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*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Mon, 12 Dec 2011 15:26:48 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/12/t1323721619sc1bpgp2f7g1omd.htm/, Retrieved Fri, 03 May 2024 08:44:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154207, Retrieved Fri, 03 May 2024 08:44:16 +0000

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No (this computation is public)

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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 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [] [2011-12-12 20:26:48] [fe5ec8748c528a1557751a5a0f6a19ab] [Current]

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Dataseries X:

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1418	210907	56	81	79	30	24188
869	120982	56	55	58	28	18273
1530	176508	54	50	60	38	14130
2172	179321	89	125	108	30	32287
901	123185	40	40	49	22	8654
463	52746	25	37	0	26	9245
3201	385534	92	63	121	25	33251
371	33170	18	44	1	18	1271
1192	101645	63	88	20	11	5279
1583	149061	44	66	43	26	27101
1439	165446	33	57	69	25	16373
1764	237213	84	74	78	38	19716
1495	173326	88	49	86	44	17753
1373	133131	55	52	44	30	9028
2187	258873	60	88	104	40	18653
1491	180083	66	36	63	34	8828
4041	324799	154	108	158	47	29498
1706	230964	53	43	102	30	27563
2152	236785	119	75	77	31	18293
1036	135473	41	32	82	23	22530
1882	202925	61	44	115	36	15977
1929	215147	58	85	101	36	35082
2242	344297	75	86	80	30	16116
1220	153935	33	56	50	25	15849
1289	132943	40	50	83	39	16026
2515	174724	92	135	123	34	26569
2147	174415	100	63	73	31	24785
2352	225548	112	81	81	31	17569
1638	223632	73	52	105	33	23825
1222	124817	40	44	47	25	7869
1812	221698	45	113	105	33	14975
1677	210767	60	39	94	35	37791
1579	170266	62	73	44	42	9605
1731	260561	75	48	114	43	27295
807	84853	31	33	38	30	2746
2452	294424	77	59	107	33	34461
829	101011	34	41	30	13	8098
1940	215641	46	69	71	32	4787
2662	325107	99	64	84	36	24919
186	7176	17	1	0	0	603
1499	167542	66	59	59	28	16329
865	106408	30	32	33	14	12558
1793	96560	76	129	42	17	7784
2527	265769	146	37	96	32	28522
2747	269651	67	31	106	30	22265
1324	149112	56	65	56	35	14459
2702	175824	107	107	57	20	14526
1383	152871	58	74	59	28	22240
1179	111665	34	54	39	28	11802
2099	116408	61	76	34	39	7623
4308	362301	119	715	76	34	11912
918	78800	42	57	20	26	7935
1831	183167	66	66	91	39	18220
3373	277965	89	106	115	39	19199
1713	150629	44	54	85	33	19918
1438	168809	66	32	76	28	21884
496	24188	24	20	8	4	2694
2253	329267	259	71	79	39	15808
744	65029	17	21	21	18	3597
1161	101097	64	70	30	14	5296
2352	218946	41	112	76	29	25239
2144	244052	68	66	101	44	29801
4691	341570	168	190	94	21	18450
1112	103597	43	66	27	16	7132
2694	233328	132	165	92	28	34861
1973	256462	105	56	123	35	35940
1769	206161	71	61	75	28	16688
3148	311473	112	53	128	38	24683
2474	235800	94	127	105	23	46230
2084	177939	82	63	55	36	10387
1954	207176	70	38	56	32	21436
1226	196553	57	50	41	29	30546
1389	174184	53	52	72	25	19746
1496	143246	103	42	67	27	15977
2269	187559	121	76	75	36	22583
1833	187681	62	67	114	28	17274
1268	119016	52	50	118	23	16469
1943	182192	52	53	77	40	14251
893	73566	32	39	22	23	3007
1762	194979	62	50	66	40	16851
1403	167488	45	77	69	28	21113
1425	143756	46	57	105	34	17401
1857	275541	63	73	116	33	23958
1840	243199	75	34	88	28	23567
1502	182999	88	39	73	34	13065
1441	135649	46	46	99	30	15358
1420	152299	53	63	62	33	14587
1416	120221	37	35	53	22	12770
2970	346485	90	106	118	38	24021
1317	145790	63	43	30	26	9648
1644	193339	78	47	100	35	20537
870	80953	25	31	49	8	7905
1654	122774	45	162	24	24	4527
