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Author's title

Author

*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

Tue, 28 Dec 2010 08:33:14 +0000

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/2010/Dec/28/t1293525058r0eetoexg4s3skm.htm/, Retrieved Sat, 04 May 2024 22:40:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116217, Retrieved Sat, 04 May 2024 22:40:25 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

148

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Standard Deviation-Mean Plot] [Unemployment] [2010-11-29 10:34:47] [b98453cac15ba1066b407e146608df68]
- RMP     [ARIMA Backward Selection] [Unemployment] [2010-11-29 17:10:28] [b98453cac15ba1066b407e146608df68]
F   PD      [ARIMA Backward Selection] [Workshop 6 'Aanta...] [2010-12-14 18:47:02] [40c8b935cbad1b0be3c22a481f9723f7]
- R P         [ARIMA Backward Selection] [ARIMA backward se...] [2010-12-17 15:45:37] [75b8170d590d2aca2c97c1862bb2167f]
-   PD          [ARIMA Backward Selection] [ARIMA BACKWARD Se...] [2010-12-26 13:20:22] [c895532cb7349383dee5125244983cc8]
- RMP             [ARIMA Forecasting] [] [2010-12-26 14:45:55] [c895532cb7349383dee5125244983cc8]
- RM D              [Kendall tau Correlation Matrix] [Pearson correlati...] [2010-12-26 15:06:39] [c895532cb7349383dee5125244983cc8]
-                     [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2010-12-26 15:10:04] [c895532cb7349383dee5125244983cc8]
-    D                  [Kendall tau Correlation Matrix] [Pearson correlati...] [2010-12-26 15:15:56] [c895532cb7349383dee5125244983cc8]
-                         [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2010-12-26 15:18:36] [c895532cb7349383dee5125244983cc8]
-   P                         [Kendall tau Correlation Matrix] [Kendal Tau Correl...] [2010-12-28 08:33:14] [a4848c79f7a98c5639a543e143e21e11] [Current]

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Dataseries X:

