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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 22 Dec 2011 11:47:42 -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/22/t1324575334xgkktbgonywzqle.htm/, Retrieved Fri, 03 May 2024 06:12:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159766, Retrieved Fri, 03 May 2024 06:12:02 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2011-12-22 16:47:42] [694c30abd2a3b2ee5cb46fc74cb5bfb9] [Current]
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Dataseries X:
1845	162687	95	595	115	0	48	21	82	73	20465	6200	23975	39	37
1797	201906	63	545	76	1	58	20	80	56	33629	10265	85634	46	43
192	7215	18	72	1	0	0	0	0	0	1423	603	1929	0	0
2444	146367	97	679	155	0	67	27	84	63	25629	8874	36294	54	54
3567	257045	139	1201	125	0	83	31	124	116	54002	20323	72255	93	86
6953	528532	268	1975	278	1	137	36	140	138	151036	26258	189748	198	181
1873	191582	60	602	93	1	65	26	100	76	33287	10165	61834	42	42
1740	195674	60	496	59	0	86	30	115	107	31172	8247	68167	59	59
2079	177020	45	670	87	0	62	30	109	50	28113	8683	38462	49	46
3120	330255	100	1047	130	1	72	27	108	81	57803	16957	101219	83	77
1946	121844	75	634	158	2	50	24	63	58	49830	8058	43270	49	49
2370	203938	72	743	120	0	88	30	118	91	52143	20488	76183	83	79
1962	116737	108	692	87	0	62	22	71	41	21055	7945	31476	39	37
3198	220751	120	1086	264	4	79	28	112	100	47007	13448	62157	93	92
1496	173259	65	420	51	4	56	18	63	61	28735	5389	46261	31	31
1574	156326	89	474	85	3	54	22	86	74	59147	6185	50063	29	28
1808	145178	59	442	100	0	81	37	148	147	78950	24369	64483	104	103
1309	89171	61	373	72	5	13	15	54	45	13497	70	2341	2	2
2820	172624	88	899	147	0	74	34	134	110	46154	17327	48149	46	48
799	43391	28	253	49	0	18	18	57	41	53249	3878	12743	27	25
1162	87927	62	399	40	0	31	15	59	37	10726	3149	18743	16	16
2818	241285	103	850	99	0	99	30	113	84	83700	20517	97057	108	106
1780	200429	75	648	127	1	38	25	96	67	40400	2570	17675	36	35
2316	146946	57	717	164	1	59	34	96	69	33797	5162	33106	33	33
1994	159763	89	619	41	1	54	21	78	58	36205	5299	53311	46	45
1806	207078	34	657	160	0	63	21	80	60	30165	7233	42754	65	64
2153	212394	167	691	92	0	66	25	93	88	58534	15657	59056	80	73
1458	201536	96	366	59	0	90	31	109	75	44663	15329	101621	81	78
3000	394662	121	994	89	0	72	31	115	98	92556	14881	118120	69	63
2236	217892	46	929	90	0	61	20	79	67	40078	16318	79572	69	69
1685	182286	45	490	76	0	61	28	103	84	34711	9556	42744	37	36
1667	188748	48	574	116	2	63	22	71	62	31076	10462	65931	45	41
2257	137978	107	738	92	4	53	17	66	35	74608	7192	38575	62	59
3402	259627	132	1039	361	0	120	25	100	74	58092	4362	28795	33	33
2571	236489	55	844	85	1	73	25	100	93	42009	14349	94440	77	76
1	0	1	0	0	0	0	0	0	0	0	0	0	0	0
2143	230761	65	1000	63	0	54	31	121	87	36022	10881	38229	34	27
1878	132807	54	629	138	3	54	14	51	39	23333	8022	31972	44	44
2224	161703	52	547	270	9	46	35	119	101	53349	13073	40071	43	43
2186	253254	68	811	64	0	83	34	136	135	92596	26641	132480	117	104
2533	269329	72	837	96	2	106	22	84	76	49598	14426	62797	125	120
1823	161273	61	682	62	0	44	34	136	118	44093	15604	40429	49	44
1095	107181	33	400	35	2	27	23	84	76	84205	9184	45545	76	71
2303	213097	81	831	66	1	73	24	92	65	63369	5989	57568	81	78
1365	139667	51	419	56	2	71	26	103	97	60132	11270	39019	111	106
1245	171101	99	334	41	2	44	23	85	70	37403	13958	53866	61	61
756	81407	33	216	49	1	23	35	106	63	24460	7162	38345	56	53
2419	247596	106	786	121	0	78	24	96	96	46456	13275	50210	54	51
2327	239807	90	752	113	1	60	31	124	112	66616	21224	80947	47	46
2787	172743	60	964	190	8	73	30	106	82	41554	10615	43461	55	55
658	48188	28	205	37	0	12	22	82	39	22346	2102	14812	14	14
2013	169355	71	506	52	0	104	23	87	69	30874	12396	37819	44	44
2616	325322	77	830	89	0	86	27	97	93	68701	18717	102738	115	113
2072	241518	80	694	73	0	57	30	107	76	35728	9724	54509	57	55
1912	195583	60	691	49	1	67	33	126	117	29010	9863	62956	48	46
1775	159913	57	547	77	8	44	12	43	31	23110	8374	55411	40	39
1943	223936	71	547	58	0	53	26	96	65	38844	8030	50611	51	51
1047	101694	26	329	75	1	26	26	100	78	27084	7509	26692	32	31
1190	157258	68	427	32	0	67	23	91	87	35139	14146	60056	36	36
2932	211586	101	993	59	10	36	38	136	85	57476	7768	25155	47	47
1868	181076	66	564	71	6	56	32	128	119	33277	13823	42840	51	53
2255	150518	84	836	91	0	52	21	83	65	31141	7230	39358	37	38
1392	141491	64	376	87	11	54	22	74	60	61281	10170	47241	52	52
1355	130108	40	471	48	3	61	26	96	67	25820	7573	49611	42	37
1321	166351	38	431	63	0	27	28	102	94	23284	5753	41833	11	11
1526	124197	43	483	41	0	58	33	122	100	35378	9791	48930	47	45
2335	195043	71	504	86	8	76	36	144	135	74990	19365	110600	59	59
2898	138708	66	887	152	2	93	25	90	71	29653	9422	52235	82	82
1118	116552	40	271	49	0	59	25	97	78	64622	12310	53986	49	49
340	31970	15	101	40	0	5	21	78	42	4157	1283	4105	6	6
2977	258158	115	1097	135	3	57	19	72	42	29245	6372	59331	83	81
1452	151194	79	470	83	1	42	12	45	8	50008	5413	47796	56	56
1550	135926	68	528	62	2	88	30	120	86	52338	10837	38302	114	105
1685	119629	73	475	91	1	53	21	59	41	13310	3394	14063	46	46
2728	171518	71	698	95	0	81	39	150	131	92901	12964	54414	46	46
1574	108949	45	425	82	2	35	32	117	91	10956	3495	9903	2	2
2413	183471	60	709	112	1	102	28	123	102	34241	11580	53987	51	51
2563	159966	98	824	70	0	71	29	114	91	75043	9970	88937	96	95
1080	93786	35	336	78	0	28	21	75	46	21152	4911	21928	20	18
1235	84971	72	395	105	0	34	31	114	60	42249	10138	29487	57	55
980	88882	76	234	49	0	54	26	94	69	42005	14697	35334	49	48
2246	304603	65	830	60	0	49	29	116	95	41152	8464	57596	51	48
1076	75101	30	334	49	1	30	23	86	17	14399	4204	29750	40	39
1638	145043	41	524	132	0	57	25	90	61	28263	10226	41029	40	40
1208	95827	48	393	49	0	54	22	87	55	17215	3456	12416	36	36
