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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 13 Dec 2011 12:43:53 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/13/t13237984305fo7pjyw45wi1a5.htm/, Retrieved Thu, 02 May 2024 23:38:45 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154579, Retrieved Thu, 02 May 2024 23:38:45 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [WS10_kendall] [2011-12-13 17:43:53] [15b176dce75b54ed867df2f0f1df7481] [Current]

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Dataseries X:

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Histogram

Boxplots

0	0	1	40	2898
1	0	1	26	994
0	2	0	38	3977
0	2	1	37	3040
0	2	0	38	3523
0	5	1	40	3100
1	6	0	40	3670
1	7	0	41	3097
1	7	1	39	3040
1	7	1	39	3239
0	8	0	38	2955
0	8	0	38	2200
1	8	0	40	3182
0	8	0	40	3510
1	8	1	39	3381
1	8	0	40	3530
1	8	1	38	2985
1	8	0	39	3374
0	8	0	42	3765
1	8	0	39	2715
1	8	0	39	3640
1	8	0	42	3040
1	8	0	39	3670
1	9	1	38	2775
1	9	0	38	2680
1	9	0	37	2699
1	9	1	38	2557
1	9	0	40	3835
0	9	1	41	3381
1	9	0	36	2766
1	9	0	41	3125
1	9	1	38	2557
1	9	0	38	2950
0	9	0	40	3779
0	9	0	41	2760
1	9	0	39	3011
1	9	1	37	2415
1	9	0	38	3125
0	9	1	38	3154
0	9	0	39	3170
0	9	0	41	2784
1	9	1	40	2475
1	9	0	40	2642
0	9	1	40	4034
0	9	0	41	3988
1	9	0	40	3370
0	9	0	40	2955
1	9	0	40	2443
0	9	0	38	4000
1	9	0	37	3630
1	9	0	39	2920
1	9	1	35	2727
0	9	0	38	3800
0	9	0	40	3771
1	9	0	37	3075
1	9	1	37	2415
1	9	0	37	2890
0	9	0	37	3892
1	9	1	40	3125
0	9	1	42	3892
0	9	0	39	3296
0	9	0	38	3120
0	9	1	38	1710
1	10	0	41	3068
1	10	0	41	3779
1	10	1	40	2898
0	10	0	40	3381
1	10	1	40	3324
1	10	1	38	2727
0	10	1	37	2642
1	10	1	34	2244
0	10	0	36	2528
0	10	1	39	3352
0	10	1	39	3551
0	10	0	40	3267
1	10	0	40	3210
1	10	0	40	3395
0	10	1	40	3068
1	10	1	39	3420
1	10	0	38	2985
1	10	0	33	2147
1	10	0	39	2863
1	10	0	38	3125
0	10	0	40	4290
1	10	1	34	2585
1	10	0	38	2869
1	10	1	36	3097
1	10	0	39	2756
0	10	1	35	3125
0	10	1	41	3921
1	10	0	40	3438
1	10	0	40	2980
1	10	0	36	2869
0	10	1	41	4830
0	10	1	40	3409
1	10	0	41	3807
1	10	1	39	3220
0	10	1	38	2756
0	10	1	38	3097
1	10	0	39	3615
0	10	0	40	2926
1	10	0	40	4050
1	10	0	38	2840
1	10	0	41	2671
1	10	0	38	3540
1	10	0	38	2900
0	10	0	40	3779
1	10	0	38	2740
1	10	0	35	2320
1	10	0	38	2905
1	10	1	39	3070
0	10	1	41	3352
1	10	0	36	2581
1	10	0	41	4091
1	10	1	43	3235
1	10	0	41	3722
1	10	1	40	3438
0	10	0	40	3475
1	10	0	31	3438
1	10	0	39	3409
0	10	0	38	3040
0	10	0	38	3800
1	10	1	36	3182
1	10	1	39	3494
1	10	1	35	2131
1	10	0	35	1790
0	10	0	40	3864
1	10	0	39	2955
0	10	0	40	3949
1	10	0	35	2273
1	10	0	39	2620
1	10	0	36	2205
1	10	0	41	2860
1	10	0	40	3381
1	10	0	40	3190
1	10	0	40	3267
0	10	1	40	3665
1	10	0	38	3160
1	10	0	39	3216
1	10	1	37	2415
1	10	0	40	3200
0	10	0	40	3352
1	10	1	40	3470
1	10	0	38	3580
0	10	0	41	3750
1	10	0	42	3035
1	10	0	38	3438
1	10	0	38	3068
0	10	0	39	3438
1	10	1	38	3750
1	10	1	42	3409
1	10	1	39	1790
1	10	0	40	3170
0	10	0	38	3800
1	10	1	40	2825
