325 0.01284403  0.95129995
## [585]    {76}      => {27}  0.01299889 0.96276943  1.15308550
## [586]    {27}      => {76}  0.01299889 0.01556845  1.15308550
## [587]    {76}      => {43}  0.01035031 0.76660135  0.89494965
## [588]    {43}      => {76}  0.01035031 0.01208321  0.89494965
## [589]    {76}      => {29}  0.01252561 0.92771609  1.05482198
## [590]    {29}      => {76}  0.01252561 0.01424174  1.05482198
## [591]    {76}      => {21}  0.01298713 0.96189854  1.08191721
## [592]    {21}      => {76}  0.01298713 0.01460757  1.08191721
## [593]    {76}      => {31}  0.01270199 0.94077945  1.00636190
## [594]    {31}      => {76}  0.01270199 0.01358745  1.00636190
## [595]    {76}      => {16}  0.01273138 0.94295667  0.96499495
## [596]    {16}      => {76}  0.01273138 0.01302893  0.96499495
## [597]    {76}      => {18}  0.01346334 0.99716961  1.00036906
## [598]    {18}      => {76}  0.01346334 0.01350654  1.00036906
## [599]    {76}      => {12}  0.01348980 0.99912911  1.00084139
## [600]    {12}      => {76}  0.01348980 0.01351292  1.00084139
## [601]    {76}      => {17}  0.01349862 0.99978228  0.99987633
## [602]    {17}      => {76}  0.01349862 0.01349989  0.99987633
## [603]    {110}     => {39}  0.01167607 0.81310133  1.67211690
## [604]    {39}      => {110} 0.01167607 0.02401146  1.67211690
## [605]    {110}     => {30}  0.01068836 0.74431934  1.37880314
## [606]    {30}      => {110} 0.01068836 0.01979950  1.37880314
## [607]    {110}     => {10}  0.01093235 0.76131013  1.31099664
## [608]    {10}      => {110} 0.01093235 0.01882580  1.31099664
## [609]    {110}     => {1}   0.01024449 0.71340839  1.03402331
## [610]    {1}       => {110} 0.01024449 0.01484849  1.03402331
## [611]    {110}     => {41}  0.01212583 0.84442170  1.08564310
## [612]    {41}      => {110} 0.01212583 0.01558975  1.08564310
## [613]    {110}     => {28}  0.01233748 0.85916070  1.08022790
## [614]    {28}      => {110} 0.01233748 0.01551198  1.08022790
## [615]    {110}     => {15}  0.01207879 0.84114637  1.04846032
## [616]    {15}      => {110} 0.01207879 0.01505580  1.04846032
## [617]    {110}     => {24}  0.01048553 0.73019447  0.90586422
## [618]    {24}      => {110} 0.01048553 0.01300814  0.90586422
## [619]    {110}     => {27}  0.01384549 0.96417605  1.15477017
## [620]    {27}      => {110} 0.01384549 0.01658241  1.15477017
## [621]    {110}     => {29}  0.01412475 0.98362334  1.11838905
## [622]    {29}      => {110} 0.01412475 0.01605998  1.11838905
## [623]    {110}     => {21}  0.01400423 0.97523030  1.09691240
## [624]    {21}      => {110} 0.01400423 0.01575157  1.09691240
## [625]    {110}     => {31}  0.01418060 0.98751279  1.05635307
## [626]    {31}      => {110} 0.01418060 0.01516914  1.05635307
## [627]    {110}     => {16}  0.01407478 0.98014330  1.00305067
## [628]    {16}      => {110} 0.01407478 0.01440373  1.00305067
## [629]    {110}     => {18}  0.01433052 0.99795292  1.00115489
## [630]    {18}      => {110} 0.01433052 0.01437650  1.00115489
## [631]    {110}     => {12}  0.01434228 0.99877175  1.00048342
## [632]    {12}      => {110} 0.01434228 0.01436686  1.00048342
## [633]    {110}     => {17}  0.01435992 1.00000000  1.00009408
## [634]    {17}      => {110} 0.01435992 0.01436127  1.00009408
## [635]    {179}     => {161} 0.01498605 0.96589617 16.64546392
## [636]    {161}     => {179} 0.01498605 0.25825735 16.64546392
## [637]    {179}     => {159} 0.01526237 0.98370595 16.66119198
## [638]    {159}     => {179} 0.01526237 0.25850137 16.66119198
## [639]    {179}     => {88}  0.01120279 0.72205381  6.68400312
## [640]    {88}      => {179} 0.01120279 0.10370350  6.68400312
## [641]    {179}     => {46}  0.01202000 0.77472527  1.58556807
## [642]    {46}      => {179} 0.01202000 0.02460037  1.58556807
## [643]    {179}     => {10}  0.01320760 0.85126942  1.46590897
## [644]    {10}      => {179} 0.01320760 0.02274384  1.46590897
## [645]    {179}     => {63}  0.01037383 0.66862448  1.03080188
## [646]    {63}      => {179} 0.01037383 0.01599308  1.03080188
## [647]    {179}     => {22}  0.01100584 0.70935961  1.04836249
## [648]    {22}      => {179} 0.01100584 0.01626553  1.04836249
## [649]    {179}     => {1}   0.01152321 0.74270557  1.07648702
## [650]    {1}       => {179} 0.01152321 0.01670189  1.07648702
## [651]    {179}     => {8}   0.01205234 0.77680940  1.10539716
## [652]    {8}       => {179} 0.01205234 0.01715043  1.10539716
## [653]    {179}     => {59}  0.01466270 0.94505495  1.30531652
## [654]    {59}      => {179} 0.01466270 0.02025222  1.30531652
## [655]    {179}     => {25}  0.01536232 0.99014778  1.30335576
## [656]    {25}      => {179} 0.01536232 0.02022180  1.30335576
## [657]    {179}     => {41}  0.01325757 0.85449034  1.09858799
## [658]    {41}      => {179} 0.01325757 0.01704479  1.09858799
## [659]    {179}     => {28}  0.01482731 0.95566502  1.20156338
## [660]    {28}      => {179} 0.01482731 0.01864247  1.20156338
## [661]    {179}     => {15}  0.01052669 0.67847670  0.84569811
## [662]    {15}      => {179} 0.01052669 0.01312116  0.84569811
## [663]    {179}     => {24}  0.01333106 0.85922698  1.06593929
## [664]    {24}      => {179} 0.01333106 0.01653824  1.06593929
## [665]    {179}     => {27}  0.01182305 0.76203107  0.91266606
## [666]    {27}      => {179} 0.01182305 0.01416018  0.91266606
## [667]    {179}     => {43}  0.01430407 0.92194013  1.07629603
## [668]    {43}      => {179} 0.01430407 0.01669893  1.07629603
## [669]    {179}     => {29}  0.01337221 0.86187950  0.97996515
## [670]    {29}      => {179} 0.01337221 0.01520433  0.97996515
## [671]    {179}     => {21}  0.01274020 0.82114437  0.92360076
## [672]    {21}      => {179} 0.01274020 0.01432983  0.92360076
## [673]    {179}     => {31}  0.01518888 0.97896931  1.04721401
## [674]    {31}      => {179} 0.01518888 0.01624771  1.04721401
## [675]    {179}     => {16}  0.01469209 0.94694960  0.96908120
## [676]    {16}      => {179} 0.01469209 0.01503547  0.96908120
## [677]    {179}     => {18}  0.01537996 0.99128458  0.99446515
## [678]    {18}      => {179} 0.01537996 0.01542930  0.99446515
## [679]    {179}     => {12}  0.01550048 0.99905267  1.00076482
## [680]    {12}      => {179} 0.01550048 0.01552704  1.00076482
## [681]    {179}     => {17}  0.01550930 0.99962107  0.99971511
## [682]    {17}      => {179} 0.01550930 0.01551076  0.99971511
## [683]    {116}     => {36}  0.01286660 0.69642005  4.36483706
## [684]    {36}      => {116} 0.01286660 0.08064189  4.36483706
## [685]    {116}     => {13}  0.01038853 0.56229117  3.10220397
## [686]    {13}      => {116} 0.01038853 0.05731430  3.10220397
## [687]    {116}     => {47}  0.01000932 0.54176611  1.68164260
## [688]    {47}      => {116} 0.01000932 0.03106894  1.68164260
## [689]    {116}     => {23}  0.01624714 0.87939539  1.72613863
## [690]    {23}      => {116} 0.01624714 0.03189102  1.72613863
## [691]    {116}     => {30}  0.01056490 0.57183771  1.05929214
## [692]    {30}      => {116} 0.01056490 0.01957079  1.05929214
## [693]    {116}     => {10}  0.01632945 0.88385044  1.52201436
## [694]    {10}      => {116} 0.01632945 0.02811975  1.52201436
## [695]    {116}     => {38}  0.01001814 0.54224344  0.87576734
## [696]    {38}      => {116} 0.01001814 0.01618011  0.87576734
## [697]    {116}     => {63}  0.01353389 0.73253779  1.12933545
## [698]    {63}      => {116} 0.01353389 0.02086487  1.12933545
## [699]    {116}     => {8}   0.01133214 0.61336516  0.87281656
## [700]    {8}       => {116} 0.01133214 0.01612559  0.87281656
## [701]    {116}     => {25}  0.01332518 0.72124105  0.94938725
## [702]    {25}      => {116} 0.01332518 0.01754026  0.94938725
## [703]    {116}     => {41}  0.01048259 0.56738266  0.72946381
## [704]    {41}      => {116} 0.01048259 0.01347710  0.72946381
## [705]    {116}     => {28}  0.01206116 0.65282418  0.82079977
## [706]    {28}      => {116} 0.01206116 0.01516456  0.82079977
## [707]    {116}     => {15}  0.01216992 0.65871122  0.82106112
## [708]    {15}      => {116} 0.01216992 0.01516939  0.82106112
## [709]    {116}     => {24}  0.01369557 0.74128878  0.91962760
## [710]    {24}      => {116} 0.01369557 0.01699044  0.91962760
## [711]    {116}     => {27}  0.01508894 0.81670644  0.97814942
## [712]    {27}      => {116} 0.01508894 0.01807165  0.97814942
## [713]    {116}     => {43}  0.01340749 0.72569610  0.84719583
## [714]    {43}      => {116} 0.01340749 0.01565224  0.84719583
## [715]    {116}     => {29}  0.01647055 0.89148767  1.01362992
## [716]    {29}      => {116} 0.01647055 0.01872717  1.01362992
## [717]    {116}     => {21}  0.01570919 0.85027844  0.95636997
## [718]    {21}      => {116} 0.01570919 0.01766927  0.95636997
## [719]    {116}     => {31}  0.01501839 0.81288783  0.86955486
## [720]    {31}      => {116} 0.01501839 0.01606533  0.86955486
## [721]    {116}     => {16}  0.01712902 0.92712808  0.94879642
## [722]    {16}      => {116} 0.01712902 0.01752935  0.94879642
## [723]    {116}     => {18}  0.01842538 0.99729515  1.00049501
## [724]    {18}      => {116} 0.01842538 