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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 21 Dec 2011 09:25:57 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/21/t13244775763wmpf4cwlkocxo8.htm/, Retrieved Tue, 07 May 2024 11:13:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=158733, Retrieved Tue, 07 May 2024 11:13:22 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact40
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2011-12-21 14:25:57] [653afb2978baeb5aa3033734b316aa0e] [Current]
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Dataseries X:
1801	159261	48	19	67	20465	6200	23975
1717	189672	53	20	56	33629	10265	85634
192	7215	0	0	0	1423	603	1929
2295	129098	51	27	63	25629	8874	36294
3450	230632	76	31	116	54002	20323	72255
6861	515038	136	36	138	151036	26258	189748
1795	180745	62	23	71	33287	10165	61834
1681	185559	83	30	107	31172	8247	68167
1897	154581	55	30	50	28113	8683	38462
2974	298001	67	26	79	57803	16957	101219
1946	121844	50	24	58	49830	8058	43270
2148	184039	77	30	91	52143	20488	76183
1832	100324	46	22	41	21055	7945	31476
3157	217742	79	28	100	47007	13448	62157
1476	168265	56	18	61	28735	5389	46261
1567	154647	54	22	74	59147	6185	50063
1756	142018	81	33	131	78950	24369	64483
1247	79030	6	15	45	13497	70	2341
2779	167047	74	34	110	46154	17327	48149
726	27997	13	18	41	53249	3878	12743
1048	73019	22	15	37	10726	3149	18743
2805	241082	99	30	84	83700	20517	97057
1760	195820	38	25	67	40400	2570	17675
2266	142001	59	34	69	33797	5162	33106
1848	145433	50	21	58	36205	5299	53311
1665	183744	50	21	60	30165	7233	42754
2082	202232	61	25	88	58534	15657	59056
1440	199532	87	31	75	44663	15329	101621
2741	354924	60	31	98	92556	14881	118120
2112	192399	52	20	67	40078	16318	79572
1684	182286	61	28	84	34711	9556	42744
1616	181590	60	22	62	31076	10462	65931
2227	133801	53	17	35	74608	7192	38575
3088	233686	76	25	74	58092	4362	28795
2389	219428	63	24	89	42009	14349	94440
1	0	0	0	0	0	0	0
2099	223044	54	28	79	36022	10881	38229
1669	100129	44	14	39	23333	8022	31972
2095	136733	36	35	101	53349	13073	40071
2153	249965	83	34	135	92596	26641	132480
2390	242379	105	22	76	49598	14426	62797
1701	145794	37	34	118	44093	15604	40429
983	96404	25	23	76	84205	9184	45545
2161	195891	64	24	65	63369	5989	57568
1276	117156	55	26	97	60132	11270	39019
1190	157787	41	22	67	37403	13958	53866
745	81293	23	35	63	24460	7162	38345
2330	237435	75	24	96	46456	13275	50210
2289	233155	59	31	112	66616	21224	80947
2639	160344	68	26	75	41554	10615	43461
658	48188	12	22	39	22346	2102	14812
1917	161922	99	21	63	30874	12396	37819
2557	307432	78	27	93	68701	18717	102738
2026	235223	56	30	76	35728	9724	54509
1911	195583	67	33	117	29010	9863	62956
1716	146061	40	11	30	23110	8374	55411
1852	208834	53	26	65	38844	8030	50611
981	93764	26	26	78	27084	7509	26692
1177	151985	67	23	87	35139	14146	60056
2809	190545	36	38	85	57476	7768	25155
1688	148922	50	31	115	33277	13823	42840
2097	132856	48	20	62	31141	7230	39358
1331	129561	46	22	60	61281	10170	47241
1244	112718	53	26	67	25820	7573	49611
1256	160930	27	26	90	23284	5753	41833
1293	99184	38	33	100	35378	9791	48930
2303	192535	71	36	135	74990	19365	110600
2897	138708	93	25	71	29653	9422	52235
1103	114408	59	24	75	64622	12310	53986
340	31970	5	21	42	4157	1283	4105
2791	225558	53	19	42	29245	6372	59331