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Boxplots

1	1595	17	60720	319369
0	5565	47	94355	493408
0	601	6	60720	319210
1	188	11	77655	381180
1	7146	105	134028	297978
0	1135	17	62285	290476
1	450	8	59325	292136
1	34	8	60630	314353
1	133	14	65990	339445
1	119	6	59118	303677
0	2053	53	100423	397144
0	4036	63	100269	424898
1	0	0	60720	315380
1	4655	393	60720	341570
1	131	11	61808	308989
1	1766	73	60438	305959
1	312	14	58598	318690
1	448	40	59781	323361
1	115	13	60945	318903
1	60	10	61124	314049
1	0	0	60720	315380
1	364	35	47705	298466
1	0	0	60720	315380
0	1442	118	121173	438493
0	1389	9	57530	378049
1	149	5	62041	313332
1	2212	14	60720	319864
0	7489	322	136996	430866
1	0	0	60720	315380
1	402	26	84990	332743
0	7419	29	63255	286963
1	0	0	60720	315380
1	307	15	58856	331955
0	1134	162	146216	527021
0	7561	87	82425	364304
1	5131	71	86111	292154
1	9	6	60835	314987
1	2264	24	55174	272713
1	40949	481	129352	1398893
0	4980	91	113521	409642
1	272	8	112995	429112
1	757	19	45689	382712
1	1424	94	131116	374943
1	0	0	60720	315380
0	378	52	71873	297413
1	1061	5	70415	304252
1	0	0	60720	315380
1	203	9	61938	309596
0	3689	25	101792	377305
1	567	11	103345	386212
0	27664	282	74996	657954
1	1686	40	68696	368186
0	1164	17	57320	269753
1	15824	64	63838	585715
1	6575	159	151352	1071292
0	37597	248	37884	992426
1	314	5	60720	315371
0	1932	36	72954	249898
0	5692	72	64239	357312
1	0	0	60720	315380
1	0	0	60720	315380
0	6533	75	126910	364839
0	2126	138	21001	230621
1	14	1	61016	315877
0	3192	60	59831	125390
1	47	3	60720	314882
0	4891	217	210568	370837
0	531	10	71641	330068
1	2332	4	72680	324385
1	0	0	60720	315380
0	16275	109	47818	1443586
1	9252	48	79510	253537
0	29790	309	81767	4321023
1	0	0	60720	315380
0	2300	29	64873	352108
1	267	32	57640	330059
0	382	21	59365	340968
1	397	28	60646	317736
1	11920	182	31080	209458
0	54660	302	126942	1491348
1	5	2	60720	314887
1	0	0	60720	315380
1	0	0	60720	315380
0	2647	37	62920	353058
1	0	0	60720	315380
0	0	0	60720	315380
1	94	7	60793	314533
1	3	2	60698	315354
1	454	51	63261	302187
1	227	9	76644	336639
0	0	0	60720	315380
1	206	9	53110	296702
1	25830	115	245546	1073089
1	1528	38	60326	146494
1	271	2	60720	325249
1	138	6	69817	331420
1	0	0	60720	315380
1	278	26	61404	314922
1	282	30	62452	320016
1	571	80	41477	280398
1	2253	99	63593	452469
1	290	2	58790	301164
1	78	16	62700	317330
1	20	2	60805	315576
1	0	0	60720	315380
1	18073	180	27284	-7170
1	1866	29	56225	322331
0	42634	156	157214	1629616
1	249	62	54323	292754
1	422	28	57935	318056
1	2675	79	59017	355178
1	965	3	73490	204325
1	0	0	60720	315380
1	621	16	68005	317046
0	0	0	60720	315380
1	365	8	54820	309560
0	3122	34	94670	414462
0	12988	119	82340	857217
0	5336	81	112477	697458
0	3160	108	108094	530670
1	2489	40	67804	238125
1	0	0	60720	315380
0	6984	45	80570	741409
1	2001	52	95551	393343
1	15236	90	77440	372631
0	0	0	60720	315380
1	530	60	73433	317291
1	0	0	60720	315380
1	35624	223	157278	306275
0	1383	11	73221	317892
1	875	14	67000	334280
0	0	0	60720	315380
0	0	0	60720	315380
0	0	0	60720	315380
1	72	3	60398	314210
0	265	31	60720	306948
1	0	0	60720	315380
1	335	33	64175	320398
0	0	0	60720	315380
