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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 23 Dec 2011 08:34:52 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/23/t13246473107s241icu4oot7q9.htm/, Retrieved Mon, 29 Apr 2024 20:02:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=160394, Retrieved Mon, 29 Apr 2024 20:02:49 +0000

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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] [2011-12-15 10:04:30] [1111aba4ee34551ac529aa485234fd25]
-           [Kendall tau Correlation Matrix] [] [2011-12-23 13:34:52] [6601a4463d1f95e8006e851903a6d39a] [Current]

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Dataseries X:

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1565	129404	80	500	109	0	20	18	70	63	18158	5636	22622	30	28
1134	130358	46	329	68	1	38	17	68	50	30461	9079	73570	42	39
192	7215	18	72	1	0	0	0	0	0	1423	603	1929	0	0
2033	112861	85	584	146	0	49	22	68	51	25629	8874	36294	54	54
3283	219904	126	1100	124	0	76	30	120	112	48758	17988	62378	86	80
5877	402036	218	1618	267	1	104	31	120	118	129230	21325	167760	157	144
1322	117604	50	442	83	1	37	19	72	59	27376	8325	52443	36	36
1187	126737	49	321	48	0	53	25	96	90	26706	7117	57283	48	48
1463	99729	38	406	87	0	42	30	109	50	26505	7996	36614	45	42
2568	256310	86	818	129	1	62	26	104	79	49801	14218	93268	77	71
1810	113066	69	568	146	2	50	20	54	49	46580	6321	35439	49	49
1915	165392	62	595	113	0	66	30	118	91	48352	19690	72405	77	74
1443	77780	89	529	60	0	38	15	49	32	13899	5659	24044	28	27
2415	152673	84	818	240	4	48	22	88	82	39342	11370	55909	84	83
1254	134368	47	359	50	4	42	17	60	58	27465	4778	44689	31	31
1374	125769	67	419	81	3	47	19	74	65	55211	5954	49319	28	28
1504	123467	50	364	85	0	71	28	112	111	74098	22924	62075	99	98
999	56232	47	284	62	5	0	12	45	36	13497	70	2341	2	2
2222	108458	79	683	127	0	50	28	110	89	38338	14369	40551	41	43
634	22762	21	188	44	0	12	13	39	28	52505	3706	11621	25	24
849	48633	50	291	37	0	16	14	55	35	10663	3147	18741	16	16
2189	182081	83	640	94	0	77	27	102	78	74484	16801	84202	96	95
1469	140857	59	520	127	0	29	25	96	67	28895	2162	15334	23	22
1791	93773	46	532	159	1	38	30	86	61	32827	4721	28024	33	33
1743	133398	78	547	41	1	50	21	78	58	36188	5290	53306	46	45
1180	113933	23	428	153	0	33	17	64	49	28173	6446	37918	59	59
1749	153851	139	561	86	0	49	22	82	77	54926	14711	54819	72	66
1101	140711	75	266	55	0	59	28	100	71	38900	13311	89058	72	70
2391	303844	105	783	78	0	55	26	99	85	88530	13577	103354	62	56
1826	163810	38	754	84	0	42	17	67	56	35482	14634	70239	55	55
1301	123344	40	394	71	0	40	23	87	71	26730	6931	33045	27	27
1433	157640	39	482	111	2	51	20	65	58	29806	9992	63852	41	37
1893	103274	90	593	82	4	45	16	63	34	41799	6185	30905	51	48
2525	193500	105	760	254	0	73	20	80	59	54289	3445	24242	26	26
2033	178768	43	668	66	1	51	21	84	77	36805	12327	78907	65	64
1	0	1	0	0	0	0	0	0	0	0	0	0	0	0
1817	181412	55	855	58	0	46	27	105	75	33146	9898	36005	28	21
1506	92342	47	464	131	3	44	14	51	39	23333	8022	31972	44	44
1820	100023	41	418	258	9	31	29	98	83	47686	10765	35853	36	36
1649	178277	50	607	56	0	71	31	124	123	77783	22717	115301	100	89
1672	145067	58	540	90	2	61	19	75	67	36042	10090	47689	104	101
1433	114146	50	551	57	0	28	30	120	105	34541	12385	34223	35	31
864	86039	25	309	35	2	21	23	84	76	75620	8513	43431	69	65
1683	125481	66	647	53	1	42	21	82	57	60610	5508	52220	73	71
1024	95535	42	321	46	2	44	22	87	82	55041	9628	33863	106	102
1029	129221	78	262	38	2	40	21	78	64	32087	11872	46879	53	53
629	61554	26	180	45	1	15	32	97	57	16356	4186	23228	43	41
1679	168048	82	582	113	0	46	20	80	80	40161	10877	42827	49	46
1715	159121	75	544	104	1	43	26	104	94	55459	17066	65765	38	37
2093	129362	51	758	150	4	47	25	93	72	36679	9175	38167	51	51
658	48188	28	205	37	0	12	22	82	39	22346	2102	14812	14	14
1234	95461	56	317	49	0	46	19	73	60	27377	10807	32615	40	40
2059	229864	64	709	83	0	56	24	87	84	50273	13662	82188	79	77
1725	191094	68	590	67	0	47	26	95	69	32104	9224	51763	52	51
1482	158572	50	537	39	1	48	27	105	102	27016	9001	59325	44	43
1454	111388	47	443	69	6	35	10	37	28	19715	7204	48976	34	33
1620	172614	58	429	58	0	45	26	96	65	33629	6572	43384	47	47
733	63205	18	205	68	0	25	23	88	67	27084	7509	26692	32	31
894	109102	56	310	30	0	47	21	83	80	32352	12920	53279	31	31
2343	137303	74	785	54	10	28	34	124	79	51845	5438	20652	40	40
1503	125304	50	434	65	6	48	29	116	107	26591	11489	38338	42	42
1627	88620	65	602	81	0	32	19	76	60	29677	6661	36735	34	35
1119	95808	48	317	84	11	28	19	65	53	54237	7941	42764	40	40
897	83419	29	288	45	3	31	23	86	59	20284	6173	44331	35	30
855	101723	25	285	52	0	13	22	85	80	22741	5562	41354	11	11
1229	94982	37	391	36	0	38	29	107	89	34178	9492	47879	43	41
1991	143566	61	449	80	8	48	31	124	115	69551	17456	103793	53	53
2393	113325	63	715	144	2	68	21	78	59	29653	9422	52235	82	82
820	81518	32	208	45	0	32	21	83	66	38071	10913	49825	41	41
340	31970	15	101	40	0	5	21	78	42	4157	1283	4105	6	6
2443	192268	102	858	126	3	53	15	59	35	28321	6198	58687	82	81
1030	91261	55	306	75	1	33	9	33	3	40195	4501	40745	47	47
1091	80820	56	360	54	2	54	23	92	72	48158	9560	33187	108	100
1414	85829	59	424	84	1	37	18	52	38	13310	3394	14063	46	46
2192	116322	53	562	86	0	52	31	121	107	78474	9871	37407	38	38
1082	56544	32	292	62	2	0	25	92	73	6386	2419	7190	0	0
1764	116173	51	492	99	1	52	24	99	80	31588	10630	49562	45	45
2072	118781	80	690	63	0	51	22	86	69	61254	8536	76324	57	56
816	60138	23	253	76	0	16	21	75	46	21152	4911	21928	20	18
1121	73422	66	366	92	0	33	26	96	52	41272	9775	27860	56	54
809	67751	57	192	45	0	48	22	81	58	34165	11227	28078	38	37
1699	214002	53	620	57	0	33	26	104	85	37054	6916	49577	42	40
751	51185	24	221	44	0	24	20	76	13	12368	3424	28145	37	37
1309	97181	32	438	132	0	37	25	90	61	23168	8637	36241	36	36
732	45100	39	247	44	0	17	19	75	49	16380	3189	10824	34	34
1327	115801	43	388	67	0	32	22	86	47	41242	8178	46892	53	49
2246	186310	190	541	82	0	55	25	100	93	48450	16739	61264	85	82