1333	137011	40	12	8	50008	5413	47796
1441	113612	72	30	86	52338	10837	38302
1623	108641	51	21	41	13310	3394	14063
2650	162203	81	34	118	92901	12964	54414
1499	100098	27	32	91	10956	3495	9903
2302	174768	94	28	102	34241	11580	53987
2540	158459	71	28	89	75043	9970	88937
1000	80934	20	21	46	21152	4911	21928
1234	84971	34	31	60	42249	10138	29487
927	80545	54	26	69	42005	14697	35334
2176	287191	49	29	95	41152	8464	57596
957	62974	26	23	17	14399	4204	29750
1551	134091	48	25	61	28263	10226	41029
1014	75555	35	22	55	17215	3456	12416
1771	162154	32	26	55	48140	8895	51158
2613	226638	55	33	124	62897	22557	79935
1203	115019	58	24	73	22883	6900	26552
1337	108749	44	24	73	41622	8620	25807
1524	155537	45	21	67	40715	7820	50620
1829	153133	49	28	66	65897	12112	61467
2229	165618	72	27	75	76542	13178	65292
1233	151517	39	25	83	37477	7028	55516
1365	133686	28	15	55	53216	6616	42006
950	61342	24	13	27	40911	9570	26273
2319	245196	52	36	115	57021	14612	90248
1857	195576	96	24	76	73116	11219	61476
223	19349	13	1	0	3895	786	9604
2390	225371	38	24	83	46609	11252	45108
1973	152796	41	31	90	29351	9289	47232
700	59117	24	4	4	2325	593	3439
1062	91762	54	21	60	31747	6562	30553
1311	136769	68	23	63	32665	8208	24751
1157	114798	28	23	52	19249	7488	34458
823	85338	36	12	24	15292	4574	24649
596	27676	2	16	17	5842	522	2342
1545	153535	91	29	105	33994	12840	52739
1130	122417	29	26	20	13018	1350	6245
0	0	0	0	0	0	0	0
1082	91529	46	25	51	98177	10623	35381
1135	107205	25	21	76	37941	5322	19595
1367	144664	51	23	59	31032	7987	50848
1452	136540	59	21	70	32683	10566	39443
870	76656	36	21	38	34545	1900	27023
78	3616	0	0	0	0	0	0
0	0	0	0	0	0	0	0
1127	183065	40	23	81	27525	10698	61022
1582	144677	68	33	78	66856	14884	63528
2034	159104	28	30	73	28549	6852	34835
919	113273	36	23	89	38610	6873	37172
778	43410	7	1	3	2781	4	13
1752	175774	70	29	87	41211	9188	62548
957	95401	30	18	51	22698	5141	31334
2098	134837	69	33	73	41194	4260	20839
731	60493	3	12	32	32689	443	5084
285	19764	10	2	4	5752	2416	9927
1834	164062	46	21	70	26757	9831	53229
1147	132696	34	28	102	22527	5953	29877
1646	155367	54	29	91	44810	9435	37310
256	11796	1	2	1	0	0	0
98	10674	0	0	0	0	0	0
1404	142261	39	18	39	100674	7642	50067
41	6836	0	1	0	0	0	0
1824	162563	48	21	45	57786	6837	47708
42	5118	5	0	0	0	0	0
528	40248	8	4	7	5444	775	6012
0	0	0	0	0	0	0	0
1073	122641	38	25	75	28470	8191	27749
1305	88837	21	26	52	61849	1661	47555
81	7131	0	0	0	0	0	0
261	9056	0	4	1	2179	548	1336
934	76611	15	17	49	8019	3080	11017
1180	132697	50	21	69	39644	13400	55184
1147	100681	17	22	56	23494	8181	43485




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=158733&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=158733&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158733&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Correlations for all pairs of data series (method=kendall)
X1YX2X3X4X5X6X7
X110.7010.5970.4670.4910.4750.5010.534
Y0.70110.5930.4360.5350.4730.5420.658
X20.5970.59310.4440.5220.4750.5820.582
X30.4670.4360.44410.6850.4280.5050.418
X40.4910.5350.5220.68510.4660.590.506
X50.4750.4730.4750.4280.46610.5490.539
X60.5010.5420.5820.5050.590.54910.657
X7 0.5340.6580.5820.4180.5060.5390.6571

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & X1 & Y & X2 & X3 & X4 & X5 & X6 & X7
 \tabularnewline