1	10	0	37	2756
1	10	0	40	3040
0	10	1	39	2585
1	10	1	38	2756
0	10	1	41	3523
1	10	1	26	909
0	10	1	40	3779
1	10	1	38	2415
0	10	0	40	3665
1	10	0	39	3295
1	10	1	39	2699
0	10	1	39	3267
1	10	0	39	3460
1	11	0	28	1250
1	11	0	38	3730
1	11	1	40	3523
1	11	1	40	3011
1	11	1	39	3740
1	11	1	43	3949
0	11	1	37	2330
0	11	0	40	3182
1	11	0	39	3040
1	11	0	37	2557
0	11	0	38	3147
1	11	1	36	2671
1	11	1	40	2557
1	11	0	38	3200
1	11	0	41	3203
1	11	1	36	2756
1	11	0	32	1619
1	11	1	35	2330
1	11	1	39	3381
0	11	1	38	2983
0	11	1	38	2600
1	11	0	40	3585
0	11	0	40	3693
1	11	0	38	3020
1	11	1	34	1800
1	11	0	38	2290
1	11	0	40	3750
0	11	0	40	3551
0	11	0	37	3779
0	11	0	38	3125
1	11	0	38	3470
1	11	0	41	3210
1	11	1	40	3100
1	11	1	38	3182
1	11	0	37	3355
1	11	0	42	2750
1	11	0	39	4006
1	11	0	38	3438
0	11	0	40	3068
1	11	1	40	2650
1	11	0	39	3005
1	11	0	39	2993
1	11	0	40	3494
1	11	0	41	2795
1	11	0	41	3260
1	11	1	41	2959
1	11	0	38	4020
0	11	0	37	2949
1	11	0	38	3900
1	11	1	39	2926
1	11	1	38	3239
1	11	0	41	3409
1	11	0	42	3630
1	11	0	41	3466
1	11	0	40	2330
0	11	1	40	3949
1	11	1	38	2813
1	11	0	37	3137
0	11	0	40	3296
1	11	0	41	3267
1	11	0	38	2940
1	11	0	40	3323
1	11	1	37	3409
1	11	1	41	3296
0	11	1	40	3807
1	11	0	38	3296
1	11	1	38	2983
1	11	1	30	1680
1	11	0	39	3551
1	11	0	37	2385
1	11	0	40	3356
1	11	0	40	3466
0	11	0	41	2699
0	11	0	40	4233
1	11	1	40	2890
1	11	1	37	2443
0	11	1	39	3580
0	11	1	42	3551
1	11	1	31	2030
1	11	0	36	3125
1	11	0	37	2700
1	11	1	33	2216
0	11	1	40	3182
1	11	1	39	3040
1	11	1	39	3011
1	11	1	39	2800
1	11	0	38	3425
1	11	1	37	2760
1	11	0	41	3665
1	11	0	36	1733
1	11	0	40	2850
1	11	1	38	2485
1	11	0	40	3381
1	11	0	39	3065
1	11	0	39	3167
1	11	0	38	2635
0	11	1	40	3665
1	11	1	39	3300
0	11	0	40	3636
1	11	1	38	2813
1	11	1	42	3920
1	11	0	39	2671
1	11	0	40	3182
1	11	1	40	3409
1	11	0	37	3600
1	11	0	40	2557
1	11	0	40	3890
1	11	0	39	4148
1	11	1	32	2030
1	11	1	39	2890
1	11	1	36	2373
1	11	0	41	2977
1	11	1	38	2840
1	11	0	41	2658
0	11	1	40	2983
1	11	0	39	3700
0	12	1	40	3608
0	12	0	40	3559
1	12	0	40	3540
1	12	1	39	3440
1	12	0	39	3324
1	12	0	38	3494
1	12	0	41	3636
1	12	1	39	2813
1	12	0	39	3239
0	12	1	39	3068
1	12	0	41	3210
0	12	0	42	3892
0	12	0	39	3864
1	12	0	40	2784
0	12	0	40	3551
1	12	0	40	3608
1	12	0	39	3130
0	12	1	40	3466
1	12	0	40	3608
1	12	0	37	2225
1	12	0	36	2585
1	12	0	40	2917
1	12	0	36	2415
0	12	0	40	4489
0	12	0	40	3977
1	12	0	38	3080
1	12	0	40	3722
0	12	1	40	3097
1	12	0	40	2960
0	12	0	39	3807
0	12	0	40	3210
1	12	0	40	3210
1	12	1	20	284
1	12	0	40	3805
0	12	1	41	3267
0	12	1	41	3722
0	12	0	40	3864
0	12	1	42	4318
0	12	1	42	3807
1	12	1	22	455
0	12	0	40	3722
1	12	0	38	3324
1	12	0	40	3665
1	12	0	41	3240
1	12	0	40	3182
1	12	1	40	3040
0	12	1	40	3665
0	12	0	40	4148
0	12	0	38	3636
0	12	1	33	1591
0	12	0	39	4135
0	12	0	40	3352
1	12	1	38	3011
1	12	1	34	2301
1	12	0	40	2740
1	12	0	41	2450
0	12	1	40	2472
0	12	0	40	4148
0	12	0	40	3352
0	12	0	38	4034
0	12	0	42	3807
0	12	0	39	2926
1	12	0	40	2699