968	71960	86	233	71	0	39	22	88	65	20790	6094	22933	36	36
1015	80105	48	333	44	5	31	21	80	64	34585	7237	20787	33	33
1100	103613	41	422	68	0	26	20	73	64	35672	7355	43978	57	55
1300	98707	33	452	54	3	37	23	88	57	52168	9734	51305	50	50
1982	136234	67	584	86	1	66	22	79	61	53933	11225	55593	71	71
1091	136781	52	366	59	0	35	21	81	71	34474	6213	51648	32	31
1107	105863	52	406	74	0	24	12	48	43	43753	4875	30552	45	42
666	42228	32	265	18	0	22	9	33	18	36456	8159	23470	33	31
1903	179997	91	606	156	0	37	32	120	103	51183	11893	77530	53	51
1608	169406	50	491	87	0	86	24	90	76	52742	10754	57299	64	64
223	19349	12	67	15	0	13	1	2	0	3895	786	9604	14	14
1807	160819	87	617	104	1	21	24	96	83	37076	9706	34684	38	37
1466	109510	53	597	54	0	32	25	86	73	24079	7796	41094	39	37
552	43803	24	240	11	0	8	4	15	4	2325	593	3439	8	8
708	47062	19	219	37	0	38	15	48	41	29354	5600	25171	38	38
1079	110845	44	349	80	0	45	21	81	57	30341	7245	23437	24	23
957	92517	52	241	66	1	24	23	84	52	18992	7360	34086	22	22
585	58660	36	136	27	0	23	12	46	24	15292	4574	24649	18	18
596	27676	22	194	59	0	2	16	59	17	5842	522	2342	3	1
980	98550	32	222	113	0	52	24	96	89	28918	10905	45571	49	48
585	43646	24	153	24	0	5	9	29	20	3738	999	3255	5	5
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
975	75566	28	281	58	0	43	25	91	51	95352	9016	30002	47	46
750	57359	48	240	43	0	18	17	63	63	37478	5134	19360	33	33
1071	104330	36	358	45	0	44	18	68	48	26839	6608	43320	44	41
931	70369	47	302	55	0	45	21	84	70	26783	8577	35513	56	57
783	65494	56	267	66	0	29	17	54	32	33392	1543	23536	49	49
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
874	143931	37	287	67	0	32	20	75	72	25446	9803	54438	45	45
1327	117946	66	476	67	0	65	26	87	56	59847	12140	56812	78	78
1831	137332	85	519	118	1	26	27	108	66	28162	6678	33838	51	46
750	84336	33	243	51	0	24	20	80	77	33298	6420	32366	25	25
778	43410	19	292	63	0	7	1	3	3	2781	4	13	1	1
1373	136250	58	410	84	1	62	24	93	73	37121	7979	55082	62	59
807	79015	34	217	35	0	30	14	55	37	22698	5141	31334	29	29
1544	100578	45	448	58	8	49	27	99	57	27615	1311	16612	26	26
685	57586	38	160	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
1336	105757	42	412	51	2	42	16	60	55	23164	8396	47413	43	43
954	103651	25	332	64	0	23	23	88	84	20304	5462	27389	36	36
1283	113402	35	417	96	0	40	28	112	90	34409	7271	30425	43	41
256	11796	9	79	22	0	1	2	8	1	0	0	0	0	0
81	7627	9	25	7	0	0	0	0	0	0	0	0	0	0
1214	121085	49	431	34	0	29	17	52	38	92538	4423	33510	33	32
41	6836	3	11	5	0	0	1	4	0	0	0	0	0	0
1634	139563	46	564	43	5	46	17	57	36	46037	5331	40389	53	53
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
890	95079	42	295	49	0	21	25	91	75	23924	6676	22205	19	18
1203	80763	32	230	44	0	21	26	89	52	52230	1489	17231	26	26
81	7131	4	27	0	1	0	0	0	0	0	0	0	0	0
61	4194	11	14	4	0	0	0	0	0	0	0	0	0	0
849	60378	20	240	40	1	15	15	54	45	8019	3080	11017	16	16
1035	109173	44	251	52	0	47	20	77	66	34542	11409	46741	84	84
964	83484	16	347	47	0	17	19	76	48	21157	6769	39869	28	22

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	6 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160394&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=160394&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160394&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	6 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=kendall)
	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
1	1	0.697	0.638	0.838	0.597	0.22	0.602	0.46	0.459	0.467	0.486	0.483	0.532	0.509	0.508
2	0.697	1	0.574	0.677	0.483	0.123	0.593	0.439	0.459	0.538	0.487	0.529	0.666	0.518	0.511
3	0.638	0.574	1	0.602	0.473	0.14	0.53	0.35	0.354	0.392	0.454	0.426	0.438	0.463	0.464
4	0.838	0.677	0.602	1	0.551	0.179	0.542	0.405	0.406	0.434	0.455	0.449	0.511	0.482	0.479
5	0.597	0.483	0.473	0.551	1	0.143	0.445	0.375	0.366	0.37	0.335	0.406	0.369	0.406	0.405
6	0.22	0.123	0.14	0.179	0.143	1	0.114	0.037	0.028	0.043	0.117	0.047	0.114	0.134	0.14
7	0.602	0.593	0.53	0.542	0.445	0.114	1	0.414	0.419	0.461	0.495	0.602	0.627	0.64	0.649
8	0.46	0.439	0.35	0.405	0.375	0.037	0.414	1	0.903	0.679	0.406	0.498	0.4	0.379	0.372
9	0.459	0.459	0.354	0.406	0.366	0.028	0.419	0.903	1	0.719	0.406	0.516	0.413	0.38	0.374
10	0.467	0.538	0.392	0.434	0.37	0.043	0.461	0.679	0.719	1	0.441	0.594	0.499	0.415	0.415
11	0.486	0.487	0.454	0.455	0.335	0.117	0.495	0.406	0.406	0.441	1	0.509	0.497	0.538	0.539
12	0.483	0.529	0.426	0.449	0.406	0.047	0.602	0.498	0.516	0.594	0.509	1	0.66	0.591	0.589
13	0.532	0.666	0.438	0.511	0.369	0.114	0.627	0.4	0.413	0.499	0.497	0.66	1	0.623	0.615
14	0.509	0.518	0.463	0.482	0.406	0.134	0.64	0.379	0.38	0.415	0.538	0.591	0.623	1	0.972
15	0.508	0.511	0.464	0.479	0.405	0.14	0.649	0.372	0.374	0.415	0.539	0.589	0.615	0.972	1

\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 & 0.697 & 0.638 & 0.838 & 0.597 & 0.22 & 0.602 & 0.46 & 0.459 & 0.467 & 0.486 & 0.483 & 0.532 & 0.509 & 0.508 \tabularnewline 2 & 0.697 & 1 & 0.574 & 0.677 & 0.483 & 0.123 & 0.593 & 0.439 & 0.459 & 0.538 & 0.487 & 0.529 & 0.666 & 0.518 & 0.511 \tabularnewline 3 & 0.638 & 0.574 & 1 & 0.602 & 0.473 & 0.14 & 0.53 & 0.35 & 0.354 & 0.392 & 0.454 & 0.426 & 0.438 & 0.463 & 0.464 \tabularnewline 4 & 0.838 & 0.677 & 0.602 & 1 & 0.551 & 0.179 & 0.542 & 0.405 & 0.406 & 0.434 & 0.455 & 0.449 & 0.511 & 0.482 & 0.479 \tabularnewline 5 & 0.597 & 0.483 & 0.473 & 0.551 & 1 & 0.143 & 0.445 & 0.375 & 0.366 & 0.37 & 0.335 & 0.406 & 0.369 & 0.406 & 0.405 \tabularnewline 6 & 0.22 & 0.123 & 0.14 & 0.179 & 0.143 & 1 & 0.114 & 0.037 & 0.028 & 0.043 & 0.117 & 0.047 & 0.114 & 0.134 & 0.14 \tabularnewline 7 & 0.602 & 0.593 & 0.53 & 0.542 & 0.445 & 0.114 & 1 & 0.414 & 0.419 & 0.461 & 0.495 & 0.602 & 0.627 & 0.64 & 0.649 \tabularnewline 8 & 0.46 & 0.439 & 0.35 & 0.405 & 0.375 & 0.037 & 0.414 & 1 & 0.903 & 0.679 & 0.406 & 0.498 & 0.4 & 0.379 & 0.372 \tabularnewline 9 & 0.459 & 0.459 & 0.354 & 0.406 & 0.366 & 0.028 & 0.419 & 0.903 & 1 & 0.719 & 0.406 & 0.516 & 0.413 & 0.38 & 