0.01848450  1.00049501
## [725]    {116}     => {12}  0.01844889 0.99856802  1.00027934
## [726]    {12}      => {116} 0.01844889 0.01848051  1.00027934
## [727]    {116}     => {17}  0.01847535 1.00000000  1.00009408
## [728]    {17}      => {116} 0.01847535 0.01847709  1.00009408
## [729]    {32}      => {13}  0.01272844 0.68686548  3.78949011
## [730]    {13}      => {32}  0.01272844 0.07022381  3.78949011
## [731]    {32}      => {2}   0.01724366 0.93052030  5.33806389
## [732]    {2}       => {32}  0.01724366 0.09892074  5.33806389
## [733]    {32}      => {7}   0.01042968 0.56281726  2.72693543
## [734]    {7}       => {32}  0.01042968 0.05053339  2.72693543
## [735]    {32}      => {23}  0.01211995 0.65402919  1.28377413
## [736]    {23}      => {32}  0.01211995 0.02378988  1.28377413
## [737]    {32}      => {10}  0.01131156 0.61040609  1.05113580
## [738]    {10}      => {32}  0.01131156 0.01947881  1.05113580
## [739]    {32}      => {38}  0.01049141 0.56614848  0.91437593
## [740]    {38}      => {32}  0.01049141 0.01694449  0.91437593
## [741]    {32}      => {14}  0.01075304 0.58026650  0.91614747
## [742]    {14}      => {32}  0.01075304 0.01697731  0.91614747
## [743]    {32}      => {63}  0.01304886 0.70415609  1.08558009
## [744]    {63}      => {32}  0.01304886 0.02011710  1.08558009
## [745]    {32}      => {22}  0.01000932 0.54013325  0.79826288
## [746]    {22}      => {32}  0.01000932 0.01479277  0.79826288
## [747]    {32}      => {8}   0.01204058 0.64974619  0.92458665
## [748]    {8}       => {32}  0.01204058 0.01713370  0.92458665
## [749]    {32}      => {25}  0.01336046 0.72097081  0.94903153
## [750]    {25}      => {32}  0.01336046 0.01758670  0.94903153
## [751]    {32}      => {28}  0.01197003 0.64593909  0.81214309
## [752]    {28}      => {32}  0.01197003 0.01504999  0.81214309
## [753]    {32}      => {15}  0.01330460 0.71795685  0.89490879
## [754]    {15}      => {32}  0.01330460 0.01658374  0.89490879
## [755]    {32}      => {24}  0.01429231 0.77125635  0.95680474
## [756]    {24}      => {32}  0.01429231 0.01773074  0.95680474
## [757]    {32}      => {27}  0.01503896 0.81154822  0.97197154
## [758]    {27}      => {32}  0.01503896 0.01801180  0.97197154
## [759]    {32}      => {43}  0.01502427 0.81075508  0.94649581
## [760]    {43}      => {32}  0.01502427 0.01753971  0.94649581
## [761]    {32}      => {29}  0.01563570 0.84375000  0.95935174
## [762]    {29}      => {32}  0.01563570 0.01777794  0.95935174
## [763]    {32}      => {21}  0.01644703 0.88753173  0.99827144
## [764]    {21}      => {32}  0.01644703 0.01849917  0.99827144
## [765]    {32}      => {31}  0.01461566 0.78870558  0.84368686
## [766]    {31}      => {32}  0.01461566 0.01563453  0.84368686
## [767]    {32}      => {16}  0.01780806 0.96097716  0.98343660
## [768]    {16}      => {32}  0.01780806 0.01822426  0.98343660
## [769]    {32}      => {18}  0.01846065 0.99619289  0.99938922
## [770]    {18}      => {32}  0.01846065 0.01851988  0.99938922
## [771]    {32}      => {12}  0.01850475 0.99857234  1.00028366
## [772]    {12}      => {32}  0.01850475 0.01853646  1.00028366
## [773]    {32}      => {17}  0.01852826 0.99984137  0.99993543
## [774]    {17}      => {32}  0.01852826 0.01853001  0.99993543
## [775]    {40}      => {13}  0.02084172 0.99119251  5.46848590
## [776]    {13}      => {40}  0.02084172 0.11498540  5.46848590
## [777]    {40}      => {7}   0.01249328 0.59415630  2.87877785
## [778]    {7}       => {40}  0.01249328 0.06053183  2.87877785
## [779]    {40}      => {23}  0.01304298 0.62029918  1.21756651
## [780]    {23}      => {40}  0.01304298 0.02560167  1.21756651
## [781]    {40}      => {10}  0.01824018 0.86746820  1.49380370
## [782]    {10}      => {40}  0.01824018 0.03141009  1.49380370
## [783]    {40}      => {38}  0.01062957 0.50552216  0.81645948
## [784]    {38}      => {40}  0.01062957 0.01716763  0.81645948
## [785]    {40}      => {14}  0.01348392 0.64126940  1.01246123
## [786]    {14}      => {40}  0.01348392 0.02128894  1.01246123
## [787]    {40}      => {63}  0.01385431 0.65888438  1.01578582
## [788]    {63}      => {40}  0.01385431 0.02135884  1.01578582
## [789]    {40}      => {22}  0.01233748 0.58674682  0.86715307
## [790]    {22}      => {40}  0.01233748 0.01823356  0.86715307
## [791]    {40}      => {1}   0.01337221 0.63595694  0.92176418
## [792]    {1}       => {40}  0.01337221 0.01938186  0.92176418
## [793]    {40}      => {8}   0.01515949 0.72095624  1.02591831
## [794]    {8}       => {40}  0.01515949 0.02157190  1.02591831
## [795]    {40}      => {25}  0.01772575 0.84300294  1.10966540
## [796]    {25}      => {40}  0.01772575 0.02333284  1.10966540
## [797]    {40}      => {41}  0.01122043 0.53362226  0.68605925
## [798]    {41}      => {40}  0.01122043 0.01442571  0.68605925
## [799]    {40}      => {28}  0.01622068 0.77142458  0.96991676
## [800]    {28}      => {40}  0.01622068 0.02039436  0.96991676
## [801]    {40}      => {15}  0.01497429 0.71214875  0.88766918
## [802]    {15}      => {40}  0.01497429 0.01866495  0.88766918
## [803]    {40}      => {24}  0.01746413 0.83056060  1.03037638
## [804]    {24}      => {40}  0.01746413 0.02166564  1.03037638
## [805]    {40}      => {43}  0.01743179 0.82902279  0.96782200
## [806]    {43}      => {40}  0.01743179 0.02035031  0.96782200
## [807]    {40}      => {29}  0.01642645 0.78121068  0.88824394
## [808]    {29}      => {40}  0.01642645 0.01867703  0.88824394
## [809]    {40}      => {31}  0.01728481 0.82203271  0.87933724
## [810]    {31}      => {40}  0.01728481 0.01848975  0.87933724
## [811]    {40}      => {16}  0.02056834 0.97819097  1.00105272
## [812]    {16}      => {40}  0.02056834 0.02104905  1.00105272
## [813]    {40}      => {18}  0.02090639 0.99426814  0.99745829
## [814]    {18}      => {40}  0.02090639 0.02097347  0.99745829
## [815]    {40}      => {12}  0.02093579 0.99566615  0.99737250
## [816]    {12}      => {40}  0.02093579 0.02097167  0.99737250
## [817]    {40}      => {17}  0.02102692 1.00000000  1.00009408
## [818]    {17}      => {40}  0.02102692 0.02102890  1.00009408
## [819]    {3}       => {13}  0.01358093 0.70555895  3.89262342
## [820]    {13}      => {3}   0.01358093 0.07492702  3.89262342
## [821]    {3}       => {2}   0.01820785 0.94593769  5.42650795
## [822]    {2}       => {3}   0.01820785 0.10445194  5.42650795
## [823]    {3}       => {7}   0.01460684 0.75885767  3.67678110
## [824]    {7}       => {3}   0.01460684 0.07077239  3.67678110
## [825]    {3}       => {9}   0.01530353 0.79505192  3.70588842
## [826]    {9}       => {3}   0.01530353 0.07133266  3.70588842
## [827]    {3}       => {23}  0.01868700 0.97083079  1.90561442
## [828]    {23}      => {3}   0.01868700 0.03668015  1.90561442
## [829]    {3}       => {10}  0.01838716 0.95525351  1.64497239
## [830]    {10}      => {3}   0.01838716 0.03166319  1.64497239
## [831]    {3}       => {38}  0.01051787 0.54642639  0.88252315
## [832]    {38}      => {3}   0.01051787 0.01698721  0.88252315
## [833]    {3}       => {14}  0.01211995 0.62965791  0.99412856
## [834]    {14}      => {3}   0.01211995 0.01913545  0.99412856
## [835]    {3}       => {63}  0.01465976 0.76160660  1.17415012
## [836]    {63}      => {3}   0.01465976 0.02260059  1.17415012
## [837]    {3}       => {22}  0.01114694 0.57910812  0.85586384
## [838]    {22}      => {3}   0.01114694 0.01647406  0.85586384
## [839]    {3}       => {1}   0.01084710 0.56353085  0.81678887
## [840]    {1}       => {3}   0.01084710 0.01572193  0.81678887
## [841]    {3}       => {8}   0.01124983 0.58445327  0.83167504
## [842]    {8}       => {3}   0.01124983 0.01600847  0.83167504
## [843]    {3}       => {25}  0.01306944 0.67898595  0.89376583
## [844]    {25}      => {3}   0.01306944 0.01720362  0.89376583
## [845]    {3}       => {28}  0.01322230 0.68692731  0.86367783
## [846]    {28}      => {3}   0.01322230 0.01662447  0.86367783
## [847]    {3}       => {15}  0.01545051 0.80268784  1.00052308
## [848]    {15}      => {3}   0.01545051 0.01925853  1.00052308
## [849]    {3}       => {24}  0.01363384 0.70830788  0.87871217
## [850]    {24}      => {3}   0.01363384 0.01691386  0.87871217
## [851]    {3}       => {27}  0.01612661 0.83781307  1.00342831
## [852]    {27}      => {3}   0.01612661 0.01931445  1.00342831
## [853]    {3}       => {29}  0.01505660 0.78222358  0.88939562
## [854]    {29}      => {3}   0.01505660 0.01711950  0.88939562
## [855]    {3}       => {21}  0.01772575 0.92089188  1.03579403
## [856]    {21}      => {3}   0.01772575 0.01993744  1.03579403
## [857]    {3}       => {31}  0.01677920 0.87171655  0.93248458
## [858]    {31}      => {3}   0.01677920 0.01794890  0.93248458
## [859]    {3}       => {16}  0.01874873 0.97403787  0.99680256
## [860]    {16}      => {3}   0.01874873 0.01918692  0.99680256
## [861]    {3}       => {18}  0.01921319 0.99816738  1.00137004
## [862]    {18}      => {3}   0.01921319 0.01927483  1.00137004
## [863]    {3}       => {12}  0.01922495 0.99877825  1.00048993
## [864]    {12}      => {3}   0.01922495 