1	0	0	60720	315380
1	4525	226	93811	501749
0	3045	58	27330	202055
1	0	0	60720	315380
1	0	0	60720	315380
0	638	14	60370	333210
0	0	0	60720	315380
1	607	11	60436	322340
1	1558	63	55637	369448
0	1324	117	67440	291841
1	0	0	60720	315380
0	0	0	60720	315380
1	611	8	59190	296919
1	0	0	60720	315380
1	923	8	58620	309038
1	661	3	65920	246541
0	2397	14	74020	289513
1	366	53	61808	344425
1	0	0	60720	315380
1	135	2	62065	314210
0	1659	29	107577	480382
1	316	9	60505	315009
1	0	0	60720	315380
1	309	11	56535	312878
0	49	8	64107	322031
1	0	0	60720	315380
0	4519	49	102129	597793
1	0	0	60720	315380
1	837	69	61262	315688
1	5119	49	39039	378525
1	1280	117	69465	312378
1	2564	22	130140	403560
0	2045	20	97890	510834
0	2234	16	77200	214215
1	975	23	90534	235133
0	1136	32	48522	343613
1	453	21	81125	365959
1	0	0	60720	315380
1	61	14	60720	314551
1	368	17	61686	303230
0	0	0	60720	315380
1	4901	84	121920	469107
1	540	14	103960	354228
1	0	0	60720	315380
1	0	0	60720	315380
0	0	0	60720	315380
1	2	9	60735	315394
1	36	4	61564	312412
1	776	9	64230	333505
1	84738	588	-26007	223193
1	0	0	60720	315380
1	3	4	60761	315656
1	529	9	63870	296261
1	0	0	60720	315380
1	405	7	60845	336425
1	972	34	71642	359335
1	0	0	60720	315380
1	2099	64	106611	308636
0	3437	47	48022	158492
0	0	0	60720	315380
1	0	0	60720	315380
0	22330	84	79801	711969
0	0	0	60720	315380
0	0	0	60720	315380
1	483	27	60830	306268
1	0	0	60720	315380
1	2239	21	88590	442882
0	2949	41	82903	378509
1	0	0	60720	315380
1	365	83	87192	346611
1	2461	57	55792	314289
0	21950	519	114337	856956
0	3294	23	75832	217193
1	141	6	61630	315366
1	572	16	58580	307930
1	13326	102	165548	702380
1	2284	33	76403	194493
0	10	2	61656	316155
1	0	0	60720	315380
0	1414	198	70184	330546
1	1975	35	118881	394510
1	43	3	60887	312846
1	0	0	60720	315380
1	844	78	60925	296139
1	304	15	62969	295580
1	458	11	58625	297765
1	18562	155	102313	377934
1	0	0	60720	315380
1	7123	109	288170	638830
1	622	73	73007	304376
1	174	1	64820	307424
1	2220	22	301670	644190
1	121	24	56178	295370
0	11819	85	106113	574339
1	0	0	60720	315380
1	125	12	60798	310201
1	1182	13	70694	327007
1	1503	39	56364	343466
1	0	0	60720	315380
1	0	0	60720	315380
1	30	4	62045	318098
0	3310	33	75230	448243
1	554	11	79285	325738
0	0	0	60720	315380
1	468	21	60720	312161
1	4917	42	52811	243650
1	3256	66	35250	407159
1	0	0	60720	315380
1	125	13	59734	317698
1	0	0	60720	315380
1	22	2	60722	312502
0	0	0	60720	315380
1	514	52	78780	322378
0	0	0	60720	315380
1	0	0	60720	315380
0	0	0	60720	315380
1	0	0	60720	315380
1	0	0	60720	315380
1	0	0	60720	315380
1	10327	91	88577	640273
1	13718	61	96448	345783
1	3748	9	50350	652925
1	14416	361	49857	439798
0	1526	25	69351	278990
0	666	171	117869	339836
1	2844	67	72683	240897
1	0	0	60720	315380
1	368	17	61167	297141
1	0	0	60720	315380
1	333	13	70811	331323
1	26	1	60896	313880
1	0	0	60720	315380
1	0	0	60720	315380
1	1303	61	69863	309422
1	20	3	60938	315245
1	2384	97	61348	405972
0	203	27	50804	300962
0	71	1	60745	316176
1	53	14	59506	302409
1	562	13	58456	283587
1	622	7	60950	263276
1	645	5	60720	312075
0	1763	24	61600	308336
1	0	0	60720	315380
1	317	9	63915	298700
1	1	6	60719	315372
1	275	4	59500	318745
