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Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 22 Dec 2010 10:08:49 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/22/t12930127863ldt8ucr6dbwfe8.htm/, Retrieved Sun, 05 May 2024 22:22:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114152, Retrieved Sun, 05 May 2024 22:22:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153
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]
-   PD    [Kendall tau Correlation Matrix] [] [2010-12-22 10:08:49] [f3ebcd8ed76b32fdadb8ee7c5dc81ded] [Current]
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Dataseries X:
162556	162556	1081	1081	213118	213118	230380558	6282929
29790	29790	309	309	81767	81767	25266003	4324047
87550	87550	458	458	153198	153198	70164684	4108272
84738	0	588	0	-26007	0	-15292116	-1212617
54660	54660	299	299	126942	126942	37955658	1485329
42634	42634	156	156	157214	157214	24525384	1779876
40949	0	481	0	129352	0	62218312	1367203
42312	42312	323	323	234817	234817	75845891	2519076
37704	37704	452	452	60448	60448	27322496	912684
16275	16275	109	109	47818	47818	5212162	1443586
25830	0	115	0	245546	0	28237790	1220017
12679	0	110	0	48020	0	5282200	984885
18014	18014	239	239	-1710	-1710	-408690	1457425
43556	0	247	0	32648	0	8064056	-572920
24524	24524	497	497	95350	95350	47388950	929144
6532	0	103	0	151352	0	15589256	1151176
7123	0	109	0	288170	0	31410530	790090
20813	20813	502	502	114337	114337	57397174	774497
37597	37597	248	248	37884	37884	9395232	990576
17821	0	373	0	122844	0	45820812	454195
12988	12988	119	119	82340	82340	9798460	876607
22330	22330	84	84	79801	79801	6703284	711969
13326	0	102	0	165548	0	16885896	702380
16189	0	295	0	116384	0	34333280	264449
7146	0	105	0	134028	0	14072940	450033
15824	0	64	0	63838	0	4085632	541063
26088	26088	267	267	74996	74996	20023932	588864
11326	0	129	0	31080	0	4009320	-37216
8568	0	37	0	32168	0	1190216	783310
14416	0	361	0	49857	0	17998377	467359
3369	3369	28	28	87161	87161	2440508	688779
11819	11819	85	85	106113	106113	9019605	608419
6620	6620	44	44	80570	80570	3545080	696348
4519	4519	49	49	102129	102129	5004321	597793
2220	0	22	0	301670	0	6636740	821730
18562	0	155	0	102313	0	15858515	377934
10327	0	91	0	88577	0	8060507	651939
5336	5336	81	81	112477	112477	9110637	697458
2365	2365	79	79	191778	191778	15150462	700368
4069	0	145	0	79804	0	11571580	225986
7710	0	816	0	128294	0	104687904	348695
13718	0	61	0	96448	0	5883328	373683
4525	0	226	0	93811	0	21201286	501709
6869	0	105	0	117520	0	12339600	413743
4628	0	62	0	69159	0	4287858	379825
3653	3653	24	24	101792	101792	2443008	336260
1265	1265	26	26	210568	210568	5474768	636765
7489	7489	322	322	136996	136996	44112712	481231
4901	0	84	0	121920	0	10241280	469107
2284	0	33	0	76403	0	2521299	211928
3160	3160	108	108	108094	108094	11674152	563925
4150	4150	150	150	134759	134759	20213850	511939
7285	7285	115	115	188873	188873	21720395	521016
1134	1134	162	162	146216	146216	23686992	543856
4658	4658	158	158	156608	156608	24744064	329304
2384	0	97	0	61348	0	5950756	423262
3748	0	9	0	50350	0	453150	509665
5371	0	66	0	87720	0	5789520	455881
1285	0	107	0	99489	0	10645323	367772
9327	9327	101	101	87419	87419	8829319	406339
5565	5565	47	47	94355	94355	4434685	493408
1528	0	38	0	60326	0	2292388	232942
3122	3122	34	34	94670	94670	3218780	416002