0.01925789  1.00048993
## [865]    {3}       => {17}  0.01924258 0.99969456  0.99978861
## [866]    {17}      => {3}   0.01924258 0.01924439  0.99978861
## [867]    {113}     => {62}  0.01136447 0.62445485  2.92525270
## [868]    {62}      => {113} 0.01136447 0.05323676  2.92525270
## [869]    {113}     => {39}  0.01251679 0.68777257  1.41438232
## [870]    {39}      => {113} 0.01251679 0.02574038  1.41438232
## [871]    {113}     => {23}  0.01341925 0.73736068  1.44734301
## [872]    {23}      => {113} 0.01341925 0.02634024  1.44734301
## [873]    {113}     => {30}  0.01126746 0.61912454  1.14688791
## [874]    {30}      => {113} 0.01126746 0.02087225  1.14688791
## [875]    {113}     => {10}  0.01513597 0.83169116  1.43219468
## [876]    {10}      => {113} 0.01513597 0.02606455  1.43219468
## [877]    {113}     => {38}  0.01011514 0.55580682  0.89767330
## [878]    {38}      => {113} 0.01011514 0.01633678  0.89767330
## [879]    {113}     => {14}  0.01028270 0.56501373  0.89206580
## [880]    {14}      => {113} 0.01028270 0.01623473  0.89206580
## [881]    {113}     => {22}  0.01434816 0.78840252  1.16518001
## [882]    {22}      => {113} 0.01434816 0.02120514  1.16518001
## [883]    {113}     => {1}   0.01440401 0.79147149  1.14716897
## [884]    {1}       => {113} 0.01440401 0.02087736  1.14716897
## [885]    {113}     => {8}   0.01102642 0.60587950  0.86216450
## [886]    {8}       => {113} 0.01102642 0.01569056  0.86216450
## [887]    {113}     => {25}  0.01111461 0.61072525  0.80391259
## [888]    {25}      => {113} 0.01111461 0.01463043  0.80391259
## [889]    {113}     => {41}  0.01661165 0.91277661  1.17352459
## [890]    {41}      => {113} 0.01661165 0.02135701  1.17352459
## [891]    {113}     => {28}  0.01485083 0.81602326  1.02599095
## [892]    {28}      => {113} 0.01485083 0.01867204  1.02599095
## [893]    {113}     => {15}  0.01630593 0.89597803  1.11680613
## [894]    {15}      => {113} 0.01630593 0.02032479  1.11680613
## [895]    {113}     => {24}  0.01273138 0.69956388  0.86786454
## [896]    {24}      => {113} 0.01273138 0.01579429  0.86786454
## [897]    {113}     => {27}  0.01653228 0.90841544  1.08798705
## [898]    {27}      => {113} 0.01653228 0.01980031  1.08798705
## [899]    {113}     => {29}  0.01695264 0.93151349  1.05913966
## [900]    {29}      => {113} 0.01695264 0.01927531  1.05913966
## [901]    {113}     => {21}  0.01766696 0.97076401  1.09188885
## [902]    {21}      => {113} 0.01766696 0.01987132  1.09188885
## [903]    {113}     => {31}  0.01799032 0.98853174  1.05744305
## [904]    {31}      => {113} 0.01799032 0.01924444  1.05744305
## [905]    {113}     => {16}  0.01797856 0.98788564  1.01097397
## [906]    {16}      => {113} 0.01797856 0.01839874  1.01097397
## [907]    {113}     => {18}  0.01816963 0.99838475  1.00158811
## [908]    {18}      => {113} 0.01816963 0.01822793  1.00158811
## [909]    {113}     => {12}  0.01817845 0.99886933  1.00058116
## [910]    {12}      => {113} 0.01817845 0.01820960  1.00058116
## [911]    {113}     => {17}  0.01819609 0.99983848  0.99993254
## [912]    {17}      => {113} 0.01819609 0.01819780  0.99993254
## [913]    {186}     => {57}  0.01147912 0.63703100  9.38776274
## [914]    {57}      => {186} 0.01147912 0.16916479  9.38776274
## [915]    {186}     => {56}  0.01320466 0.73278956  1.98250810
## [916]    {56}      => {186} 0.01320466 0.03572423  1.98250810
## [917]    {186}     => {53}  0.01361620 0.75562806  1.79315126
## [918]    {53}      => {186} 0.01361620 0.03231207  1.79315126
## [919]    {186}     => {80}  0.01113812 0.61810767  1.47418039
## [920]    {80}      => {186} 0.01113812 0.02656431  1.47418039
## [921]    {186}     => {60}  0.01043262 0.57895595  1.23761121
## [922]    {60}      => {186} 0.01043262 0.02230140  1.23761121
## [923]    {186}     => {26}  0.01135859 0.63034258  1.32789104
## [924]    {26}      => {186} 0.01135859 0.02392822  1.32789104
## [925]    {186}     => {38}  0.01178483 0.65399674  1.05625803
## [926]    {38}      => {186} 0.01178483 0.01903347  1.05625803
## [927]    {186}     => {14}  0.01376024 0.76362153  1.20563558
## [928]    {14}      => {186} 0.01376024 0.02172521  1.20563558
## [929]    {186}     => {22}  0.01428349 0.79265905  1.17147074
## [930]    {22}      => {186} 0.01428349 0.02110957  1.17147074
## [931]    {186}     => {1}   0.01450690 0.80505710  1.16686012
## [932]    {1}       => {186} 0.01450690 0.02102648  1.16686012
## [933]    {186}     => {8}   0.01471855 0.81680261  1.16230737
## [934]    {8}       => {186} 0.01471855 0.02094445  1.16230737
## [935]    {186}     => {59}  0.01675863 0.93001631  1.28454505
## [936]    {59}      => {186} 0.01675863 0.02314713  1.28454505
## [937]    {186}     => {25}  0.01710256 0.94910277  1.24932721
## [938]    {25}      => {186} 0.01710256 0.02251252  1.24932721
## [939]    {186}     => {41}  0.01548284 0.85921697  1.10466485
## [940]    {41}      => {186} 0.01548284 0.01990574  1.10466485
## [941]    {186}     => {28}  0.01602667 0.88939641  1.11824345
## [942]    {28}      => {186} 0.01602667 0.02015043  1.11824345
## [943]    {186}     => {15}  0.01506248 0.83588907  1.04190728
## [944]    {15}      => {186} 0.01506248 0.01877487  1.04190728
## [945]    {186}     => {24}  0.01569743 0.87112561  1.08070049
## [946]    {24}      => {186} 0.01569743 0.01947391  1.08070049
## [947]    {186}     => {27}  0.01369557 0.76003263  0.91027257
## [948]    {27}      => {186} 0.01369557 0.01640285  0.91027257
## [949]    {186}     => {43}  0.01699967 0.94339315  1.10134083
## [950]    {43}      => {186} 0.01699967 0.01984585  1.10134083
## [951]    {186}     => {29}  0.01550930 0.86068515  0.97860717
## [952]    {29}      => {186} 0.01550930 0.01763422  0.97860717
## [953]    {186}     => {21}  0.01459509 0.80995106  0.91101083
## [954]    {21}      => {186} 0.01459509 0.01641615  0.91101083
## [955]    {186}     => {31}  0.01754644 0.97373573  1.04161559
## [956]    {31}      => {186} 0.01754644 0.01876961  1.04161559
## [957]    {186}     => {16}  0.01788155 0.99233279  1.01552505
## [958]    {16}      => {186} 0.01788155 0.01829947  1.01552505
## [959]    {186}     => {18}  0.01799032 0.99836868  1.00157198
## [960]    {18}      => {186} 0.01799032 0.01804804  1.00157198
## [961]    {186}     => {12}  0.01799620 0.99869494  1.00040648
## [962]    {12}      => {186} 0.01799620 0.01802704  1.00040648
## [963]    {186}     => {17}  0.01801971 1.00000000  1.00009408
## [964]    {17}      => {186} 0.01801971 0.01802141  1.00009408
## [965]    {162}     => {13}  0.01387782 0.67442857  3.72087471
## [966]    {13}      => {162} 0.01387782 0.07656503  3.72087471
## [967]    {162}     => {2}   0.02033905 0.98842857  5.67026301
## [968]    {2}       => {162} 0.02033905 0.11667791  5.67026301
## [969]    {162}     => {7}   0.01346922 0.65457143  3.17149837
## [970]    {7}       => {162} 0.01346922 0.06526043  3.17149837
## [971]    {162}     => {33}  0.01031210 0.50114286  2.12988532
## [972]    {33}      => {162} 0.01031210 0.04382699  2.12988532
## [973]    {162}     => {47}  0.01032386 0.50171429  1.55732169
## [974]    {47}      => {162} 0.01032386 0.03204526  1.55732169
## [975]    {162}     => {46}  0.01236099 0.60071429  1.22943374
## [976]    {46}      => {162} 0.01236099 0.02529825  1.22943374
## [977]    {162}     => {30}  0.01227869 0.59671429  1.10537438
## [978]    {30}      => {162} 0.01227869 0.02274547  1.10537438
## [979]    {162}     => {10}  0.01473325 0.71600000  1.23297137
## [980]    {10}      => {162} 0.01473325 0.02537105  1.23297137
## [981]    {162}     => {38}  0.01126453 0.54742857  0.88414176
## [982]    {38}      => {162} 0.01126453 0.01819313  0.88414176
## [983]    {162}     => {14}  0.01154967 0.56128571  0.88617986
## [984]    {14}      => {162} 0.01154967 0.01823506  0.88617986
## [985]    {162}     => {63}  0.01470973 0.71485714  1.10207764
## [986]    {63}      => {162} 0.01470973 0.02267763  1.10207764
## [987]    {162}     => {22}  0.01022391 0.49685714  0.73430512
## [988]    {22}      => {162} 0.01022391 0.01510991  0.73430512
## [989]    {162}     => {8}   0.01346040 0.65414286  0.93084309
## [990]    {8}       => {162} 0.01346040 0.01915411  0.93084309
## [991]    {162}     => {25}  0.01514479 0.73600000  0.96881482
## [992]    {25}      => {162} 0.01514479 0.01993546  0.96881482
## [993]    {162}     => {28}  0.01254913 0.60985714  0.76677705
## [994]    {28}      => {162} 0.01254913 0.01577809  0.76677705
## [995]    {162}     => {15}  0.01437756 0.69871429  0.87092358
## [996]    {15}      => {162} 0.01437756 0.01792113  0.87092358
## [997]    {162}     => {24}  0.01635002 0.79457143  0.98572895
## [998]    {24}      => {162} 0.01635002 0.02028350  0.98572895
## [999]    {162}     => {27}  0.01784334 0.86714286  1.03855588
## [1000]   {27}      => {162} 0.01784334 0.02137053  1.03855588
## [1001]   {162}     => {43}  0.01917203 0.93171429  1.08770663
## [1002]   {43}      => {162} 0.01917203 0.02238191  1.08770663
## [1003]   {162}     => {29}  0.01748765 0.84985714  0.96629562
## [1004]   {29}      => {162} 0.01748765 0.01988362  