R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(119.992
+ ,157.302
+ ,74.997
+ ,0.00784
+ ,0.00007
+ ,0.0037
+ ,0.00554
+ ,0.04374
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+ ,0.00696
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+ ,0.626
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+ ,0.00908
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+ ,0.01567
+ ,0.134
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+ ,1
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+ ,0.00003
+ ,0.00157
+ ,0.00203
+ ,0.01503
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+ ,1
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+ ,1
+ ,168.778
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+ ,0.00004
+ ,0.00284
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+ ,0.348
+ ,0.0343
+ ,1
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+ ,0.00399
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+ ,0.348
+ ,0.0431
+ ,1
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+ ,165.738
+ ,65.782
+ ,0.0084
+ ,0.00005
+ ,0.00428
+ ,0.0045
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+ ,0.00003
+ ,0.00232
+ ,0.00267
+ ,0.04137
+ ,0.37
+ ,0.04525
+ ,1
+ ,167.93
+ ,193.221
+ ,79.068
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+ ,0.00003
+ ,0.0022
+ ,0.00247
+ ,0.04351
+ ,0.377
+ ,0.04246
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+ ,173.917
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+ ,0.00258
+ ,0.04192
+ ,0.364
+ ,0.03772
+ ,1
+ ,163.656
+ ,200.841
+ ,76.779
+ ,0.00742
+ ,0.00005
+ ,0.0038
+ ,0.0039
+ ,0.01659
+ ,0.164
+ ,0.01497
+ ,1
+ ,104.4
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+ ,0
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+ ,192.091
+ ,0.00241
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+ ,0.00138
+ ,0.01015
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+ ,0
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+ ,211.604
+ ,197.079
+ ,0.0018
+ ,0.000009
+ ,0.00093
+ ,0.00107
+ ,0.00954
+ ,0.085
+ ,0.00719
+ ,0
+ ,203.184
+ ,211.526
+ ,196.16
+ ,0.00178
+ ,0.000009
+ ,0.00094
+ ,0.00106
+ ,0.00958
+ ,0.085
+ ,0.00726
+ ,0
+ ,201.464
+ ,210.565
+ ,195.708
+ ,0.00198
+ ,0.00001
+ ,0.00105
+ ,0.00115
+ ,0.01194
+ ,0.107
+ ,0.00957
+ ,0
+ ,177.876
+ ,192.921
+ ,168.013
+ ,0.00411
+ ,0.00002
+ ,0.00233
+ ,0.00241
+ ,0.02126