7317	7317	84	84	82425	82425	6923700	337430
2675	0	79	0	59017	0	4662343	361517
13253	0	947	0	90829	0	86015063	360962
880	0	74	0	80791	0	5978534	235561
2053	2053	53	53	100423	100423	5322419	408247
1424	0	94	0	131116	0	12324904	450296
4036	4036	63	63	100269	100269	6316947	418799
3045	3045	58	58	27330	27330	1585140	247405
5119	0	49	0	39039	0	1912911	378519
1431	0	34	0	106885	0	3634090	326638
554	0	11	0	79285	0	872135	328233
1975	0	35	0	118881	0	4160835	386225
1286	1286	17	17	77623	77623	1319591	283662
1012	0	47	0	114768	0	5394096	370225
810	0	43	0	74015	0	3182645	269236
1280	0	117	0	69465	0	8127405	365732
666	666	171	171	117869	117869	20155599	420383
1380	0	26	0	60982	0	1585532	345811
4608	4608	73	73	90131	90131	6579563	431809
876	0	59	0	138971	0	8199289	418876
814	0	18	0	39625	0	713250	297476
514	0	15	0	102725	0	1540875	416776
5692	5692	72	72	64239	64239	4625208	357257
3642	0	86	0	90262	0	7762532	458343
540	0	14	0	103960	0	1455440	388386
2099	0	64	0	106611	0	6823104	358934
567	0	11	0	103345	0	1136795	407560
2001	0	52	0	95551	0	4968652	392558
2949	2949	41	41	82903	82903	3399023	373177
2253	0	99	0	63593	0	6295707	428370
6533	6533	75	75	126910	126910	9518250	369419
1889	0	45	0	37527	0	1688715	358649
3055	3055	43	43	60247	60247	2590621	376641
272	0	8	0	112995	0	903960	467427
1414	1414	198	198	70184	70184	13896432	364885
2564	0	22	0	130140	0	2863080	436230
1383	1383	11	11	73221	73221	805431	329118
1261	1261	33	33	76114	76114	2511762	317365
975	0	23	0	90534	0	2082282	286849
3366	0	80	0	108479	0	8678320	376685
576	0	18	0	113761	0	2047698	407198
1306	0	28	0	68696	0	1923488	377772
746	0	23	0	71561	0	1645903	271483
3192	3192	60	60	59831	59831	3589860	153661
2045	2045	20	20	97890	97890	1957800	513294
5477	0	59	0	101481	0	5987379	324881
1932	1932	36	36	72954	72954	2626344	264512
936	0	30	0	67939	0	2038170	420968
3437	3437	47	47	48022	48022	2257034	129302
5131	0	71	0	86111	0	6113881	191521
2397	2397	14	14	74020	74020	1036280	268673
1389	1389	9	9	57530	57530	517770	353179
1503	0	39	0	56364	0	2198196	354624
402	0	26	0	84990	0	2209740	363713
2239	0	21	0	88590	0	1860390	456657
2234	2234	16	16	77200	77200	1235200	211742
837	0	69	0	61262	0	4227078	338381
10579	0	92	0	110309	0	10148428	418530
875	0	14	0	67000	0	938000	351483
1395	0	103	0	93099	0	9589197	372928
1659	1659	29	29	107577	107577	3119733	485538
2647	2647	37	37	62920	62920	2328040	279268
3294	3294	23	23	75832	75832	1744136	219060
0	0	0	0	60720	0	0	325560
94	0	7	0	60793	0	425551	325314
422	0	28	0	57935	0	1622180	322046
0	0	0	0	60720	0	0	325560
34	0	8	0	60630	0	485040	325599
1558	0	63	0	55637	0	3505131	377028
0	0	0	0	60720	0	0	325560
43	0	3	0	60887	0	182661	323850
0	0	0	0	60720	0	0	325560
316	0	9	0	60505	0	544545	331514
115	0	13	0	60945	0	792285	325632
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
389	0	14	0	58990	0	825860	322265
0	0	0	0	60720	0	0	325560
1002	0	15	0	56750	0	851250	325906
36	0	3	0	60894	0	182682	325985
460	0	15	0	63346	0	950190	346145
309	0	11	0	56535	0	621885	325898
0	0	0	0	60720	0	0	325560
9	0	6	0	60835	0	365010	325356
0	0	0	0	60720	0	0	325560
14	0	1	0	61016	0	61016	325930
520	0	10	0	58650	0	586500	318020
1766	0	73	0	60438	0	4411974	326389
0	0	0	0	60720	0	0	325560
458	0	11	0	58625	0	644875	302925
20	0	3	0	60938	0	182814	325540
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
98	0	2	0	61490	0	122980	326736