1054	130585	46	57	67	29	30495
937	112611	41	36	46	20	7117
3004	286468	144	263	57	29	17719
2008	241066	82	78	75	45	27056
2547	148446	91	63	135	37	33473
1885	204713	71	54	68	33	9758
1626	182079	63	63	124	33	21115
1468	140344	53	77	33	25	7236
2445	220516	62	79	98	32	13790
1964	243060	63	110	58	29	32902
1381	162765	32	56	68	28	25131
1369	182613	39	56	81	28	30910
1659	232138	62	43	131	31	35947
2888	265318	117	111	110	52	29848
1290	85574	34	71	37	21	6943
2845	310839	92	62	130	24	42705
1982	225060	93	56	93	41	31808
1904	232317	54	74	118	33	26675
1391	144966	144	60	39	32	8435
602	43287	14	43	13	19	7409
1743	155754	61	68	74	20	14993
1559	164709	109	53	81	31	36867
2014	201940	38	87	109	31	33835
2143	235454	73	46	151	32	24164
2146	220801	75	105	51	18	12607
874	99466	50	32	28	23	22609
1590	92661	61	133	40	17	5892
1590	133328	55	79	56	20	17014
1210	61361	77	51	27	12	5394
2072	125930	75	207	37	17	9178
1281	100750	72	67	83	30	6440
1401	224549	50	47	54	31	21916
834	82316	32	34	27	10	4011
1105	102010	53	66	28	13	5818
1272	101523	42	76	59	22	18647
1944	243511	71	65	133	42	20556
391	22938	10	9	12	1	238
761	41566	35	42	0	9	70
1605	152474	65	45	106	32	22392
530	61857	25	25	23	11	3913
1988	99923	66	115	44	25	12237
1386	132487	41	97	71	36	8388
2395	317394	86	53	116	31	22120
387	21054	16	2	4	0	338
1742	209641	42	52	62	24	11727
620	22648	19	44	12	13	3704
449	31414	19	22	18	8	3988
800	46698	45	35	14	13	3030
1684	131698	65	74	60	19	13520
1050	91735	35	103	7	18	1421
2699	244749	95	144	98	33	20923
1606	184510	49	60	64	40	20237
1502	79863	37	134	29	22	3219
1204	128423	64	89	32	38	3769
1138	97839	38	42	25	24	12252
568	38214	34	52	16	8	1888
1459	151101	32	98	48	35	14497
2158	272458	65	99	100	43	28864
1111	172494	52	52	46	43	21721
1421	108043	62	29	45	14	4821
2833	328107	65	125	129	41	33644
1955	250579	83	106	130	38	15923
2922	351067	95	95	136	45	42935
1002	158015	29	40	59	31	18864
1060	98866	18	140	25	13	4977
956	85439	33	43	32	28	7785
2186	229242	247	128	63	31	17939
3604	351619	139	142	95	40	23436
1035	84207	29	73	14	30	325
1417	120445	118	72	36	16	13539
3261	324598	110	128	113	37	34538
1587	131069	67	61	47	30	12198
1424	204271	42	73	92	35	26924
1701	165543	65	148	70	32	12716
1249	141722	94	64	19	27	8172
946	116048	64	45	50	20	10855
1926	250047	81	58	41	18	11932
3352	299775	95	97	91	31	14300
1641	195838	67	50	111	31	25515
2035	173260	63	37	41	21	2805
2312	254488	83	50	120	39	29402
1369	104389	45	105	135	41	16440
1577	136084	30	69	27	13	11221
2201	199476	70	46	87	32	28732
961	92499	32	57	25	18	5250
1900	224330	83	52	131	39	28608
1254	135781	31	98	45	14	8092
1335	74408	67	61	29	7	4473
1597	81240	66	89	58	17	1572
207	14688	10	0	4	0	2065
1645	181633	70	48	47	30	14817
2429	271856	103	91	109	37	16714
151	7199	5	0	7	0	556
474	46660	20	7	12	5	2089
141	17547	5	3	0	1	2658
1639	133368	36	54	37	16	10695
872	95227	34	70	37	32	1669
1318	152601	48	36	46	24	16267
1018	98146	40	37	15	17	7768
1383	79619	43	123	42	11	7252
1314	59194	31	247	7	24	6387
1335	139942	42	46	54	22	18715
1403	118612	46	72	54	12	7936
910	72880	33	41	14	19	8643
616	65475	18	24	16	13	7294
1407	99643	55	45	33	17	4570
771	71965	35	33	32	15	7185
766	77272	59	27	21	16	10058
473	49289	19	36	15	24	2342
1376	135131	66	87	38	15	8509
1232	108446	60	90	22	17	13275
1521	89746	36	114	28	18	6816
572	44296	25	31	10	20	1930
1059	77648	47	45	31	16	8086
1544	181528	54	69	32	16	10737
1230	134019	53	51	32	18	8033
1206	124064	40	34	43	22	7058
1205	92630	40	60	27	8	6782
1255	121848	39	45	37	17	5401
613	52915	14	54	20	18	6521
721	81872	45	25	32	16	10856
1109	58981	36	38	0	23	2154
740	53515	28	52	5	22	6117
1126	60812	44	67	26	13	5238