1866	173924	59	574	71	0	38	26	99	55	48140	8895	51158	64	60
2727	241957	238	672	102	0	63	33	132	124	62897	22557	79935	117	114
1208	115367	115	284	74	0	58	24	96	73	22883	6900	26552	40	39
1427	118689	65	452	49	7	46	24	91	73	41622	8620	25807	46	45
1610	164078	54	653	74	0	46	21	77	67	40715	7820	50620	61	59
1865	158931	42	684	59	5	51	28	104	66	65897	12112	61467	59	59
2413	184139	83	706	91	1	87	28	100	77	76542	13178	65292	94	93
1238	152856	58	417	68	0	39	25	94	83	37477	7028	55516	36	35
1468	146159	61	551	81	0	28	15	60	55	53216	6616	42006	51	47
974	62535	43	394	33	0	26	13	46	27	40911	9570	26273	39	36
2319	245196	117	730	166	0	52	36	135	115	57021	14612	90248	62	59
1890	199841	71	571	97	0	96	27	99	85	73116	11219	61476	79	79
223	19349	12	67	15	0	13	1	2	0	3895	786	9604	14	14
2527	247280	109	877	105	3	43	24	96	83	46609	11252	45108	45	42
2105	164457	86	865	61	0	42	31	109	90	29351	9289	47232	43	41
778	72128	30	306	11	0	30	4	15	4	2325	593	3439	8	8
1194	104253	26	382	45	0	59	21	68	60	31747	6562	30553	41	41
1424	151090	57	435	89	0	73	27	102	74	32665	8208	24751	25	24
1386	147990	68	348	72	1	40	26	93	55	19249	7488	34458	22	22
839	87448	42	227	27	1	36	12	46	24	15292	4574	24649	18	18
596	27676	22	194	59	0	2	16	59	17	5842	522	2342	3	1
1684	170326	52	413	127	0	103	29	116	105	33994	12840	52739	54	53
1168	132148	38	273	48	1	30	26	29	20	13018	1350	6245	6	6
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
1106	95778	34	343	58	0	46	25	91	51	98177	10623	35381	50	49
1149	109001	68	376	57	0	25	21	76	76	37941	5322	19595	33	33
1485	158833	46	495	60	0	59	24	86	61	31032	7987	50848	54	50
1529	150013	66	448	77	1	60	21	84	70	32683	10566	39443	63	64
962	89887	63	313	71	0	36	21	65	38	34545	1900	27023	56	53
78	3616	5	14	5	0	0	0	0	0	0	0	0	0	0
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
1184	199005	45	410	70	0	45	23	84	81	27525	10698	61022	49	48
1672	160930	93	606	76	0	79	33	114	78	66856	14884	63528	90	90
2142	177948	102	593	124	2	30	32	132	76	28549	6852	34835	51	46
1016	136061	40	312	56	0	43	23	92	89	38610	6873	37172	29	29
778	43410	19	292	63	0	7	1	3	3	2781	4	13	1	1
1857	184277	75	547	92	1	80	29	109	87	41211	9188	62548	68	64
1084	109873	45	315	58	0	32	20	81	55	22698	5141	31334	29	29
2297	151030	59	660	64	8	84	33	121	73	41194	4260	20839	27	27
731	60493	40	174	29	3	3	12	48	32	32689	443	5084	4	4
285	19764	12	75	19	1	10	2	8	4	5752	2416	9927	10	10
1872	177559	56	572	64	3	47	21	80	70	26757	9831	53229	47	47
1181	140281	35	389	79	0	35	28	107	102	22527	5953	29877	44	44
1725	164249	54	562	104	0	54	35	140	109	44810	9435	37310	53	51
256	11796	9	79	22	0	1	2	8	1	0	0	0	0	0
98	10674	9	33	7	0	0	0	0	0	0	0	0	0	0
1435	151322	59	487	37	0	46	18	56	39	100674	7642	50067	40	38
41	6836	3	11	5	0	0	1	4	0	0	0	0	0	0
1931	174712	68	664	48	6	51	21	70	45	57786	6837	47708	57	57
42	5118	3	6	1	0	5	0	0	0	0	0	0	0	0
528	40248	16	183	34	1	8	4	14	7	5444	775	6012	6	6
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
1122	127628	51	342	53	0	38	29	104	86	28470	8191	27749	24	22
1305	88837	38	269	44	0	21	26	89	52	61849	1661	47555	34	34
81	7131	4	27	0	1	0	0	0	0	0	0	0	0	0
262	9056	15	99	18	0	0	4	12	1	2179	548	1336	10	10
1104	88589	29	306	52	1	18	19	60	49	8019	3080	11017	16	16
1290	144470	53	327	56	0	53	22	84	72	39644	13400	55184	93	93
1248	111408	20	459	50	1	17	22	88	56	23494	8181	43485	28	22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 7 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159766&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159766&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159766&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 time7 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Correlations for all pairs of data series (method=kendall)
123456789101112131415
110.7010.620.8420.5890.1830.5930.460.4720.4810.4610.4930.5240.5080.509
20.70110.5520.680.4860.0970.5550.4340.470.5280.4540.5440.640.5220.515
30.620.55210.5750.4710.1180.4760.3580.3720.3990.4560.430.4340.4670.467
40.8420.680.57510.5540.150.5390.4120.4310.4430.4360.4690.5070.4950.491
50.5890.4860.4710.55410.1340.4550.3760.3780.3860.3190.390.3560.3940.397
60.1830.0970.1180.150.13410.0590.0370.0270.0230.0850.0360.070.090.096
70.5930.5550.4760.5390.4550.05910.4390.4630.4970.4410.5740.5610.5550.566
80.460.4340.3580.4120.3760.0370.43910.8730.6880.4210.5060.4090.4010.396
90.4720.470.3720.4310.3780.0270.4630.87310.7530.4340.5330.4350.4160.411
100.4810.5280.3990.4430.3860.0230.4970.6880.75310.4590.590.4990.4380.436
110.4610.4540.4560.4360.3190.0850.4410.4210.4340.45910.5490.5390.5660.565
120.4930.5440.430.4690.390.0360.5740.5060.5330.590.54910.6570.6130.614
130.5240.640.4340.5070.3560.070.5610.4090.4350.4990.5390.65710.6350.63
140.5080.5220.4670.4950.3940.090.5550.4010.4160.4380.5660.6130.63510.969
150.5090.5150.4670.4910.3970.0960.5660.3960.4110.4360.5650.6140.630.9691

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \tabularnewline 1 & 1 & 0.701 & 0.62 & 0.842 & 0.589 & 0.183 & 0.593 & 0.46 & 0.472 & 0.481 & 0.461 & 0.493 & 0.524 & 0.508 & 0.509 \tabularnewline 2 & 0.701 & 1 & 0.552 & 0.68 & 0.486 & 0.097 & 0.555 & 0.434 & 0.47 & 0.528 & 0.454 & 0.544 & 0.64 & 0.522 & 0.515 \tabularnewline 3 & 0.62 & 0.552 & 1 & 0.575 & 0.471 & 0.118 & 0.476 & 0.358 & 0.372 & 0.399 & 0.456 & 0.43 & 0.434 & 0.467 & 0.467 \tabularnewline 4 & 0.842 & 0.68 & 0.575 & 1 & 0.554 & 0.15 & 0.539 & 0.412 & 0.431 & 0.443 & 0.436 & 0.469 & 0.507 & 0.495 & 0.491 \tabularnewline 5 & 0.589 & 0.486 & 0.471 & 0.554 & 1 & 0.134 & 0.455 & 0.376 & 0.378 & 0.386 & 0.319 & 0.39 & 0.356 & 0.394 & 0.397 \tabularnewline 6 & 0.183 & 0.097 & 0.118 & 0.15 & 0.134 & 1 & 0.059 & 0.037 & 0.027 & 0.023 & 0.085 & 0.036 & 0.07 & 0.09 & 0.096 \tabularnewline 7 & 0.593 & 0.555 & 0.476 & 0.539 & 0.455 & 0.059 & 1 & 0.439 & 0.463 & 0.497 & 0.441 & 0.574 & 0.561 & 0.555 & 0.566 \tabularnewline 8 & 0.46 & 0.434 & 0.358 & 0.412 & 0.376 & 0.037 & 0.439 & 1 & 0.873 & 0.688 & 0.421 & 0.506 & 0.409 & 0.401 & 0.396 \tabularnewline 9 & 0.472 & 0.47 & 0.372 & 0.431 & 0.378 & 0.027 & 0.463 & 0.873 & 1 & 0.753 & 0.434 & 0.533 & 0.435 & 0.416 & 0.411 \tabularnewline 10 & 0.481 & 0.528 & 0.399 & 0.443 & 0.386 & 0.023 & 0.497 & 0.688 & 0.753 & 1 & 0.459 & 0.59 & 0.499 & 0.438 & 0.436 \tabularnewline 11 & 0.461 & 0.454 & 0.456 & 0.436 & 0.319 & 0.085 & 0.441 & 0.421 & 0.434 & 0.459 & 1 & 0.549 & 0.539 & 0.566 & 0.565 \tabularnewline 12 & 0.493 & 0.544 & 0.43 & 0.469 & 0.39 & 0.036 & 0.574 & 0.506 & 0.533 & 0.59 & 0.549 & 1 & 0.657 & 0.613 & 0.614 \tabularnewline 13 & 0.524 & 0.64 & 0.434 & 0.507 & 0.356 & 0.07 & 0.561 & 0.409 & 0.435 & 0.499 & 0.539 & 0.657 & 1 & 0.635 & 0.63 \tabularnewline 14 & 0.508 & 0.522 & 0.467 & 0.495 & 0.394 & 0.09 & 0.555 & 0.401 & 0.416 & 0.438 & 0.566 & 0.613 & 0.635 & 1 & 0.969 \tabularnewline 15 & 0.509 & 0.515 & 0.467 & 0.491 & 0.397 & 0.096 & 0.566 & 0.396 & 0.411 & 0.436 & 0.565 & 0.614 & 0.63 & 0.969 & 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=159766&T=1

[TABLE]
[ROW]
Correlations for all pairs of data series (method=kendall)[/C][/ROW] [ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][/ROW] [ROW][C]1[/C][C]1[/C][C]0.701[/C][C]0.62[/C][C]0.842[/C][C]0.589[/C][C]0.183[/C][C]0.593[/C][C]0.46[/C][C]0.472[/C][C]0.481[/C][C]0.461[/C][C]0.493[/C][C]0.524[/C][C]0.508[/C][C]0.509[/C][/ROW] [ROW][C]2[/C][C]0.701[/C][C]1[/C][C]0.552[/C][C]0.68[/C][C]0.486[/C][C]0.097[/C][C]0.555[/C][C]0.434[/C][C]0.47[/C][C]0.528[/C][C]0.454[/C][C]0.544[/C][C]0.64[/C][C]0.522[/C][C]0.515[/C][/ROW] [ROW][C]3[/C][C]0.62[/C][C]0.552[/C][C]1[/C][C]0.575[/C][C]0.471[/C][C]0.118[/C][C]0.476[/C][C]0.358[/C][C]0.372[/C][C]0.399[/C][C]0.456[/C][C]0.43[/C][C]0.434[/C][C]0.467[/C][C]0.467[/C][/ROW] [ROW][C]4[/C][C]0.842[/C][C]0.68[/C][C]0.575[/C][C]1[/C][C]0.554[/C][C]0.15[/C][C]0.539[/C][C]0.412[/C][C]0.431[/C][C]0.443[/C][C]0.436[/C][C]0.469[/C][C]0.507[/C][C]0.495[/C][C]0.491[/C][/ROW] [ROW][C]5[/C][C]0.589[/C][C]0.486[/C][C]0.471[/C][C]0.554[/C][C]1[/C][C]0.134[/C][C]0.455[/C][C]0.376[/C][C]0.378[/C][C]0.386[/C][C]0.319[/C][C]0.39[/C][C]0.356[/C][C]0.394[/C][C]0.397[/C][/ROW] [ROW][C]6[/C][C]0.183[/C][C]0.097[/C][C]0.118[/C][C]0.15[/C][C]0.134[/C][C]1[/C][C]0.059[/C][C]0.037[/C][C]0.027[/C][C]0.023[/C][C]0.085[/C][C]0.036[/C][C]0.07[/C][C]0.09[/C][C]0.096[/C][/ROW] [ROW][C]7[/C][C]0.593[/C][C]0.555[/C][C]0.476[/C][C]0.539[/C][C]0.455[/C][C]0.059[/C][C]1[/C][C]0.439[/C][C]0.463[/C][C]0.497[/C][C]0.441[/C][C]0.574[/C][C]0.561[/C][C]0.555[/C][C]0.566[/C][/ROW] [ROW][C]8[/C][C]0.46[/C][C]0.434[/C][C]0.358[/C][C]0.412[/C][C]0.376[/C][C]0.037[/C][C]0.439[/C][C]1[/C][C]0.873[/C][C]0.688[/C][C]0.421[/C][C]0.506[/C][C]0.409[/C][C]0.401[/C][C]0.396[/C][/ROW] [ROW][C]9[/C][C]0.472[/C][C]0.47[/C][C]0.372[/C][C]0.431[/C][C]0.378[/C][C]0.027[/C][C]0.463[/C][C]0.873[/C][C]1[/C][C]0.753[/C][C]0.434[/C][C]0.533[/C][C]0.435[/C][C]0.416[/C][C]0.411[/C][/ROW] [ROW][C]10[/C][C]0.481[/C][C]0.528[/C][C]0.399[/C][C]0.443[/C][C]0.386[/C][C]0.023[/C][C]0.497[/C][C]0.688[/C][C]0.753[/C][C]1[/C][C]0.459[/C][C]0.59[/C][C]0.499[/C][C]0.438[/C][C]0.436[/C][/ROW] [ROW][C]11[/C][C]0.461[/C][C]0.454[/C][C]0.456[/C][C]0.436[/C][C]0.319[/C][C]0.085[/C][C]0.441[/C][C]0.421[/C][C]0.434[/C][C]0.459[/C][C]1[/C][C]0.549[/C][C]0.539[/C][C]0.566[/C][C]0.565[/C][/ROW] [ROW][C]12[/C][C]0.493[/C][C]0.544[/C][C]0.43[/C][C]0.469[/C][C]0.39[/C][C]0.036[/C][C]0.574[/C][C]0.506[/C][C]0.533[/C][C]0.59[/C][C]0.549[/C][C]1[/C][C]0.657[/C][C]0.613[/C][C]0.614[/C][/ROW] [ROW][C]13[/C][C]0.524[/C][C]0.64[/C][C]0.434[/C][C]0.507[/C][C]0.356[/C][C]0.07[/C][C]0.561[/C][C]0.409[/C][C]0.435[/C][C]0.499[/C][C]0.539[/C][C]0.657[/C][C]1[/C][C]0.635[/C][C]0.63[/C][/ROW] [ROW][C]14[/C][C]0.508[/C][C]0.522[/C][C]0.467[/C][C]0.495[/C][C]0.394[/C][C]0.09[/C][C]0.555[/C][C]0.401[/C][C]0.416[/C][C]0.438[/C][C]0.566[/C][C]0.613[/C][C]0.635[/C][C]1[/C][C]0.969[/C][/ROW] [ROW][C]15[/C][C]0.509[/C][C]0.515[/C][C]0.467[/C][C]0.491[/C][C]0.397[/C][C]0.096[/C][C]0.566[/C][C]0.396[/C][C]0.411[/C][C]0.436[/C][C]0.565[/C][C]0.614[/C][C]0.63[/C][C]0.969[/C][C]1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=159766&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159766&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)
123456789101112131415
110.7010.620.8420.5890.1830.5930.460.4720.4810.4610.4930.5240.5080.509
20.70110.5520.680.4860.0970.5550.4340.470.5280.4540.5440.640.5220.515
30.620.55210.5750.4710.1180.4760.3580.3720.3990.4560.430.4340.4670.467
40.8420.680.57510.5540.150.5390.4120.4310.4430.4360.4690.5070.4950.491
50.5890.4860.4710.55410.1340.4550.3760.3780.3860.3190.390.3560.3940.397
60.1830.0970.1180.150.13410.0590.0370.0270.0230.0850.0360.070.090.096
70.5930.5550.4760.5390.4550.05910.4390.4630.4970.4410.5740.5610.5550.566
80.460.4340.3580.4120.3760.0370.43910.8730.6880.4210.5060.4090.4010.396
90.4720.470.3720.4310.3780.0270.4630.87310.7530.4340.5330.4350.4160.411
100.4810.5280.3990.4430.3860.0230.4970.6880.75310.4590.590.4990.4380.436
110.4610.4540.4560.4360.3190.0850.4410.4210.4340.45910.5490.5390.5660.565
120.4930.5440.430.4690.390.0360.5740.5060.5330.590.54910.6570.6130.614
130.5240.640.4340.5070.3560.070.5610.4090.4350.4990.5390.65710.6350.63
140.5080.5220.4670.4950.3940.090.5550.4010.4160.4380.5660.6130.63510.969
150.5090.5150.4670.4910.3970.0960.5660.3960.4110.4360.5650.6140.630.9691







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
1;20.89310.85940.7012
p-value(0)(0)(0)
1;30.81920.78280.6197
p-value(0)(0)(0)