0.374 \tabularnewline 10 & 0.467 & 0.538 & 0.392 & 0.434 & 0.37 & 0.043 & 0.461 & 0.679 & 0.719 & 1 & 0.441 & 0.594 & 0.499 & 0.415 & 0.415 \tabularnewline 11 & 0.486 & 0.487 & 0.454 & 0.455 & 0.335 & 0.117 & 0.495 & 0.406 & 0.406 & 0.441 & 1 & 0.509 & 0.497 & 0.538 & 0.539 \tabularnewline 12 & 0.483 & 0.529 & 0.426 & 0.449 & 0.406 & 0.047 & 0.602 & 0.498 & 0.516 & 0.594 & 0.509 & 1 & 0.66 & 0.591 & 0.589 \tabularnewline 13 & 0.532 & 0.666 & 0.438 & 0.511 & 0.369 & 0.114 & 0.627 & 0.4 & 0.413 & 0.499 & 0.497 & 0.66 & 1 & 0.623 & 0.615 \tabularnewline 14 & 0.509 & 0.518 & 0.463 & 0.482 & 0.406 & 0.134 & 0.64 & 0.379 & 0.38 & 0.415 & 0.538 & 0.591 & 0.623 & 1 & 0.972 \tabularnewline 15 & 0.508 & 0.511 & 0.464 & 0.479 & 0.405 & 0.14 & 0.649 & 0.372 & 0.374 & 0.415 & 0.539 & 0.589 & 0.615 & 0.972 & 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=160394&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]0.697[/C][C]0.638[/C][C]0.838[/C][C]0.597[/C][C]0.22[/C][C]0.602[/C][C]0.46[/C][C]0.459[/C][C]0.467[/C][C]0.486[/C][C]0.483[/C][C]0.532[/C][C]0.509[/C][C]0.508[/C][/ROW] [ROW][C]2[/C][C]0.697[/C][C]1[/C][C]0.574[/C][C]0.677[/C][C]0.483[/C][C]0.123[/C][C]0.593[/C][C]0.439[/C][C]0.459[/C][C]0.538[/C][C]0.487[/C][C]0.529[/C][C]0.666[/C][C]0.518[/C][C]0.511[/C][/ROW] [ROW][C]3[/C][C]0.638[/C][C]0.574[/C][C]1[/C][C]0.602[/C][C]0.473[/C][C]0.14[/C][C]0.53[/C][C]0.35[/C][C]0.354[/C][C]0.392[/C][C]0.454[/C][C]0.426[/C][C]0.438[/C][C]0.463[/C][C]0.464[/C][/ROW] [ROW][C]4[/C][C]0.838[/C][C]0.677[/C][C]0.602[/C][C]1[/C][C]0.551[/C][C]0.179[/C][C]0.542[/C][C]0.405[/C][C]0.406[/C][C]0.434[/C][C]0.455[/C][C]0.449[/C][C]0.511[/C][C]0.482[/C][C]0.479[/C][/ROW] [ROW][C]5[/C][C]0.597[/C][C]0.483[/C][C]0.473[/C][C]0.551[/C][C]1[/C][C]0.143[/C][C]0.445[/C][C]0.375[/C][C]0.366[/C][C]0.37[/C][C]0.335[/C][C]0.406[/C][C]0.369[/C][C]0.406[/C][C]0.405[/C][/ROW] [ROW][C]6[/C][C]0.22[/C][C]0.123[/C][C]0.14[/C][C]0.179[/C][C]0.143[/C][C]1[/C][C]0.114[/C][C]0.037[/C][C]0.028[/C][C]0.043[/C][C]0.117[/C][C]0.047[/C][C]0.114[/C][C]0.134[/C][C]0.14[/C][/ROW] [ROW][C]7[/C][C]0.602[/C][C]0.593[/C][C]0.53[/C][C]0.542[/C][C]0.445[/C][C]0.114[/C][C]1[/C][C]0.414[/C][C]0.419[/C][C]0.461[/C][C]0.495[/C][C]0.602[/C][C]0.627[/C][C]0.64[/C][C]0.649[/C][/ROW] [ROW][C]8[/C][C]0.46[/C][C]0.439[/C][C]0.35[/C][C]0.405[/C][C]0.375[/C][C]0.037[/C][C]0.414[/C][C]1[/C][C]0.903[/C][C]0.679[/C][C]0.406[/C][C]0.498[/C][C]0.4[/C][C]0.379[/C][C]0.372[/C][/ROW] [ROW][C]9[/C][C]0.459[/C][C]0.459[/C][C]0.354[/C][C]0.406[/C][C]0.366[/C][C]0.028[/C][C]0.419[/C][C]0.903[/C][C]1[/C][C]0.719[/C][C]0.406[/C][C]0.516[/C][C]0.413[/C][C]0.38[/C][C]0.374[/C][/ROW] [ROW][C]10[/C][C]0.467[/C][C]0.538[/C][C]0.392[/C][C]0.434[/C][C]0.37[/C][C]0.043[/C][C]0.461[/C][C]0.679[/C][C]0.719[/C][C]1[/C][C]0.441[/C][C]0.594[/C][C]0.499[/C][C]0.415[/C][C]0.415[/C][/ROW] [ROW][C]11[/C][C]0.486[/C][C]0.487[/C][C]0.454[/C][C]0.455[/C][C]0.335[/C][C]0.117[/C][C]0.495[/C][C]0.406[/C][C]0.406[/C][C]0.441[/C][C]1[/C][C]0.509[/C][C]0.497[/C][C]0.538[/C][C]0.539[/C][/ROW] [ROW][C]12[/C][C]0.483[/C][C]0.529[/C][C]0.426[/C][C]0.449[/C][C]0.406[/C][C]0.047[/C][C]0.602[/C][C]0.498[/C][C]0.516[/C][C]0.594[/C][C]0.509[/C][C]1[/C][C]0.66[/C][C]0.591[/C][C]0.589[/C][/ROW] [ROW][C]13[/C][C]0.532[/C][C]0.666[/C][C]0.438[/C][C]0.511[/C][C]0.369[/C][C]0.114[/C][C]0.627[/C][C]0.4[/C][C]0.413[/C][C]0.499[/C][C]0.497[/C][C]0.66[/C][C]1[/C][C]0.623[/C][C]0.615[/C][/ROW] [ROW][C]14[/C][C]0.509[/C][C]0.518[/C][C]0.463[/C][C]0.482[/C][C]0.406[/C][C]0.134[/C][C]0.64[/C][C]0.379[/C][C]0.38[/C][C]0.415[/C][C]0.538[/C][C]0.591[/C][C]0.623[/C][C]1[/C][C]0.972[/C][/ROW] [ROW][C]15[/C][C]0.508[/C][C]0.511[/C][C]0.464[/C][C]0.479[/C][C]0.405[/C][C]0.14[/C][C]0.649[/C][C]0.372[/C][C]0.374[/C][C]0.415[/C][C]0.539[/C][C]0.589[/C][C]0.615[/C][C]0.972[/C][C]1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=160394&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160394&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)
	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
1	1	0.697	0.638	0.838	0.597	0.22	0.602	0.46	0.459	0.467	0.486	0.483	0.532	0.509	0.508
2	0.697	1	0.574	0.677	0.483	0.123	0.593	0.439	0.459	0.538	0.487	0.529	0.666	0.518	0.511
3	0.638	0.574	1	0.602	0.473	0.14	0.53	0.35	0.354	0.392	0.454	0.426	0.438	0.463	0.464
4	0.838	0.677	0.602	1	0.551	0.179	0.542	0.405	0.406	0.434	0.455	0.449	0.511	0.482	0.479
5	0.597	0.483	0.473	0.551	1	0.143	0.445	0.375	0.366	0.37	0.335	0.406	0.369	0.406	0.405
6	0.22	0.123	0.14	0.179	0.143	1	0.114	0.037	0.028	0.043	0.117	0.047	0.114	0.134	0.14
7	0.602	0.593	0.53	0.542	0.445	0.114	1	0.414	0.419	0.461	0.495	0.602	0.627	0.64	0.649
8	0.46	0.439	0.35	0.405	0.375	0.037	0.414	1	0.903	0.679	0.406	0.498	0.4	0.379	0.372
9	0.459	0.459	0.354	0.406	0.366	0.028	0.419	0.903	1	0.719	0.406	0.516	0.413	0.38	0.374
10	0.467	0.538	0.392	0.434	0.37	0.043	0.461	0.679	0.719	1	0.441	0.594	0.499	0.415	0.415
11	0.486	0.487	0.454	0.455	0.335	0.117	0.495	0.406	0.406	0.441	1	0.509	0.497	0.538	0.539
12	0.483	0.529	0.426	0.449	0.406	0.047	0.602	0.498	0.516	0.594	0.509	1	0.66	0.591	0.589
13	0.532	0.666	0.438	0.511	0.369	0.114	0.627	0.4	0.413	0.499	0.497	0.66	1	0.623	0.615
14	0.509	0.518	0.463	0.482	0.406	0.134	0.64	0.379	0.38	0.415	0.538	0.591	0.623	1	0.972
15	0.508	0.511	0.464	0.479	0.405	0.14	0.649	0.372	0.374	0.415	0.539	0.589	0.615	0.972	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
1;2	0.8833	0.8613	0.697
p-value	(0)	(0)	(0)
1;3	0.8372	0.8087	0.638
p-value	(0)	(0)	(0)
1;4	0.9646	0.9599	0.838
p-value	(0)	(0)	(0)
1;5	0.7587	0.7737	0.5969
p-value	(0)	(0)	(0)
1;6	0.2043	0.2888	0.2199
p-value	(0.014)	(4e-04)	(6e-04)
1;7	0.7865	0.7735	0.6016
p-value	(0)	(0)	(0)
1;8	0.6439	0.609	0.46
p-value	(0)	(0)	(0)
1;9	0.6532	0.6152	0.4589
p-value	(0)	(0)	(0)
1;10	0.6658	0.629	0.4674
p-value	(0)	(0)	(0)
1;11	0.6856	0.6504	0.4858
p-value	(0)	(0)	(0)
1;12	0.6674	0.6549	0.4829