405	0	7	0	60845	0	425915	340580
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
483	0	27	0	60830	0	1642410	331828
454	0	51	0	63261	0	3226311	323299
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
757	0	19	0	45689	0	868091	387722
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
36	0	4	0	61564	0	246256	324598
0	0	0	0	60720	0	0	325560
203	0	9	0	61938	0	557442	328726
0	0	0	0	60720	0	0	325560
90	0	8	0	60951	0	487608	325043
0	0	0	0	60720	0	0	325560
71	71	1	1	60745	60745	60745	325806
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
972	0	34	0	71642	0	2435828	387732
531	531	10	10	71641	71641	716410	349729
604	0	38	0	55792	0	2120096	332202
283	283	10	10	71873	71873	718730	305442
23	23	5	5	62555	62555	312775	329537
638	638	14	14	60370	60370	845180	327055
699	699	16	16	64873	64873	1037968	356245
149	0	5	0	62041	0	310205	328451
226	0	5	0	65745	0	328725	307062
0	0	0	0	60720	0	0	325560
275	0	4	0	59500	0	238000	331345
0	0	0	0	60720	0	0	325560
141	0	6	0	61630	0	369780	331824
0	0	0	0	60720	0	0	325560
28	0	2	0	60890	0	121780	325685
0	0	0	0	60720	60720	0	325560
2566	2566	80	80	113521	113521	9081680	404480
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
472	472	20	20	80045	80045	1600900	318314
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
203	203	27	27	50804	50804	1371708	311807
496	496	17	17	87390	87390	1485630	337724
10	10	2	2	61656	61656	123312	326431
63	63	4	4	65688	65688	262752	327556
0	0	0	0	60720	60720	0	325560
1136	1136	32	32	48522	48522	1552704	356850
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
267	0	32	0	57640	0	1844480	322741
474	0	20	0	61977	0	1239540	310902
534	0	7	0	62620	0	438340	324295
0	0	0	0	60720	0	0	325560
15	0	8	0	60831	0	486648	326156
397	0	28	0	60646	0	1698088	326960
0	0	0	0	60720	0	0	325560
1061	0	20	0	56225	0	1124500	333411
288	0	4	0	60510	0	242040	297761
0	0	0	0	60720	0	0	325560
3	0	2	0	60698	0	121396	325536
0	0	0	0	60720	0	0	325560
20	0	2	0	60805	0	121610	325762
278	0	26	0	61404	0	1596504	327957
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
192	0	4	0	65276	0	261104	318521
0	0	0	0	60720	0	0	325560
317	0	9	0	63915	0	575235	319775
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
368	0	17	0	61686	0	1048662	332128
0	0	0	0	60720	0	0	325560
2	0	1	0	60743	0	60743	325486
0	0	0	0	60720	0	0	325560
53	0	6	0	60349	0	362094	325838
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
94	0	3	0	61360	0	184080	331767
0	0	0	0	60720	0	0	325560
24	0	8	0	59818	0	478544	324523
2332	0	4	0	72680	0	290720	339995
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
131	0	11	0	61808	0	679888	319582
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
206	0	9	0	53110	0	477990	307245
0	0	0	0	60720	60720	0	325560
167	0	2	0	64245	0	128490	317967
622	0	73	0	73007	0	5329511	331488
885	0	85	0	82732	0	7032220	335452
0	0	0	0	60720	0	0	325560
365	0	8	0	54820	0	438560	334184
364	0	35	0	47705	0	1669675	313213
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
226	0	12	0	72835	0	874020	348678
307	0	15	0	58856	0	882840	328727
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	60720	0	325560
188	0	11	0	77655	0	854205	387978
0	0	0	0	60720	60720	0	325560
138	0	6	0	69817	0	418902	336704
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
125	0	12	0	60798	0	729576	322076
0	0	0	0	60720	0	0	325560