0.96629562
## [1005]   {162}     => {21}  0.01928668 0.93728571  1.05423337
## [1006]   {21}      => {162} 0.01928668 0.02169313  1.05423337
## [1007]   {162}     => {31}  0.01555633 0.75600000  0.80870134
## [1008]   {31}      => {162} 0.01555633 0.01664078  0.80870134
## [1009]   {162}     => {16}  0.01958358 0.95171429  0.97395724
## [1010]   {16}      => {162} 0.01958358 0.02004127  0.97395724
## [1011]   {162}     => {18}  0.02049191 0.99585714  0.99905239
## [1012]   {18}      => {162} 0.02049191 0.02055766  0.99905239
## [1013]   {162}     => {12}  0.02038609 0.99071429  0.99241215
## [1014]   {12}      => {162} 0.02038609 0.02042102  0.99241215
## [1015]   {162}     => {17}  0.02056834 0.99957143  0.99966546
## [1016]   {17}      => {162} 0.02056834 0.02057028  0.99966546
## [1017]   {114}     => {23}  0.01146736 0.56259014  1.10429118
## [1018]   {23}      => {114} 0.01146736 0.02250893  1.10429118
## [1019]   {114}     => {30}  0.01045908 0.51312374  0.95052833
## [1020]   {30}      => {114} 0.01045908 0.01937476  0.95052833
## [1021]   {114}     => {10}  0.01652640 0.81078742  1.39619788
## [1022]   {10}      => {114} 0.01652640 0.02845891  1.39619788
## [1023]   {114}     => {38}  0.01160258 0.56922411  0.91934333
## [1024]   {38}      => {114} 0.01160258 0.01873911  0.91934333
## [1025]   {114}     => {14}  0.01394544 0.68416498  1.08018647
## [1026]   {14}      => {114} 0.01394544 0.02201760  1.08018647
## [1027]   {114}     => {63}  0.01446280 0.70954716  1.09389137
## [1028]   {63}      => {114} 0.01446280 0.02229695  1.09389137
## [1029]   {114}     => {22}  0.01447162 0.70997981  1.04927909
## [1030]   {22}      => {114} 0.01447162 0.02138761  1.04927909
## [1031]   {114}     => {1}   0.01438050 0.70550909  1.02257395
## [1032]   {1}       => {114} 0.01438050 0.02084327  1.02257395
## [1033]   {114}     => {8}   0.01545345 0.75814825  1.07884242
## [1034]   {8}       => {114} 0.01545345 0.02199020  1.07884242
## [1035]   {114}     => {59}  0.01420706 0.69700029  0.96270169
## [1036]   {59}      => {114} 0.01420706 0.01962289  0.96270169
## [1037]   {114}     => {25}  0.01600021 0.78497260  1.03327865
## [1038]   {25}      => {114} 0.01600021 0.02106147  1.03327865
## [1039]   {114}     => {41}  0.01005929 0.49351024  0.63448865
## [1040]   {41}      => {114} 0.01005929 0.01293288  0.63448865
## [1041]   {114}     => {28}  0.01714077 0.84092876  1.05730478
## [1042]   {28}      => {114} 0.01714077 0.02155120  1.05730478
## [1043]   {114}     => {15}  0.01686151 0.82722815  1.03111174
## [1044]   {15}      => {114} 0.01686151 0.02101730  1.03111174
## [1045]   {114}     => {24}  0.01712020 0.83991924  1.04198651
## [1046]   {24}      => {114} 0.01712020 0.02123896  1.04198651
## [1047]   {114}     => {27}  0.01591790 0.78093453  0.93530626
## [1048]   {27}      => {114} 0.01591790 0.01906448  0.93530626
## [1049]   {114}     => {43}  0.01470385 0.72137294  0.84214887
## [1050]   {43}      => {114} 0.01470385 0.01716564  0.84214887
## [1051]   {114}     => {29}  0.01816669 0.89126046  1.01337158
## [1052]   {29}      => {114} 0.01816669 0.02065570  1.01337158
## [1053]   {114}     => {21}  0.01673805 0.82117104  0.92363076
## [1054]   {21}      => {114} 0.01673805 0.01882650  0.92363076
## [1055]   {114}     => {31}  0.01919555 0.94173637  1.00738554
## [1056]   {31}      => {114} 0.01919555 0.02053369  1.00738554
## [1057]   {114}     => {16}  0.01988048 0.97533891  0.99813400
## [1058]   {16}      => {114} 0.01988048 0.02034511  0.99813400
## [1059]   {114}     => {18}  0.02032435 0.99711566  1.00031495
## [1060]   {18}      => {114} 0.02032435 0.02038957  1.00031495
## [1061]   {114}     => {12}  0.02033905 0.99783675  0.99954682
## [1062]   {12}      => {114} 0.02033905 0.02037391  0.99954682
## [1063]   {114}     => {17}  0.02038315 1.00000000  1.00009408
## [1064]   {17}      => {114} 0.02038315 0.02038506  1.00009408
## [1065]   {134}     => {13}  0.01272844 0.60323210  3.32807825
## [1066]   {13}      => {134} 0.01272844 0.07022381  3.32807825
## [1067]   {134}     => {7}   0.01285191 0.60908331  2.95110150
## [1068]   {7}       => {134} 0.01285191 0.06226944  2.95110150
## [1069]   {134}     => {23}  0.01505660 0.71356924  1.40064350
## [1070]   {23}      => {134} 0.01505660 0.02955415  1.40064350
## [1071]   {134}     => {30}  0.01055902 0.50041794  0.92699167
## [1072]   {30}      => {134} 0.01055902 0.01955990  0.92699167
## [1073]   {134}     => {10}  0.01770518 0.83909167  1.44493855
## [1074]   {10}      => {134} 0.01770518 0.03048879  1.44493855
## [1075]   {134}     => {38}  0.01184656 0.56143773  0.90676768
## [1076]   {38}      => {134} 0.01184656 0.01913317  0.90676768
## [1077]   {134}     => {14}  0.01342219 0.63611034  1.00431591
## [1078]   {14}      => {134} 0.01342219 0.02119148  1.00431591
## [1079]   {134}     => {63}  0.01515361 0.71816662  1.10717978
## [1080]   {63}      => {134} 0.01515361 0.02336194  1.10717978
## [1081]   {134}     => {22}  0.01378082 0.65310671  0.96522635
## [1082]   {22}      => {134} 0.01378082 0.02036667  0.96522635
## [1083]   {134}     => {1}   0.01176132 0.55739760  0.80789926
## [1084]   {1}       => {134} 0.01176132 0.01704700  0.80789926
## [1085]   {134}     => {25}  0.01602373 0.75940373  0.99962172
## [1086]   {25}      => {134} 0.01602373 0.02109243  0.99962172
## [1087]   {134}     => {41}  0.01256089 0.59529117  0.76534479
## [1088]   {41}      => {134} 0.01256089 0.01614909  0.76534479
## [1089]   {134}     => {28}  0.01626478 0.77082753  0.96916608
## [1090]   {28}      => {134} 0.01626478 0.02044980  0.96916608
## [1091]   {134}     => {15}  0.01632945 0.77389245  0.96463060
## [1092]   {15}      => {134} 0.01632945 0.02035410  0.96463060
## [1093]   {134}     => {24}  0.01065015 0.50473670  0.62616595
## [1094]   {24}      => {134} 0.01065015 0.01321236  0.62616595
## [1095]   {134}     => {27}  0.01439813 0.68236278  0.81724928
## [1096]   {27}      => {134} 0.01439813 0.01724429  0.81724928
## [1097]   {134}     => {43}  0.01728481 0.81916969  0.95631924
## [1098]   {43}      => {134} 0.01728481 0.02017873  0.95631924
## [1099]   {134}     => {29}  0.01604725 0.76051825  0.86471645
## [1100]   {29}      => {134} 0.01604725 0.01824587  0.86471645
## [1101]   {134}     => {21}  0.01674393 0.79353580  0.89254740
## [1102]   {21}      => {134} 0.01674393 0.01883311  0.89254740
## [1103]   {134}     => {31}  0.01943072 0.92086932  0.98506383
## [1104]   {31}      => {134} 0.01943072 0.02078525  0.98506383
## [1105]   {134}     => {16}  0.02053013 0.97297297  0.99571277
## [1106]   {16}      => {134} 0.02053013 0.02100995  0.99571277
## [1107]   {134}     => {18}  0.02103280 0.99679576  0.99999402
## [1108]   {18}      => {134} 0.02103280 0.02110028  0.99999402
## [1109]   {134}     => {12}  0.02102398 0.99637782  0.99808539
## [1110]   {12}      => {134} 0.02102398 0.02106001  0.99808539
## [1111]   {134}     => {17}  0.02110041 1.00000000  1.00009408
## [1112]   {17}      => {134} 0.02110041 0.02110239  1.00009408
## [1113]   {79}      => {77}  0.01639118 0.77822749  4.82520621
## [1114]   {77}      => {79}  0.01639118 0.10162942  4.82520621
## [1115]   {79}      => {26}  0.01000050 0.47480809  1.00023930
## [1116]   {26}      => {79}  0.01000050 0.02106723  1.00023930
## [1117]   {79}      => {23}  0.01535938 0.72923936  1.43140190
## [1118]   {23}      => {79}  0.01535938 0.03014846  1.43140190
## [1119]   {79}      => {30}  0.01086768 0.51598046  0.95582022
## [1120]   {30}      => {79}  0.01086768 0.02013167  0.95582022
## [1121]   {79}      => {10}  0.01514185 0.71891137  1.23798484
## [1122]   {10}      => {79}  0.01514185 0.02607468  1.23798484
## [1123]   {79}      => {38}  0.01312235 0.62302861  1.00624198
## [1124]   {38}      => {79}  0.01312235 0.02119366  1.00624198
## [1125]   {79}      => {63}  0.01466858 0.69644103  1.07368597
## [1126]   {63}      => {79}  0.01466858 0.02261418  1.07368597
## [1127]   {79}      => {22}  0.01179953 0.56022331  0.82795397
## [1128]   {22}      => {79}  0.01179953 0.01743853  0.82795397
## [1129]   {79}      => {1}   0.01050611 0.49881368  0.72298697
## [1130]   {1}       => {79}  0.01050611 0.01522769  0.72298697
## [1131]   {79}      => {8}   0.01483613 0.70439637  1.00235367
## [1132]   {8}       => {79}  0.01483613 0.02111177  1.00235367
## [1133]   {79}      => {59}  0.01090883 0.51793440  0.71537463
## [1134]   {59}      => {79}  0.01090883 0.01506736  0.71537463
## [1135]   {79}      => {25}  0.01575035 0.74780181  0.98434983
## [1136]   {25}      => {79}  0.01575035 0.02073257  0.98434983
## [1137]   {79}      => {41}  0.01379552 0.65498953  0.84209686
## [1138]   {41}      => {79}  0.01379552 0.01773641  0.84209686
## [1139]   {79}      => {28}  0.01978053 0.93914864  1.18079723
## [1140]   {28}      => {79}  0.01978053 0.02487018  1.18079723
## [1141]   {79}      => {15}  0.01624126 0.77110956  0.96116183
## [1142]   {15}      => {79}  0.01624126 0.02024418  0.96116183
## [1143]   {79}      => {24}  0.01717017 0.81521284  1.01133626
## [1144]   {24}      => {79}  0.01717017 0.02130096  