1	0	0	60720	315380
1	936	30	67939	408881
1	8568	37	32168	786690
0	11528	70	-14545	-83265
0	0	0	60720	315380
1	738	10	60720	321376
1	0	0	60720	315380
1	592	7	64270	276898
1	126	10	60951	315547
1	2	1	60743	315487
1	0	0	60720	315380
0	18014	239	-1710	1405225
0	0	0	60720	315380
0	0	0	60720	315380
0	37704	452	60448	983660
0	63	4	65688	318574
1	1431	34	106885	310768
1	94	3	61360	312887
1	192	4	65276	312339
1	32	1	59988	314964
1	6869	105	117520	379983
1	0	0	60720	315380
1	0	0	60720	315380
1	1	4	60722	315398
0	0	0	60720	315380
1	2328	94	82732	253588
0	209	13	64016	316647
1	28	2	60890	315688
1	176	28	68136	310670
1	1920	15	79420	165404
0	87550	458	153198	4111912
1	520	10	58650	291650
0	0	0	60720	315380
1	1013	2	69770	253468
1	15	8	60831	315688
1	587	12	59595	325699
1	5371	66	87720	446211
1	0	0	60720	315380
1	1012	47	114768	368078
1	0	0	60720	315380
1	876	59	138971	352850
0	162556	1081	213118	6282154
1	43556	247	32648	227132
0	3425	12	83620	283910
1	810	43	74015	236761
1	0	0	60720	315380
0	0	0	60720	315380
0	2365	79	191778	550608
0	1261	33	76114	307528
1	0	0	60720	315380
1	1585	107	93099	355864
1	16189	295	116384	358589
1	0	0	60720	315380
0	0	0	60720	315380
1	10579	92	110309	375195
1	474	20	61977	288985
1	0	0	60720	315380
1	3642	86	90262	458343
1	0	0	60720	315380
0	472	20	80045	269587
1	98	2	61490	315236
1	3999	30	51252	42754
1	0	0	60720	315380
1	621	48	60720	308256
1	0	0	60720	315380
1	0	0	60720	315380
0	30	4	60798	313164
1	0	0	60720	315380
1	746	23	71561	269661
0	0	0	60720	315380
1	0	0	60720	315380
0	0	0	60720	315380
1	0	0	60720	315380
0	4150	150	134759	518365
0	4658	158	156608	233773
1	814	18	39625	301881
1	1002	15	56750	298568
0	496	17	87390	325479
1	389	14	58990	325506
1	12679	110	48020	984885
1	400	152	60720	313267
1	53	6	60349	315793
1	0	0	60720	315380
0	5109	97	67038	215362
1	576	18	113761	314073
1	438	11	58320	298096
1	165	24	62841	325176
1	4069	145	79804	207393
0	23	5	62555	314806
1	1285	107	99489	341340
0	4677	75	90131	426280
0	24811	505	95350	929118
1	167	2	64245	307322
1	0	0	60720	315380
1	4628	62	69159	387475
1	226	5	65745	291787
0	1765	20	77623	247060
1	460	15	63346	329784
1	36	3	60894	315834
1	989	11	58930	304555
0	3055	43	60247	376641
0	0	0	60720	315380
1	0	0	60720	315380
0	0	0	60720	315380
1	0	0	60720	315380
1	0	0	60720	315380
1	13253	947	90829	357760
1	24	8	59818	315637
1	0	0	60720	315380
0	0	0	60720	315380
1	0	0	60720	315380
1	0	0	60720	315380
1	131	6	59661	327071
1	514	15	102725	377516
1	3366	80	108479	299243
0	9327	101	87419	387699
1	384	22	54683	309836
1	17821	373	122844	444477
1	397	10	62710	322327
1	897	5	60720	314913
1	218	21	60720	315553
0	3369	28	87161	688779
1	5702	61	101481	321896
1	8636	855	128294	301607
1	534	7	62620	304485
1	0	0	60720	315380
0	0	0	60720	315380
1	726	3	69980	231861
1	1380	26	60982	347385
1	180	11	59635	316386
0	7285	115	188873	491303
1	880	74	80791	261216
1	1	2	60727	315388
1	0	0	60720	315380
1	96	5	60379	313729
1	1889	45	37527	358649
0	45187	353	234817	1926517
1	288	4	60510	296656
1	1270	26	69206	275311
1	6526	26	55830	-42143
0	0	0	60720	315380
1	226	12	72835	343929
1	694	8	68060	367655
1	0	0	60720	315380
1	249	72	56726	313491