282	0	30	0	62452	0	1873560	334272
335	0	33	0	64175	0	2117775	338197
0	0	0	0	60720	0	0	325560
813	813	82	82	67440	67440	5530080	321024
176	0	28	0	68136	0	1907808	322145
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	0	0	325560
249	0	72	0	56726	0	4084272	323351
0	0	0	0	60720	0	0	325560
333	0	13	0	70811	0	920543	327748
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	60720	0	325560
30	0	4	0	62045	0	248180	328157
0	0	0	0	60720	60720	0	325560
249	0	62	0	54323	0	3368026	311594
0	0	0	0	60720	60720	0	325560
165	0	24	0	62841	0	1508184	335962
453	0	21	0	81125	0	1703625	372426
0	0	0	0	60720	0	0	325560
53	0	14	0	59506	0	833084	319844
382	382	21	21	59365	59365	1246665	355822
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
30	30	4	4	60798	60798	243192	324047
290	0	2	0	58790	0	117580	311464
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	60720	0	325560
366	0	53	0	61808	0	3275824	353417
2	0	9	0	60735	0	546615	325590
0	0	0	0	60720	60720	0	325560
209	209	13	13	64016	64016	832208	328576
384	0	22	0	54683	0	1203026	326126
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
365	0	83	0	87192	0	7236936	369376
0	0	0	0	60720	60720	0	325560
49	49	8	8	64107	64107	512856	332013
3	0	4	0	60761	0	243044	325871
133	0	14	0	65990	0	923860	342165
32	0	1	0	59988	0	59988	324967
368	0	17	0	61167	0	1039839	314832
1	0	6	0	60719	0	364314	325557
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	0	0	325560
22	0	2	0	60722	0	121444	322649
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	60720	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
96	0	5	0	60379	0	301895	324598
1	0	2	0	60727	0	121454	325567
0	0	0	0	60720	0	0	325560
81	0	7	0	60925	0	426475	324005
0	0	0	0	60720	0	0	325560
26	0	1	0	60896	0	60896	325748
125	0	13	0	59734	0	776542	323385
304	0	15	0	62969	0	944535	315409
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
119	0	6	0	59118	0	354708	312275
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
312	0	14	0	58598	0	820372	320576
60	0	10	0	61124	0	611240	325246
587	0	12	0	59595	0	715140	332961
135	0	2	0	62065	0	124130	323010
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
514	0	52	0	78780	0	4096560	345253
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
1	0	4	0	60722	0	242888	325559
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
58	58	3	3	61600	61600	184800	319634
180	0	11	0	59635	0	655985	319951
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
448	0	40	0	59781	0	2391240	318519
227	0	9	0	76644	0	689796	343222
174	0	1	0	64820	0	64820	317234
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
121	0	24	0	56178	0	1348272	314025
607	0	11	0	60436	0	664796	320249
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
0	0	0	0	60720	0	0	325560
530	0	60	0	73433	0	4405980	349365
571	0	80	0	41477	0	3318160	289197
0	0	0	0	60720	0	0	325560
78	0	16	0	62700	0	1003200	329245
2489	0	40	0	67804	0	2712160	240869
131	0	6	0	59661	0	357966	327182
923	0	8	0	58620	0	468960	322876
72	0	3	0	60398	0	181194	323117
572	0	16	0	58580	0	937280	306351
397	0	10	0	62710	0	627100	335137
450	0	8	0	59325	0	474600	308271
622	0	7	0	60950	0	426650	301731
694	0	8	0	68060	0	544480	382409
3425	3425	12	12	83620	83620	1003440	279230
562	0	13	0	58456	0	759928	298731
4917	0	42	0	52811	0	2218062	243650
1442	1442	118	118	121173	121173	14298414	532682
529	0	9	0	63870	0	574830	319771