1.01133626
## [1145]   {79}      => {27}  0.01626478 0.77222610  0.92487639
## [1146]   {27}      => {79}  0.01626478 0.01947993  0.92487639
## [1147]   {79}      => {43}  0.01684681 0.79986043  0.93377713
## [1148]   {43}      => {79}  0.01684681 0.01966739  0.93377713
## [1149]   {79}      => {29}  0.01960121 0.93063503  1.05814084
## [1150]   {29}      => {79}  0.01960121 0.02228677  1.05814084
## [1151]   {79}      => {21}  0.01919261 0.91123517  1.02493243
## [1152]   {21}      => {79}  0.01919261 0.02158732  1.02493243
## [1153]   {79}      => {31}  0.01589145 0.75450105  0.80709789
## [1154]   {31}      => {79}  0.01589145 0.01699925  0.80709789
## [1155]   {79}      => {18}  0.02030672 0.96413119  0.96722465
## [1156]   {18}      => {79}  0.02030672 0.02037187  0.96722465
## [1157]   {79}      => {12}  0.02027732 0.96273552  0.96438543
## [1158]   {12}      => {79}  0.02027732 0.02031207  0.96438543
## [1159]   {79}      => {17}  0.02106219 1.00000000  1.00009408
## [1160]   {17}      => {79}  0.02106219 0.02106417  1.00009408
## [1161]   {91}      => {13}  0.01704671 0.75331255  4.15608373
## [1162]   {13}      => {91}  0.01704671 0.09404801  4.15608373
## [1163]   {91}      => {2}   0.01743767 0.77058976  4.42059928
## [1164]   {2}       => {91}  0.01743767 0.10003373  4.42059928
## [1165]   {91}      => {7}   0.01154673 0.51026241  2.47229916
## [1166]   {7}       => {91}  0.01154673 0.05594565  2.47229916
## [1167]   {91}      => {47}  0.01005929 0.44453105  1.37982486
## [1168]   {47}      => {91}  0.01005929 0.03122405  1.37982486
## [1169]   {91}      => {23}  0.01295185 0.57235646  1.12346120
## [1170]   {23}      => {91}  0.01295185 0.02542280  1.12346120
## [1171]   {91}      => {30}  0.01131156 0.49987010  0.92597682
## [1172]   {30}      => {91}  0.01131156 0.02095393  0.92597682
## [1173]   {91}      => {10}  0.01822842 0.80553390  1.38715118
## [1174]   {10}      => {91}  0.01822842 0.03138984  1.38715118
## [1175]   {91}      => {38}  0.01222577 0.54027020  0.87258040
## [1176]   {38}      => {91}  0.01222577 0.01974562  0.87258040
## [1177]   {91}      => {14}  0.01416590 0.62600676  0.98836398
## [1178]   {14}      => {91}  0.01416590 0.02236569  0.98836398
## [1179]   {91}      => {63}  0.01642939 0.72603274  1.11930677
## [1180]   {63}      => {91}  0.01642939 0.02532879  1.11930677
## [1181]   {91}      => {22}  0.01252855 0.55365030  0.81823972
## [1182]   {22}      => {91}  0.01252855 0.01851594  0.81823972
## [1183]   {91}      => {1}   0.01143796 0.50545596  0.73261438
## [1184]   {1}       => {91}  0.01143796 0.01657833  0.73261438
## [1185]   {91}      => {8}   0.01532410 0.67718888  0.96363750
## [1186]   {8}       => {91}  0.01532410 0.02180615  0.96363750
## [1187]   {91}      => {25}  0.01789331 0.79072486  1.04085049
## [1188]   {25}      => {91}  0.01789331 0.02355340  1.04085049
## [1189]   {91}      => {41}  0.01163785 0.51428943  0.66120372
## [1190]   {41}      => {91}  0.01163785 0.01496238  0.66120372
## [1191]   {91}      => {28}  0.01531529 0.67679917  0.85094366
## [1192]   {28}      => {91}  0.01531529 0.01925600  0.85094366
## [1193]   {91}      => {15}  0.01674393 0.73993245  0.92230062
## [1194]   {15}      => {91}  0.01674393 0.02087074  0.92230062
## [1195]   {91}      => {24}  0.01803147 0.79683035  0.98853131
## [1196]   {24}      => {91}  0.01803147 0.02236947  0.98853131
## [1197]   {91}      => {27}  0.01485083 0.65627436  0.78600381
## [1198]   {27}      => {91}  0.01485083 0.01778648  0.78600381
## [1199]   {91}      => {43}  0.01917791 0.84749286  0.98938442
## [1200]   {43}      => {91}  0.01917791 0.02238878  0.98938442
## [1201]   {91}      => {29}  0.01866936 0.82501949  0.93805497
## [1202]   {29}      => {91}  0.01866936 0.02122724  0.93805497
## [1203]   {91}      => {21}  0.01712020 0.75656015  0.85095819
## [1204]   {21}      => {91}  0.01712020 0.01925633  0.85095819
## [1205]   {91}      => {31}  0.01804323 0.79734996  0.85293384
## [1206]   {31}      => {91}  0.01804323 0.01930104  0.85293384
## [1207]   {91}      => {16}  0.02182649 0.96453624  0.98707886
## [1208]   {16}      => {91}  0.02182649 0.02233660  0.98707886
## [1209]   {91}      => {18}  0.02253787 0.99597298  0.99916860
## [1210]   {18}      => {91}  0.02253787 0.02261018  0.99916860
## [1211]   {91}      => {12}  0.02251141 0.99480385  0.99650872
## [1212]   {12}      => {91}  0.02251141 0.02254999  0.99650872
## [1213]   {91}      => {17}  0.02262900 1.00000000  1.00009408
## [1214]   {17}      => {91}  0.02262900 0.02263113  1.00009408
## [1215]   {104}     => {103} 0.01177308 0.54623568 16.71043993
## [1216]   {103}     => {104} 0.01177308 0.36016187 16.71043993
## [1217]   {104}     => {39}  0.01077949 0.50013639  1.02851450
## [1218]   {39}      => {104} 0.01077949 0.02216768  1.02851450
## [1219]   {104}     => {23}  0.01230220 0.57078560  1.12037780
## [1220]   {23}      => {104} 0.01230220 0.02414762  1.12037780
## [1221]   {104}     => {30}  0.01252267 0.58101473  1.07629197
## [1222]   {30}      => {104} 0.01252267 0.02319743  1.07629197
## [1223]   {104}     => {10}  0.01509188 0.70021822  1.20579472
## [1224]   {10}      => {104} 0.01509188 0.02598862  1.20579472
## [1225]   {104}     => {38}  0.01299007 0.60270049  0.97341041
## [1226]   {38}      => {104} 0.01299007 0.02098002  0.97341041
## [1227]   {104}     => {14}  0.01388664 0.64429896  1.01724443
## [1228]   {14}      => {104} 0.01388664 0.02192478  1.01724443
## [1229]   {104}     => {63}  0.01488317 0.69053464  1.06458024
## [1230]   {63}      => {104} 0.01488317 0.02294501  1.06458024
## [1231]   {104}     => {22}  0.01511245 0.70117294  1.03626342
## [1232]   {22}      => {104} 0.01511245 0.02233469  1.03626342
## [1233]   {104}     => {1}   0.01592378 0.73881615  1.07084964
## [1234]   {1}       => {104} 0.01592378 0.02308013  1.07084964
## [1235]   {104}     => {8}   0.01670277 0.77495908  1.10276417
## [1236]   {8}       => {104} 0.01670277 0.02376799  1.10276417
## [1237]   {104}     => {59}  0.01841950 0.85460993  1.18039323
## [1238]   {59}      => {104} 0.01841950 0.02544114  1.18039323
## [1239]   {104}     => {25}  0.01602667 0.74358974  0.97880538
## [1240]   {25}      => {104} 0.01602667 0.02109630  0.97880538
## [1241]   {104}     => {41}  0.01468621 0.68139662  0.87604752
## [1242]   {41}      => {104} 0.01468621 0.01888154  0.87604752
## [1243]   {104}     => {28}  0.01716723 0.79650846  1.00145487
## [1244]   {28}      => {104} 0.01716723 0.02158446  1.00145487
## [1245]   {104}     => {15}  0.01725248 0.80046372  0.99775079
## [1246]   {15}      => {104} 0.01725248 0.02150463  0.99775079
## [1247]   {104}     => {24}  0.01855178 0.86074741  1.06782551
## [1248]   {24}      => {104} 0.01855178 0.02301496  1.06782551
## [1249]   {104}     => {27}  0.01738182 0.80646481  0.96588327
## [1250]   {27}      => {104} 0.01738182 0.02081778  0.96588327
## [1251]   {104}     => {43}  0.01763463 0.81819422  0.95518045
## [1252]   {43}      => {104} 0.01763463 0.02058710  0.95518045
## [1253]   {104}     => {29}  0.01993927 0.92512275  1.05187333
## [1254]   {29}      => {104} 0.01993927 0.02267114  1.05187333
## [1255]   {104}     => {21}  0.01845183 0.85611020  0.96292937
## [1256]   {21}      => {104} 0.01845183 0.02075412  0.96292937
## [1257]   {104}     => {31}  0.02094461 0.97176759  1.03951026
## [1258]   {31}      => {104} 0.02094461 0.02240467  1.03951026
## [1259]   {104}     => {16}  0.02100928 0.97476814  0.99754989
## [1260]   {16}      => {104} 0.02100928 0.02150030  0.99754989
## [1261]   {104}     => {18}  0.02150313 0.99768140  1.00088250
## [1262]   {18}      => {104} 0.02150313 0.02157213  1.00088250
## [1263]   {104}     => {12}  0.02151489 0.99822695  0.99993769
## [1264]   {12}      => {104} 0.02151489 0.02155176  0.99993769
## [1265]   {104}     => {17}  0.02155311 1.00000000  1.00009408
## [1266]   {17}      => {104} 0.02155311 0.02155513  1.00009408
## [1267]   {112}     => {73}  0.01462448 0.69531796 18.20482948
## [1268]   {73}      => {112} 0.01462448 0.38289848 18.20482948
## [1269]   {112}     => {77}  0.01338103 0.63619846  3.94459049
## [1270]   {77}      => {112} 0.01338103 0.08296577  3.94459049
## [1271]   {112}     => {72}  0.01010633 0.48050314  2.83134139
## [1272]   {72}      => {112} 0.01010633 0.05955103  2.83134139
## [1273]   {112}     => {125} 0.01066779 0.50719776  2.81472874
## [1274]   {125}     => {112} 0.01066779 0.05920162  2.81472874
## [1275]   {112}     => {26}  0.01190242 0.56589797  1.19213088
## [1276]   {26}      => {112} 0.01190242 0.02507385  1.19213088
## [1277]   {112}     => {39}  0.01022097 0.48595388  0.99934862
## [1278]   {39}      => {112} 0.01022097 0.02101910  0.99934862
## [1279]   {112}     => {23}  0.01553282 0.73850454  1.44958825
## [1280]   {23}      => {112} 0.01553282 0.03048890  1.44958825
## [1281]   {112}     => {30}  0.01314587 0.62501747  1.15780418
## [1282]   {30}      => {112} 0.01314587 0.02435186  1.15780418
## [1283]   {112}     => {10}  0.01243448 0.59119497  1.01805373
## [1284]   {10}      => {112} 0.01243448 0.02141252  