1;40.96630.96120.8419
p-value(0)(0)(0)
1;50.75050.77120.5892
p-value(0)(0)(0)
1;60.2030.23980.1827
p-value(0.0147)(0.0038)(0.0041)
1;70.79410.7690.5933
p-value(0)(0)(0)
1;80.67440.61720.4596
p-value(0)(0)(0)
1;90.68860.64210.4719
p-value(0)(0)(0)
1;100.68770.64430.4807
p-value(0)(0)(0)
1;110.68550.61960.4612
p-value(0)(0)(0)
1;120.69160.66370.4933
p-value(0)(0)(0)
1;130.75810.70150.5243
p-value(0)(0)(0)
1;140.74240.67620.5078
p-value(0)(0)(0)
1;150.73890.67790.5091
p-value(0)(0)(0)
2;30.76130.71760.5523
p-value(0)(0)(0)
2;40.88320.84830.6797
p-value(0)(0)(0)
2;50.60720.65470.4859
p-value(0)(0)(0)
2;60.10020.12710.0968
p-value(0.232)(0.1288)(0.1286)
2;70.77390.7320.555
p-value(0)(0)(0)
2;80.67340.5850.4343
p-value(0)(0)(0)
2;90.69610.64160.4698
p-value(0)(0)(0)
2;100.72650.69910.5277
p-value(0)(0)(0)
2;110.67850.6080.4544
p-value(0)(0)(0)
2;120.73710.71260.5444
p-value(0)(0)(0)
2;130.84810.80960.6396
p-value(0)(0)(0)
2;140.74620.68740.5215
p-value(0)(0)(0)
2;150.73830.67970.5151
p-value(0)(0)(0)
3;40.76120.73850.5747
p-value(0)(0)(0)
3;50.59710.63310.4714
p-value(0)(0)(0)
3;60.08570.15460.1179
p-value(0.3073)(0.0644)(0.0654)
3;70.64210.63710.4762
p-value(0)(0)(0)
3;80.5490.48490.3583
p-value(0)(0)(0)
3;90.56860.51180.3724
p-value(0)(0)(0)
3;100.58090.53660.3995
p-value(0)(0)(0)
3;110.61640.60110.4563
p-value(0)(0)(0)
3;120.6280.58230.4301
p-value(0)(0)(0)
3;130.64940.58840.434
p-value(0)(0)(0)
3;140.68780.63070.4668
p-value(0)(0)(0)
3;150.68170.63180.4673
p-value(0)(0)(0)
4;50.70350.73290.554
p-value(0)(0)(0)
4;60.16870.19730.1497
p-value(0.0432)(0.0178)(0.0188)
4;70.73810.71010.5388
p-value(0)(0)(0)
4;80.62690.55820.4116
p-value(0)(0)(0)
4;90.64720.59420.431
p-value(0)(0)(0)
4;100.64050.60530.4426
p-value(0)(0)(0)
4;110.63740.59630.4364
p-value(0)(0)(0)
4;120.65240.6340.4695
p-value(0)(0)(0)
4;130.72170.67960.5075
p-value(0)(0)(0)
4;140.71060.65760.4952
p-value(0)(0)(0)
4;150.70320.65140.4913
p-value(0)(0)(0)
5;60.18970.17220.1337
p-value(0.0228)(0.039)(0.0367)
5;70.60770.62040.4547
p-value(0)(0)(0)
5;80.51080.50860.376
p-value(0)(0)(0)
5;90.50370.51560.3775
p-value(0)(0)(0)
5;100.49620.52820.3865
p-value(0)(0)(0)
5;110.42970.45040.3186
p-value(0)(0)(0)
5;120.44090.53750.39
p-value(0)(0)(0)
5;130.43450.50130.3558
p-value(0)(0)(0)
5;140.46970.54650.394
p-value(0)(0)(0)
5;150.47420.55150.3969
p-value(0)(0)(0)
6;70.07390.07710.0594
p-value(0.3786)(0.3584)(0.3543)
6;80.1480.04970.0366
p-value(0.0767)(0.5541)(0.573)
6;90.12550.03390.0268
p-value(0.134)(0.6865)(0.6764)
6;100.09850.0270.0234
p-value(0.2402)(0.7477)(0.7151)
6;110.13640.1110.0855
p-value(0.1032)(0.1854)(0.1804)
6;120.04990.04240.0359
p-value(0.5528)(0.6139)(0.5734)
6;130.0390.09670.0704
p-value(0.6425)(0.249)(0.2702)
6;140.04620.12190.0899
p-value(0.5824)(0.1454)(0.1615)
6;150.05830.13020.0965
p-value(0.4873)(0.1198)(0.1329)
7;80.67590.59380.4394
p-value(0)(0)(0)
7;90.69680.62980.463
p-value(0)(0)(0)
7;100.71620.66840.4969
p-value(0)(0)(0)
7;110.63980.60090.4408
p-value(0)(0)(0)
7;120.74090.7490.5736
p-value(0)(0)(0)
7;130.73180.73510.561
p-value(0)(0)(0)
7;140.76620.71970.5553
p-value(0)(0)(0)
7;150.77420.730.5659
p-value(0)(0)(0)
8;90.97090.96050.8735
p-value(0)(0)(0)
8;100.88690.83980.688
p-value(0)(0)(0)
8;110.61380.5610.4205
p-value(0)(0)(0)
8;120.68690.66740.506
p-value(0)(0)(0)
8;130.60930.54830.4088
p-value(0)(0)(0)
8;140.59390.54250.4009
p-value(0)(0)(0)
8;150.59610.53820.3963
p-value(0)(0)(0)
9;100.92930.89910.7525
p-value(0)(0)(0)
9;110.62660.58460.4336
p-value(0)(0)(0)
9;120.73270.70890.5325
p-value(0)(0)(0)
9;130.64330.58940.4348
p-value(0)(0)(0)
9;140.62140.56980.4158
p-value(0)(0)(0)
9;150.62220.56350.4105
p-value(0)(0)(0)
10;110.63990.60640.4592
p-value(0)(0)(0)
10;120.8020.76920.5899
p-value(0)(0)(0)
10;130.69940.66850.4988
p-value(0)(0)(0)
10;140.6480.59010.4375
p-value(0)(0)(0)
10;150.64920.59080.4363
p-value(0)(0)(0)
11;120.72160.70840.5493
p-value(0)(0)(0)
11;130.75630.70170.5394
p-value(0)(0)(0)
11;140.75830.73790.5655
p-value(0)(0)(0)
11;150.75370.73780.5653
p-value(0)(0)(0)
12;130.84630.82170.6572
p-value(0)(0)(0)
12;140.8060.78280.613
p-value(0)(0)(0)
12;150.80440.78330.614
p-value(0)(0)(0)
13;140.81950.80470.6352
p-value(0)(0)(0)
13;150.81220.79990.6297
p-value(0)(0)(0)
14;150.99770.99670.9693
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
1;2 & 0.8931 & 0.8594 & 0.7012 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;3 & 0.8192 & 0.7828 & 0.6197 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;4 & 0.9663 & 0.9612 & 0.8419 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;5 & 0.7505 & 0.7712 & 0.5892 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;6 & 0.203 & 0.2398 & 0.1827 \tabularnewline
p-value & (0.0147) & (0.0038) & (0.0041) \tabularnewline
1;7 & 0.7941 & 0.769 & 0.5933 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;8 & 0.6744 & 0.6172 & 0.4596 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;9 & 0.6886 & 0.6421 & 0.4719 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;10 & 0.6877 & 0.6443 & 0.4807 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;11 & 0.6855 & 0.6196 & 0.4612 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;12 & 0.6916 & 0.6637 & 0.4933 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;13 & 0.7581 & 0.7015 & 0.5243 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;14 & 0.7424 & 0.6762 & 0.5078 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;15 & 0.7389 & 0.6779 & 0.5091 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;3 & 0.7613 & 0.7176 & 0.5523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;4 & 0.8832 & 0.8483 & 0.6797 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;5 & 0.6072 & 0.6547 & 0.4859 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;6 & 0.1002 & 0.1271 & 0.0968 \tabularnewline