728	56375	30	74	10	13	4820
689	65490	22	38	27	16	5615
592	80949	17	30	11	16	4272
995	76302	31	26	29	20	8702
1613	104011	55	67	25	22	15340
2048	98104	54	132	55	17	8030
705	67989	21	42	23	18	9526
301	30989	14	35	5	17	1278
1803	135458	81	118	43	12	4236
799	73504	35	68	23	7	3023
861	63123	43	43	34	17	7196
1186	61254	46	76	36	14	3394
1451	74914	30	64	35	23	6371
628	31774	23	48	0	17	1574
1161	81437	38	64	37	14	9620
1463	87186	54	56	28	15	6978
742	50090	20	71	16	17	4911
979	65745	53	75	26	21	8645
675	56653	45	39	38	18	8987
1241	158399	39	42	23	18	5544
676	46455	20	39	22	17	3083
1049	73624	24	93	30	17	6909
620	38395	31	38	16	16	3189
1081	91899	35	60	18	15	6745
1688	139526	151	71	28	21	16724
736	52164	52	52	32	16	4850
617	51567	30	27	21	14	7025
812	70551	31	59	23	15	6047
1051	84856	29	40	29	17	7377
1656	102538	57	79	50	15	9078
705	86678	40	44	12	15	4605
945	85709	44	65	21	10	3238
554	34662	25	10	18	6	8100
1597	150580	77	124	27	22	9653
982	99611	35	81	41	21	8914
222	19349	11	15	13	1	786
1212	99373	63	92	12	18	6700
1143	86230	44	42	21	17	5788
435	30837	19	10	8	4	593
532	31706	13	24	26	10	4506
882	89806	42	64	27	16	6382
608	62088	38	45	13	16	5621
459	40151	29	22	16	9	3997
578	27634	20	56	2	16	520
826	76990	27	94	42	17	8891
509	37460	20	19	5	7	999
717	54157	19	35	37	15	7067
637	49862	37	32	17	14	4639
857	84337	26	35	38	14	5654
830	64175	42	48	37	18	6928
652	59382	49	49	29	12	1514
707	119308	30	48	32	16	9238
954	76702	49	62	35	21	8204
1461	103425	67	96	17	19	5926
672	70344	28	45	20	16	5785
778	43410	19	63	7	1	4
1141	104838	49	71	46	16	5930
680	62215	27	26	24	10	3710
1090	69304	30	48	40	19	705
616	53117	22	29	3	12	443
285	19764	12	19	10	2	2416
1145	86680	31	45	37	14	7747
733	84105	20	45	17	17	5432
888	77945	20	67	28	19	4913
849	89113	39	30	19	14	2650
1182	91005	29	36	29	11	2370
528	40248	16	34	8	4	775
642	64187	27	36	10	16	5576
947	50857	21	34	15	20	1352
819	56613	19	37	15	12	3080
757	62792	35	46	28	15	10205
894	72535	14	44	17	16	6095

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154207&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154207&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154207&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	3 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Correlations for all pairs of data series (method=kendall)
	P	T	L	CV	BC	CR	TR
P	1	0.739	0.661	0.463	0.627	0.527	0.543
T	0.739	1	0.609	0.344	0.683	0.59	0.639
L	0.661	0.609	1	0.379	0.523	0.453	0.482
CV	0.463	0.344	0.379	1	0.289	0.282	0.248
BC	0.627	0.683	0.523	0.289	1	0.574	0.656
CR	0.527	0.59	0.453	0.282	0.574	1	0.548
TR	0.543	0.639	0.482	0.248	0.656	0.548	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & P & T & L & CV & BC & CR & TR \tabularnewline
P & 1 & 0.739 & 0.661 & 0.463 & 0.627 & 0.527 & 0.543 \tabularnewline
T & 0.739 & 1 & 0.609 & 0.344 & 0.683 & 0.59 & 0.639 \tabularnewline
L & 0.661 & 0.609 & 1 & 0.379 & 0.523 & 0.453 & 0.482 \tabularnewline
CV & 0.463 & 0.344 & 0.379 & 1 & 0.289 & 0.282 & 0.248 \tabularnewline
BC & 0.627 & 0.683 & 0.523 & 0.289 & 1 & 0.574 & 0.656 \tabularnewline
CR & 0.527 & 0.59 & 0.453 & 0.282 & 0.574 & 1 & 0.548 \tabularnewline
TR & 0.543 & 0.639 & 0.482 & 0.248 & 0.656 & 0.548 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154207&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]P[/C][C]T[/C][C]L[/C][C]CV[/C][C]BC[/C][C]CR[/C][C]TR[/C][/ROW]
[ROW][C]P[/C][C]1[/C][C]0.739[/C][C]0.661[/C][C]0.463[/C][C]0.627[/C][C]0.527[/C][C]0.543[/C][/ROW]
[ROW][C]T[/C][C]0.739[/C][C]1[/C][C]0.609[/C][C]0.344[/C][C]0.683[/C][C]0.59[/C][C]0.639[/C][/ROW]
[ROW][C]L[/C][C]0.661[/C][C]0.609[/C][C]1[/C][C]0.379[/C][C]0.523[/C][C]0.453[/C][C]0.482[/C][/ROW]