2126	2126	138	138	21001	21001	2898138	171493
1061	0	5	0	70415	0	352075	347262
776	0	9	0	64230	0	578070	343945
611	0	8	0	59190	0	473520	311874
1526	1526	25	25	69351	69351	1733775	302211
592	0	7	0	64270	0	449890	316708
1182	0	13	0	70694	0	919022	333463
621	0	16	0	68005	0	1088080	344282
989	0	11	0	58930	0	648230	319635
438	0	11	0	58320	0	641520	301186
726	0	3	0	69980	0	209940	300381
1303	0	61	0	69863	0	4261643	318765
6341	6341	24	24	63255	63255	1518120	286146
1164	1164	17	17	57320	57320	974440	306844
3310	3310	33	33	75230	75230	2482590	307705
1366	0	7	0	79420	0	555940	312448
965	0	3	0	73490	0	220470	299715
3256	0	66	0	35250	0	2326500	373399
1135	1135	17	17	62285	62285	1058845	299446
1270	0	26	0	69206	0	1799356	325586
661	0	3	0	65920	0	197760	291221
1013	0	2	0	69770	0	139540	261173
2844	0	67	0	72683	0	4869761	255027
11528	11528	70	70	-14545	-14545	-1018150	-78375
6526	0	26	0	55830	0	1451580	-58143
2264	0	24	0	55174	0	1324176	227033
4461	4461	94	94	67038	67038	6301572	235098
3999	0	30	0	51252	0	1537560	21267
35624	0	223	0	157278	0	35072994	238675
9252	0	48	0	79510	0	3816480	197687
15236	0	90	0	77440	0	6969600	418341
18073	0	180	0	27284	0	4911120	-297706




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=114152&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=114152&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114152&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 time12 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Correlations for all pairs of data series (method=pearson)
CostsGrCostsTradesGrTradesDividendsGrDivTrDivWealth
Costs10.8610.7640.7530.3170.3480.7580.702
GrCosts0.86110.6130.8880.3160.4730.7620.857
Trades0.7640.61310.680.3470.2970.8660.516
GrTrades0.7530.8880.6810.3370.5730.7540.756
Dividends0.3170.3160.3470.33710.4370.5390.442
GrDiv0.3480.4730.2970.5730.43710.3850.406
TrDiv0.7580.7620.8660.7540.5390.38510.723
Wealth 0.7020.8570.5160.7560.4420.4060.7231

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Costs & GrCosts & Trades & GrTrades & Dividends & GrDiv & TrDiv & Wealth
 \tabularnewline
Costs & 1 & 0.861 & 0.764 & 0.753 & 0.317 & 0.348 & 0.758 & 0.702 \tabularnewline
GrCosts & 0.861 & 1 & 0.613 & 0.888 & 0.316 & 0.473 & 0.762 & 0.857 \tabularnewline
Trades & 0.764 & 0.613 & 1 & 0.68 & 0.347 & 0.297 & 0.866 & 0.516 \tabularnewline
GrTrades & 0.753 & 0.888 & 0.68 & 1 & 0.337 & 0.573 & 0.754 & 0.756 \tabularnewline
Dividends & 0.317 & 0.316 & 0.347 & 0.337 & 1 & 0.437 & 0.539 & 0.442 \tabularnewline
GrDiv & 0.348 & 0.473 & 0.297 & 0.573 & 0.437 & 1 & 0.385 & 0.406 \tabularnewline
TrDiv & 0.758 & 0.762 & 0.866 & 0.754 & 0.539 & 0.385 & 1 & 0.723 \tabularnewline
Wealth
 & 0.702 & 0.857 & 0.516 & 0.756 & 0.442 & 0.406 & 0.723 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114152&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Costs[/C][C]GrCosts[/C][C]Trades[/C][C]GrTrades[/C][C]Dividends[/C][C]GrDiv[/C][C]TrDiv[/C][C]Wealth
[/C][/ROW]
[ROW][C]Costs[/C][C]1[/C][C]0.861[/C][C]0.764[/C][C]0.753[/C][C]0.317[/C][C]0.348[/C][C]0.758[/C][C]0.702[/C][/ROW]
[ROW][C]GrCosts[/C][C]0.861[/C][C]1[/C][C]0.613[/C][C]0.888[/C][C]0.316[/C][C]0.473[/C][C]0.762[/C][C]0.857[/C][/ROW]
[ROW][C]Trades[/C][C]0.764[/C][C]0.613[/C][C]1[/C][C]0.68[/C][C]0.347[/C][C]0.297[/C][C]0.866[/C][C]0.516[/C][/ROW]
