Free Statistics

of Irreproducible Research!

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 computationFri, 10 Dec 2010 22:32:40 +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/10/t1292020458aq0a0pcoet0zyro.htm/, Retrieved Mon, 29 Apr 2024 15:11:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107977, Retrieved Mon, 29 Apr 2024 15:11:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
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]
- R PD  [Kendall tau Correlation Matrix] [Correlatiematrix] [2010-12-09 20:16:16] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD      [Kendall tau Correlation Matrix] [Schiphol - Kendall] [2010-12-10 22:32:40] [9ea95e194e0eb2a674315798620d5bc6] [Current]
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Dataseries X:
0	1979900	7	0	1737275	1742117	1522522	1276674	1086979	1149822
0	2061036	8	0	1979900	1737275	1742117	1522522	1276674	1086979
0	1867943	9	0	2061036	1979900	1737275	1742117	1522522	1276674
0	1707752	10	0	1867943	2061036	1979900	1737275	1742117	1522522
0	1298756	11	0	1707752	1867943	2061036	1979900	1737275	1742117
0	1281814	12	0	1298756	1707752	1867943	2061036	1979900	1737275
0	1281151	13	0	1281814	1298756	1707752	1867943	2061036	1979900
0	1164976	14	0	1281151	1281814	1298756	1707752	1867943	2061036
0	1454329	15	0	1164976	1281151	1281814	1298756	1707752	1867943
0	1645288	16	0	1454329	1164976	1281151	1281814	1298756	1707752
0	1817743	17	0	1645288	1454329	1164976	1281151	1281814	1298756
0	1895785	18	0	1817743	1645288	1454329	1164976	1281151	1281814
0	2236311	19	0	1895785	1817743	1645288	1454329	1164976	1281151
0	2295951	20	0	2236311	1895785	1817743	1645288	1454329	1164976
0	2087315	21	0	2295951	2236311	1895785	1817743	1645288	1454329
0	1980891	22	0	2087315	2295951	2236311	1895785	1817743	1645288
0	1465446	23	0	1980891	2087315	2295951	2236311	1895785	1817743
0	1445026	24	0	1465446	1980891	2087315	2295951	2236311	1895785
0	1488120	25	0	1445026	1465446	1980891	2087315	2295951	2236311
0	1338333	26	0	1488120	1445026	1465446	1980891	2087315	2295951
0	1715789	27	0	1338333	1488120	1445026	1465446	1980891	2087315
0	1806090	28	0	1715789	1338333	1488120	1445026	1465446	1980891
0	2083316	29	0	1806090	1715789	1338333	1488120	1445026	1465446
0	2092278	30	0	2083316	1806090	1715789	1338333	1488120	1445026
0	2430800	31	0	2092278	2083316	1806090	1715789	1338333	1488120
0	2424894	32	0	2430800	2092278	2083316	1806090	1715789	1338333
0	2299016	33	0	2424894	2430800	2092278	2083316	1806090	1715789
0	2130688	34	0	2299016	2424894	2430800	2092278	2083316	1806090
0	1652221	35	0	2130688	2299016	2424894	2430800	2092278	2083316
0	1608162	36	0	1652221	2130688	2299016	2424894	2430800	2092278
0	1647074	37	0	1608162	1652221	2130688	2299016	2424894	2430800
0	1479691	38	0	1647074	1608162	1652221	2130688	2299016	2424894
0	1884978	39	0	1479691	1647074	1608162	1652221	2130688	2299016
0	2007898	40	0	1884978	1479691	1647074	1608162	1652221	2130688
0	2208954	41	0	2007898	1884978	1479691	1647074	1608162	1652221
0	2217164	42	0	2208954	2007898	1884978	1479691	1647074	1608162
0	2534291	43	0	2217164	2208954	2007898	1884978	1479691	1647074
0	2560312	44	0	2534291	2217164	2208954	2007898	1884978	1479691
0	2429069	45	0	2560312	2534291	2217164	2208954	2007898	1884978
0	2315077	46	0	2429069	2560312	2534291	2217164	2208954	2007898
0	1799608	47	0	2315077	2429069	2560312	2534291	2217164	2208954
0	1772590	48	0	1799608	2315077	2429069	2560312	2534291	2217164
0	1744799	49	0	1772590	1799608	2315077	2429069	2560312	2534291