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116217&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116217&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116217&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	4 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Correlations for all pairs of data series (method=kendall)
	Group	costs	trades	dividends	wealth
Group	1	-0.159	-0.131	-0.148	-0.155
costs	-0.159	1	0.774	0.33	0.178
trades	-0.131	0.774	1	0.317	0.186
dividends	-0.148	0.33	0.317	1	0.246
wealth	-0.155	0.178	0.186	0.246	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Group & costs & trades & dividends & wealth \tabularnewline
Group & 1 & -0.159 & -0.131 & -0.148 & -0.155 \tabularnewline
costs & -0.159 & 1 & 0.774 & 0.33 & 0.178 \tabularnewline
trades & -0.131 & 0.774 & 1 & 0.317 & 0.186 \tabularnewline
dividends & -0.148 & 0.33 & 0.317 & 1 & 0.246 \tabularnewline
wealth & -0.155 & 0.178 & 0.186 & 0.246 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116217&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Group[/C][C]costs[/C][C]trades[/C][C]dividends[/C][C]wealth[/C][/ROW]
[ROW][C]Group[/C][C]1[/C][C]-0.159[/C][C]-0.131[/C][C]-0.148[/C][C]-0.155[/C][/ROW]
[ROW][C]costs[/C][C]-0.159[/C][C]1[/C][C]0.774[/C][C]0.33[/C][C]0.178[/C][/ROW]
[ROW][C]trades[/C][C]-0.131[/C][C]0.774[/C][C]1[/C][C]0.317[/C][C]0.186[/C][/ROW]
[ROW][C]dividends[/C][C]-0.148[/C][C]0.33[/C][C]0.317[/C][C]1[/C][C]0.246[/C][/ROW]
[ROW][C]wealth[/C][C]-0.155[/C][C]0.178[/C][C]0.186[/C][C]0.246[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116217&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116217&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)
	Group	costs	trades	dividends	wealth
Group	1	-0.159	-0.131	-0.148	-0.155
costs	-0.159	1	0.774	0.33	0.178
trades	-0.131	0.774	1	0.317	0.186
dividends	-0.148	0.33	0.317	1	0.246
wealth	-0.155	0.178	0.186	0.246	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Group;costs	-0.1872	-0.189	-0.1589
p-value	(1e-04)	(1e-04)	(1e-04)
Group;trades	-0.1565	-0.1555	-0.1312
p-value	(0.0011)	(0.0012)	(0.0013)
Group;dividends	-0.1474	-0.1743	-0.1476
p-value	(0.0022)	(3e-04)	(3e-04)
Group;wealth	-0.2154	-0.1847	-0.1553
p-value	(0)	(1e-04)	(1e-04)
costs;trades	0.7505	0.919	0.7741
p-value	(0)	(0)	(0)
costs;dividends	0.3219	0.4126	0.3304
p-value	(0)	(0)	(0)
costs;wealth	0.7953	0.2571	0.1783
p-value	(0)	(0)	(0)
trades;dividends	0.3559	0.4049	0.3169
p-value	(0)	(0)	(0)
trades;wealth	0.5675	0.2659	0.1862
p-value	(0)	(0)	(0)
dividends;wealth	0.3776	0.3288	0.2459
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
Group;costs & -0.1872 & -0.189 & -0.1589 \tabularnewline
p-value & (1e-04) & (1e-04) & (1e-04) \tabularnewline
Group;trades & -0.1565 & -0.1555 & -0.1312 \tabularnewline
p-value & (0.0011) & (0.0012) & (0.0013) \tabularnewline
Group;dividends & -0.1474 & -0.1743 & -0.1476 \tabularnewline
p-value & (0.0022) & (3e-04) & (3e-04) \tabularnewline
Group;wealth & -0.2154 & -0.1847 & -0.1553 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
costs;trades & 0.7505 & 0.919 & 0.7741 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
costs;dividends & 0.3219 & 0.4126 & 0.3304 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
costs;wealth & 0.7953 & 0.2571 & 0.1783 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
trades;dividends & 0.3559 & 0.4049 & 0.3169 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
trades;wealth & 0.5675 & 0.2659 & 0.1862 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
dividends;wealth & 0.3776 & 0.3288 & 0.2459 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116217&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]Group;costs[/C][C]-0.1872[/C][C]-0.189[/C][C]-0.1589[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Group;trades[/C][C]-0.1565[/C][C]-0.1555[/C][C]-0.1312[/C][/ROW]
[ROW][C]p-value[/C][C](0.0011)[/C][C](0.0012)[/C][C](0.0013)[/C][/ROW]
[ROW][C]Group;dividends[/C][C]-0.1474[/C][C]-0.1743[/C][C]-0.1476[/C][/ROW]
[ROW][C]p-value[/C][C](0.0022)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]Group;wealth[/C][C]-0.2154[/C][C]-0.1847[/C][C]-0.1553[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]costs;trades[/C][C]0.7505[/C][C]0.919[/C][C]0.7741[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]costs;dividends[/C][C]0.3219[/C][C]0.4126[/C][C]0.3304[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]costs;wealth[/C][C]0.7953[/C][C]0.2571[/C][C]0.1783[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]trades;dividends[/C][C]0.3559[/C][C]0.4049[/C][C]0.3169[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]trades;wealth[/C][C]0.5675[/C][C]0.2659[/C][C]0.1862[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]dividends;wealth[/C][C]0.3776[/C][C]0.3288[/C][C]0.2459[/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=116217&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116217&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
Group;costs	-0.1872	-0.189	-0.1589
p-value	(1e-04)	(1e-04)	(1e-04)
Group;trades	-0.1565	-0.1555	-0.1312
p-value	(0.0011)	(0.0012)	(0.0013)
Group;dividends	-0.1474	-0.1743	-0.1476
p-value	(0.0022)	(3e-04)	(3e-04)
Group;wealth	-0.2154	-0.1847	-0.1553
p-value	(0)	(1e-04)	(1e-04)
costs;trades	0.7505	0.919	0.7741
p-value	(0)	(0)	(0)
costs;dividends	0.3219	0.4126	0.3304
p-value	(0)	(0)	(0)
costs;wealth	0.7953	0.2571	0.1783
p-value	(0)	(0)	(0)
trades;dividends	0.3559	0.4049	0.3169
p-value	(0)	(0)	(0)
trades;wealth	0.5675	0.2659	0.1862
p-value	(0)	(0)	(0)
dividends;wealth	0.3776	0.3288	0.2459
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 1 ; par6 = 1 ; par7 = 1 ; par8 = 0 ; par9 = 0 ; par10 = FALSE ;

Parameters (R input):

par1 = kendall ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 1 ; par6 = 1 ; par7 = 1 ; par8 = 0 ; par9 = 0 ; par10 = FALSE ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

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