1	12	0	39	2990
0	12	0	38	2898
0	12	1	41	3864
1	12	0	40	2970
1	12	0	42	3655
1	12	0	35	2890
1	12	1	38	3980
0	12	1	40	2756
0	12	0	40	4148
0	12	0	40	3494
1	12	1	37	2830
1	12	0	39	2983
1	12	0	40	3430
1	12	0	35	2159
0	12	1	42	3125
0	12	0	40	3239
0	12	0	38	4262
1	12	0	38	3459
1	12	0	28	1190
0	12	0	40	3182
1	12	0	35	3352
0	12	0	39	2898
0	12	0	40	3154
1	12	1	28	1165
0	12	1	39	2102
1	12	0	40	3110
0	12	1	34	2367
1	12	0	39	3892
1	12	1	40	3011
1	12	0	37	3125
1	12	0	41	3490
1	12	1	38	2955
1	12	0	41	3977
0	12	0	42	3665
1	12	0	39	3355
1	12	0	40	3182
0	12	0	40	3239
1	12	0	40	2955
1	12	0	39	3182
1	12	0	38	2784
0	12	0	40	3802
1	12	1	40	3270
1	12	0	39	2225
0	12	1	36	3182
1	12	0	41	3210
0	12	0	39	3779
1	12	0	36	2415
0	12	0	40	4675
1	12	0	38	3352
1	12	1	38	2900
0	12	0	41	3864
1	12	0	40	2841
0	12	0	40	2557
0	12	0	40	3494
1	12	0	40	3438
1	12	0	36	2445
1	12	0	42	3714
1	12	0	42	2935
0	12	0	41	3381
0	12	0	41	3864
1	12	1	40	3240
1	12	0	40	2980
1	12	1	38	2710
1	12	0	40	3570
1	12	0	42	3864
0	12	1	39	2500
1	12	0	28	1160
1	12	0	39	2443
1	12	0	43	3040
0	12	0	41	3864
1	12	0	42	3205
0	12	0	33	1875
1	12	0	39	3835
0	12	1	39	2841
1	12	0	36	2926
1	12	0	40	2983
0	12	1	40	3267
1	12	1	38	2890
1	12	0	38	2443
0	12	0	38	3352
0	12	0	39	3438
1	12	1	38	3120
0	12	0	40	4176
0	12	0	42	4148
1	12	0	40	3270
0	12	0	40	3523
0	12	0	42	3020
0	12	0	38	3620
1	12	0	42	3300
0	12	0	37	3779
0	12	1	41	3665
0	12	1	40	2869
1	12	0	38	3154
0	12	1	39	2810
1	12	1	34	2131
0	12	0	40	4233
0	12	0	38	3860
1	12	0	40	3920
0	12	0	42	3693
1	12	0	40	3580
1	12	0	40	3608
1	12	1	37	2330
0	12	1	40	2813
1	12	0	37	3068
1	12	0	39	3250
1	12	0	39	3175
1	12	0	39	2940
0	12	0	41	3267
1	12	0	40	3645
0	12	0	41	4205
0	12	0	34	1818
0	12	0	35	2983
1	12	0	40	2756
0	12	0	39	2642
0	12	0	41	3182
0	12	0	41	3125
0	12	0	38	3949
0	12	0	39	3466
1	12	1	38	3250
0	12	0	40	3750
0	12	0	40	3466
0	12	1	40	2557
0	12	0	40	3722
0	12	0	40	3551
1	12	0	39	3097
1	12	0	35	1763
1	12	0	40	3610
1	12	0	39	3551
0	12	1	40	2460
1	12	0	36	2358
0	12	0	40	3779
1	12	1	40	2671
1	12	0	38	3210
0	12	0	40	4375
1	12	0	40	4160
1	12	0	40	2841
0	12	0	40	3352
1	12	1	38	2790
1	12	0	42	2540
1	12	0	39	2890
1	12	1	40	3182
0	12	0	38	2557
0	12	0	40	3551
1	12	1	40	3324
1	12	0	39	2620
1	12	0	38	3068
1	12	0	38	3150
1	12	0	40	3636
1	12	0	40	3130
0	12	0	35	2784
1	12	0	40	3520
0	12	0	40	4205
1	12	0	38	3210
0	12	0	42	3523
1	12	0	38	3125
1	12	1	39	3097
1	12	1	39	3125
1	12	0	40	2930
0	12	0	39	3665
0	12	0	40	3693
1	12	0	41	3835
1	12	0	40	3636
1	12	0	43	4165
1	12	1	38	3035
1	12	0	37	2000
1	12	1	39	2740
0	12	0	38	3608
0	12	0	39	3750
0	12	0	40	4091
1	12	0	40	3267
1	12	0	41	3097
1	12	1	40	3381
1	12	0	39	3040
0	12	0	42	3779
0	12	1	40	3523
0	12	0	40	3551
0	12	0	40	3636
0	12	1	38	3154
1	12	1	38	2841
1	12	0	37	2960
1	12	0	40	3097
1	12	0	39	3600
0	12	1	38	3409
1	12	0	39	2880
1	12	0	39	2690
0	12	0	41	3090
0	12	0	40	3409
1	12	1	32	2159
1	12	0	40	3921
0	12	0	40	2940
1	12	0	40	3400
1	12	0	40	3239