p-value & (0.232) & (0.1288) & (0.1286) \tabularnewline
2;7 & 0.7739 & 0.732 & 0.555 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;8 & 0.6734 & 0.585 & 0.4343 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;9 & 0.6961 & 0.6416 & 0.4698 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;10 & 0.7265 & 0.6991 & 0.5277 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;11 & 0.6785 & 0.608 & 0.4544 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;12 & 0.7371 & 0.7126 & 0.5444 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;13 & 0.8481 & 0.8096 & 0.6396 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;14 & 0.7462 & 0.6874 & 0.5215 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;15 & 0.7383 & 0.6797 & 0.5151 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;4 & 0.7612 & 0.7385 & 0.5747 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;5 & 0.5971 & 0.6331 & 0.4714 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;6 & 0.0857 & 0.1546 & 0.1179 \tabularnewline
p-value & (0.3073) & (0.0644) & (0.0654) \tabularnewline
3;7 & 0.6421 & 0.6371 & 0.4762 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;8 & 0.549 & 0.4849 & 0.3583 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;9 & 0.5686 & 0.5118 & 0.3724 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;10 & 0.5809 & 0.5366 & 0.3995 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;11 & 0.6164 & 0.6011 & 0.4563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;12 & 0.628 & 0.5823 & 0.4301 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;13 & 0.6494 & 0.5884 & 0.434 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;14 & 0.6878 & 0.6307 & 0.4668 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;15 & 0.6817 & 0.6318 & 0.4673 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;5 & 0.7035 & 0.7329 & 0.554 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;6 & 0.1687 & 0.1973 & 0.1497 \tabularnewline
p-value & (0.0432) & (0.0178) & (0.0188) \tabularnewline
4;7 & 0.7381 & 0.7101 & 0.5388 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;8 & 0.6269 & 0.5582 & 0.4116 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;9 & 0.6472 & 0.5942 & 0.431 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;10 & 0.6405 & 0.6053 & 0.4426 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;11 & 0.6374 & 0.5963 & 0.4364 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;12 & 0.6524 & 0.634 & 0.4695 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;13 & 0.7217 & 0.6796 & 0.5075 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;14 & 0.7106 & 0.6576 & 0.4952 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;15 & 0.7032 & 0.6514 & 0.4913 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;6 & 0.1897 & 0.1722 & 0.1337 \tabularnewline
p-value & (0.0228) & (0.039) & (0.0367) \tabularnewline
5;7 & 0.6077 & 0.6204 & 0.4547 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;8 & 0.5108 & 0.5086 & 0.376 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;9 & 0.5037 & 0.5156 & 0.3775 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;10 & 0.4962 & 0.5282 & 0.3865 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;11 & 0.4297 & 0.4504 & 0.3186 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;12 & 0.4409 & 0.5375 & 0.39 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;13 & 0.4345 & 0.5013 & 0.3558 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;14 & 0.4697 & 0.5465 & 0.394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;15 & 0.4742 & 0.5515 & 0.3969 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
6;7 & 0.0739 & 0.0771 & 0.0594 \tabularnewline
p-value & (0.3786) & (0.3584) & (0.3543) \tabularnewline
6;8 & 0.148 & 0.0497 & 0.0366 \tabularnewline
p-value & (0.0767) & (0.5541) & (0.573) \tabularnewline
6;9 & 0.1255 & 0.0339 & 0.0268 \tabularnewline
p-value & (0.134) & (0.6865) & (0.6764) \tabularnewline
6;10 & 0.0985 & 0.027 & 0.0234 \tabularnewline
p-value & (0.2402) & (0.7477) & (0.7151) \tabularnewline
6;11 & 0.1364 & 0.111 & 0.0855 \tabularnewline
p-value & (0.1032) & (0.1854) & (0.1804) \tabularnewline
6;12 & 0.0499 & 0.0424 & 0.0359 \tabularnewline
p-value & (0.5528) & (0.6139) & (0.5734) \tabularnewline
6;13 & 0.039 & 0.0967 & 0.0704 \tabularnewline
p-value & (0.6425) & (0.249) & (0.2702) \tabularnewline
6;14 & 0.0462 & 0.1219 & 0.0899 \tabularnewline
p-value & (0.5824) & (0.1454) & (0.1615) \tabularnewline
6;15 & 0.0583 & 0.1302 & 0.0965 \tabularnewline
p-value & (0.4873) & (0.1198) & (0.1329) \tabularnewline
7;8 & 0.6759 & 0.5938 & 0.4394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;9 & 0.6968 & 0.6298 & 0.463 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;10 & 0.7162 & 0.6684 & 0.4969 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;11 & 0.6398 & 0.6009 & 0.4408 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;12 & 0.7409 & 0.749 & 0.5736 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;13 & 0.7318 & 0.7351 & 0.561 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;14 & 0.7662 & 0.7197 & 0.5553 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;15 & 0.7742 & 0.73 & 0.5659 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;9 & 0.9709 & 0.9605 & 0.8735 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;10 & 0.8869 & 0.8398 & 0.688 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;11 & 0.6138 & 0.561 & 0.4205 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;12 & 0.6869 & 0.6674 & 0.506 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;13 & 