X1 & 1 & 0.701 & 0.597 & 0.467 & 0.491 & 0.475 & 0.501 & 0.534 \tabularnewline
Y & 0.701 & 1 & 0.593 & 0.436 & 0.535 & 0.473 & 0.542 & 0.658 \tabularnewline
X2 & 0.597 & 0.593 & 1 & 0.444 & 0.522 & 0.475 & 0.582 & 0.582 \tabularnewline
X3 & 0.467 & 0.436 & 0.444 & 1 & 0.685 & 0.428 & 0.505 & 0.418 \tabularnewline
X4 & 0.491 & 0.535 & 0.522 & 0.685 & 1 & 0.466 & 0.59 & 0.506 \tabularnewline
X5 & 0.475 & 0.473 & 0.475 & 0.428 & 0.466 & 1 & 0.549 & 0.539 \tabularnewline
X6 & 0.501 & 0.542 & 0.582 & 0.505 & 0.59 & 0.549 & 1 & 0.657 \tabularnewline
X7
 & 0.534 & 0.658 & 0.582 & 0.418 & 0.506 & 0.539 & 0.657 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158733&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]X1[/C][C]Y[/C][C]X2[/C][C]X3[/C][C]X4[/C][C]X5[/C][C]X6[/C][C]X7
[/C][/ROW]
[ROW][C]X1[/C][C]1[/C][C]0.701[/C][C]0.597[/C][C]0.467[/C][C]0.491[/C][C]0.475[/C][C]0.501[/C][C]0.534[/C][/ROW]
[ROW][C]Y[/C][C]0.701[/C][C]1[/C][C]0.593[/C][C]0.436[/C][C]0.535[/C][C]0.473[/C][C]0.542[/C][C]0.658[/C][/ROW]
[ROW][C]X2[/C][C]0.597[/C][C]0.593[/C][C]1[/C][C]0.444[/C][C]0.522[/C][C]0.475[/C][C]0.582[/C][C]0.582[/C][/ROW]
[ROW][C]X3[/C][C]0.467[/C][C]0.436[/C][C]0.444[/C][C]1[/C][C]0.685[/C][C]0.428[/C][C]0.505[/C][C]0.418[/C][/ROW]
[ROW][C]X4[/C][C]0.491[/C][C]0.535[/C][C]0.522[/C][C]0.685[/C][C]1[/C][C]0.466[/C][C]0.59[/C][C]0.506[/C][/ROW]
[ROW][C]X5[/C][C]0.475[/C][C]0.473[/C][C]0.475[/C][C]0.428[/C][C]0.466[/C][C]1[/C][C]0.549[/C][C]0.539[/C][/ROW]
[ROW][C]X6[/C][C]0.501[/C][C]0.542[/C][C]0.582[/C][C]0.505[/C][C]0.59[/C][C]0.549[/C][C]1[/C][C]0.657[/C][/ROW]
[ROW][C]X7
[/C][C]0.534[/C][C]0.658[/C][C]0.582[/C][C]0.418[/C][C]0.506[/C][C]0.539[/C][C]0.657[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=158733&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158733&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)
X1YX2X3X4X5X6X7
X110.7010.5970.4670.4910.4750.5010.534
Y0.70110.5930.4360.5350.4730.5420.658
X20.5970.59310.4440.5220.4750.5820.582
X30.4670.4360.44410.6850.4280.5050.418
X40.4910.5350.5220.68510.4660.590.506
X50.4750.4730.4750.4280.46610.5490.539
X60.5010.5420.5820.5050.590.54910.657
X7 0.5340.6580.5820.4180.5060.5390.6571







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
X1;Y0.89090.8660.7012
p-value(0)(0)(0)
X1;X20.79290.77230.5972
p-value(0)(0)(0)
X1;X30.67410.62560.467
p-value(0)(0)(0)
X1;X40.69550.65450.4909
p-value(0)(0)(0)
X1;X50.69270.6350.4751
p-value(0)(0)(0)
X1;X60.69530.66820.5012
p-value(0)(0)(0)
X1;X7 0.76480.710.5342
p-value(0)(0)(0)
Y;X20.78740.77250.5934
p-value(0)(0)(0)
Y;X30.67640.5890.4361
p-value(0)(0)(0)
Y;X40.73990.70960.5348
p-value(0)(0)(0)
Y;X50.68960.62640.4727
p-value(0)(0)(0)
Y;X60.74240.71460.5424
p-value(0)(0)(0)
Y;X7 0.86070.82420.6583
p-value(0)(0)(0)
X2;X30.67240.5950.4443
p-value(0)(0)(0)
X2;X40.72730.68650.5216
p-value(0)(0)(0)
X2;X50.65830.63280.4752
p-value(0)(0)(0)
X2;X60.76650.75940.5817
p-value(0)(0)(0)
X2;X7 0.76220.75820.5821
p-value(0)(0)(0)
X3;X40.88320.83570.6849
p-value(0)(0)(0)
X3;X50.61660.57270.4279
p-value(0)(0)(0)
X3;X60.68670.66130.5047
p-value(0)(0)(0)
X3;X7 0.61970.5590.4177
p-value(0)(0)(0)
X4;X50.64220.61410.4665
p-value(0)(0)(0)
X4;X60.80410.76890.5903
p-value(0)(0)(0)
X4;X7 0.71130.67750.5063
p-value(0)(0)(0)
X5;X60.72160.70840.5493
p-value(0)(0)(0)