p-value	(0)	(0)	(0)
1;13	0.7494	0.7016	0.5324
p-value	(0)	(0)	(0)
1;14	0.7181	0.6789	0.5085
p-value	(0)	(0)	(0)
1;15	0.7109	0.6766	0.5079
p-value	(0)	(0)	(0)
2;3	0.7743	0.7436	0.5737
p-value	(0)	(0)	(0)
2;4	0.8781	0.8498	0.677
p-value	(0)	(0)	(0)
2;5	0.6149	0.6484	0.4835
p-value	(0)	(0)	(0)
2;6	0.0836	0.1661	0.1231
p-value	(0.3189)	(0.0467)	(0.0549)
2;7	0.7925	0.7692	0.5931
p-value	(0)	(0)	(0)
2;8	0.6563	0.5923	0.4389
p-value	(0)	(0)	(0)
2;9	0.68	0.6231	0.459
p-value	(0)	(0)	(0)
2;10	0.7256	0.709	0.5379
p-value	(0)	(0)	(0)
2;11	0.6905	0.648	0.4872
p-value	(0)	(0)	(0)
2;12	0.7236	0.7061	0.5292
p-value	(0)	(0)	(0)
2;13	0.8548	0.8305	0.6656
p-value	(0)	(0)	(0)
2;14	0.7216	0.6909	0.5184
p-value	(0)	(0)	(0)
2;15	0.7088	0.6815	0.5113
p-value	(0)	(0)	(0)
3;4	0.7841	0.7749	0.6024
p-value	(0)	(0)	(0)
3;5	0.5992	0.6328	0.4731
p-value	(0)	(0)	(0)
3;6	0.0785	0.1851	0.1396
p-value	(0.3496)	(0.0264)	(0.0302)
3;7	0.6832	0.7024	0.5297
p-value	(0)	(0)	(0)
3;8	0.5174	0.4792	0.3496
p-value	(0)	(0)	(0)
3;9	0.5335	0.4934	0.3536
p-value	(0)	(0)	(0)
3;10	0.5577	0.5385	0.392
p-value	(0)	(0)	(0)
3;11	0.5952	0.6055	0.4535
p-value	(0)	(0)	(0)
3;12	0.6036	0.5822	0.4259
p-value	(0)	(0)	(0)
3;13	0.6377	0.5951	0.4376
p-value	(0)	(0)	(0)
3;14	0.6572	0.6278	0.4633
p-value	(0)	(0)	(0)
3;15	0.6487	0.6287	0.4636
p-value	(0)	(0)	(0)
4;5	0.7077	0.7227	0.5505
p-value	(0)	(0)	(0)
4;6	0.16	0.2402	0.1791
p-value	(0.0554)	(0.0037)	(0.0052)
4;7	0.746	0.7151	0.5421
p-value	(0)	(0)	(0)
4;8	0.6097	0.5465	0.4051
p-value	(0)	(0)	(0)
4;9	0.6218	0.5572	0.4065
p-value	(0)	(0)	(0)
4;10	0.6352	0.5955	0.4342
p-value	(0)	(0)	(0)
4;11	0.6388	0.6193	0.4548
p-value	(0)	(0)	(0)
4;12	0.6335	0.6156	0.4493
p-value	(0)	(0)	(0)
4;13	0.716	0.6807	0.5111
p-value	(0)	(0)	(0)
4;14	0.6872	0.6519	0.4819
p-value	(0)	(0)	(0)
4;15	0.6767	0.6454	0.4793
p-value	(0)	(0)	(0)
5;6	0.2023	0.1832	0.143
p-value	(0.015)	(0.0279)	(0.0264)
5;7	0.5798	0.6024	0.445
p-value	(0)	(0)	(0)
5;8	0.5137	0.503	0.3754
p-value	(0)	(0)	(0)
5;9	0.4987	0.4982	0.3664
p-value	(0)	(0)	(0)
5;10	0.496	0.5066	0.3698
p-value	(0)	(0)	(0)
5;11	0.4518	0.4707	0.3351
p-value	(0)	(0)	(0)
5;12	0.4654	0.5571	0.4064
p-value	(0)	(0)	(0)
5;13	0.4717	0.5165	0.369
p-value	(0)	(0)	(0)
5;14	0.503	0.5583	0.4055
p-value	(0)	(0)	(0)
5;15	0.5054	0.5581	0.4049
p-value	(0)	(0)	(0)
6;7	0.0688	0.1522	0.1139
p-value	(0.4127)	(0.0686)	(0.0784)
6;8	0.1485	0.052	0.0375
p-value	(0.0756)	(0.5362)	(0.5669)
6;9	0.1287	0.04	0.0284
p-value	(0.1244)	(0.6342)	(0.6603)
6;10	0.1147	0.0594	0.0429
p-value	(0.1709)	(0.4797)	(0.5065)
6;11	0.1397	0.1518	0.1174
p-value	(0.095)	(0.0693)	(0.0676)
6;12	0.0298	0.0627	0.0473
p-value	(0.723)	(0.4555)	(0.4615)
6;13	0.0629	0.1582	0.1141
p-value	(0.4538)	(0.0583)	(0.0758)
6;14	0.0634	0.1751	0.1344
p-value	(0.45)	(0.0359)	(0.0376)
6;15	0.0741	0.1818	0.1398
p-value	(0.3777)	(0.0292)	(0.0306)
7;8	0.6513	0.5535	0.4143
p-value	(0)	(0)	(0)
7;9	0.6637	0.5703	0.4191
p-value	(0)	(0)	(0)
7;10	0.6889	0.6184	0.4608
p-value	(0)	(0)	(0)
7;11	0.697	0.6571	0.4951
p-value	(0)	(0)	(0)
7;12	0.7949	0.7696	0.6015
p-value	(0)	(0)	(0)
7;13	0.7979	0.7909	0.6269
p-value	(0)	(0)	(0)
7;14	0.8354	0.7954	0.6403
p-value	(0)	(0)	(0)
7;15	0.8397	0.8012	0.6486
p-value	(0)	(0)	(0)
8;9	0.9843	0.976	0.9028
p-value	(0)	(0)	(0)
8;10	0.89	0.8265	0.6786
p-value	(0)	(0)	(0)
8;11	0.6178	0.5471	0.4056
p-value	(0)	(0)	(0)
8;12	0.6781	0.6486	0.4978
p-value	(0)	(0)	(0)
8;13	0.605	0.5331	0.3998
p-value	(0)	(0)	(0)
8;14	0.5911	0.5165	0.3789
p-value	(0)	(0)	(0)
8;15	0.589	0.5093	0.3719
p-value	(0)	(0)	(0)
9;10	0.9224	0.8732	0.7191
p-value	(0)	(0)	(0)
9;11	0.6181	0.5553	0.4064
p-value	(0)	(0)	(0)
9;12	0.7161	0.6794	0.5162
p-value	(0)	(0)	(0)
9;13	0.6325	0.561	0.4131
p-value	(0)	(0)	(0)
9;14	0.605	0.5274	0.38
p-value	(0)	(0)	(0)
9;15	0.6008	0.5192	0.3738
p-value	(0)	(0)	(0)
10;11	0.6376	0.5878	0.4406
p-value	(0)	(0)	(0)
10;12	0.7991	0.7694	0.5935
p-value	(0)	(0)	(0)
10;13	0.7022	0.6685	0.4993
p-value	(0)	(0)	(0)
10;14	0.6366	0.5625	0.4145
p-value	(0)	(0)	(0)
10;15	0.6324	0.5615	0.4153
p-value	(0)	(0)	(0)
11;12	0.6896	0.6638	0.5086
p-value	(0)	(0)	(0)
11;13	0.7218	0.656	0.4973
p-value	(0)	(0)	(0)
11;14	0.721	0.7035	0.5379
p-value	(0)	(0)	(0)
11;15	0.7142	0.7061	0.5392
p-value	(0)	(0)	(0)
12;13	0.8439	0.8285	0.6598
p-value	(0)	(0)	(0)
12;14	0.7874	0.7633	0.591
p-value	(0)	(0)	(0)
12;15	0.7822	0.7588	0.589
p-value	(0)	(0)	(0)
13;14	0.7902	0.7913	0.6226
p-value	(0)	(0)	(0)
13;15	0.7797	0.7843	0.6153
p-value	(0)	(0)	(0)
14;15	0.9976	0.9972	0.9724
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 & 0.8833 & 0.8613 & 0.697 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;3 & 0.8372 & 0.8087 & 0.638 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;4 & 0.9646 & 0.9599 & 0.838 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;5 & 0.7587 & 0.7737 & 0.5969 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;6 & 0.2043 & 0.2888 & 0.2199 \tabularnewline
p-value & (0.014) & (4e-04) & (6e-04) \tabularnewline
1;7 & 0.7865 & 0.7735 & 0.6016 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;8 & 0.6439 & 0.609 & 0.46 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;9 & 0.6532 & 0.6152 & 0.4589 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;10 & 0.6658 & 0.629 & 0.4674 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;11 & 0.6856 & 0.6504 & 0.4858 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;12 & 0.6674 & 0.6549 & 0.4829 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;13 & 0.7494 & 0.7016 & 0.5324 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;14 & 0.7181 & 0.6789 & 0.5085 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
1;15 & 0.7109 & 0.6766 & 0.5079 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;3 & 0.7743 & 0.7436 & 0.5737 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;4 & 0.8781 & 0.8498 & 0.677 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;5 & 0.6149 & 0.6484 & 0.4835 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;6 & 0.0836 & 0.1661 & 0.1231 \tabularnewline