[ROW][C]CV[/C][C]0.463[/C][C]0.344[/C][C]0.379[/C][C]1[/C][C]0.289[/C][C]0.282[/C][C]0.248[/C][/ROW]
[ROW][C]BC[/C][C]0.627[/C][C]0.683[/C][C]0.523[/C][C]0.289[/C][C]1[/C][C]0.574[/C][C]0.656[/C][/ROW]
[ROW][C]CR[/C][C]0.527[/C][C]0.59[/C][C]0.453[/C][C]0.282[/C][C]0.574[/C][C]1[/C][C]0.548[/C][/ROW]
[ROW][C]TR[/C][C]0.543[/C][C]0.639[/C][C]0.482[/C][C]0.248[/C][C]0.656[/C][C]0.548[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154207&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154207&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)
	P	T	L	CV	BC	CR	TR
P	1	0.739	0.661	0.463	0.627	0.527	0.543
T	0.739	1	0.609	0.344	0.683	0.59	0.639
L	0.661	0.609	1	0.379	0.523	0.453	0.482
CV	0.463	0.344	0.379	1	0.289	0.282	0.248
BC	0.627	0.683	0.523	0.289	1	0.574	0.656
CR	0.527	0.59	0.453	0.282	0.574	1	0.548
TR	0.543	0.639	0.482	0.248	0.656	0.548	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
P;T	0.8928	0.9025	0.7387
p-value	(0)	(0)	(0)
P;L	0.7588	0.845	0.6609
p-value	(0)	(0)	(0)
P;CV	0.5633	0.6332	0.4628
p-value	(0)	(0)	(0)
P;BC	0.7606	0.8249	0.6272
p-value	(0)	(0)	(0)
P;CR	0.6652	0.7185	0.5273
p-value	(0)	(0)	(0)
P;TR	0.6678	0.7428	0.5434
p-value	(0)	(0)	(0)
T;L	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
T;CV	0.3903	0.489	0.3435
p-value	(0)	(0)	(0)
T;BC	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
T;CR	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
T;TR	0.7827	0.841	0.639
p-value	(0)	(0)	(0)
L;CV	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
L;BC	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
L;CR	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
L;TR	0.5339	0.6727	0.4818
p-value	(0)	(0)	(0)
CV;BC	0.2289	0.4173	0.2892
p-value	(1e-04)	(0)	(0)
CV;CR	0.2633	0.3939	0.2823
p-value	(0)	(0)	(0)
CV;TR	0.1763	0.3606	0.248
p-value	(0.0026)	(0)	(0)
BC;CR	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
BC;TR	0.8257	0.8465	0.6558
p-value	(0)	(0)	(0)
CR;TR	0.6978	0.7429	0.5478
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
P;T & 0.8928 & 0.9025 & 0.7387 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;L & 0.7588 & 0.845 & 0.6609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;CV & 0.5633 & 0.6332 & 0.4628 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;BC & 0.7606 & 0.8249 & 0.6272 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;CR & 0.6652 & 0.7185 & 0.5273 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;TR & 0.6678 & 0.7428 & 0.5434 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T;L & 0.716 & 0.7982 & 0.609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T;CV & 0.3903 & 0.489 & 0.3435 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T;BC & 0.8309 & 0.8717 & 0.683 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T;CR & 0.758 & 0.7892 & 0.5899 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T;TR & 0.7827 & 0.841 & 0.639 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;CV & 0.3882 & 0.5226 & 0.3788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;BC & 0.5661 & 0.7178 & 0.523 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;CR & 0.5488 & 0.6284 & 0.4525 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;TR & 0.5339 & 0.6727 & 0.4818 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CV;BC & 0.2289 & 0.4173 & 0.2892 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
CV;CR & 0.2633 & 0.3939 & 0.2823 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CV;TR & 0.1763 & 0.3606 & 0.248 \tabularnewline
p-value & (0.0026) & (0) & (0) \tabularnewline