0	12	0	40	3636
1	12	0	40	4347
1	12	1	38	2977
1	12	0	42	3636
0	12	0	39	2671
0	12	0	40	3949
0	12	0	37	3608
1	12	0	40	3710
0	12	1	35	2216
1	12	0	36	2500
1	12	0	29	1450
0	12	0	40	3296
1	12	0	38	3510
1	12	0	41	3950
0	12	0	39	4176
1	12	1	40	3636
1	12	0	40	3125
0	12	0	38	3845
1	12	1	41	3523
0	12	0	39	2784
0	12	0	40	3494
0	12	0	42	4233
0	12	0	40	3779
1	12	0	39	3720
1	12	0	38	3302
0	12	0	41	3693
1	12	0	35	2580
1	12	0	38	2597
0	12	0	38	2926
0	12	0	41	4505
0	12	0	41	3977
1	12	0	41	3182
1	12	1	36	2160
1	12	0	39	3402
0	12	0	40	3239
0	12	0	39	3608
0	12	0	38	3267
0	12	0	39	3995
1	12	1	39	3068
0	12	0	40	4065
1	12	0	38	3346
0	12	0	40	3154
1	12	1	33	2515
0	12	0	39	3182
0	12	1	36	2443
0	12	0	40	3807
1	12	1	38	3130
0	12	1	40	3722
1	12	0	40	2727
0	12	1	40	3011
1	12	0	29	793
1	12	0	41	3494
1	12	0	35	2386
0	12	0	40	3466
0	12	0	38	2760
0	12	0	41	4659
0	12	0	39	3608
1	12	0	38	2557
0	12	0	40	2671
0	12	0	38	3740
1	12	1	33	2614
0	12	0	40	3949
1	12	0	39	3630
0	12	0	39	2898
1	12	0	40	3940
1	12	0	23	701
0	12	0	40	3977
1	12	1	34	2472
1	12	1	37	3011
1	12	0	39	3352
0	12	0	41	3494
0	12	0	40	4091
1	12	0	38	3530
1	12	1	36	3010
0	12	0	40	3068
1	12	0	42	3636
1	12	1	41	3665
1	12	0	42	3430
1	12	0	38	3182
1	12	0	39	3300
1	12	0	37	2557
1	12	0	37	2550
0	12	1	40	3097
0	12	0	40	3154
1	12	0	40	3625
1	12	1	40	3330
0	12	0	40	4347
0	12	0	39	3296
1	12	0	39	3154
1	12	0	41	4050
0	12	0	36	3239
0	12	0	40	3608
1	12	0	36	2500
0	12	0	41	3438
0	12	0	40	3977
1	12	1	38	2780
1	12	1	36	2189
1	12	1	34	1760
1	12	0	35	2360
0	12	1	40	3608
1	12	0	40	3892
1	12	0	39	2870
1	12	1	38	2926
0	12	0	40	3905
1	12	0	39	3020
0	12	0	39	3779
0	12	0	40	3381
1	12	0	39	3280
1	12	0	41	3154
0	12	0	40	3494
1	12	1	40	3523
0	12	0	32	1861
1	12	1	40	3360
0	12	0	40	3977
1	12	1	38	3296
0	12	0	38	3523
1	12	0	40	3693
1	12	0	39	3921
1	12	1	26	653
1	12	1	40	3494
1	12	0	41	3500
1	12	0	38	2863
0	12	0	40	3494
1	12	0	38	3335
0	12	0	40	3750
0	12	0	42	3636
1	12	1	39	4190
1	12	0	39	3540
1	12	1	40	3381
1	12	0	39	3580
1	12	0	32	2813
0	12	0	41	3494
1	12	0	42	4065
0	12	0	38	3520
1	12	0	39	3551
0	12	0	40	4063
1	12	0	39	3210
1	12	0	40	3640
0	12	1	40	2770
1	12	1	41	3750
1	12	0	41	3695
1	12	0	41	3305
0	12	0	40	3892
0	12	1	42	3210
1	12	1	40	2851
1	12	0	38	3175
1	12	0	40	3949
0	12	1	37	2727
0	12	0	42	4262
1	12	0	40	3523
0	12	0	36	2955
0	12	0	40	3239
0	12	0	40	3665
0	12	1	39	2960
1	12	0	40	3353
0	12	1	40	3864
1	12	0	39	3125
1	12	0	40	3182
0	12	0	40	3438
0	12	0	40	3921
1	12	0	39	3728
0	12	0	38	2639
1	12	1	40	3324
1	12	0	40	2869
1	12	1	38	3352
1	12	0	38	3040
1	12	0	40	3381
1	12	0	40	4517
0	12	0	40	4375
0	12	0	40	4233
0	12	0	40	2983
1	12	0	33	1720
1	12	1	39	3555
0	12	0	40	3494
1	12	0	39	1932
1	12	1	39	3068
0	12	1	40	2756
1	12	0	40	3864
1	12	1	43	4690
0	12	0	41	3977
0	12	0	39	3864
0	12	1	42	3636
1	12	1	35	3154
0	12	0	39	3352
1	12	0	38	2443
1	12	1	34	2220
1	12	0	39	3240
1	12	0	41	3087
1	12	1	37	2955
1	12	0	39	2931
1	12	0	38	3350
0	12	1	41	3324