0	1659093	50	0	1744799	1772590	1799608	2315077	2429069	2560312
0	2099821	51	0	1659093	1744799	1772590	1799608	2315077	2429069
0	2135736	52	0	2099821	1659093	1744799	1772590	1799608	2315077
0	2427894	53	0	2135736	2099821	1659093	1744799	1772590	1799608
0	2468882	54	0	2427894	2135736	2099821	1659093	1744799	1772590
0	2703217	55	0	2468882	2427894	2135736	2099821	1659093	1744799
0	2766841	56	0	2703217	2468882	2427894	2135736	2099821	1659093
0	2655236	57	0	2766841	2703217	2468882	2427894	2135736	2099821
0	2550373	58	0	2655236	2766841	2703217	2468882	2427894	2135736
0	2052097	59	0	2550373	2655236	2766841	2703217	2468882	2427894
0	1998055	60	0	2052097	2550373	2655236	2766841	2703217	2468882
0	1920748	61	0	1998055	2052097	2550373	2655236	2766841	2703217
0	1876694	62	0	1920748	1998055	2052097	2550373	2655236	2766841
0	2380930	63	0	1876694	1920748	1998055	2052097	2550373	2655236
0	2467402	64	0	2380930	1876694	1920748	1998055	2052097	2550373
0	2770771	65	0	2467402	2380930	1876694	1920748	1998055	2052097
0	2781340	66	0	2770771	2467402	2380930	1876694	1920748	1998055
0	3143926	67	0	2781340	2770771	2467402	2380930	1876694	1920748
0	3172235	68	0	3143926	2781340	2770771	2467402	2380930	1876694
0	2952540	69	0	3172235	3143926	2781340	2770771	2467402	2380930
0	2920877	70	0	2952540	3172235	3143926	2781340	2770771	2467402
0	2384552	71	0	2920877	2952540	3172235	3143926	2781340	2770771
0	2248987	72	0	2384552	2920877	2952540	3172235	3143926	2781340
0	2208616	73	0	2248987	2384552	2920877	2952540	3172235	3143926
0	2178756	74	0	2208616	2248987	2384552	2920877	2952540	3172235
0	2632870	75	0	2178756	2208616	2248987	2384552	2920877	2952540
0	2706905	76	0	2632870	2178756	2208616	2248987	2384552	2920877
0	3029745	77	0	2706905	2632870	2178756	2208616	2248987	2384552
0	3015402	78	0	3029745	2706905	2632870	2178756	2208616	2248987
0	3391414	79	0	3015402	3029745	2706905	2632870	2178756	2208616
0	3507805	80	0	3391414	3015402	3029745	2706905	2632870	2178756
0	3177852	81	0	3507805	3391414	3015402	3029745	2706905	2632870
0	3142961	82	0	3177852	3507805	3391414	3015402	3029745	2706905
0	2545815	83	0	3142961	3177852	3507805	3391414	3015402	3029745
0	2414007	84	0	2545815	3142961	3177852	3507805	3391414	3015402
0	2372578	85	0	2414007	2545815	3142961	3177852	3507805	3391414
0	2332664	86	0	2372578	2414007	2545815	3142961	3177852	3507805
0	2825328	87	0	2332664	2372578	2414007	2545815	3142961	3177852
0	2901478	88	0	2825328	2332664	2372578	2414007	2545815	3142961
0	3263955	89	0	2901478	2825328	2332664	2372578	2414007	2545815
0	3226738	90	0	3263955	2901478	2825328	2332664	2372578	2414007
0	3610786	91	0	3226738	3263955	2901478	2825328	2332664	2372578
0	3709274	92	0	3610786	3226738	3263955	2901478	2825328	2332664
0	3467185	93	0	3709274	3610786	3226738	3263955	2901478	2825328
0	3449646	94	0	3467185	3709274	3610786	3226738	3263955	2901478
0	2802951	95	0	3449646	3467185	3709274	3610786	3226738	3263955
0	2462530	96	0	2802951	3449646	3467185	3709274	3610786	3226738
0	2490645	97	0	2462530	2802951	3449646	3467185	3709274	3610786
0	2561520	98	0	2490645	2462530	2802951	3449646	3467185	3709274
0	3067554	99	0	2561520	2490645	2462530	2802951	3449646	3467185
0	3226951	100	0	3067554	2561520	2490645	2462530	2802951	3449646
0	3546493	101	0	3226951	3067554	2561520	2490645	2462530	2802951
0	3492787	102	0	3546493	3226951	3067554	2561520	2490645	2462530
0	3952263	103	0	3492787	3546493	3226951	3067554	2561520	2490645
0	3932072	104	0	3952263	3492787	3546493	3226951	3067554	2561520
0	3720284	105	0	3932072	3952263	3492787	3546493	3226951	3067554