X5;X7 0.75630.70170.5394
p-value(0)(0)(0)
X6;X7 0.84630.82170.6572
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
X1;Y & 0.8909 & 0.866 & 0.7012 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X2 & 0.7929 & 0.7723 & 0.5972 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X3 & 0.6741 & 0.6256 & 0.467 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X4 & 0.6955 & 0.6545 & 0.4909 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X5 & 0.6927 & 0.635 & 0.4751 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X6 & 0.6953 & 0.6682 & 0.5012 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X1;X7
 & 0.7648 & 0.71 & 0.5342 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X2 & 0.7874 & 0.7725 & 0.5934 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X3 & 0.6764 & 0.589 & 0.4361 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X4 & 0.7399 & 0.7096 & 0.5348 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X5 & 0.6896 & 0.6264 & 0.4727 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X6 & 0.7424 & 0.7146 & 0.5424 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Y;X7
 & 0.8607 & 0.8242 & 0.6583 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X3 & 0.6724 & 0.595 & 0.4443 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X4 & 0.7273 & 0.6865 & 0.5216 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X5 & 0.6583 & 0.6328 & 0.4752 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X6 & 0.7665 & 0.7594 & 0.5817 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X2;X7
 & 0.7622 & 0.7582 & 0.5821 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X4 & 0.8832 & 0.8357 & 0.6849 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X5 & 0.6166 & 0.5727 & 0.4279 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X6 & 0.6867 & 0.6613 & 0.5047 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X3;X7
 & 0.6197 & 0.559 & 0.4177 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X4;X5 & 0.6422 & 0.6141 & 0.4665 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X4;X6 & 0.8041 & 0.7689 & 0.5903 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X4;X7
 & 0.7113 & 0.6775 & 0.5063 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X5;X6 & 0.7216 & 0.7084 & 0.5493 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X5;X7
 & 0.7563 & 0.7017 & 0.5394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
X6;X7
 & 0.8463 & 0.8217 & 0.6572 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=158733&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]X1;Y[/C][C]0.8909[/C][C]0.866[/C][C]0.7012[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X2[/C][C]0.7929[/C][C]0.7723[/C][C]0.5972[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X3[/C][C]0.6741[/C][C]0.6256[/C][C]0.467[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X4[/C][C]0.6955[/C][C]0.6545[/C][C]0.4909[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X5[/C][C]0.6927[/C][C]0.635[/C][C]0.4751[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X6[/C][C]0.6953[/C][C]0.6682[/C][C]0.5012[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X1;X7