0	12	0	42	3438
1	12	0	42	3438
1	12	0	39	3430
0	12	0	39	3750
1	12	0	40	3520
1	12	1	40	3480
0	12	1	40	2955
0	12	0	43	3722
0	12	0	41	2898
0	12	0	38	3665
1	12	0	41	3324
1	12	0	40	2841
1	12	1	41	2690
1	12	1	40	3780
0	12	0	28	1165
1	12	0	40	3381
0	12	1	40	1900
1	12	0	38	2205
1	12	0	43	2790
1	12	0	38	3380
1	12	0	38	3060
0	12	0	40	3068
1	12	0	39	3280
1	12	1	39	2443
0	12	0	38	3750
0	12	0	39	3125
1	12	0	37	3799
1	12	0	39	3665
0	12	0	39	3409
0	12	0	40	3011
1	12	0	41	3930
0	12	0	42	3267
0	12	1	39	3693
1	12	0	40	3438
0	12	0	37	2557
1	12	0	37	2637
1	12	0	42	4034
0	12	0	38	3381
1	12	1	36	2960
0	12	0	38	3210
1	12	0	39	3572
1	12	1	39	3007
0	12	0	42	3977
0	12	1	41	3693
1	12	0	40	3011
0	12	0	39	2955
1	12	0	41	3296
1	12	0	40	3605
1	12	0	38	3722
1	12	1	38	3267
0	12	0	40	3608
1	12	0	39	2983
1	12	0	34	2386
0	12	1	26	682
0	12	0	35	2784
0	12	1	38	2528
1	12	0	30	1446
1	12	0	39	3480
1	12	0	38	2727
1	12	0	40	3267
1	12	0	38	2955
1	12	0	40	3068
0	12	0	34	2330
0	12	1	40	3154
1	12	0	37	3779
0	12	0	40	3714
1	12	0	39	3135
1	12	0	36	2188
1	12	0	38	4040
0	12	1	33	1750
0	12	0	42	4205
1	12	0	39	3335
1	12	0	27	1051
0	12	0	40	2898
0	12	0	42	3580
1	12	0	36	2860
1	12	0	41	3355
0	12	1	40	2699
1	12	1	39	2000
0	13	0	40	3154
0	13	0	38	3494
1	13	0	37	3210
1	13	1	24	521
1	13	0	39	2898
0	13	1	39	2386
1	13	0	38	3154
1	13	0	39	3220
1	13	0	40	3510
0	13	0	41	3608
1	13	0	38	3225
0	13	0	40	3494
1	13	0	38	2671
0	13	1	40	2841
1	13	0	41	3466
0	13	0	40	3949
1	13	1	39	3095
1	13	0	40	2784
1	13	0	37	3523
1	13	0	40	4240
1	13	0	41	3550
1	13	0	39	3296
1	13	1	40	3170
1	13	0	37	3693
1	13	0	39	3551
1	13	0	39	3100
1	13	1	27	1095
1	13	0	40	3523
0	13	0	41	3750
1	13	1	40	3182
1	13	1	38	2617
1	13	0	34	1421
1	13	1	38	2869
0	13	0	41	3939
1	13	0	40	3494
1	13	0	40	3608
1	13	0	38	3210
1	13	0	33	1920
0	13	0	38	2898
1	13	0	40	2813
1	13	0	39	2825
1	13	0	42	4460
1	13	0	39	2975
1	13	1	39	2810
0	13	0	40	3864
1	13	1	39	2869
1	13	0	40	3977
0	13	0	41	3665
1	13	0	40	3494
1	13	0	41	3180
1	13	0	40	3040
0	13	0	39	4091
1	13	0	38	3182
1	13	0	40	3296
1	13	0	40	4091
0	13	0	41	3779
0	13	1	20	410
1	13	0	40	3750
1	13	0	40	3010
1	13	0	40	3324
1	13	0	37	2926
1	13	0	38	3580
1	13	0	40	3636
1	13	0	40	3324
1	13	0	39	3324
1	14	0	40	3352
0	14	0	40	3352
0	14	0	37	3125
0	14	0	41	3448
0	14	0	41	3494
1	14	0	40	3608
1	14	0	40	3779
1	14	0	40	3860
0	14	0	40	3921
0	14	0	36	2642
1	14	0	40	3285
1	14	0	40	3835
1	14	0	40	3250
0	14	0	40	3210
1	14	0	40	3892
0	14	0	42	4546
0	14	0	38	3864
1	14	0	38	3210
1	14	0	41	3420
1	14	0	40	3154
1	14	0	41	2472
0	14	0	41	3665
0	14	0	38	3580
0	14	0	40	3381
0	14	0	41	3125
0	14	0	36	2880
1	14	0	38	2600
0	14	0	40	3835
1	14	1	40	3612
1	14	0	21	320
1	14	1	40	3244
1	14	1	40	3296
0	14	0	40	3693
0	14	0	40	3679
1	14	0	40	3450
1	14	0	39	3977
1	14	0	39	3154
1	14	0	39	4034
1	14	0	42	3160
1	14	0	22	682
1	14	0	38	3045
0	14	0	40	3409
1	14	0	40	3352
1	14	1	40	3665
1	14	1	40	3020
1	14	0	40	2557
0	14	0	40	4404
1	14	0	39	2840
1	14	1	40	3500