+ ,0.189
+ ,0.01612
+ ,1
+ ,176.17
+ ,185.604
+ ,163.564
+ ,0.00369
+ ,0.00002
+ ,0.00205
+ ,0.00218
+ ,0.01851
+ ,0.168
+ ,0.01491
+ ,1
+ ,180.198
+ ,201.249
+ ,175.456
+ ,0.00284
+ ,0.00002
+ ,0.00153
+ ,0.00166
+ ,0.01444
+ ,0.131
+ ,0.0119
+ ,1
+ ,187.733
+ ,202.324
+ ,173.015
+ ,0.00316
+ ,0.00002
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+ ,0.00182
+ ,0.01663
+ ,0.151
+ ,0.01366
+ ,1
+ ,186.163
+ ,197.724
+ ,177.584
+ ,0.00298
+ ,0.00002
+ ,0.00165
+ ,0.00175
+ ,0.01495
+ ,0.135
+ ,0.01233
+ ,1
+ ,184.055
+ ,196.537
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+ ,0.00258
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+ ,0.00147
+ ,0.01463
+ ,0.132
+ ,0.01234
+ ,1
+ ,237.226
+ ,247.326
+ ,225.227
+ ,0.00298
+ ,0.00001
+ ,0.00169
+ ,0.00182
+ ,0.01752
+ ,0.164
+ ,0.01133
+ ,0
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+ ,248.834
+ ,232.483
+ ,0.00281
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+ ,0.00157
+ ,0.00173
+ ,0.0176
+ ,0.154
+ ,0.01251
+ ,0
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+ ,250.912
+ ,232.435
+ ,0.0021
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+ ,0.00109
+ ,0.00137
+ ,0.01419
+ ,0.126
+ ,0.01033
+ ,0
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+ ,255.034
+ ,227.911
+ ,0.00225
+ ,0.000009
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+ ,0.00139
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+ ,0.134
+ ,0.01014
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+ ,231.848
+ ,0.00235
+ ,0.00001
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+ ,0.00148
+ ,0.01608
+ ,0.141
+ ,0.01149
+ ,0
+ ,252.455
+ ,261.487
+ ,182.786
+ ,0.00185
+ ,0.000007
+ ,0.00092
+ ,0.00113
+ ,0.01152
+ ,0.103
+ ,0.0086
+ ,0
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+ ,115.765
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+ ,0.01613
+ ,0.143
+ ,0.01433
+ ,0
+ ,122.964
+ ,130.049
+ ,114.676
+ ,0.00428
+ ,0.00003
+ ,0.00124
+ ,0.00155
+ ,0.01681
+ ,0.154
+ ,0.014
+ ,0
+ ,124.445
+ ,135.069
+ ,117.495
+ ,0.00431
+ ,0.00003
+ ,0.00141
+ ,0.00167
+ ,0.02184
+ ,0.197
+ ,0.01685
+ ,0
+ ,126.344
+ ,134.231
+ ,112.773
+ ,0.00448
+ ,0.00004
+ ,0.00131
+ ,0.00169
+ ,0.02033
+ ,0.185
+ ,0.01614
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+ ,0.228
+ ,0.01947
+ ,0
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+ ,0.00826
+ ,0.00655