[/C][C]0.7648[/C][C]0.71[/C][C]0.5342[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X2[/C][C]0.7874[/C][C]0.7725[/C][C]0.5934[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X3[/C][C]0.6764[/C][C]0.589[/C][C]0.4361[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X4[/C][C]0.7399[/C][C]0.7096[/C][C]0.5348[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X5[/C][C]0.6896[/C][C]0.6264[/C][C]0.4727[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X6[/C][C]0.7424[/C][C]0.7146[/C][C]0.5424[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Y;X7
[/C][C]0.8607[/C][C]0.8242[/C][C]0.6583[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X3[/C][C]0.6724[/C][C]0.595[/C][C]0.4443[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X4[/C][C]0.7273[/C][C]0.6865[/C][C]0.5216[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X5[/C][C]0.6583[/C][C]0.6328[/C][C]0.4752[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X6[/C][C]0.7665[/C][C]0.7594[/C][C]0.5817[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X2;X7
[/C][C]0.7622[/C][C]0.7582[/C][C]0.5821[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X4[/C][C]0.8832[/C][C]0.8357[/C][C]0.6849[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X5[/C][C]0.6166[/C][C]0.5727[/C][C]0.4279[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X6[/C][C]0.6867[/C][C]0.6613[/C][C]0.5047[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X3;X7
[/C][C]0.6197[/C][C]0.559[/C][C]0.4177[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X4;X5[/C][C]0.6422[/C][C]0.6141[/C][C]0.4665[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X4;X6[/C][C]0.8041[/C][C]0.7689[/C][C]0.5903[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X4;X7
[/C][C]0.7113[/C][C]0.6775[/C][C]0.5063[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X5;X6[/C][C]0.7216[/C][C]0.7084[/C][C]0.5493[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X5;X7
[/C][C]0.7563[/C][C]0.7017[/C][C]0.5394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]X6;X7
[/C][C]0.8463[/C][C]0.8217[/C][C]0.6572[/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=158733&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=158733&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
pairPearson rSpearman rhoKendall tau
X1;Y0.89090.8660.7012
p-value(0)(0)(0)
X1;X20.79290.77230.5972
p-value(0)(0)(0)
X1;X30.67410.62560.467
p-value(0)(0)(0)
X1;X40.69550.65450.4909
p-value(0)(0)(0)
X1;X50.69270.6350.4751
p-value(0)(0)(0)
X1;X60.69530.66820.5012
p-value(0)(0)(0)
X1;X7 0.76480.710.5342
p-value(0)(0)(0)
Y;X20.78740.77250.5934
p-value(0)(0)(0)
Y;X30.67640.5890.4361
p-value(0)(0)(0)
Y;X40.73990.70960.5348
p-value(0)(0)(0)
Y;X50.68960.62640.4727
p-value(0)(0)(0)
Y;X60.74240.71460.5424
p-value(0)(0)(0)
Y;X7 0.86070.82420.6583
p-value(0)(0)(0)
X2;X30.67240.5950.4443
p-value(0)(0)(0)
X2;X40.72730.68650.5216
p-value(0)(0)(0)
X2;X50.65830.63280.4752
p-value(0)(0)(0)
X2;X60.76650.75940.5817
p-value(0)(0)(0)
X2;X7 0.76220.75820.5821
p-value(0)(0)(0)
X3;X40.88320.83570.6849
p-value(0)(0)(0)
X3;X50.61660.57270.4279
p-value(0)(0)(0)
X3;X60.68670.66130.5047
p-value(0)(0)(0)
X3;X7 0.61970.5590.4177
p-value(0)(0)(0)
X4;X50.64220.61410.4665
p-value(0)(0)(0)
X4;X60.80410.76890.5903
p-value(0)(0)(0)
X4;X7 0.71130.67750.5063
p-value(0)(0)(0)
X5;X60.72160.70840.5493
p-value(0)(0)(0)
X5;X7 0.75630.70170.5394
p-value(0)(0)(0)
X6;X7 0.84630.82170.6572
p-value(0)(0)(0)



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')