0	14	0	40	4063
0	14	0	40	4574
1	14	0	40	4006
0	14	1	40	3636
1	14	0	42	3494
1	14	0	41	3210
1	14	0	40	3409
1	14	0	37	2585
1	14	1	38	2555
0	14	0	41	3523
1	14	0	37	3155
0	14	1	40	3381
1	14	0	40	2983
0	14	1	42	3892
1	14	0	40	3324
0	14	0	40	3296
0	14	0	37	2443
0	14	1	39	3580
0	14	0	40	2784
0	14	1	39	3835
0	14	0	40	3721
0	14	0	39	3210
0	14	0	40	3892
1	14	0	39	2841
1	14	0	38	3068
1	14	0	36	2690
1	14	0	40	3025
0	14	0	39	4063
0	14	0	39	3551
1	14	0	38	3625
1	14	1	38	3210
1	14	0	38	2955
1	14	0	39	3230
1	14	0	39	3154
0	15	0	40	3438
1	15	0	40	4404
1	15	0	39	3615
0	15	0	40	4659
1	15	1	40	2841
0	15	0	40	4006
1	15	0	39	2869
1	15	0	22	470
0	15	0	40	3296
1	15	0	40	3728
0	15	0	39	3068
0	15	0	38	2585
1	15	0	39	3296
0	15	0	40	3438
0	15	0	41	3068
1	15	0	39	3438
1	15	0	35	3040
0	15	0	39	3523
1	15	0	41	2926
1	15	0	37	2301
0	15	0	39	3409
1	15	0	40	3324
0	15	0	38	3580
1	15	0	42	3722
1	15	0	38	2869
0	15	0	42	4119
1	15	1	40	3540
0	16	0	39	3352
1	16	1	38	4347
0	16	0	38	3097
1	16	0	39	4091
1	16	0	40	3381
0	16	0	40	2727
0	16	0	40	3864
0	16	0	42	2869
1	16	0	37	3523
0	16	0	39	2528
1	16	0	38	3324
1	16	1	39	2983
0	16	0	42	4148
1	16	0	35	2760
1	16	0	41	4480
0	16	0	39	3015
1	16	0	40	2898
1	16	0	41	3720
1	16	0	38	4176
0	16	0	42	3608
0	16	0	36	2756
1	16	1	38	2950
0	16	0	42	3210
0	16	0	40	2926
1	16	0	40	3154
0	16	0	39	3090
1	16	0	39	3324
0	16	0	39	2955
1	16	0	41	4432
0	16	0	39	3864
0	16	0	37	3068
1	16	0	39	3665
0	16	0	41	3352
1	16	0	39	2815
0	16	0	40	3630
0	16	0	39	3040
1	16	0	38	3011
0	16	0	38	3523
0	16	0	39	3494
0	16	1	38	3466
0	16	0	41	3921
0	16	0	42	3835
1	16	0	41	3381
0	16	0	40	3494
1	16	0	38	4100
0	16	0	39	3779
0	16	0	40	3864
0	16	0	39	3324
1	16	0	37	2479
0	16	0	39	3693
0	16	0	40	4148
0	16	0	40	3210
1	16	0	41	3458
0	16	0	40	4347
1	16	1	38	3296
1	16	0	37	2720
0	16	0	41	3636
0	16	0	35	3665
0	16	0	39	3551
1	16	0	39	4830
0	16	0	41	3864
1	16	0	40	3210
1	16	0	40	3807
0	16	0	38	4460
0	16	0	40	3608
1	16	0	38	3502
0	16	0	39	3239
0	16	0	41	3892
1	16	0	37	2995
0	16	0	39	3665
0	16	1	40	3381
0	16	1	41	3466
0	16	0	40	3892
0	16	0	41	3438
1	16	0	40	2955
0	16	0	41	3190
0	16	0	39	3060
1	16	0	39	2699
0	16	0	40	4375
0	16	0	40	3722
0	16	0	38	3580
1	16	0	39	3494
0	16	0	41	3835
1	16	0	40	3750
0	16	0	39	3152
1	17	0	38	3523
0	17	0	40	3636
0	17	0	38	3523
1	17	0	39	2727
0	17	0	38	3040
0	17	0	38	3182
1	17	0	40	3494
1	17	0	39	2813
0	17	0	40	2727
1	17	0	39	3875
0	17	0	40	3921
0	17	0	39	2642
0	17	0	39	2410
1	17	0	31	997
0	17	0	38	3409
1	17	0	39	2557
0	17	0	41	3523
0	17	0	41	3921
0	17	0	42	3486
0	17	0	39	3739
0	17	0	38	3864
0	17	0	39	3267
0	17	0	39	3523
0	17	0	37	3011
1	17	0	33	1875
0	17	0	36	2330
0	17	0	41	3351
0	17	0	40	4006
0	17	0	38	2671
0	17	0	40	2784
1	17	0	38	2700
0	17	0	38	3324
0	17	0	41	3660
0	17	0	40	3125
1	17	0	40	3466
0	17	0	37	3197
0	17	0	39	3296
1	17	0	38	3415
1	17	0	40	3320
1	17	0	40	3315
0	17	0	40	3068
0	17	0	40	4318
0	17	0	40	4034
0	17	0	40	3608
0	17	0	40	3352