1.01805373
## [1285]   {112}     => {38}  0.01410123 0.67044025  1.08281564
## [1286]   {38}      => {112} 0.01410123 0.02277464  1.08281564
## [1287]   {112}     => {63}  0.01525355 0.72522711  1.11806477
## [1288]   {63}      => {112} 0.01525355 0.02351603  1.11806477
## [1289]   {112}     => {22}  0.01128510 0.53654787  0.79296404
## [1290]   {22}      => {112} 0.01128510 0.01667825  0.79296404
## [1291]   {112}     => {1}   0.01172310 0.55737247  0.80786283
## [1292]   {1}       => {112} 0.01172310 0.01699161  0.80786283
## [1293]   {112}     => {8}   0.01436286 0.68287911  0.97173467
## [1294]   {8}       => {112} 0.01436286 0.02043830  0.97173467
## [1295]   {112}     => {59}  0.01331048 0.63284416  0.87408880
## [1296]   {59}      => {112} 0.01331048 0.01838453  0.87408880
## [1297]   {112}     => {41}  0.01620010 0.77023061  0.99025824
## [1298]   {41}      => {112} 0.01620010 0.02082790  0.99025824
## [1299]   {112}     => {28}  0.01528001 0.72648498  0.91341392
## [1300]   {28}      => {112} 0.01528001 0.01921165  0.91341392
## [1301]   {112}     => {24}  0.01682330 0.79986024  0.99229014
## [1302]   {24}      => {112} 0.01682330 0.02087064  0.99229014
## [1303]   {112}     => {27}  0.01836071 0.87295597  1.04551811
## [1304]   {27}      => {112} 0.01836071 0.02199017  1.04551811
## [1305]   {112}     => {43}  0.01746413 0.83032844  0.96934625
## [1306]   {43}      => {112} 0.01746413 0.02038806  0.96934625
## [1307]   {112}     => {29}  0.01940720 0.92271139  1.04913159
## [1308]   {29}      => {112} 0.01940720 0.02206617  1.04913159
## [1309]   {112}     => {21}  0.01948363 0.92634521  1.04192779
## [1310]   {21}      => {112} 0.01948363 0.02191466  1.04192779
## [1311]   {112}     => {31}  0.01898390 0.90258560  0.96550554
## [1312]   {31}      => {112} 0.01898390 0.02030728  0.96550554
## [1313]   {112}     => {16}  0.01992751 0.94744934  0.96959261
## [1314]   {16}      => {112} 0.01992751 0.02039324  0.96959261
## [1315]   {112}     => {18}  0.02097401 0.99720475  1.00040432
## [1316]   {18}      => {112} 0.02097401 0.02104130  1.00040432
## [1317]   {112}     => {12}  0.02098576 0.99776380  0.99947375
## [1318]   {12}      => {112} 0.02098576 0.02102173  0.99947375
## [1319]   {112}     => {17}  0.02103280 1.00000000  1.00009408
## [1320]   {17}      => {112} 0.02103280 0.02103478  1.00009408
## [1321]   {92}      => {100} 0.01676451 0.77581281 10.22028156
## [1322]   {100}     => {92}  0.01676451 0.22084963 10.22028156
## [1323]   {92}      => {9}   0.01079713 0.49965991  2.32900999
## [1324]   {9}       => {92}  0.01079713 0.05032748  2.32900999
## [1325]   {92}      => {53}  0.01648231 0.76275337  1.81006005
## [1326]   {53}      => {92}  0.01648231 0.03911351  1.81006005
## [1327]   {92}      => {80}  0.01960709 0.90735954  2.16404313
## [1328]   {80}      => {92}  0.01960709 0.04676272  2.16404313
## [1329]   {92}      => {60}  0.01015924 0.47014012  1.00499991
## [1330]   {60}      => {92}  0.01015924 0.02171700  1.00499991
## [1331]   {92}      => {26}  0.01192593 0.55189770  1.16263765
## [1332]   {26}      => {92}  0.01192593 0.02512339  1.16263765
## [1333]   {92}      => {46}  0.01045026 0.48360767  0.98976103
## [1334]   {46}      => {92}  0.01045026 0.02138770  0.98976103
## [1335]   {92}      => {39}  0.01154085 0.53407700  1.09831227
## [1336]   {39}      => {92}  0.01154085 0.02373338  1.09831227
## [1337]   {92}      => {23}  0.01112049 0.51462386  1.01013963
## [1338]   {23}      => {92}  0.01112049 0.02182806  1.01013963
## [1339]   {92}      => {30}  0.01197591 0.55421031  1.02663853
## [1340]   {30}      => {92}  0.01197591 0.02218459  1.02663853
## [1341]   {92}      => {38}  0.01516243 0.70167324  1.13325947
## [1342]   {38}      => {92}  0.01516243 0.02448856  1.13325947
## [1343]   {92}      => {14}  0.01192005 0.55162563  0.87092814
## [1344]   {14}      => {92}  0.01192005 0.01881985  0.87092814
## [1345]   {92}      => {63}  0.01848417 0.85539382  1.31873958
## [1346]   {63}      => {92}  0.01848417 0.02849659  1.31873958
## [1347]   {92}      => {22}  0.01446280 0.66929669  0.98915352
## [1348]   {22}      => {92}  0.01446280 0.02137458  0.98915352
## [1349]   {92}      => {1}   0.01397777 0.64685077  0.93755383
## [1350]   {1}       => {92}  0.01397777 0.02025956  0.93755383
## [1351]   {92}      => {8}   0.01543875 0.71446062  1.01667506
## [1352]   {8}       => {92}  0.01543875 0.02196929  1.01667506
## [1353]   {92}      => {59}  0.01956300 0.90531900  1.25043296
## [1354]   {59}      => {92}  0.01956300 0.02702055  1.25043296
## [1355]   {92}      => {25}  0.01460978 0.67609849  0.88996499
## [1356]   {25}      => {92}  0.01460978 0.01923122  0.88996499
## [1357]   {92}      => {41}  0.02065359 0.95578833  1.22882323
## [1358]   {41}      => {92}  0.02065359 0.02655359  1.22882323
## [1359]   {92}      => {28}  0.01705847 0.78941641  0.99253799
## [1360]   {28}      => {92}  0.01705847 0.02144771  0.99253799
## [1361]   {92}      => {15}  0.01658813 0.76765066  0.95685043
## [1362]   {15}      => {92}  0.01658813 0.02067654  0.95685043
## [1363]   {92}      => {24}  0.01761993 0.81539927  1.01156753
## [1364]   {24}      => {92}  0.01761993 0.02185892  1.01156753
## [1365]   {92}      => {27}  0.01954242 0.90436675  1.08313804
## [1366]   {27}      => {92}  0.01954242 0.02340548  1.08313804
## [1367]   {92}      => {43}  0.01858412 0.86001905  1.00400781
## [1368]   {43}      => {92}  0.01858412 0.02169556  1.00400781
## [1369]   {92}      => {29}  0.01985402 0.91878656  1.04466902
## [1370]   {29}      => {92}  0.01985402 0.02257421  1.04466902
## [1371]   {92}      => {21}  0.02030966 0.93987213  1.05714250
## [1372]   {21}      => {92}  0.02030966 0.02284375  1.05714250
## [1373]   {92}      => {31}  0.02108277 0.97564957  1.04366285
## [1374]   {31}      => {92}  0.02108277 0.02255247  1.04366285
## [1375]   {92}      => {16}  0.02096813 0.97034417  0.99302253
## [1376]   {16}      => {92}  0.02096813 0.02145818  0.99302253
## [1377]   {92}      => {18}  0.02151489 0.99564685  0.99884142
## [1378]   {18}      => {92}  0.02151489 0.02158392  0.99884142
## [1379]   {92}      => {12}  0.02157368 0.99836757  1.00007855
## [1380]   {12}      => {92}  0.02157368 0.02161065  1.00007855
## [1381]   {92}      => {17}  0.02160308 0.99972793  0.99982198
## [1382]   {17}      => {92}  0.02160308 0.02160511  0.99982198
## [1383]   {115}     => {13}  0.02083878 0.85760948  4.73149801
## [1384]   {13}      => {115} 0.02083878 0.11496919  4.73149801
## [1385]   {115}     => {2}   0.02413407 0.99322526  5.69777991
## [1386]   {2}       => {115} 0.02413407 0.13844857  5.69777991
## [1387]   {115}     => {7}   0.01855178 0.76348899  3.69922057
## [1388]   {7}       => {115} 0.01855178 0.08988620  3.69922057
## [1389]   {115}     => {35}  0.01011220 0.41616259  1.92517290
## [1390]   {35}      => {115} 0.01011220 0.04677917  1.92517290
## [1391]   {115}     => {47}  0.01101172 0.45318171  1.40667652
## [1392]   {47}      => {115} 0.01101172 0.03418039  1.40667652
## [1393]   {115}     => {23}  0.02286122 0.94084200  1.84675034
## [1394]   {23}      => {115} 0.02286122 0.04487361  1.84675034
## [1395]   {115}     => {30}  0.01247858 0.51354948  0.95131699
## [1396]   {30}      => {115} 0.01247858 0.02311575  0.95131699
## [1397]   {115}     => {10}  0.02217630 0.91265425  1.57161530
## [1398]   {10}      => {115} 0.02217630 0.03818819  1.57161530
## [1399]   {115}     => {38}  0.01257264 0.51742076  0.83567669
## [1400]   {38}      => {115} 0.01257264 0.02030585  0.83567669
## [1401]   {115}     => {14}  0.01417766 0.58347447  0.92121235
## [1402]   {14}      => {115} 0.01417766 0.02238425  0.92121235
## [1403]   {115}     => {63}  0.01859293 0.76518268  1.17966327
## [1404]   {63}      => {115} 0.01859293 0.02866427  1.17966327
## [1405]   {115}     => {22}  0.01320466 0.54343092  0.80313651
## [1406]   {22}      => {115} 0.01320466 0.01951516  0.80313651
## [1407]   {115}     => {1}   0.01203176 0.49516090  0.71769258
## [1408]   {1}       => {115} 0.01203176 0.01743899  0.71769258
## [1409]   {115}     => {8}   0.01545933 0.63622066  0.90533987
## [1410]   {8}       => {115} 0.01545933 0.02199857  0.90533987
## [1411]   {115}     => {25}  0.01763757 0.72586499  0.95547385
## [1412]   {25}      => {115} 0.01763757 0.02321676  0.95547385
## [1413]   {115}     => {28}  0.01460390 0.60101621  0.75566129
## [1414]   {28}      => {115} 0.01460390 0.01836158  0.75566129
## [1415]   {115}     => {15}  0.01706434 0.70227438  0.87536111
## [1416]   {15}      => {115} 0.01706434 0.02127013  0.87536111
## [1417]   {115}     => {24}  0.01845183 0.75937576  0.94206592
## [1418]   {24}      => {115} 0.01845183 0.02289096  0.94206592
## [1419]   {115}     => {27}  0.01988929 0.81853375  0.98033794
## [1420]   {27}      => {115} 0.01988929 0.02382092  0.98033794
## [1421]   {115}     => {43}  0.01817845 0.74812485  0.87337971
## [1422]   {43}      => {115} 0.01817845 0.02122198  0.87337971
## [1423]   {115}     => {29}  0.01927492 0.79324946  0.90193214
## [1424]   {29}      => {115} 0.01927492 0.02191577  0.90193214