+ ,0.04689
+ ,0.422
+ ,0.03908
+ ,1
+ ,126.512
+ ,141.756
+ ,99.77
+ ,0.01936
+ ,0.00015
+ ,0.01159
+ ,0.0099
+ ,0.06734
+ ,0.659
+ ,0.05783
+ ,1
+ ,125.641
+ ,141.068
+ ,116.346
+ ,0.03316
+ ,0.00026
+ ,0.02144
+ ,0.01522
+ ,0.09178
+ ,0.891
+ ,0.06196
+ ,1
+ ,128.451
+ ,150.449
+ ,75.632
+ ,0.01551
+ ,0.00012
+ ,0.00905
+ ,0.00909
+ ,0.0617
+ ,0.584
+ ,0.05174
+ ,1
+ ,139.224
+ ,586.567
+ ,66.157
+ ,0.03011
+ ,0.00022
+ ,0.01854
+ ,0.01628
+ ,0.09419
+ ,0.93
+ ,0.06023
+ ,1
+ ,150.258
+ ,154.609
+ ,75.349
+ ,0.00248
+ ,0.00002
+ ,0.00105
+ ,0.00136
+ ,0.01131
+ ,0.107
+ ,0.01009
+ ,1
+ ,154.003
+ ,160.267
+ ,128.621
+ ,0.00183
+ ,0.00001
+ ,0.00076
+ ,0.001
+ ,0.0103
+ ,0.094
+ ,0.00871
+ ,1
+ ,149.689
+ ,160.368
+ ,133.608
+ ,0.00257
+ ,0.00002
+ ,0.00116
+ ,0.00134
+ ,0.01346
+ ,0.126
+ ,0.01059
+ ,1
+ ,155.078
+ ,163.736
+ ,144.148
+ ,0.00168
+ ,0.00001
+ ,0.00068
+ ,0.00092
+ ,0.01064
+ ,0.097
+ ,0.00928
+ ,1
+ ,151.884
+ ,157.765
+ ,133.751
+ ,0.00258
+ ,0.00002
+ ,0.00115
+ ,0.00122
+ ,0.0145
+ ,0.137
+ ,0.01267
+ ,1
+ ,151.989
+ ,157.339
+ ,132.857
+ ,0.00174
+ ,0.00001
+ ,0.00075
+ ,0.00096
+ ,0.01024
+ ,0.093
+ ,0.00993
+ ,1
+ ,193.03
+ ,208.9
+ ,80.297
+ ,0.00766
+ ,0.00004
+ ,0.0045
+ ,0.00389
+ ,0.03044
+ ,0.275
+ ,0.02084
+ ,1
+ ,200.714
+ ,223.982
+ ,89.686
+ ,0.00621
+ ,0.00003
+ ,0.00371
+ ,0.00337
+ ,0.02286
+ ,0.207
+ ,0.01852
+ ,1
+ ,208.519
+ ,220.315
+ ,199.02
+ ,0.00609
+ ,0.00003
+ ,0.00368
+ ,0.00339
+ ,0.01761
+ ,0.155
+ ,0.01307
+ ,1
+ ,204.664
+ ,221.3
+ ,189.621
+ ,0.00841
+ ,0.00004
+ ,0.00502
+ ,0.00485
+ ,0.02378
+ ,0.21
+ ,0.01767
+ ,1
+ ,210.141
+ ,232.706
+ ,185.258
+ ,0.00534
+ ,0.00003
+ ,0.00321
+ ,0.0028
+ ,0.0168
+ ,0.149
+ ,0.01301
+ ,1
+ ,206.327
+ ,226.355
+ ,92.02
+ ,0.00495
+ ,0.00002
+ ,0.00302
+ ,0.00246
+ ,0.02105
+ ,0.209
+ ,0.01604
+ ,1
+ ,151.872
+ ,492.892
+ ,69.085
+ ,0.00856
+ ,0.00006
+ ,0.00404
+ ,0.00385
+ ,0.01843
+ ,0.235
+ ,0.01271
+ ,1
+ ,158.219
+ ,442.557
+ ,71.948
+ ,0.00476
+ ,0.00003
+ ,0.00214
+ ,0.00207
+ ,0.01458
+ ,0.148
+ ,0.01312
+ ,1
+ ,170.756
+ ,450.247
+ ,79.032
+ ,0.00555
+ ,0.00003
+ ,0.00244
+ ,0.00261
+ ,0.01725
+ ,0.175
+ ,0.01652
+ ,1
+ ,178.285
+ ,442.824
+ ,82.063
+ ,0.00462
+ ,0.00003
+ ,0.00157
+ ,0.00194
+ ,0.01279
+ ,0.129
+ ,0.01151
+ ,1
+ ,217.116
+ ,233.481
+ ,93.978
+ ,0.00404
+ ,0.00002
+ ,0.00127
+ ,0.00128
+ ,0.01299
+ ,0.124
+ ,0.01075
+ ,1
+ ,128.94