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154579&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154579&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154579&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'AstonUniversity' @ aston.wessa.net

Correlations for all pairs of data series (method=kendall)
	black	edu	smoke	gestate	grams
black	1	-0.139	0.053	-0.177	-0.23
edu	-0.139	1	-0.209	0.063	0.105
smoke	0.053	-0.209	1	-0.109	-0.192
gestate	-0.177	0.063	-0.109	1	0.37
grams	-0.23	0.105	-0.192	0.37	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & black & edu & smoke & gestate & grams \tabularnewline
black & 1 & -0.139 & 0.053 & -0.177 & -0.23 \tabularnewline
edu & -0.139 & 1 & -0.209 & 0.063 & 0.105 \tabularnewline
smoke & 0.053 & -0.209 & 1 & -0.109 & -0.192 \tabularnewline
gestate & -0.177 & 0.063 & -0.109 & 1 & 0.37 \tabularnewline
grams & -0.23 & 0.105 & -0.192 & 0.37 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154579&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]black[/C][C]edu[/C][C]smoke[/C][C]gestate[/C][C]grams[/C][/ROW]
[ROW][C]black[/C][C]1[/C][C]-0.139[/C][C]0.053[/C][C]-0.177[/C][C]-0.23[/C][/ROW]
[ROW][C]edu[/C][C]-0.139[/C][C]1[/C][C]-0.209[/C][C]0.063[/C][C]0.105[/C][/ROW]
[ROW][C]smoke[/C][C]0.053[/C][C]-0.209[/C][C]1[/C][C]-0.109[/C][C]-0.192[/C][/ROW]
[ROW][C]gestate[/C][C]-0.177[/C][C]0.063[/C][C]-0.109[/C][C]1[/C][C]0.37[/C][/ROW]
[ROW][C]grams[/C][C]-0.23[/C][C]0.105[/C][C]-0.192[/C][C]0.37[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154579&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154579&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=kendall)
	black	edu	smoke	gestate	grams
black	1	-0.139	0.053	-0.177	-0.23
edu	-0.139	1	-0.209	0.063	0.105
smoke	0.053	-0.209	1	-0.109	-0.192
gestate	-0.177	0.063	-0.109	1	0.37
grams	-0.23	0.105	-0.192	0.37	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
black;edu	-0.1446	-0.1553	-0.1392
p-value	(0)	(0)	(0)
black;smoke	0.0535	0.0535	0.0535
p-value	(0.0744)	(0.0744)	(0.0744)
black;gestate	-0.1727	-0.1995	-0.1767
p-value	(0)	(0)	(0)
black;grams	-0.2561	-0.2807	-0.2301
p-value	(0)	(0)	(0)
edu;smoke	-0.2257	-0.2331	-0.209
p-value	(0)	(0)	(0)
edu;gestate	0.0625	0.0812	0.0628
p-value	(0.037)	(0.0066)	(0.0083)
edu;grams	0.1187	0.1441	0.1051
p-value	(1e-04)	(0)	(0)
smoke;gestate	-0.1448	-0.1228	-0.1088
p-value	(0)	(0)	(0)
smoke;grams	-0.2281	-0.2347	-0.1924
p-value	(0)	(0)	(0)
gestate;grams	0.702	0.482	0.3702
p-value	(0)	(0)	(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
black;edu & -0.1446 & -0.1553 & -0.1392 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
black;smoke & 0.0535 & 0.0535 & 0.0535 \tabularnewline
p-value & (0.0744) & (0.0744) & (0.0744) \tabularnewline
black;gestate & -0.1727 & -0.1995 & -0.1767 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
black;grams & -0.2561 & -0.2807 & -0.2301 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