[ROW][C]GrTrades[/C][C]0.753[/C][C]0.888[/C][C]0.68[/C][C]1[/C][C]0.337[/C][C]0.573[/C][C]0.754[/C][C]0.756[/C][/ROW]
[ROW][C]Dividends[/C][C]0.317[/C][C]0.316[/C][C]0.347[/C][C]0.337[/C][C]1[/C][C]0.437[/C][C]0.539[/C][C]0.442[/C][/ROW]
[ROW][C]GrDiv[/C][C]0.348[/C][C]0.473[/C][C]0.297[/C][C]0.573[/C][C]0.437[/C][C]1[/C][C]0.385[/C][C]0.406[/C][/ROW]
[ROW][C]TrDiv[/C][C]0.758[/C][C]0.762[/C][C]0.866[/C][C]0.754[/C][C]0.539[/C][C]0.385[/C][C]1[/C][C]0.723[/C][/ROW]
[ROW][C]Wealth
[/C][C]0.702[/C][C]0.857[/C][C]0.516[/C][C]0.756[/C][C]0.442[/C][C]0.406[/C][C]0.723[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114152&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114152&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=pearson)
CostsGrCostsTradesGrTradesDividendsGrDivTrDivWealth
Costs10.8610.7640.7530.3170.3480.7580.702
GrCosts0.86110.6130.8880.3160.4730.7620.857
Trades0.7640.61310.680.3470.2970.8660.516
GrTrades0.7530.8880.6810.3370.5730.7540.756
Dividends0.3170.3160.3470.33710.4370.5390.442
GrDiv0.3480.4730.2970.5730.43710.3850.406
TrDiv0.7580.7620.8660.7540.5390.38510.723
Wealth 0.7020.8570.5160.7560.4420.4060.7231







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Costs;GrCosts0.86060.49170.4377
p-value(0)(0)(0)
Costs;Trades0.76440.93570.8021
p-value(0)(0)(0)
Costs;GrTrades0.75260.48540.4108
p-value(0)(0)(0)
Costs;Dividends0.31690.4280.3504
p-value(0)(0)(0)
Costs;GrDiv0.34760.22080.1753
p-value(0)(0)(0)
Costs;TrDiv0.75830.89710.7701
p-value(0)(0)(0)
Costs;Wealth 0.70190.32690.2405
p-value(0)(0)(0)
GrCosts;Trades0.61320.45010.3825
p-value(0)(0)(0)
GrCosts;GrTrades0.88810.99640.9571
p-value(0)(0)(0)
GrCosts;Dividends0.31560.31010.2584
p-value(0)(0)(0)
GrCosts;GrDiv0.47260.79620.7344
p-value(0)(0)(0)
GrCosts;TrDiv0.76250.42790.3631
p-value(0)(0)(0)
GrCosts;Wealth 0.85710.24960.2051
p-value(0)(0)(0)
Trades;GrTrades0.67980.45750.4094
p-value(0)(0)(0)
Trades;Dividends0.34720.41910.3349
p-value(0)(0)(0)
Trades;GrDiv0.29750.1920.1557
p-value(0)(1e-04)(1e-04)
Trades;TrDiv0.86630.95620.918
p-value(0)(0)(0)
Trades;Wealth 0.51590.35750.2586
p-value(0)(0)(0)
GrTrades;Dividends0.33680.3110.2626
p-value(0)(0)(0)
GrTrades;GrDiv0.57340.79860.7402
p-value(0)(0)(0)
GrTrades;TrDiv0.75440.43540.3811
p-value(0)(0)(0)
GrTrades;Wealth 0.7560.25540.2077
p-value(0)(0)(0)
Dividends;GrDiv0.4370.29560.2645
p-value(0)(0)(0)
Dividends;TrDiv0.53850.53410.4188
p-value(0)(0)(0)
Dividends;Wealth 0.44230.43090.3396
p-value(0)(0)(0)
GrDiv;TrDiv0.38460.24320.1986
p-value(0)(0)(0)
GrDiv;Wealth 0.4060.19910.1564
p-value(0)(0)(0)
TrDiv;Wealth 0.72290.40110.2881
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
Costs;GrCosts & 0.8606 & 0.4917 & 0.4377 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Costs;Trades & 0.7644 & 0.9357 & 0.8021 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Costs;GrTrades & 0.7526 & 0.4854 & 0.4108 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Costs;Dividends & 0.3169 & 0.428 & 0.3504 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Costs;GrDiv & 0.3476 & 0.2208 & 0.1753 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Costs;TrDiv & 0.7583 & 0.8971 & 0.7701 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Costs;Wealth