0.6093 & 0.5483 & 0.4088 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;14 & 0.5939 & 0.5425 & 0.4009 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;15 & 0.5961 & 0.5382 & 0.3963 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;10 & 0.9293 & 0.8991 & 0.7525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;11 & 0.6266 & 0.5846 & 0.4336 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;12 & 0.7327 & 0.7089 & 0.5325 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;13 & 0.6433 & 0.5894 & 0.4348 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;14 & 0.6214 & 0.5698 & 0.4158 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;15 & 0.6222 & 0.5635 & 0.4105 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;11 & 0.6399 & 0.6064 & 0.4592 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;12 & 0.802 & 0.7692 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;13 & 0.6994 & 0.6685 & 0.4988 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;14 & 0.648 & 0.5901 & 0.4375 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;15 & 0.6492 & 0.5908 & 0.4363 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;12 & 0.7216 & 0.7084 & 0.5493 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;13 & 0.7563 & 0.7017 & 0.5394 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;14 & 0.7583 & 0.7379 & 0.5655 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;15 & 0.7537 & 0.7378 & 0.5653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;13 & 0.8463 & 0.8217 & 0.6572 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;14 & 0.806 & 0.7828 & 0.613 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;15 & 0.8044 & 0.7833 & 0.614 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
13;14 & 0.8195 & 0.8047 & 0.6352 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
13;15 & 0.8122 & 0.7999 & 0.6297 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
14;15 & 0.9977 & 0.9967 & 0.9693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159766&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]1;2[/C][C]0.8931[/C][C]0.8594[/C][C]0.7012[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;3[/C][C]0.8192[/C][C]0.7828[/C][C]0.6197[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;4[/C][C]0.9663[/C][C]0.9612[/C][C]0.8419[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;5[/C][C]0.7505[/C][C]0.7712[/C][C]0.5892[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;6[/C][C]0.203[/C][C]0.2398[/C][C]0.1827[/C][/ROW]
[ROW][C]p-value[/C][C](0.0147)[/C][C](0.0038)[/C][C](0.0041)[/C][/ROW]
[ROW][C]1;7[/C][C]0.7941[/C][C]0.769[/C][C]0.5933[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;8[/C][C]0.6744[/C][C]0.6172[/C][C]0.4596[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;9[/C][C]0.6886[/C][C]0.6421[/C][C]0.4719[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;10[/C][C]0.6877[/C][C]0.6443[/C][C]0.4807[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;11[/C][C]0.6855[/C][C]0.6196[/C][C]0.4612[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;12[/C][C]0.6916[/C][C]0.6637[/C][C]0.4933[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;13[/C][C]0.7581[/C][C]0.7015[/C][C]0.5243[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;14[/C][C]0.7424[/C][C]0.6762[/C][C]0.5078[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;15[/C][C]0.7389[/C][C]0.6779[/C][C]0.5091[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;3[/C][C]0.7613[/C][C]0.7176[/C][C]0.5523[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;4[/C][C]0.8832[/C][C]0.8483[/C][C]0.6797[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;5[/C][C]0.6072[/C][C]0.6547[/C][C]0.4859[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;6[/C][C]0.1002[/C][C]0.1271[/C][C]0.0968[/C][/ROW]
[ROW][C]p-value[/C][C](0.232)[/C][C](0.1288)[/C][C](0.1286)[/C][/ROW]
[ROW][C]2;7[/C][C]0.7739[/C][C]0.732[/C][C]0.555[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;8[/C][C]0.6734[/C][C]0.585[/C][C]0.4343[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;9[/C][C]0.6961[/C][C]0.6416[/C][C]0.4698[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;10[/C][C]0.7265[/C][C]0.6991[/C][C]0.5277[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;11[/C][C]0.6785[/C][C]0.608[/C][C]0.4544[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;12[/C][C]0.7371[/C][C]0.7126[/C][C]0.5444[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;13[/C][C]0.8481[/C][C]0.8096[/C][C]0.6396[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;14[/C][C]0.7462[/C][C]0.6874[/C][C]0.5215[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;15[/C][C]0.7383[/C][C]0.6797[/C][C]0.5151[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;4[/C][C]0.7612[/C][C]0.7385[/C][C]0.5747[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;5[/C][C]0.5971[/C][C]0.6331[/C][C]0.4714[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;6[/C][C]0.0857[/C][C]0.1546[/C][C]0.1179[/C][/ROW]
[ROW][C]p-value[/C][C](0.3073)[/C][C](0.0644)[/C][C](0.0654)[/C][/ROW]
[ROW][C]3;7[/C][C]0.6421[/C][C]0.6371[/C][C]0.4762[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;8[/C][C]0.549[/C][C]0.4849[/C][C]0.3583[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;9[/C][C]0.5686[/C][C]0.5118[/C][C]0.3724[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;10[/C][C]0.5809[/C][C]0.5366[/C][C]0.3995[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;11[/C][C]0.6164[/C][C]0.6011[/C][C]0.4563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;12[/C][C]0.628[/C][C]0.5823[/C][C]0.4301[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;13[/C][C]0.6494[/C][C]0.5884[/C][C]0.434[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;14[/C][C]0.6878[/C][C]0.6307[/C][C]0.4668[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;15[/C][C]0.6817[/C][C]0.6318[/C][C]0.4673[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;5[/C][C]0.7035[/C][C]0.7329[/C][C]0.554[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;6[/C][C]0.1687[/C][C]0.1973[/C][C]0.1497[/C][/ROW]