## [1425]   {115}     => {21}  0.02219100 0.91325913  1.02720893
## [1426]   {21}      => {115} 0.02219100 0.02495983  1.02720893
## [1427]   {115}     => {31}  0.01890747 0.77812727  0.83237112
## [1428]   {31}      => {115} 0.01890747 0.02022552  0.83237112
## [1429]   {115}     => {16}  0.02334920 0.96092427  0.98338247
## [1430]   {16}      => {115} 0.02334920 0.02389490  0.98338247
## [1431]   {115}     => {18}  0.02416346 0.99443504  0.99762572
## [1432]   {18}      => {115} 0.02416346 0.02424099  0.99762572
## [1433]   {115}     => {12}  0.02421050 0.99637068  0.99807823
## [1434]   {12}      => {115} 0.02421050 0.02425199  0.99807823
## [1435]   {115}     => {17}  0.02429869 1.00000000  1.00009408
## [1436]   {17}      => {115} 0.02429869 0.02430097  1.00009408
## [1437]   {138}     => {56}  0.01557103 0.68729726  1.85943204
## [1438]   {56}      => {138} 0.01557103 0.04212628  1.85943204
## [1439]   {138}     => {53}  0.01701143 0.75087583  1.78187393
## [1440]   {53}      => {138} 0.01701143 0.04036916  1.78187393
## [1441]   {138}     => {60}  0.01239039 0.54690541  1.16909804
## [1442]   {60}      => {138} 0.01239039 0.02648645  1.16909804
## [1443]   {138}     => {26}  0.01018569 0.44959128  0.94711710
## [1444]   {26}      => {138} 0.01018569 0.02145737  0.94711710
## [1445]   {138}     => {46}  0.01196121 0.52796159  1.08053664
## [1446]   {46}      => {138} 0.01196121 0.02448005  1.08053664
## [1447]   {138}     => {39}  0.01164079 0.51381861  1.05665154
## [1448]   {39}      => {138} 0.01164079 0.02393892  1.05665154
## [1449]   {138}     => {23}  0.01064721 0.46996237  0.92247494
## [1450]   {23}      => {138} 0.01064721 0.02089909  0.92247494
## [1451]   {138}     => {30}  0.01223753 0.54015830  1.00060809
## [1452]   {30}      => {138} 0.01223753 0.02266923  1.00060809
## [1453]   {138}     => {10}  0.02123857 0.93745945  1.61433054
## [1454]   {10}      => {138} 0.02123857 0.03657339  1.61433054
## [1455]   {138}     => {38}  0.01375730 0.60724017  0.98074236
## [1456]   {38}      => {138} 0.01375730 0.02221916  0.98074236
## [1457]   {138}     => {14}  0.01593848 0.70351628  1.11073906
## [1458]   {14}      => {138} 0.01593848 0.02516430  1.11073906
## [1459]   {138}     => {63}  0.01268435 0.55988063  0.86315416
## [1460]   {63}      => {138} 0.01268435 0.01955515  0.86315416
## [1461]   {138}     => {22}  0.01692618 0.74711301  1.10415825
## [1462]   {22}      => {138} 0.01692618 0.02501521  1.10415825
## [1463]   {138}     => {1}   0.01818139 0.80251719  1.16317875
## [1464]   {1}       => {138} 0.01818139 0.02635234  1.16317875
## [1465]   {138}     => {8}   0.01689385 0.74568574  1.06110830
## [1466]   {8}       => {138} 0.01689385 0.02403989  1.06110830
## [1467]   {138}     => {59}  0.02152077 0.94991566  1.31203017
## [1468]   {59}      => {138} 0.02152077 0.02972464  1.31203017
## [1469]   {138}     => {25}  0.01840774 0.81250811  1.06952431
## [1470]   {25}      => {138} 0.01840774 0.02423056  1.06952431
## [1471]   {138}     => {41}  0.01918673 0.84689244  1.08881964
## [1472]   {41}      => {138} 0.01918673 0.02466770  1.08881964
## [1473]   {138}     => {28}  0.01868112 0.82457506  1.03674318
## [1474]   {28}      => {138} 0.01868112 0.02348789  1.03674318
## [1475]   {138}     => {15}  0.01913970 0.84481640  1.05303490
## [1476]   {15}      => {138} 0.01913970 0.02385698  1.05303490
## [1477]   {138}     => {24}  0.01884868 0.83197094  1.03212601
## [1478]   {24}      => {138} 0.01884868 0.02338328  1.03212601
## [1479]   {138}     => {27}  0.01995397 0.88075775  1.05486211
## [1480]   {27}      => {138} 0.01995397 0.02389838  1.05486211
## [1481]   {138}     => {43}  0.02077999 0.91721811  1.07078343
## [1482]   {43}      => {138} 0.02077999 0.02425908  1.07078343
## [1483]   {138}     => {29}  0.02008037 0.88633710  1.00777367
## [1484]   {29}      => {138} 0.02008037 0.02283157  1.00777367
## [1485]   {138}     => {21}  0.02135615 0.94264954  1.06026646
## [1486]   {21}      => {138} 0.02135615 0.02402082  1.06026646
## [1487]   {138}     => {31}  0.02219100 0.97949916  1.04778079
## [1488]   {31}      => {138} 0.02219100 0.02373795  1.04778079
## [1489]   {138}     => {16}  0.02242910 0.99000908  1.01314704
## [1490]   {16}      => {138} 0.02242910 0.02295331  1.01314704
## [1491]   {138}     => {18}  0.02262312 0.99857273  1.00177669
## [1492]   {18}      => {138} 0.02262312 0.02269570  1.00177669
## [1493]   {138}     => {12}  0.02264076 0.99935124  1.00106390
## [1494]   {12}      => {138} 0.02264076 0.02267956  1.00106390
## [1495]   {138}     => {17}  0.02265545 1.00000000  1.00009408
## [1496]   {17}      => {138} 0.02265545 0.02265758  1.00009408
## [1497]   {85}      => {56}  0.01535644 0.65669390  1.77663691
## [1498]   {56}      => {85}  0.01535644 0.04154572  1.77663691
## [1499]   {85}      => {53}  0.01635296 0.69930861  1.65950179
## [1500]   {53}      => {85}  0.01635296 0.03880657  1.65950179
## [1501]   {85}      => {60}  0.01327521 0.56769327  1.21353543
## [1502]   {60}      => {85}  0.01327521 0.02837789  1.21353543
## [1503]   {85}      => {46}  0.01677626 0.71741043  1.46826638
## [1504]   {46}      => {85}  0.01677626 0.03433463  1.46826638
## [1505]   {85}      => {39}  0.01187890 0.50798240  1.04464957
## [1506]   {39}      => {85}  0.01187890 0.02442858  1.04464957
## [1507]   {85}      => {30}  0.01349274 0.57699560  1.06884679
## [1508]   {30}      => {85}  0.01349274 0.02499442  1.06884679
## [1509]   {85}      => {10}  0.02157956 0.92281584  1.58911384
## [1510]   {10}      => {85}  0.02157956 0.03716059  1.58911384
## [1511]   {85}      => {38}  0.01386901 0.59308611  0.95788240
## [1512]   {38}      => {85}  0.01386901 0.02239957  0.95788240
## [1513]   {85}      => {14}  0.01678214 0.71766185  1.13307263
## [1514]   {14}      => {85}  0.01678214 0.02649631  1.13307263
## [1515]   {85}      => {63}  0.01171134 0.50081710  0.77209737
## [1516]   {63}      => {85}  0.01171134 0.01805509  0.77209737
## [1517]   {85}      => {22}  0.01647055 0.70433690  1.04093943
## [1518]   {22}      => {85}  0.01647055 0.02434182  1.04093943
## [1519]   {85}      => {1}   0.01844007 0.78856065  1.14294997
## [1520]   {1}       => {85}  0.01844007 0.02672728  1.14294997
## [1521]   {85}      => {8}   0.01753468 0.74984287  1.06702388
## [1522]   {8}       => {85}  0.01753468 0.02495179  1.06702388
## [1523]   {85}      => {59}  0.02130618 0.91112508  1.25845235
## [1524]   {59}      => {85}  0.02130618 0.02942824  1.25845235
## [1525]   {85}      => {25}  0.01841362 0.78742929  1.03651245
## [1526]   {25}      => {85}  0.01841362 0.02423830  1.03651245
## [1527]   {85}      => {41}  0.01932195 0.82627278  1.06230968
## [1528]   {41}      => {85}  0.01932195 0.02484155  1.06230968
## [1529]   {85}      => {28}  0.01961297 0.83871779  1.05452491
## [1530]   {28}      => {85}  0.01961297 0.02465951  1.05452491
## [1531]   {85}      => {15}  0.02032142 0.86901320  1.08319538
## [1532]   {15}      => {85}  0.02032142 0.02532995  1.08319538
## [1533]   {85}      => {24}  0.01969822 0.84236329  1.04501855
## [1534]   {24}      => {85}  0.01969822 0.02443721  1.04501855
## [1535]   {85}      => {27}  0.02174124 0.92972973  1.11351466
## [1536]   {27}      => {85}  0.02174124 0.02603895  1.11351466
## [1537]   {85}      => {43}  0.02119154 0.90622250  1.05794688
## [1538]   {43}      => {85}  0.02119154 0.02473953  1.05794688
## [1539]   {85}      => {29}  0.02051249 0.87718416  0.99736670
## [1540]   {29}      => {85}  0.02051249 0.02332289  0.99736670
## [1541]   {85}      => {21}  0.02205578 0.94318039  1.06086354
## [1542]   {21}      => {85}  0.02205578 0.02480773  1.06086354
## [1543]   {85}      => {31}  0.02284065 0.97674419  1.04483377
## [1544]   {31}      => {85}  0.02284065 0.02443289  1.04483377
## [1545]   {85}      => {16}  0.02321398 0.99270899  1.01591004
## [1546]   {16}      => {85}  0.02321398 0.02375652  1.01591004
## [1547]   {85}      => {18}  0.02334626 0.99836581  1.00156910
## [1548]   {18}      => {85}  0.02334626 0.02342117  1.00156910
## [1549]   {85}      => {12}  0.02335214 0.99861722  1.00032863
## [1550]   {12}      => {85}  0.02335214 0.02339216  1.00032863
## [1551]   {85}      => {17}  0.02338447 1.00000000  1.00009408
## [1552]   {17}      => {85}  0.02338447 0.02338667  1.00009408
## [1553]   {210}     => {161} 0.02179415 0.94626675 16.30718655
## [1554]   {161}     => {210} 0.02179415 0.37558257 16.30718655
## [1555]   {210}     => {159} 0.02261430 0.98187620 16.63020115
## [1556]   {159}     => {210} 0.02261430 0.38302216 16.63020115
## [1557]   {210}     => {88}  0.01554457 0.67492023  6.24769078
## [1558]   {88}      => {210} 0.01554457 0.14389507  6.24769078
## [1559]   {210}     => {64}  0.01052375 0.45692406  1.62467778
## [1560]   {64}      => {210} 0.01052375 0.03741913  1.62467778
## [1561]   {210}     => {60}  0.01511833 0.65641353  1.40318920
## [1562]   {60}      => {210} 0.01511833 0.03231786  1.40318920
## [1563]   {210}     => {46}  0.01915146 0.83152521  1.70181594
## [1564]   {46}      => {210} 0.01915146 0.03919575  1.70181594