edu;smoke & -0.2257 & -0.2331 & -0.209 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
edu;gestate & 0.0625 & 0.0812 & 0.0628 \tabularnewline
p-value & (0.037) & (0.0066) & (0.0083) \tabularnewline
edu;grams & 0.1187 & 0.1441 & 0.1051 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
smoke;gestate & -0.1448 & -0.1228 & -0.1088 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
smoke;grams & -0.2281 & -0.2347 & -0.1924 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
gestate;grams & 0.702 & 0.482 & 0.3702 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154579&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]black;edu[/C][C]-0.1446[/C][C]-0.1553[/C][C]-0.1392[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]black;smoke[/C][C]0.0535[/C][C]0.0535[/C][C]0.0535[/C][/ROW]
[ROW][C]p-value[/C][C](0.0744)[/C][C](0.0744)[/C][C](0.0744)[/C][/ROW]
[ROW][C]black;gestate[/C][C]-0.1727[/C][C]-0.1995[/C][C]-0.1767[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]black;grams[/C][C]-0.2561[/C][C]-0.2807[/C][C]-0.2301[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]edu;smoke[/C][C]-0.2257[/C][C]-0.2331[/C][C]-0.209[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]edu;gestate[/C][C]0.0625[/C][C]0.0812[/C][C]0.0628[/C][/ROW]
[ROW][C]p-value[/C][C](0.037)[/C][C](0.0066)[/C][C](0.0083)[/C][/ROW]
[ROW][C]edu;grams[/C][C]0.1187[/C][C]0.1441[/C][C]0.1051[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]smoke;gestate[/C][C]-0.1448[/C][C]-0.1228[/C][C]-0.1088[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]smoke;grams[/C][C]-0.2281[/C][C]-0.2347[/C][C]-0.1924[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]gestate;grams[/C][C]0.702[/C][C]0.482[/C][C]0.3702[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154579&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154579&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
black;edu	-0.1446	-0.1553	-0.1392
p-value	(0)	(0)	(0)
black;smoke	0.0535	0.0535	0.0535
p-value	(0.0744)	(0.0744)	(0.0744)
black;gestate	-0.1727	-0.1995	-0.1767
p-value	(0)	(0)	(0)
black;grams	-0.2561	-0.2807	-0.2301
p-value	(0)	(0)	(0)
edu;smoke	-0.2257	-0.2331	-0.209
p-value	(0)	(0)	(0)
edu;gestate	0.0625	0.0812	0.0628
p-value	(0.037)	(0.0066)	(0.0083)
edu;grams	0.1187	0.1441	0.1051
p-value	(1e-04)	(0)	(0)
smoke;gestate	-0.1448	-0.1228	-0.1088
p-value	(0)	(0)	(0)
smoke;grams	-0.2281	-0.2347	-0.1924
p-value	(0)	(0)	(0)
gestate;grams	0.702	0.482	0.3702
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

R code (references can be found in the software module):

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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
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)
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)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code