+ ,479.697
+ ,88.251
+ ,0.00581
+ ,0.00005
+ ,0.00241
+ ,0.00314
+ ,0.02008
+ ,0.221
+ ,0.01734
+ ,1
+ ,176.824
+ ,215.293
+ ,83.961
+ ,0.0046
+ ,0.00003
+ ,0.00209
+ ,0.00221
+ ,0.01169
+ ,0.117
+ ,0.01104
+ ,1
+ ,138.19
+ ,203.522
+ ,83.34
+ ,0.00704
+ ,0.00005
+ ,0.00406
+ ,0.00398
+ ,0.04479
+ ,0.441
+ ,0.0322
+ ,1
+ ,182.018
+ ,197.173
+ ,79.187
+ ,0.00842
+ ,0.00005
+ ,0.00506
+ ,0.00449
+ ,0.02503
+ ,0.231
+ ,0.01931
+ ,1
+ ,156.239
+ ,195.107
+ ,79.82
+ ,0.00694
+ ,0.00004
+ ,0.00403
+ ,0.00395
+ ,0.02343
+ ,0.224
+ ,0.0172
+ ,1
+ ,145.174
+ ,198.109
+ ,80.637
+ ,0.00733
+ ,0.00005
+ ,0.00414
+ ,0.00422
+ ,0.02362
+ ,0.233
+ ,0.01944
+ ,1
+ ,138.145
+ ,197.238
+ ,81.114
+ ,0.00544
+ ,0.00004
+ ,0.00294
+ ,0.00327
+ ,0.02791
+ ,0.246
+ ,0.02259
+ ,1
+ ,166.888
+ ,198.966
+ ,79.512
+ ,0.00638
+ ,0.00004
+ ,0.00368
+ ,0.00351
+ ,0.02857
+ ,0.257
+ ,0.02301
+ ,1
+ ,119.031
+ ,127.533
+ ,109.216
+ ,0.0044
+ ,0.00004
+ ,0.00214
+ ,0.00192
+ ,0.01033
+ ,0.098
+ ,0.00811
+ ,1
+ ,120.078
+ ,126.632
+ ,105.667
+ ,0.0027
+ ,0.00002
+ ,0.00116
+ ,0.00135
+ ,0.01022
+ ,0.09
+ ,0.00903
+ ,1
+ ,120.289
+ ,128.143
+ ,100.209
+ ,0.00492
+ ,0.00004
+ ,0.00269
+ ,0.00238
+ ,0.01412
+ ,0.125
+ ,0.01194
+ ,1
+ ,120.256
+ ,125.306
+ ,104.773
+ ,0.00407
+ ,0.00003
+ ,0.00224
+ ,0.00205
+ ,0.01516
+ ,0.138
+ ,0.0131
+ ,1
+ ,119.056
+ ,125.213
+ ,86.795
+ ,0.00346
+ ,0.00003
+ ,0.00169
+ ,0.0017
+ ,0.01201
+ ,0.106
+ ,0.00915
+ ,1
+ ,118.747
+ ,123.723
+ ,109.836
+ ,0.00331
+ ,0.00003
+ ,0.00168
+ ,0.00171
+ ,0.01043
+ ,0.099
+ ,0.00903
+ ,1
+ ,106.516
+ ,112.777
+ ,93.105
+ ,0.00589
+ ,0.00006
+ ,0.00291
+ ,0.00319
+ ,0.04932
+ ,0.441
+ ,0.03651
+ ,1
+ ,110.453
+ ,127.611
+ ,105.554
+ ,0.00494
+ ,0.00004
+ ,0.00244
+ ,0.00315
+ ,0.04128
+ ,0.379
+ ,0.03316
+ ,1
+ ,113.4
+ ,133.344
+ ,107.816
+ ,0.00451
+ ,0.00004
+ ,0.00219
+ ,0.00283
+ ,0.04879
+ ,0.431
+ ,0.0437
+ ,1
+ ,113.166
+ ,130.27
+ ,100.673
+ ,0.00502
+ ,0.00004
+ ,0.00257
+ ,0.00312
+ ,0.05279
+ ,0.476
+ ,0.04134
+ ,1
+ ,112.239
+ ,126.609
+ ,104.095
+ ,0.00472
+ ,0.00004
+ ,0.00238
+ ,0.0029
+ ,0.05643
+ ,0.517
+ ,0.04451
+ ,1
+ ,116.15
+ ,131.731
+ ,109.815
+ ,0.00381
+ ,0.00003
+ ,0.00181
+ ,0.00232
+ ,0.03026
+ ,0.267
+ ,0.0277
+ ,1
+ ,170.368
+ ,268.796
+ ,79.543
+ ,0.00571
+ ,0.00003
+ ,0.00232
+ ,0.00269
+ ,0.03273
+ ,0.281
+ ,0.02824
+ ,1
+ ,208.083
+ ,253.792
+ ,91.802
+ ,0.00757