## [1565]   {210}     => {10}  0.01408066 0.61135929  1.05277723
## [1566]   {10}      => {210} 0.01408066 0.02424727  1.05277723
## [1567]   {210}     => {38}  0.01350450 0.58634333  0.94699226
## [1568]   {38}      => {210} 0.01350450 0.02181086  0.94699226
## [1569]   {210}     => {14}  0.01434228 0.62271857  0.98317246
## [1570]   {14}      => {210} 0.01434228 0.02264415  0.98317246
## [1571]   {210}     => {63}  0.01421882 0.61735801  0.95176563
## [1572]   {63}      => {210} 0.01421882 0.02192080  0.95176563
## [1573]   {210}     => {22}  0.01680272 0.72954690  1.07819730
## [1574]   {22}      => {210} 0.01680272 0.02483274  1.07819730
## [1575]   {210}     => {1}   0.01600021 0.69470325  1.00691184
## [1576]   {1}       => {210} 0.01600021 0.02319091  1.00691184
## [1577]   {210}     => {8}   0.01695558 0.73618379  1.04758706
## [1578]   {8}       => {210} 0.01695558 0.02412773  1.04758706
## [1579]   {210}     => {59}  0.02115626 0.91857052  1.26873604
## [1580]   {59}      => {210} 0.02115626 0.02922117  1.26873604
## [1581]   {210}     => {25}  0.02272306 0.98659860  1.29868388
## [1582]   {25}      => {210} 0.02272306 0.02991093  1.29868388
## [1583]   {210}     => {41}  0.01761993 0.76502872  0.98357035
## [1584]   {41}      => {210} 0.01761993 0.02265332  0.98357035
## [1585]   {210}     => {28}  0.02202344 0.95622208  1.20226377
## [1586]   {28}      => {210} 0.02202344 0.02769020  1.20226377
## [1587]   {210}     => {15}  0.01652640 0.71754946  0.89440098
## [1588]   {15}      => {210} 0.01652640 0.02059959  0.89440098
## [1589]   {210}     => {24}  0.01908091 0.82846203  1.02777293
## [1590]   {24}      => {210} 0.01908091 0.02367138  1.02777293
## [1591]   {210}     => {27}  0.01733479 0.75264837  0.90142863
## [1592]   {27}      => {210} 0.01733479 0.02076145  0.90142863
## [1593]   {210}     => {43}  0.02095931 0.91001914  1.06237918
## [1594]   {43}      => {210} 0.02095931 0.02446842  1.06237918
## [1595]   {210}     => {29}  0.01950127 0.84671347  0.96272123
## [1596]   {29}      => {210} 0.01950127 0.02217313  0.96272123
## [1597]   {210}     => {21}  0.01841950 0.79974474  0.89953103
## [1598]   {21}      => {210} 0.01841950 0.02071775  0.89953103
## [1599]   {210}     => {31}  0.02246144 0.97523931  1.04322399
## [1600]   {31}      => {210} 0.02246144 0.02402724  1.04322399
## [1601]   {210}     => {16}  0.02194407 0.95277601  0.97504377
## [1602]   {16}      => {210} 0.02194407 0.02245694  0.97504377
## [1603]   {210}     => {18}  0.02282301 0.99093810  0.99411756
## [1604]   {18}      => {210} 0.02282301 0.02289624  0.99411756
## [1605]   {210}     => {12}  0.02300820 0.99897894  1.00069097
## [1606]   {12}      => {210} 0.02300820 0.02304764  1.00069097
## [1607]   {210}     => {17}  0.02301996 0.99948947  0.99958350
## [1608]   {17}      => {210} 0.02301996 0.02302213  0.99958350
## [1609]   {97}      => {57}  0.01463624 0.61827890  9.11141794
## [1610]   {57}      => {97}  0.01463624 0.21569052  9.11141794
## [1611]   {97}      => {95}  0.01332812 0.56301999  3.04426337
## [1612]   {95}      => {97}  0.01332812 0.07206549  3.04426337
## [1613]   {97}      => {56}  0.01268141 0.53570098  1.44929949
## [1614]   {56}      => {97}  0.01268141 0.03430862  1.44929949
## [1615]   {97}      => {53}  0.01511833 0.63864398  1.51554095
## [1616]   {53}      => {97}  0.01511833 0.03587672  1.51554095
## [1617]   {97}      => {80}  0.01088238 0.45970446  1.09639038
## [1618]   {80}      => {97}  0.01088238 0.02595436  1.09639038
## [1619]   {97}      => {60}  0.01282839 0.54190985  1.15841922
## [1620]   {60}      => {97}  0.01282839 0.02742274  1.15841922
## [1621]   {97}      => {26}  0.01173192 0.49559170  1.04402242
## [1622]   {26}      => {97}  0.01173192 0.02471468  1.04402242
## [1623]   {97}      => {46}  0.01316056 0.55594189  1.13780166
## [1624]   {46}      => {97}  0.01316056 0.02693467  1.13780166
## [1625]   {97}      => {23}  0.01044732 0.44132621  0.86626589
## [1626]   {23}      => {97}  0.01044732 0.02050672  0.86626589
## [1627]   {97}      => {30}  0.01056196 0.44616913  0.82649927
## [1628]   {30}      => {97}  0.01056196 0.01956535  0.82649927
## [1629]   {97}      => {10}  0.01279017 0.54029554  0.93040354
## [1630]   {10}      => {97}  0.01279017 0.02202503  0.93040354
## [1631]   {97}      => {38}  0.01547696 0.65379362  1.05592997
## [1632]   {38}      => {97}  0.01547696 0.02499656  1.05592997
## [1633]   {97}      => {14}  0.01683212 0.71103936  1.12261679
## [1634]   {14}      => {97}  0.01683212 0.02657521  1.12261679
## [1635]   {97}      => {63}  0.01562982 0.66025084  1.01789244
## [1636]   {63}      => {97}  0.01562982 0.02409611  1.01789244
## [1637]   {97}      => {22}  0.01863997 0.78740842  1.16371083
## [1638]   {22}      => {97}  0.01863997 0.02754801  1.16371083
## [1639]   {97}      => {1}   0.01858412 0.78504905  1.13786020
## [1640]   {1}       => {97}  0.01858412 0.02693606  1.13786020
## [1641]   {97}      => {8}   0.01910736 0.80715261  1.14857546
## [1642]   {8}       => {97}  0.01910736 0.02718971  1.14857546
## [1643]   {97}      => {59}  0.02066829 0.87309077  1.20591910
## [1644]   {59}      => {97}  0.02066829 0.02854718  1.20591910
## [1645]   {97}      => {25}  0.02248496 0.94983236  1.25028759
## [1646]   {25}      => {97}  0.02248496 0.02959750  1.25028759
## [1647]   {97}      => {41}  0.02187352 0.92400348  1.18795857
## [1648]   {41}      => {97}  0.02187352 0.02812201  1.18795857
## [1649]   {97}      => {28}  0.02128560 0.89916801  1.13052934
## [1650]   {28}      => {97}  0.02128560 0.02676252  1.13052934
## [1651]   {97}      => {15}  0.01887513 0.79734261  0.99386043
## [1652]   {15}      => {97}  0.01887513 0.02352721  0.99386043
## [1653]   {97}      => {24}  0.02041842 0.86253570  1.07004403
## [1654]   {24}      => {97}  0.02041842 0.02533067  1.07004403
## [1655]   {97}      => {27}  0.01409829 0.59555445  0.71328106
## [1656]   {27}      => {97}  0.01409829 0.01688518  0.71328106
## [1657]   {97}      => {43}  0.02165599 0.91481435  1.06797723
## [1658]   {43}      => {97}  0.02165599 0.02528175  1.06797723
## [1659]   {97}      => {29}  0.02021559 0.85396747  0.97096909
## [1660]   {29}      => {97}  0.02021559 0.02298532  0.97096909
## [1661]   {97}      => {21}  0.01520652 0.64236930  0.72251945
## [1662]   {21}      => {97}  0.01520652 0.01710388  0.72251945
## [1663]   {97}      => {31}  0.02273776 0.96051161  1.02746961
## [1664]   {31}      => {97}  0.02273776 0.02432283  1.02746961
## [1665]   {97}      => {16}  0.02341681 0.98919657  1.01231554
## [1666]   {16}      => {97}  0.02341681 0.02396409  1.01231554
## [1667]   {97}      => {18}  0.02360200 0.99701974  1.00021872
## [1668]   {18}      => {97}  0.02360200 0.02367773  1.00021872
## [1669]   {97}      => {12}  0.02364904 0.99900658  1.00071865
## [1670]   {12}      => {97}  0.02364904 0.02368957  1.00071865
## [1671]   {97}      => {17}  0.02367255 1.00000000  1.00009408
## [1672]   {17}      => {97}  0.02367255 0.02367478  1.00009408
## [1673]   {185}     => {36}  0.01151439 0.43086569  2.70046582
## [1674]   {36}      => {185} 0.01151439 0.07216685  2.70046582
## [1675]   {185}     => {77}  0.01097351 0.41062589  2.54598382
## [1676]   {77}      => {185} 0.01097351 0.06803849  2.54598382
## [1677]   {185}     => {13}  0.02306406 0.86305137  4.76152131
## [1678]   {13}      => {185} 0.02306406 0.12724619  4.76152131
## [1679]   {185}     => {2}   0.02632407 0.98504015  5.65082484
## [1680]   {2}       => {185} 0.02632407 0.15101180  5.65082484
## [1681]   {185}     => {7}   0.01962179 0.73424266  3.55751763
## [1682]   {7}       => {185} 0.01962179 0.09507057  3.55751763
## [1683]   {185}     => {35}  0.01050611 0.39313607  1.81865193
## [1684]   {35}      => {185} 0.01050611 0.04860138  1.81865193
## [1685]   {185}     => {33}  0.01033561 0.38675613  1.64373531
## [1686]   {33}      => {185} 0.01033561 0.04392694  1.64373531
## [1687]   {185}     => {47}  0.01293421 0.48399516  1.50232151
## [1688]   {47}      => {185} 0.01293421 0.04014782  1.50232151
## [1689]   {185}     => {26}  0.01055902 0.39511605  0.83235859
## [1690]   {26}      => {185} 0.01055902 0.02224383  0.83235859
## [1691]   {185}     => {23}  0.02192643 0.82048180  1.61049893
## [1692]   {23}      => {185} 0.02192643 0.04303873  1.61049893
## [1693]   {185}     => {30}  0.01453629 0.54394456  1.00762190
## [1694]   {30}      => {185} 0.01453629 0.02692754  1.00762190
## [1695]   {185}     => {10}  0.02410761 0.90210098  1.55344229
## [1696]   {10}      => {185} 0.02410761 0.04151396  1.55344229
## [1697]   {185}     => {38}  0.01404832 0.52568474  0.84902370
## [1698]   {38}      => {185} 0.01404832 0.02268918  0.84902370
## [1699]   {185}     => {14}  0.01274314 0.47684523  0.75286192
## [1700]   {14}      => {185} 0.01274314 0.02011937  0.75286192
## [1701]   {185}     => {63}  0.01935723 0.72434276  1.11670137
## [1702]   {63}      => {185} 0.01935723 0.02984256  1.11670137
## [1703]   {185}     => {22}  0.01373672 0.51402486  0.75967729
## [1704]   {22}      => {185} 0.01373672 0.02030150  0.75967729
## [17