 & 0.7019 & 0.3269 & 0.2405 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrCosts;Trades & 0.6132 & 0.4501 & 0.3825 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrCosts;GrTrades & 0.8881 & 0.9964 & 0.9571 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrCosts;Dividends & 0.3156 & 0.3101 & 0.2584 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrCosts;GrDiv & 0.4726 & 0.7962 & 0.7344 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrCosts;TrDiv & 0.7625 & 0.4279 & 0.3631 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrCosts;Wealth
 & 0.8571 & 0.2496 & 0.2051 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Trades;GrTrades & 0.6798 & 0.4575 & 0.4094 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Trades;Dividends & 0.3472 & 0.4191 & 0.3349 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Trades;GrDiv & 0.2975 & 0.192 & 0.1557 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Trades;TrDiv & 0.8663 & 0.9562 & 0.918 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Trades;Wealth
 & 0.5159 & 0.3575 & 0.2586 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrTrades;Dividends & 0.3368 & 0.311 & 0.2626 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrTrades;GrDiv & 0.5734 & 0.7986 & 0.7402 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrTrades;TrDiv & 0.7544 & 0.4354 & 0.3811 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrTrades;Wealth
 & 0.756 & 0.2554 & 0.2077 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Dividends;GrDiv & 0.437 & 0.2956 & 0.2645 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Dividends;TrDiv & 0.5385 & 0.5341 & 0.4188 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Dividends;Wealth
 & 0.4423 & 0.4309 & 0.3396 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrDiv;TrDiv & 0.3846 & 0.2432 & 0.1986 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
GrDiv;Wealth
 & 0.406 & 0.1991 & 0.1564 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TrDiv;Wealth
 & 0.7229 & 0.4011 & 0.2881 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114152&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]Costs;GrCosts[/C][C]0.8606[/C][C]0.4917[/C][C]0.4377[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Costs;Trades[/C][C]0.7644[/C][C]0.9357[/C][C]0.8021[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Costs;GrTrades[/C][C]0.7526[/C][C]0.4854[/C][C]0.4108[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Costs;Dividends[/C][C]0.3169[/C][C]0.428[/C][C]0.3504[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Costs;GrDiv[/C][C]0.3476[/C][C]0.2208[/C][C]0.1753[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Costs;TrDiv[/C][C]0.7583[/C][C]0.8971[/C][C]0.7701[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Costs;Wealth
[/C][C]0.7019[/C][C]0.3269[/C][C]0.2405[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrCosts;Trades[/C][C]0.6132[/C][C]0.4501[/C][C]0.3825[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrCosts;GrTrades[/C][C]0.8881[/C][C]0.9964[/C][C]0.9571[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrCosts;Dividends[/C][C]0.3156[/C][C]0.3101[/C][C]0.2584[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrCosts;GrDiv[/C][C]0.4726[/C][C]0.7962[/C][C]0.7344[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrCosts;TrDiv[/C][C]0.7625[/C][C]0.4279[/C][C]0.3631[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrCosts;Wealth