p-value & (0.3189) & (0.0467) & (0.0549) \tabularnewline
2;7 & 0.7925 & 0.7692 & 0.5931 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;8 & 0.6563 & 0.5923 & 0.4389 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;9 & 0.68 & 0.6231 & 0.459 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;10 & 0.7256 & 0.709 & 0.5379 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;11 & 0.6905 & 0.648 & 0.4872 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;12 & 0.7236 & 0.7061 & 0.5292 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;13 & 0.8548 & 0.8305 & 0.6656 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;14 & 0.7216 & 0.6909 & 0.5184 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
2;15 & 0.7088 & 0.6815 & 0.5113 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;4 & 0.7841 & 0.7749 & 0.6024 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;5 & 0.5992 & 0.6328 & 0.4731 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;6 & 0.0785 & 0.1851 & 0.1396 \tabularnewline
p-value & (0.3496) & (0.0264) & (0.0302) \tabularnewline
3;7 & 0.6832 & 0.7024 & 0.5297 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;8 & 0.5174 & 0.4792 & 0.3496 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;9 & 0.5335 & 0.4934 & 0.3536 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;10 & 0.5577 & 0.5385 & 0.392 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;11 & 0.5952 & 0.6055 & 0.4535 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;12 & 0.6036 & 0.5822 & 0.4259 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;13 & 0.6377 & 0.5951 & 0.4376 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;14 & 0.6572 & 0.6278 & 0.4633 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
3;15 & 0.6487 & 0.6287 & 0.4636 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;5 & 0.7077 & 0.7227 & 0.5505 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;6 & 0.16 & 0.2402 & 0.1791 \tabularnewline
p-value & (0.0554) & (0.0037) & (0.0052) \tabularnewline
4;7 & 0.746 & 0.7151 & 0.5421 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;8 & 0.6097 & 0.5465 & 0.4051 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;9 & 0.6218 & 0.5572 & 0.4065 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;10 & 0.6352 & 0.5955 & 0.4342 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;11 & 0.6388 & 0.6193 & 0.4548 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;12 & 0.6335 & 0.6156 & 0.4493 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;13 & 0.716 & 0.6807 & 0.5111 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;14 & 0.6872 & 0.6519 & 0.4819 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
4;15 & 0.6767 & 0.6454 & 0.4793 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;6 & 0.2023 & 0.1832 & 0.143 \tabularnewline
p-value & (0.015) & (0.0279) & (0.0264) \tabularnewline
5;7 & 0.5798 & 0.6024 & 0.445 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;8 & 0.5137 & 0.503 & 0.3754 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;9 & 0.4987 & 0.4982 & 0.3664 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;10 & 0.496 & 0.5066 & 0.3698 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;11 & 0.4518 & 0.4707 & 0.3351 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;12 & 0.4654 & 0.5571 & 0.4064 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;13 & 0.4717 & 0.5165 & 0.369 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;14 & 0.503 & 0.5583 & 0.4055 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
5;15 & 0.5054 & 0.5581 & 0.4049 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
6;7 & 0.0688 & 0.1522 & 0.1139 \tabularnewline
p-value & (0.4127) & (0.0686) & (0.0784) \tabularnewline
6;8 & 0.1485 & 0.052 & 0.0375 \tabularnewline
p-value & (0.0756) & (0.5362) & (0.5669) \tabularnewline
6;9 & 0.1287 & 0.04 & 0.0284 \tabularnewline
p-value & (0.1244) & (0.6342) & (0.6603) \tabularnewline
6;10 & 0.1147 & 0.0594 & 0.0429 \tabularnewline
p-value & (0.1709) & (0.4797) & (0.5065) \tabularnewline
6;11 & 0.1397 & 0.1518 & 0.1174 \tabularnewline
p-value & (0.095) & (0.0693) & (0.0676) \tabularnewline
6;12 & 0.0298 & 0.0627 & 0.0473 \tabularnewline
p-value & (0.723) & (0.4555) & (0.4615) \tabularnewline
6;13 & 0.0629 & 0.1582 & 0.1141 \tabularnewline
p-value & (0.4538) & (0.0583) & (0.0758) \tabularnewline
6;14 & 0.0634 & 0.1751 & 0.1344 \tabularnewline
p-value & (0.45) & (0.0359) & (0.0376) \tabularnewline
6;15 & 0.0741 & 0.1818 & 0.1398 \tabularnewline
p-value & (0.3777) & (0.0292) & (0.0306) \tabularnewline
7;8 & 0.6513 & 0.5535 & 0.4143 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;9 & 0.6637 & 0.5703 & 0.4191 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;10 & 0.6889 & 0.6184 & 0.4608 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;11 & 0.697 & 0.6571 & 0.4951 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;12 & 0.7949 & 0.7696 & 0.6015 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;13 & 0.7979 & 0.7909 & 0.6269 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;14 & 0.8354 & 0.7954 & 0.6403 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
7;15 & 0.8397 & 0.8012 & 0.6486 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;9 & 0.9843 & 0.976 & 0.9028 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;10 & 0.89 & 0.8265 & 0.6786 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;11 & 0.6178 & 0.5471 & 0.4056 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;12 & 0.6781 & 0.6486 & 0.4978 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;13 & 0.605 & 0.5331 & 0.3998 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;14 & 0.5911 & 0.5165 & 0.3789 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