BC;CR & 0.7623 & 0.7722 & 0.574 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BC;TR & 0.8257 & 0.8465 & 0.6558 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CR;TR & 0.6978 & 0.7429 & 0.5478 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154207&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]P;T[/C][C]0.8928[/C][C]0.9025[/C][C]0.7387[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;L[/C][C]0.7588[/C][C]0.845[/C][C]0.6609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;CV[/C][C]0.5633[/C][C]0.6332[/C][C]0.4628[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;BC[/C][C]0.7606[/C][C]0.8249[/C][C]0.6272[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;CR[/C][C]0.6652[/C][C]0.7185[/C][C]0.5273[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;TR[/C][C]0.6678[/C][C]0.7428[/C][C]0.5434[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T;L[/C][C]0.716[/C][C]0.7982[/C][C]0.609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T;CV[/C][C]0.3903[/C][C]0.489[/C][C]0.3435[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T;BC[/C][C]0.8309[/C][C]0.8717[/C][C]0.683[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T;CR[/C][C]0.758[/C][C]0.7892[/C][C]0.5899[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T;TR[/C][C]0.7827[/C][C]0.841[/C][C]0.639[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;CV[/C][C]0.3882[/C][C]0.5226[/C][C]0.3788[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;BC[/C][C]0.5661[/C][C]0.7178[/C][C]0.523[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;CR[/C][C]0.5488[/C][C]0.6284[/C][C]0.4525[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;TR[/C][C]0.5339[/C][C]0.6727[/C][C]0.4818[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CV;BC[/C][C]0.2289[/C][C]0.4173[/C][C]0.2892[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CV;CR[/C][C]0.2633[/C][C]0.3939[/C][C]0.2823[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CV;TR[/C][C]0.1763[/C][C]0.3606[/C][C]0.248[/C][/ROW]
[ROW][C]p-value[/C][C](0.0026)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BC;CR[/C][C]0.7623[/C][C]0.7722[/C][C]0.574[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BC;TR[/C][C]0.8257[/C][C]0.8465[/C][C]0.6558[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CR;TR[/C][C]0.6978[/C][C]0.7429[/C][C]0.5478[/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=154207&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154207&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
P;T	0.8928	0.9025	0.7387
p-value	(0)	(0)	(0)
P;L	0.7588	0.845	0.6609
p-value	(0)	(0)	(0)
P;CV	0.5633	0.6332	0.4628
p-value	(0)	(0)	(0)
P;BC	0.7606	0.8249	0.6272
p-value	(0)	(0)	(0)
P;CR	0.6652	0.7185	0.5273
p-value	(0)	(0)	(0)
P;TR	0.6678	0.7428	0.5434
p-value	(0)	(0)	(0)
T;L	0.716	0.7982	0.609
p-value	(0)	(0)	(0)
T;CV	0.3903	0.489	0.3435
p-value	(0)	(0)	(0)
T;BC	0.8309	0.8717	0.683
p-value	(0)	(0)	(0)
T;CR	0.758	0.7892	0.5899
p-value	(0)	(0)	(0)
T;TR	0.7827	0.841	0.639
p-value	(0)	(0)	(0)
L;CV	0.3882	0.5226	0.3788
p-value	(0)	(0)	(0)
L;BC	0.5661	0.7178	0.523
p-value	(0)	(0)	(0)
L;CR	0.5488	0.6284	0.4525
p-value	(0)	(0)	(0)
L;TR	0.5339	0.6727	0.4818
p-value	(0)	(0)	(0)
CV;BC	0.2289	0.4173	0.2892
p-value	(1e-04)	(0)	(0)
CV;CR	0.2633	0.3939	0.2823
p-value	(0)	(0)	(0)
CV;TR	0.1763	0.3606	0.248
p-value	(0.0026)	(0)	(0)
BC;CR	0.7623	0.7722	0.574
p-value	(0)	(0)	(0)
BC;TR	0.8257	0.8465	0.6558
p-value	(0)	(0)	(0)
CR;TR	0.6978	0.7429	0.5478
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

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

panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code