[/C][C]0.8571[/C][C]0.2496[/C][C]0.2051[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Trades;GrTrades[/C][C]0.6798[/C][C]0.4575[/C][C]0.4094[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Trades;Dividends[/C][C]0.3472[/C][C]0.4191[/C][C]0.3349[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Trades;GrDiv[/C][C]0.2975[/C][C]0.192[/C][C]0.1557[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Trades;TrDiv[/C][C]0.8663[/C][C]0.9562[/C][C]0.918[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Trades;Wealth
[/C][C]0.5159[/C][C]0.3575[/C][C]0.2586[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrTrades;Dividends[/C][C]0.3368[/C][C]0.311[/C][C]0.2626[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrTrades;GrDiv[/C][C]0.5734[/C][C]0.7986[/C][C]0.7402[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrTrades;TrDiv[/C][C]0.7544[/C][C]0.4354[/C][C]0.3811[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrTrades;Wealth
[/C][C]0.756[/C][C]0.2554[/C][C]0.2077[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Dividends;GrDiv[/C][C]0.437[/C][C]0.2956[/C][C]0.2645[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Dividends;TrDiv[/C][C]0.5385[/C][C]0.5341[/C][C]0.4188[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Dividends;Wealth
[/C][C]0.4423[/C][C]0.4309[/C][C]0.3396[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrDiv;TrDiv[/C][C]0.3846[/C][C]0.2432[/C][C]0.1986[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]GrDiv;Wealth
[/C][C]0.406[/C][C]0.1991[/C][C]0.1564[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TrDiv;Wealth
[/C][C]0.7229[/C][C]0.4011[/C][C]0.2881[/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=114152&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114152&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
Costs;GrCosts0.86060.49170.4377
p-value(0)(0)(0)
Costs;Trades0.76440.93570.8021
p-value(0)(0)(0)
Costs;GrTrades0.75260.48540.4108
p-value(0)(0)(0)
Costs;Dividends0.31690.4280.3504
p-value(0)(0)(0)
Costs;GrDiv0.34760.22080.1753
p-value(0)(0)(0)
Costs;TrDiv0.75830.89710.7701
p-value(0)(0)(0)
Costs;Wealth 0.70190.32690.2405
p-value(0)(0)(0)
GrCosts;Trades0.61320.45010.3825
p-value(0)(0)(0)
GrCosts;GrTrades0.88810.99640.9571
p-value(0)(0)(0)
GrCosts;Dividends0.31560.31010.2584
p-value(0)(0)(0)
GrCosts;GrDiv0.47260.79620.7344
p-value(0)(0)(0)
GrCosts;TrDiv0.76250.42790.3631
p-value(0)(0)(0)
GrCosts;Wealth 0.85710.24960.2051
p-value(0)(0)(0)
Trades;GrTrades0.67980.45750.4094
p-value(0)(0)(0)
Trades;Dividends0.34720.41910.3349
p-value(0)(0)(0)
Trades;GrDiv0.29750.1920.1557
p-value(0)(1e-04)(1e-04)
Trades;TrDiv0.86630.95620.918
p-value(0)(0)(0)
Trades;Wealth 0.51590.35750.2586
p-value(0)(0)(0)
GrTrades;Dividends0.33680.3110.2626
p-value(0)(0)(0)
GrTrades;GrDiv0.57340.79860.7402
p-value(0)(0)(0)
GrTrades;TrDiv0.75440.43540.3811
p-value(0)(0)(0)
GrTrades;Wealth 0.7560.25540.2077
p-value(0)(0)(0)
Dividends;GrDiv0.4370.29560.2645
p-value(0)(0)(0)
Dividends;TrDiv0.53850.53410.4188
p-value(0)(0)(0)
Dividends;Wealth 0.44230.43090.3396
p-value(0)(0)(0)
GrDiv;TrDiv0.38460.24320.1986
p-value(0)(0)(0)
GrDiv;Wealth 0.4060.19910.1564
p-value(0)(0)(0)
TrDiv;Wealth 0.72290.40110.2881
p-value(0)(0)(0)



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
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')