8;15 & 0.589 & 0.5093 & 0.3719 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;10 & 0.9224 & 0.8732 & 0.7191 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;11 & 0.6181 & 0.5553 & 0.4064 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;12 & 0.7161 & 0.6794 & 0.5162 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;13 & 0.6325 & 0.561 & 0.4131 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;14 & 0.605 & 0.5274 & 0.38 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9;15 & 0.6008 & 0.5192 & 0.3738 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;11 & 0.6376 & 0.5878 & 0.4406 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;12 & 0.7991 & 0.7694 & 0.5935 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;13 & 0.7022 & 0.6685 & 0.4993 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;14 & 0.6366 & 0.5625 & 0.4145 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
10;15 & 0.6324 & 0.5615 & 0.4153 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;12 & 0.6896 & 0.6638 & 0.5086 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;13 & 0.7218 & 0.656 & 0.4973 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;14 & 0.721 & 0.7035 & 0.5379 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
11;15 & 0.7142 & 0.7061 & 0.5392 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;13 & 0.8439 & 0.8285 & 0.6598 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;14 & 0.7874 & 0.7633 & 0.591 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
12;15 & 0.7822 & 0.7588 & 0.589 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
13;14 & 0.7902 & 0.7913 & 0.6226 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
13;15 & 0.7797 & 0.7843 & 0.6153 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
14;15 & 0.9976 & 0.9972 & 0.9724 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=160394&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]0.8833[/C][C]0.8613[/C][C]0.697[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;3[/C][C]0.8372[/C][C]0.8087[/C][C]0.638[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;4[/C][C]0.9646[/C][C]0.9599[/C][C]0.838[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;5[/C][C]0.7587[/C][C]0.7737[/C][C]0.5969[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;6[/C][C]0.2043[/C][C]0.2888[/C][C]0.2199[/C][/ROW]
[ROW][C]p-value[/C][C](0.014)[/C][C](4e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]1;7[/C][C]0.7865[/C][C]0.7735[/C][C]0.6016[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;8[/C][C]0.6439[/C][C]0.609[/C][C]0.46[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;9[/C][C]0.6532[/C][C]0.6152[/C][C]0.4589[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;10[/C][C]0.6658[/C][C]0.629[/C][C]0.4674[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;11[/C][C]0.6856[/C][C]0.6504[/C][C]0.4858[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;12[/C][C]0.6674[/C][C]0.6549[/C][C]0.4829[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;13[/C][C]0.7494[/C][C]0.7016[/C][C]0.5324[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;14[/C][C]0.7181[/C][C]0.6789[/C][C]0.5085[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]1;15[/C][C]0.7109[/C][C]0.6766[/C][C]0.5079[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;3[/C][C]0.7743[/C][C]0.7436[/C][C]0.5737[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;4[/C][C]0.8781[/C][C]0.8498[/C][C]0.677[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;5[/C][C]0.6149[/C][C]0.6484[/C][C]0.4835[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;6[/C][C]0.0836[/C][C]0.1661[/C][C]0.1231[/C][/ROW]
[ROW][C]p-value[/C][C](0.3189)[/C][C](0.0467)[/C][C](0.0549)[/C][/ROW]
[ROW][C]2;7[/C][C]0.7925[/C][C]0.7692[/C][C]0.5931[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;8[/C][C]0.6563[/C][C]0.5923[/C][C]0.4389[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;9[/C][C]0.68[/C][C]0.6231[/C][C]0.459[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;10[/C][C]0.7256[/C][C]0.709[/C][C]0.5379[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;11[/C][C]0.6905[/C][C]0.648[/C][C]0.4872[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;12[/C][C]0.7236[/C][C]0.7061[/C][C]0.5292[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;13[/C][C]0.8548[/C][C]0.8305[/C][C]0.6656[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;14[/C][C]0.7216[/C][C]0.6909[/C][C]0.5184[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]2;15[/C][C]0.7088[/C][C]0.6815[/C][C]0.5113[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;4[/C][C]0.7841[/C][C]0.7749[/C][C]0.6024[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;5[/C][C]0.5992[/C][C]0.6328[/C][C]0.4731[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;6[/C][C]0.0785[/C][C]0.1851[/C][C]0.1396[/C][/ROW]
[ROW][C]p-value[/C][C](0.3496)[/C][C](0.0264)[/C][C](0.0302)[/C][/ROW]
[ROW][C]3;7[/C][C]0.6832[/C][C]0.7024[/C][C]0.5297[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;8[/C][C]0.5174[/C][C]0.4792[/C][C]0.3496[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;9[/C][C]0.5335[/C][C]0.4934[/C][C]0.3536[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;10[/C][C]0.5577[/C][C]0.5385[/C][C]0.392[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;11[/C][C]0.5952[/C][C]0.6055[/C][C]0.4535[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;12[/C][C]0.6036[/C][C]0.5822[/C][C]0.4259[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;13[/C][C]0.6377[/C][C]0.5951[/C][C]0.4376[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;14[/C][C]0.6572[/C][C]0.6278[/C][C]0.4633[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]3;15[/C][C]0.6487[/C][C]0.6287[/C][C]0.4636[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;5[/C][C]0.7077[/C][C]0.7227[/C][C]0.5505[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;6[/C][C]0.16[/C][C]0.2402[/C][C]0.1791[/C][/ROW]