+ ,0.00004
+ ,0.00428
+ ,0.00428
+ ,0.06725
+ ,0.571
+ ,0.04464
+ ,1
+ ,198.458
+ ,219.29
+ ,148.691
+ ,0.00376
+ ,0.00002
+ ,0.00182
+ ,0.00215
+ ,0.03527
+ ,0.297
+ ,0.0253
+ ,1
+ ,202.805
+ ,231.508
+ ,86.232
+ ,0.0037
+ ,0.00002
+ ,0.00189
+ ,0.00211
+ ,0.01997
+ ,0.18
+ ,0.01506
+ ,1
+ ,202.544
+ ,241.35
+ ,164.168
+ ,0.00254
+ ,0.00001
+ ,0.001
+ ,0.00133
+ ,0.02662
+ ,0.228
+ ,0.02006
+ ,1
+ ,223.361
+ ,263.872
+ ,87.638
+ ,0.00352
+ ,0.00002
+ ,0.00169
+ ,0.00188
+ ,0.02536
+ ,0.225
+ ,0.01909
+ ,1
+ ,169.774
+ ,191.759
+ ,151.451
+ ,0.01568
+ ,0.00009
+ ,0.00863
+ ,0.00946
+ ,0.08143
+ ,0.821
+ ,0.08808
+ ,1
+ ,183.52
+ ,216.814
+ ,161.34
+ ,0.01466
+ ,0.00008
+ ,0.00849
+ ,0.00819
+ ,0.0605
+ ,0.618
+ ,0.06359
+ ,1
+ ,188.62
+ ,216.302
+ ,165.982
+ ,0.01719
+ ,0.00009
+ ,0.00996
+ ,0.01027
+ ,0.07118
+ ,0.722
+ ,0.06824
+ ,1
+ ,202.632
+ ,565.74
+ ,177.258
+ ,0.01627
+ ,0.00008
+ ,0.00919
+ ,0.00963
+ ,0.0717
+ ,0.833
+ ,0.0646
+ ,1
+ ,186.695
+ ,211.961
+ ,149.442
+ ,0.01872
+ ,0.0001
+ ,0.01075
+ ,0.01154
+ ,0.0583
+ ,0.784
+ ,0.06259
+ ,1
+ ,192.818
+ ,224.429
+ ,168.793
+ ,0.03107
+ ,0.00016
+ ,0.018
+ ,0.01958
+ ,0.11908
+ ,1.302
+ ,0.13778
+ ,1
+ ,198.116
+ ,233.099
+ ,174.478
+ ,0.02714
+ ,0.00014
+ ,0.01568
+ ,0.01699
+ ,0.08684
+ ,1.018
+ ,0.08318
+ ,1
+ ,121.345
+ ,139.644
+ ,98.25
+ ,0.00684
+ ,0.00006
+ ,0.00388
+ ,0.00332
+ ,0.02534
+ ,0.241
+ ,0.02056
+ ,1
+ ,119.1
+ ,128.442
+ ,88.833
+ ,0.00692
+ ,0.00006
+ ,0.00393
+ ,0.003
+ ,0.02682
+ ,0.236
+ ,0.02018
+ ,1
+ ,117.87
+ ,127.349
+ ,95.654
+ ,0.00647
+ ,0.00005
+ ,0.00356
+ ,0.003
+ ,0.03087
+ ,0.276
+ ,0.02402
+ ,1
+ ,122.336
+ ,142.369
+ ,94.794
+ ,0.00727
+ ,0.00006
+ ,0.00415
+ ,0.00339
+ ,0.02293
+ ,0.223
+ ,0.01771
+ ,1
+ ,117.963
+ ,134.209
+ ,100.757
+ ,0.01813
+ ,0.00015
+ ,0.01117
+ ,0.00718
+ ,0.04912
+ ,0.438
+ ,0.02916
+ ,1
+ ,126.144
+ ,154.284
+ ,97.543
+ ,0.00975
+ ,0.00008
+ ,0.00593
+ ,0.00454
+ ,0.02852
+ ,0.266
+ ,0.02157
+ ,1
+ ,127.93
+ ,138.752
+ ,112.173
+ ,0.00605
+ ,0.00005
+ ,0.00321
+ ,0.00318
+ ,0.03235
+ ,0.339
+ ,0.03105
+ ,1
+ ,114.238
+ ,124.393
+ ,77.022
+ ,0.00581
+ ,0.00005
+ ,0.00299
+ ,0.00316
+ ,0.04009
+ ,0.406
+ ,0.04114
+ ,1
+ ,115.322
+ ,135.738
+ ,107.802
+ ,0.00619
+ ,0.00005
+ ,0.00352
+ ,0.00329
+ ,0.03273
+ ,0.325
+ ,0.02931
+ ,1
+ ,114.554
+ ,126.778
+ ,91.121
+ ,0.00651
+ ,0.00006
+ ,0.00366
+ ,0.0034
+ ,0.03658