[ROW][C]p-value[/C][C](0.0432)[/C][C](0.0178)[/C][C](0.0188)[/C][/ROW]
[ROW][C]4;7[/C][C]0.7381[/C][C]0.7101[/C][C]0.5388[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;8[/C][C]0.6269[/C][C]0.5582[/C][C]0.4116[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;9[/C][C]0.6472[/C][C]0.5942[/C][C]0.431[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;10[/C][C]0.6405[/C][C]0.6053[/C][C]0.4426[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;11[/C][C]0.6374[/C][C]0.5963[/C][C]0.4364[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;12[/C][C]0.6524[/C][C]0.634[/C][C]0.4695[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;13[/C][C]0.7217[/C][C]0.6796[/C][C]0.5075[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;14[/C][C]0.7106[/C][C]0.6576[/C][C]0.4952[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;15[/C][C]0.7032[/C][C]0.6514[/C][C]0.4913[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;6[/C][C]0.1897[/C][C]0.1722[/C][C]0.1337[/C][/ROW]
[ROW][C]p-value[/C][C](0.0228)[/C][C](0.039)[/C][C](0.0367)[/C][/ROW]
[ROW][C]5;7[/C][C]0.6077[/C][C]0.6204[/C][C]0.4547[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;8[/C][C]0.5108[/C][C]0.5086[/C][C]0.376[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;9[/C][C]0.5037[/C][C]0.5156[/C][C]0.3775[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;10[/C][C]0.4962[/C][C]0.5282[/C][C]0.3865[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;11[/C][C]0.4297[/C][C]0.4504[/C][C]0.3186[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;12[/C][C]0.4409[/C][C]0.5375[/C][C]0.39[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;13[/C][C]0.4345[/C][C]0.5013[/C][C]0.3558[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;14[/C][C]0.4697[/C][C]0.5465[/C][C]0.394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;15[/C][C]0.4742[/C][C]0.5515[/C][C]0.3969[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]6;7[/C][C]0.0739[/C][C]0.0771[/C][C]0.0594[/C][/ROW]
[ROW][C]p-value[/C][C](0.3786)[/C][C](0.3584)[/C][C](0.3543)[/C][/ROW]
[ROW][C]6;8[/C][C]0.148[/C][C]0.0497[/C][C]0.0366[/C][/ROW]
[ROW][C]p-value[/C][C](0.0767)[/C][C](0.5541)[/C][C](0.573)[/C][/ROW]
[ROW][C]6;9[/C][C]0.1255[/C][C]0.0339[/C][C]0.0268[/C][/ROW]
[ROW][C]p-value[/C][C](0.134)[/C][C](0.6865)[/C][C](0.6764)[/C][/ROW]
[ROW][C]6;10[/C][C]0.0985[/C][C]0.027[/C][C]0.0234[/C][/ROW]
[ROW][C]p-value[/C][C](0.2402)[/C][C](0.7477)[/C][C](0.7151)[/C][/ROW]
[ROW][C]6;11[/C][C]0.1364[/C][C]0.111[/C][C]0.0855[/C][/ROW]
[ROW][C]p-value[/C][C](0.1032)[/C][C](0.1854)[/C][C](0.1804)[/C][/ROW]
[ROW][C]6;12[/C][C]0.0499[/C][C]0.0424[/C][C]0.0359[/C][/ROW]
[ROW][C]p-value[/C][C](0.5528)[/C][C](0.6139)[/C][C](0.5734)[/C][/ROW]
[ROW][C]6;13[/C][C]0.039[/C][C]0.0967[/C][C]0.0704[/C][/ROW]
[ROW][C]p-value[/C][C](0.6425)[/C][C](0.249)[/C][C](0.2702)[/C][/ROW]
[ROW][C]6;14[/C][C]0.0462[/C][C]0.1219[/C][C]0.0899[/C][/ROW]
[ROW][C]p-value[/C][C](0.5824)[/C][C](0.1454)[/C][C](0.1615)[/C][/ROW]
[ROW][C]6;15[/C][C]0.0583[/C][C]0.1302[/C][C]0.0965[/C][/ROW]
[ROW][C]p-value[/C][C](0.4873)[/C][C](0.1198)[/C][C](0.1329)[/C][/ROW]
[ROW][C]7;8[/C][C]0.6759[/C][C]0.5938[/C][C]0.4394[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;9[/C][C]0.6968[/C][C]0.6298[/C][C]0.463[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;10[/C][C]0.7162[/C][C]0.6684[/C][C]0.4969[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;11[/C][C]0.6398[/C][C]0.6009[/C][C]0.4408[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;12[/C][C]0.7409[/C][C]0.749[/C][C]0.5736[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;13[/C][C]0.7318[/C][C]0.7351[/C][C]0.561[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;14[/C][C]0.7662[/C][C]0.7197[/C][C]0.5553[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;15[/C][C]0.7742[/C][C]0.73[/C][C]0.5659[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;9[/C][C]0.9709[/C][C]0.9605[/C][C]0.8735[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;10[/C][C]0.8869[/C][C]0.8398[/C][C]0.688[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;11[/C][C]0.6138[/C][C]0.561[/C][C]0.4205[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;12[/C][C]0.6869[/C][C]0.6674[/C][C]0.506[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;13[/C][C]0.6093[/C][C]0.5483[/C][C]0.4088[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;14[/C][C]0.5939[/C][C]0.5425[/C][C]0.4009[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;15[/C][C]0.5961[/C][C]0.5382[/C][C]0.3963[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;10[/C][C]0.9293[/C][C]0.8991[/C][C]0.7525[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;11[/C][C]0.6266[/C][C]0.5846[/C][C]0.4336[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;12[/C][C]0.7327[/C][C]0.7089[/C][C]0.5325[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;13[/C][C]0.6433[/C][C]0.5894[/C][C]0.4348[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;14[/C][C]0.6214[/C][C]0.5698[/C][C]0.4158[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;15[/C][C]0.6222[/C][C]0.5635[/C][C]0.4105[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;11[/C][C]0.6399[/C][C]0.6064[/C][C]0.4592[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;12[/C][C]0.802[/C][C]0.7692[/C][C]0.5899[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;13[/C][C]0.6994[/C][C]0.6685[/C][C]0.4988[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;14[/C][C]0.648[/C][C]0.5901[/C][C]0.4375[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;15[/C][C]0.6492[/C][C]0.5908[/C][C]0.4363[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;12[/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]11;13[/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]11;14[/C][C]0.7583[/C][C]0.7379[/C][C]0.5655[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;15[/C][C]0.7537[/C][C]0.7378[/C][C]0.5653[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]12;13[/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]