[ROW][C]p-value[/C][C](0.0554)[/C][C](0.0037)[/C][C](0.0052)[/C][/ROW]
[ROW][C]4;7[/C][C]0.746[/C][C]0.7151[/C][C]0.5421[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;8[/C][C]0.6097[/C][C]0.5465[/C][C]0.4051[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;9[/C][C]0.6218[/C][C]0.5572[/C][C]0.4065[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;10[/C][C]0.6352[/C][C]0.5955[/C][C]0.4342[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;11[/C][C]0.6388[/C][C]0.6193[/C][C]0.4548[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;12[/C][C]0.6335[/C][C]0.6156[/C][C]0.4493[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;13[/C][C]0.716[/C][C]0.6807[/C][C]0.5111[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;14[/C][C]0.6872[/C][C]0.6519[/C][C]0.4819[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]4;15[/C][C]0.6767[/C][C]0.6454[/C][C]0.4793[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;6[/C][C]0.2023[/C][C]0.1832[/C][C]0.143[/C][/ROW]
[ROW][C]p-value[/C][C](0.015)[/C][C](0.0279)[/C][C](0.0264)[/C][/ROW]
[ROW][C]5;7[/C][C]0.5798[/C][C]0.6024[/C][C]0.445[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;8[/C][C]0.5137[/C][C]0.503[/C][C]0.3754[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;9[/C][C]0.4987[/C][C]0.4982[/C][C]0.3664[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;10[/C][C]0.496[/C][C]0.5066[/C][C]0.3698[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;11[/C][C]0.4518[/C][C]0.4707[/C][C]0.3351[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;12[/C][C]0.4654[/C][C]0.5571[/C][C]0.4064[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;13[/C][C]0.4717[/C][C]0.5165[/C][C]0.369[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;14[/C][C]0.503[/C][C]0.5583[/C][C]0.4055[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]5;15[/C][C]0.5054[/C][C]0.5581[/C][C]0.4049[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]6;7[/C][C]0.0688[/C][C]0.1522[/C][C]0.1139[/C][/ROW]
[ROW][C]p-value[/C][C](0.4127)[/C][C](0.0686)[/C][C](0.0784)[/C][/ROW]
[ROW][C]6;8[/C][C]0.1485[/C][C]0.052[/C][C]0.0375[/C][/ROW]
[ROW][C]p-value[/C][C](0.0756)[/C][C](0.5362)[/C][C](0.5669)[/C][/ROW]
[ROW][C]6;9[/C][C]0.1287[/C][C]0.04[/C][C]0.0284[/C][/ROW]
[ROW][C]p-value[/C][C](0.1244)[/C][C](0.6342)[/C][C](0.6603)[/C][/ROW]
[ROW][C]6;10[/C][C]0.1147[/C][C]0.0594[/C][C]0.0429[/C][/ROW]
[ROW][C]p-value[/C][C](0.1709)[/C][C](0.4797)[/C][C](0.5065)[/C][/ROW]
[ROW][C]6;11[/C][C]0.1397[/C][C]0.1518[/C][C]0.1174[/C][/ROW]
[ROW][C]p-value[/C][C](0.095)[/C][C](0.0693)[/C][C](0.0676)[/C][/ROW]
[ROW][C]6;12[/C][C]0.0298[/C][C]0.0627[/C][C]0.0473[/C][/ROW]
[ROW][C]p-value[/C][C](0.723)[/C][C](0.4555)[/C][C](0.4615)[/C][/ROW]
[ROW][C]6;13[/C][C]0.0629[/C][C]0.1582[/C][C]0.1141[/C][/ROW]
[ROW][C]p-value[/C][C](0.4538)[/C][C](0.0583)[/C][C](0.0758)[/C][/ROW]
[ROW][C]6;14[/C][C]0.0634[/C][C]0.1751[/C][C]0.1344[/C][/ROW]
[ROW][C]p-value[/C][C](0.45)[/C][C](0.0359)[/C][C](0.0376)[/C][/ROW]
[ROW][C]6;15[/C][C]0.0741[/C][C]0.1818[/C][C]0.1398[/C][/ROW]
[ROW][C]p-value[/C][C](0.3777)[/C][C](0.0292)[/C][C](0.0306)[/C][/ROW]
[ROW][C]7;8[/C][C]0.6513[/C][C]0.5535[/C][C]0.4143[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;9[/C][C]0.6637[/C][C]0.5703[/C][C]0.4191[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;10[/C][C]0.6889[/C][C]0.6184[/C][C]0.4608[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;11[/C][C]0.697[/C][C]0.6571[/C][C]0.4951[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;12[/C][C]0.7949[/C][C]0.7696[/C][C]0.6015[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;13[/C][C]0.7979[/C][C]0.7909[/C][C]0.6269[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;14[/C][C]0.8354[/C][C]0.7954[/C][C]0.6403[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]7;15[/C][C]0.8397[/C][C]0.8012[/C][C]0.6486[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;9[/C][C]0.9843[/C][C]0.976[/C][C]0.9028[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;10[/C][C]0.89[/C][C]0.8265[/C][C]0.6786[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;11[/C][C]0.6178[/C][C]0.5471[/C][C]0.4056[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;12[/C][C]0.6781[/C][C]0.6486[/C][C]0.4978[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;13[/C][C]0.605[/C][C]0.5331[/C][C]0.3998[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;14[/C][C]0.5911[/C][C]0.5165[/C][C]0.3789[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]8;15[/C][C]0.589[/C][C]0.5093[/C][C]0.3719[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;10[/C][C]0.9224[/C][C]0.8732[/C][C]0.7191[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;11[/C][C]0.6181[/C][C]0.5553[/C][C]0.4064[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;12[/C][C]0.7161[/C][C]0.6794[/C][C]0.5162[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;13[/C][C]0.6325[/C][C]0.561[/C][C]0.4131[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;14[/C][C]0.605[/C][C]0.5274[/C][C]0.38[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9;15[/C][C]0.6008[/C][C]0.5192[/C][C]0.3738[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;11[/C][C]0.6376[/C][C]0.5878[/C][C]0.4406[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;12[/C][C]0.7991[/C][C]0.7694[/C][C]0.5935[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;13[/C][C]0.7022[/C][C]0.6685[/C][C]0.4993[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;14[/C][C]0.6366[/C][C]0.5625[/C][C]0.4145[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]10;15[/C][C]0.6324[/C][C]0.5615[/C][C]0.4153[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;12[/C][C]0.6896[/C][C]0.6638[/C][C]0.5086[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;13[/C][C]0.7218[/C][C]0.656[/C][C]0.4973[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;14[/C][C]0.721[/C][C]0.7035[/C][C]0.5379[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]11;15[/C][C]0.7142[/C][C]0.7061[/C][C]0.5392[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]12;13[/C][C]0.8439[/C][C]0.8285[/C][C]0.6598[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]12;14[/C][C]0.7874[/C][C]0.7633[/C][C]0.591[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]12;15[/C][C]0.7822[/C][C]0.7588[/C][C]0.589[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]13;14[/C][C]0.7902[/C][C]0.7913[/C][C]0.6226[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]13;15[/C][C]0.7797[/C][C]0.7843[/C][C]0.6153[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]14;15[/C][C]0.9976[/C][C]0.9972[/C][C]0.9724[/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=160394&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=160394&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