+ ,0.369
+ ,0.03091
+ ,1
+ ,112.15
+ ,131.669
+ ,97.527
+ ,0.00519
+ ,0.00005
+ ,0.00291
+ ,0.00284
+ ,0.01756
+ ,0.155
+ ,0.01363
+ ,1
+ ,102.273
+ ,142.83
+ ,85.902
+ ,0.00907
+ ,0.00009
+ ,0.00493
+ ,0.00461
+ ,0.02814
+ ,0.272
+ ,0.02073
+ ,1
+ ,236.2
+ ,244.663
+ ,102.137
+ ,0.00277
+ ,0.00001
+ ,0.00154
+ ,0.00153
+ ,0.02448
+ ,0.217
+ ,0.01621
+ ,0
+ ,237.323
+ ,243.709
+ ,229.256
+ ,0.00303
+ ,0.00001
+ ,0.00173
+ ,0.00159
+ ,0.01242
+ ,0.116
+ ,0.00882
+ ,0
+ ,260.105
+ ,264.919
+ ,237.303
+ ,0.00339
+ ,0.00001
+ ,0.00205
+ ,0.00186
+ ,0.0203
+ ,0.197
+ ,0.01367
+ ,0
+ ,197.569
+ ,217.627
+ ,90.794
+ ,0.00803
+ ,0.00004
+ ,0.0049
+ ,0.00448
+ ,0.02177
+ ,0.189
+ ,0.01439
+ ,0
+ ,240.301
+ ,245.135
+ ,219.783
+ ,0.00517
+ ,0.00002
+ ,0.00316
+ ,0.00283
+ ,0.02018
+ ,0.212
+ ,0.01344
+ ,0
+ ,244.99
+ ,272.21
+ ,239.17
+ ,0.00451
+ ,0.00002
+ ,0.00279
+ ,0.00237
+ ,0.01897
+ ,0.181
+ ,0.01255
+ ,0
+ ,112.547
+ ,133.374
+ ,105.715
+ ,0.00355
+ ,0.00003
+ ,0.00166
+ ,0.0019
+ ,0.01358
+ ,0.129
+ ,0.0114
+ ,0
+ ,110.739
+ ,113.597
+ ,100.139
+ ,0.00356
+ ,0.00003
+ ,0.0017
+ ,0.002
+ ,0.01484
+ ,0.133
+ ,0.01285
+ ,0
+ ,113.715
+ ,116.443
+ ,96.913
+ ,0.00349
+ ,0.00003
+ ,0.00171
+ ,0.00203
+ ,0.01472
+ ,0.133
+ ,0.01148
+ ,0
+ ,117.004
+ ,144.466
+ ,99.923
+ ,0.00353
+ ,0.00003
+ ,0.00176
+ ,0.00218
+ ,0.01657
+ ,0.145
+ ,0.01318
+ ,0
+ ,115.38
+ ,123.109
+ ,108.634
+ ,0.00332
+ ,0.00003
+ ,0.0016
+ ,0.00199
+ ,0.01503
+ ,0.137
+ ,0.01133
+ ,0
+ ,116.388
+ ,129.038
+ ,108.97
+ ,0.00346
+ ,0.00003
+ ,0.00169
+ ,0.00213
+ ,0.01725
+ ,0.155
+ ,0.01331
+ ,0
+ ,151.737
+ ,190.204
+ ,129.859
+ ,0.00314
+ ,0.00002
+ ,0.00135
+ ,0.00162
+ ,0.01469
+ ,0.132
+ ,0.0123
+ ,1
+ ,148.79
+ ,158.359
+ ,138.99
+ ,0.00309
+ ,0.00002
+ ,0.00152
+ ,0.00186
+ ,0.01574
+ ,0.142
+ ,0.01309
+ ,1
+ ,148.143
+ ,155.982
+ ,135.041
+ ,0.00392
+ ,0.00003
+ ,0.00204
+ ,0.00231
+ ,0.0145
+ ,0.131
+ ,0.01263
+ ,1
+ ,150.44
+ ,163.441
+ ,144.736
+ ,0.00396
+ ,0.00003
+ ,0.00206
+ ,0.00233
+ ,0.02551
+ ,0.237
+ ,0.02148
+ ,1
+ ,148.462
+ ,161.078
+ ,141.998
+ ,0.00397
+ ,0.00003
+ ,0.00202
+ ,0.00235
+ ,0.01831
+ ,0.163
+ ,0.01559
+ ,1
+ ,149.818
+ ,163.417
+ ,144.786
+ ,0.00336
+ ,0.00002
+ ,0.00174
+ ,0.00198
+ ,0.02145
+ ,0.198
+ ,0.01666
+ ,1
+ ,117.226
+ ,123.925
+ ,106.656
+ ,0.00417
+ ,0.00004
+ ,0.00186
+ ,0.0027
+ ,0.01909
+ ,0.171
+ ,0.01949
+ ,0
+ ,116.848