[ROW][C]12;14[/C][C]0.806[/C][C]0.7828[/C][C]0.613[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]12;15[/C][C]0.8044[/C][C]0.7833[/C][C]0.614[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]13;14[/C][C]0.8195[/C][C]0.8047[/C][C]0.6352[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]13;15[/C][C]0.8122[/C][C]0.7999[/C][C]0.6297[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]14;15[/C][C]0.9977[/C][C]0.9967[/C][C]0.9693[/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=159766&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159766&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
1;20.89310.85940.7012
p-value(0)(0)(0)
1;30.81920.78280.6197
p-value(0)(0)(0)
1;40.96630.96120.8419
p-value(0)(0)(0)
1;50.75050.77120.5892
p-value(0)(0)(0)
1;60.2030.23980.1827
p-value(0.0147)(0.0038)(0.0041)
1;70.79410.7690.5933
p-value(0)(0)(0)
1;80.67440.61720.4596
p-value(0)(0)(0)
1;90.68860.64210.4719
p-value(0)(0)(0)
1;100.68770.64430.4807
p-value(0)(0)(0)
1;110.68550.61960.4612
p-value(0)(0)(0)
1;120.69160.66370.4933
p-value(0)(0)(0)
1;130.75810.70150.5243
p-value(0)(0)(0)
1;140.74240.67620.5078
p-value(0)(0)(0)
1;150.73890.67790.5091
p-value(0)(0)(0)
2;30.76130.71760.5523
p-value(0)(0)(0)
2;40.88320.84830.6797
p-value(0)(0)(0)
2;50.60720.65470.4859
p-value(0)(0)(0)
2;60.10020.12710.0968
p-value(0.232)(0.1288)(0.1286)
2;70.77390.7320.555
p-value(0)(0)(0)
2;80.67340.5850.4343
p-value(0)(0)(0)
2;90.69610.64160.4698
p-value(0)(0)(0)
2;100.72650.69910.5277
p-value(0)(0)(0)
2;110.67850.6080.4544
p-value(0)(0)(0)
2;120.73710.71260.5444
p-value(0)(0)(0)
2;130.84810.80960.6396
p-value(0)(0)(0)
2;140.74620.68740.5215
p-value(0)(0)(0)
2;150.73830.67970.5151
p-value(0)(0)(0)
3;40.76120.73850.5747
p-value(0)(0)(0)
3;50.59710.63310.4714
p-value(0)(0)(0)
3;60.08570.15460.1179
p-value(0.3073)(0.0644)(0.0654)
3;70.64210.63710.4762
p-value(0)(0)(0)
3;80.5490.48490.3583
p-value(0)(0)(0)
3;90.56860.51180.3724
p-value(0)(0)(0)
3;100.58090.53660.3995
p-value(0)(0)(0)
3;110.61640.60110.4563
p-value(0)(0)(0)
3;120.6280.58230.4301
p-value(0)(0)(0)
3;130.64940.58840.434
p-value(0)(0)(0)
3;140.68780.63070.4668
p-value(0)(0)(0)
3;150.68170.63180.4673
p-value(0)(0)(0)
4;50.70350.73290.554
p-value(0)(0)(0)
4;60.16870.19730.1497
p-value(0.0432)(0.0178)(0.0188)
4;70.73810.71010.5388
p-value(0)(0)(0)
4;80.62690.55820.4116
p-value(0)(0)(0)
4;90.64720.59420.431
p-value(0)(0)(0)
4;100.64050.60530.4426
p-value(0)(0)(0)
4;110.63740.59630.4364
p-value(0)(0)(0)
4;120.65240.6340.4695
p-value(0)(0)(0)
4;130.72170.67960.5075
p-value(0)(0)(0)
4;140.71060.65760.4952
p-value(0)(0)(0)
4;150.70320.65140.4913
p-value(0)(0)(0)
5;60.18970.17220.1337
p-value(0.0228)(0.039)(0.0367)
5;70.60770.62040.4547
p-value(0)(0)(0)
5;80.51080.50860.376
p-value(0)(0)(0)
5;90.50370.51560.3775
p-value(0)(0)(0)
5;100.49620.52820.3865
p-value(0)(0)(0)
5;110.42970.45040.3186
p-value(0)(0)(0)
5;120.44090.53750.39
p-value(0)(0)(0)
5;130.43450.50130.3558
p-value(0)(0)(0)
5;140.46970.54650.394
p-value(0)(0)(0)
5;150.47420.55150.3969
p-value(0)(0)(0)
6;70.07390.07710.0594
p-value(0.3786)(0.3584)(0.3543)
6;80.1480.04970.0366
p-value(0.0767)(0.5541)(0.573)
6;90.12550.03390.0268
p-value(0.134)(0.6865)(0.6764)
6;100.09850.0270.0234
p-value(0.2402)(0.7477)(0.7151)
6;110.13640.1110.0855
p-value(0.1032)(0.1854)(0.1804)
6;120.04990.04240.0359
p-value(0.5528)(0.6139)(0.5734)
6;130.0390.09670.0704
p-value(0.6425)(0.249)(0.2702)
6;140.04620.12190.0899
p-value(0.5824)(0.1454)(0.1615)
6;150.05830.13020.0965
p-value(0.4873)(0.1198)(0.1329)
7;80.67590.59380.4394
p-value(0)(0)(0)
7;90.69680.62980.463
p-value(0)(0)(0)
7;100.71620.66840.4969
p-value(0)(0)(0)
7;110.63980.60090.4408
p-value(0)(0)(0)
7;120.74090.7490.5736
p-value(0)(0)(0)
7;130.73180.73510.561
p-value(0)(0)(0)
7;140.76620.71970.5553
p-value(0)(0)(0)
7;150.77420.730.5659
p-value(0)(0)(0)
8;90.97090.96050.8735
p-value(0)(0)(0)
8;100.88690.83980.688
p-value(0)(0)(0)
8;110.61380.5610.4205
p-value(0)(0)(0)
8;120.68690.66740.506
p-value(0)(0)(0)
8;130.60930.54830.4088
p-value(0)(0)(0)
8;140.59390.54250.4009
p-value(0)(0)(0)
8;150.59610.53820.3963
p-value(0)(0)(0)
9;100.92930.89910.7525
p-value(0)(0)(0)
9;110.62660.58460.4336
p-value(0)(0)(0)
9;120.73270.70890.5325
p-value(0)(0)(0)
9;130.64330.58940.4348
p-value(0)(0)(0)
9;140.62140.56980.4158
p-value(0)(0)(0)
9;150.62220.56350.4105
p-value(0)(0)(0)
10;110.63990.60640.4592
p-value(0)(0)(0)
10;120.8020.76920.5899
p-value(0)(0)(0)
10;130.69940.66850.4988
p-value(0)(0)(0)
10;140.6480.59010.4375
p-value(0)(0)(0)
10;150.64920.59080.4363
p-value(0)(0)(0)
11;120.72160.70840.5493
p-value(0)(0)(0)
11;130.75630.70170.5394
p-value(0)(0)(0)
11;140.75830.73790.5655
p-value(0)(0)(0)
11;150.75370.73780.5653
p-value(0)(0)(0)
12;130.84630.82170.6572
p-value(0)(0)(0)
12;140.8060.78280.613
p-value(0)(0)(0)
12;150.80440.78330.614
p-value(0)(0)(0)
13;140.81950.80470.6352
p-value(0)(0)(0)
13;150.81220.79990.6297
p-value(0)(0)(0)
14;150.99770.99670.9693
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')