1;2	0.8833	0.8613	0.697
p-value	(0)	(0)	(0)
1;3	0.8372	0.8087	0.638
p-value	(0)	(0)	(0)
1;4	0.9646	0.9599	0.838
p-value	(0)	(0)	(0)
1;5	0.7587	0.7737	0.5969
p-value	(0)	(0)	(0)
1;6	0.2043	0.2888	0.2199
p-value	(0.014)	(4e-04)	(6e-04)
1;7	0.7865	0.7735	0.6016
p-value	(0)	(0)	(0)
1;8	0.6439	0.609	0.46
p-value	(0)	(0)	(0)
1;9	0.6532	0.6152	0.4589
p-value	(0)	(0)	(0)
1;10	0.6658	0.629	0.4674
p-value	(0)	(0)	(0)
1;11	0.6856	0.6504	0.4858
p-value	(0)	(0)	(0)
1;12	0.6674	0.6549	0.4829
p-value	(0)	(0)	(0)
1;13	0.7494	0.7016	0.5324
p-value	(0)	(0)	(0)
1;14	0.7181	0.6789	0.5085
p-value	(0)	(0)	(0)
1;15	0.7109	0.6766	0.5079
p-value	(0)	(0)	(0)
2;3	0.7743	0.7436	0.5737
p-value	(0)	(0)	(0)
2;4	0.8781	0.8498	0.677
p-value	(0)	(0)	(0)
2;5	0.6149	0.6484	0.4835
p-value	(0)	(0)	(0)
2;6	0.0836	0.1661	0.1231
p-value	(0.3189)	(0.0467)	(0.0549)
2;7	0.7925	0.7692	0.5931
p-value	(0)	(0)	(0)
2;8	0.6563	0.5923	0.4389
p-value	(0)	(0)	(0)
2;9	0.68	0.6231	0.459
p-value	(0)	(0)	(0)
2;10	0.7256	0.709	0.5379
p-value	(0)	(0)	(0)
2;11	0.6905	0.648	0.4872
p-value	(0)	(0)	(0)
2;12	0.7236	0.7061	0.5292
p-value	(0)	(0)	(0)
2;13	0.8548	0.8305	0.6656
p-value	(0)	(0)	(0)
2;14	0.7216	0.6909	0.5184
p-value	(0)	(0)	(0)
2;15	0.7088	0.6815	0.5113
p-value	(0)	(0)	(0)
3;4	0.7841	0.7749	0.6024
p-value	(0)	(0)	(0)
3;5	0.5992	0.6328	0.4731
p-value	(0)	(0)	(0)
3;6	0.0785	0.1851	0.1396
p-value	(0.3496)	(0.0264)	(0.0302)
3;7	0.6832	0.7024	0.5297
p-value	(0)	(0)	(0)
3;8	0.5174	0.4792	0.3496
p-value	(0)	(0)	(0)
3;9	0.5335	0.4934	0.3536
p-value	(0)	(0)	(0)
3;10	0.5577	0.5385	0.392
p-value	(0)	(0)	(0)
3;11	0.5952	0.6055	0.4535
p-value	(0)	(0)	(0)
3;12	0.6036	0.5822	0.4259
p-value	(0)	(0)	(0)
3;13	0.6377	0.5951	0.4376
p-value	(0)	(0)	(0)
3;14	0.6572	0.6278	0.4633
p-value	(0)	(0)	(0)
3;15	0.6487	0.6287	0.4636
p-value	(0)	(0)	(0)
4;5	0.7077	0.7227	0.5505
p-value	(0)	(0)	(0)
4;6	0.16	0.2402	0.1791
p-value	(0.0554)	(0.0037)	(0.0052)
4;7	0.746	0.7151	0.5421
p-value	(0)	(0)	(0)
4;8	0.6097	0.5465	0.4051
p-value	(0)	(0)	(0)
4;9	0.6218	0.5572	0.4065
p-value	(0)	(0)	(0)
4;10	0.6352	0.5955	0.4342
p-value	(0)	(0)	(0)
4;11	0.6388	0.6193	0.4548
p-value	(0)	(0)	(0)
4;12	0.6335	0.6156	0.4493
p-value	(0)	(0)	(0)
4;13	0.716	0.6807	0.5111
p-value	(0)	(0)	(0)
4;14	0.6872	0.6519	0.4819
p-value	(0)	(0)	(0)
4;15	0.6767	0.6454	0.4793
p-value	(0)	(0)	(0)
5;6	0.2023	0.1832	0.143
p-value	(0.015)	(0.0279)	(0.0264)
5;7	0.5798	0.6024	0.445
p-value	(0)	(0)	(0)
5;8	0.5137	0.503	0.3754
p-value	(0)	(0)	(0)
5;9	0.4987	0.4982	0.3664
p-value	(0)	(0)	(0)
5;10	0.496	0.5066	0.3698
p-value	(0)	(0)	(0)
5;11	0.4518	0.4707	0.3351
p-value	(0)	(0)	(0)
5;12	0.4654	0.5571	0.4064
p-value	(0)	(0)	(0)
5;13	0.4717	0.5165	0.369
p-value	(0)	(0)	(0)
5;14	0.503	0.5583	0.4055
p-value	(0)	(0)	(0)
5;15	0.5054	0.5581	0.4049
p-value	(0)	(0)	(0)
6;7	0.0688	0.1522	0.1139
p-value	(0.4127)	(0.0686)	(0.0784)
6;8	0.1485	0.052	0.0375
p-value	(0.0756)	(0.5362)	(0.5669)
6;9	0.1287	0.04	0.0284
p-value	(0.1244)	(0.6342)	(0.6603)
6;10	0.1147	0.0594	0.0429
p-value	(0.1709)	(0.4797)	(0.5065)
6;11	0.1397	0.1518	0.1174
p-value	(0.095)	(0.0693)	(0.0676)
6;12	0.0298	0.0627	0.0473
p-value	(0.723)	(0.4555)	(0.4615)
6;13	0.0629	0.1582	0.1141
p-value	(0.4538)	(0.0583)	(0.0758)
6;14	0.0634	0.1751	0.1344
p-value	(0.45)	(0.0359)	(0.0376)
6;15	0.0741	0.1818	0.1398
p-value	(0.3777)	(0.0292)	(0.0306)
7;8	0.6513	0.5535	0.4143
p-value	(0)	(0)	(0)
7;9	0.6637	0.5703	0.4191
p-value	(0)	(0)	(0)
7;10	0.6889	0.6184	0.4608
p-value	(0)	(0)	(0)
7;11	0.697	0.6571	0.4951
p-value	(0)	(0)	(0)
7;12	0.7949	0.7696	0.6015
p-value	(0)	(0)	(0)
7;13	0.7979	0.7909	0.6269
p-value	(0)	(0)	(0)
7;14	0.8354	0.7954	0.6403
p-value	(0)	(0)	(0)
7;15	0.8397	0.8012	0.6486
p-value	(0)	(0)	(0)
8;9	0.9843	0.976	0.9028
p-value	(0)	(0)	(0)
8;10	0.89	0.8265	0.6786
p-value	(0)	(0)	(0)
8;11	0.6178	0.5471	0.4056
p-value	(0)	(0)	(0)
8;12	0.6781	0.6486	0.4978
p-value	(0)	(0)	(0)
8;13	0.605	0.5331	0.3998
p-value	(0)	(0)	(0)
8;14	0.5911	0.5165	0.3789
p-value	(0)	(0)	(0)
8;15	0.589	0.5093	0.3719
p-value	(0)	(0)	(0)
9;10	0.9224	0.8732	0.7191
p-value	(0)	(0)	(0)
9;11	0.6181	0.5553	0.4064
p-value	(0)	(0)	(0)
9;12	0.7161	0.6794	0.5162
p-value	(0)	(0)	(0)
9;13	0.6325	0.561	0.4131
p-value	(0)	(0)	(0)
9;14	0.605	0.5274	0.38
p-value	(0)	(0)	(0)
9;15	0.6008	0.5192	0.3738
p-value	(0)	(0)	(0)
10;11	0.6376	0.5878	0.4406
p-value	(0)	(0)	(0)
10;12	0.7991	0.7694	0.5935
p-value	(0)	(0)	(0)
10;13	0.7022	0.6685	0.4993
p-value	(0)	(0)	(0)
10;14	0.6366	0.5625	0.4145
p-value	(0)	(0)	(0)
10;15	0.6324	0.5615	0.4153
p-value	(0)	(0)	(0)
11;12	0.6896	0.6638	0.5086
p-value	(0)	(0)	(0)
11;13	0.7218	0.656	0.4973
p-value	(0)	(0)	(0)
11;14	0.721	0.7035	0.5379
p-value	(0)	(0)	(0)
11;15	0.7142	0.7061	0.5392
p-value	(0)	(0)	(0)
12;13	0.8439	0.8285	0.6598
p-value	(0)	(0)	(0)
12;14	0.7874	0.7633	0.591
p-value	(0)	(0)	(0)
12;15	0.7822	0.7588	0.589
p-value	(0)	(0)	(0)
13;14	0.7902	0.7913	0.6226
p-value	(0)	(0)	(0)
13;15	0.7797	0.7843	0.6153
p-value	(0)	(0)	(0)
14;15	0.9976	0.9972	0.9724
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = pearson ;

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