+ ,217.552
+ ,99.503
+ ,0.00531
+ ,0.00005
+ ,0.0026
+ ,0.00346
+ ,0.01795
+ ,0.163
+ ,0.01756
+ ,0
+ ,116.286
+ ,177.291
+ ,96.983
+ ,0.00314
+ ,0.00003
+ ,0.00134
+ ,0.00192
+ ,0.01564
+ ,0.136
+ ,0.01691
+ ,0
+ ,116.556
+ ,592.03
+ ,86.228
+ ,0.00496
+ ,0.00004
+ ,0.00254
+ ,0.00263
+ ,0.0166
+ ,0.154
+ ,0.01491
+ ,0
+ ,116.342
+ ,581.289
+ ,94.246
+ ,0.00267
+ ,0.00002
+ ,0.00115
+ ,0.00148
+ ,0.013
+ ,0.117
+ ,0.01144
+ ,0
+ ,114.563
+ ,119.167
+ ,86.647
+ ,0.00327
+ ,0.00003
+ ,0.00146
+ ,0.00184
+ ,0.01185
+ ,0.106
+ ,0.01095
+ ,0
+ ,201.774
+ ,262.707
+ ,78.228
+ ,0.00694
+ ,0.00003
+ ,0.00412
+ ,0.00396
+ ,0.02574
+ ,0.255
+ ,0.01758
+ ,0
+ ,174.188
+ ,230.978
+ ,94.261
+ ,0.00459
+ ,0.00003
+ ,0.00263
+ ,0.00259
+ ,0.04087
+ ,0.405
+ ,0.02745
+ ,0
+ ,209.516
+ ,253.017
+ ,89.488
+ ,0.00564
+ ,0.00003
+ ,0.00331
+ ,0.00292
+ ,0.02751
+ ,0.263
+ ,0.01879
+ ,0
+ ,174.688
+ ,240.005
+ ,74.287
+ ,0.0136
+ ,0.00008
+ ,0.00624
+ ,0.00564
+ ,0.02308
+ ,0.256
+ ,0.01667
+ ,0
+ ,198.764
+ ,396.961
+ ,74.904
+ ,0.0074
+ ,0.00004
+ ,0.0037
+ ,0.0039
+ ,0.02296
+ ,0.241
+ ,0.01588
+ ,0
+ ,214.289
+ ,260.277
+ ,77.973
+ ,0.00567
+ ,0.00003
+ ,0.00295
+ ,0.00317
+ ,0.01884
+ ,0.19
+ ,0.01373
+ ,0)
+ ,dim=c(11
+ ,195)
+ ,dimnames=list(c('MDVP:Fo(Hz)'
+ ,'MDVP:Fhi(Hz)'
+ ,'MDVP:Flo(Hz)'
+ ,'MDVP:Jitter(%)'
+ ,'MDVP:Jitter(Abs)'
+ ,'MDVP:RAP'
+ ,'MDVP:PPQ'
+ ,'MDVP:Shimmer'
+ ,'MDVP:Shimmer(dB)'
+ ,'MDVP:APQ'
+ ,'status')
+ ,1:195))
>  y <- array(NA,dim=c(11,195),dimnames=list(c('MDVP:Fo(Hz)','MDVP:Fhi(Hz)','MDVP:Flo(Hz)','MDVP:Jitter(%)','MDVP:Jitter(Abs)','MDVP:RAP','MDVP:PPQ','MDVP:Shimmer','MDVP:Shimmer(dB)','MDVP:APQ','status'),1:195))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'pearson'
> main = 'Scatter Plots and p-values'
> par1 <- 'pearson'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Patrick Wessa, (2013), Multivariate Correlation Matrix (v1.0.7) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp/
> #Source of accompanying publication: 
> #
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$p.value,2)
+ txt <- format(c(r, 0.123456789), digits=digits)[1]
+ txt <- paste(prefix, txt, sep='')
+ if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
+ text(0.5, 0.5, txt, cex = cex)
+ }
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/fisher/rcomp/tmp/15krd1386519599.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 11
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/2r0be1386519599.tab") 
> ncorrs <- (n*n -n)/2
> mycorrs <- array(0, dim=c(10,3))
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'pair',1,TRUE)
> a<-table.element(a,'Pearson r',1,TRUE)
> a<-table.element(a,'Spearman rho',1,TRUE)
> a<-table.element(a,'Kendall tau',1,TRUE)
> a<-table.row.end(a)
> cor.test(y[1,],y[2,],method=par1)

	Pearson's product-moment correlation

data:  y[1, ] and y[2, ]
t = 6.0809, df = 193, p-value = 6.282e-09
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
 0.2760244 0.5126146
sample estimates:
      cor 
0.4009847 

> for (i in 1:(n-1))
+ {
+ for (j in (i+1):n)
+ {
+ a<-table.row.start(a)
+ dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
+ a<-table.element(a,dum,header=TRUE)
+ rp <- cor.test(y[i,],y[j,],method='pearson')
+ a<-table.element(a,round(rp$estimate,4))
+ rs <- cor.test(y[i,],y[j,],method='spearman')
+ a<-table.element(a,round(rs$estimate,4))
+ rk <- cor.test(y[i,],y[j,],method='kendall')
+ a<-table.element(a,round(rk$estimate,4))
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-value',header=T)
+ a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
+ a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
+ a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
+ a<-table.row.end(a)
+ for (iii in 1:10) {
+ iiid100 <- iii / 100
+ if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1
+ if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1
+ if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1
+ }
+ }
+ }
There were 50 or more warnings (use warnings() to see the first 50)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/3iuzv1386519599.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Type I error',1,TRUE)
> a<-table.element(a,'Pearson r',1,TRUE)
> a<-table.element(a,'Spearman rho',1,TRUE)
> a<-table.element(a,'Kendall tau',1,TRUE)
> a<-table.row.end(a)
> for (iii in 1:10) {
+ iiid100 <- iii / 100
+ a<-table.row.start(a)
+ a<-table.element(a,round(iiid100,2),header=T)
+ a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2))
+ a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2))
+ a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/4a9zh1386519599.tab") 
> 
> try(system("convert tmp/15krd1386519599.ps tmp/15krd1386519599.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
 12.434   1.953  14.342