0	3651555	106	0	3720284	3932072	3952263	3492787	3546493	3226951
0	2914972	107	0	3651555	3720284	3932072	3952263	3492787	3546493
0	2713514	108	0	2914972	3651555	3720284	3932072	3952263	3492787
0	2703997	109	0	2713514	2914972	3651555	3720284	3932072	3952263
0	2591373	110	0	2703997	2713514	2914972	3651555	3720284	3932072
0	3163748	111	0	2591373	2703997	2713514	2914972	3651555	3720284
0	3355137	112	0	3163748	2591373	2703997	2713514	2914972	3651555
0	3613702	113	0	3355137	3163748	2591373	2703997	2713514	2914972
0	3686773	114	0	3613702	3355137	3163748	2591373	2703997	2713514
0	4098716	115	0	3686773	3613702	3355137	3163748	2591373	2703997
0	4063517	116	0	4098716	3686773	3613702	3355137	3163748	2591373
1	3551489	117	117	4063517	4098716	3686773	3613702	3355137	3163748
1	3226663	118	118	3551489	4063517	4098716	3686773	3613702	3355137
1	2656842	119	119	3226663	3551489	4063517	4098716	3686773	3613702
1	2597484	120	120	2656842	3226663	3551489	4063517	4098716	3686773
1	2572399	121	121	2597484	2656842	3226663	3551489	4063517	4098716
1	2596631	122	122	2572399	2597484	2656842	3226663	3551489	4063517
1	3165225	123	123	2596631	2572399	2597484	2656842	3226663	3551489
1	3303145	124	124	3165225	2596631	2572399	2597484	2656842	3226663
1	3698247	125	125	3303145	3165225	2596631	2572399	2597484	2656842
1	3668631	126	126	3698247	3303145	3165225	2596631	2572399	2597484
1	4130433	127	127	3668631	3698247	3303145	3165225	2596631	2572399
1	4131400	128	128	4130433	3668631	3698247	3303145	3165225	2596631
1	3864358	129	129	4131400	4130433	3668631	3698247	3303145	3165225
1	3721110	130	130	3864358	4131400	4130433	3668631	3698247	3303145
1	2892532	131	131	3721110	3864358	4131400	4130433	3668631	3698247
1	2843451	132	132	2892532	3721110	3864358	4131400	4130433	3668631
1	2747502	133	133	2843451	2892532	3721110	3864358	4131400	4130433
1	2668775	134	134	2747502	2843451	2892532	3721110	3864358	4131400
1	3018602	135	135	2668775	2747502	2843451	2892532	3721110	3864358
1	3013392	136	136	3018602	2668775	2747502	2843451	2892532	3721110
1	3393657	137	137	3013392	3018602	2668775	2747502	2843451	2892532
1	3544233	138	138	3393657	3013392	3018602	2668775	2747502	2843451
1	4075832	139	139	3544233	3393657	3013392	3018602	2668775	2747502
1	4032923	140	140	4075832	3544233	3393657	3013392	3018602	2668775
1	3734509	141	141	4032923	4075832	3544233	3393657	3013392	3018602
1	3761285	142	142	3734509	4032923	4075832	3544233	3393657	3013392
1	2970090	143	143	3761285	3734509	4032923	4075832	3544233	3393657
1	2847849	144	144	2970090	3761285	3734509	4032923	4075832	3544233
1	2741680	145	145	2847849	2970090	3761285	3734509	4032923	4075832
1	2830639	146	146	2741680	2847849	2970090	3761285	3734509	4032923
1	3257673	147	147	2830639	2741680	2847849	2970090	3761285	3734509
1	3480085	148	148	3257673	2830639	2741680	2847849	2970090	3761285
1	3843271	149	149	3480085	3257673	2830639	2741680	2847849	2970090
1	3796961	150	150	3843271	3480085	3257673	2830639	2741680	2847849
1	4337767	151	151	3796961	3843271	3480085	3257673	2830639	2741680
1	4243630	152	152	4337767	3796961	3843271	3480085	3257673	2830639
1	3927202	153	153	4243630	4337767	3796961	3843271	3480085	3257673
1	3915296	154	154	3927202	4243630	4337767	3796961	3843271	3480085
1	3087396	155	155	3915296	3927202	4243630	4337767	3796961	3843271
1	2963792	156	156	3087396	3915296	3927202	4243630	4337767	3796961
1	2955792	157	157	2963792	3087396	3915296	3927202	4243630	4337767
1	2829925	158	158	2955792	2963792	3087396	3915296	3927202	4243630
1	3281195	159	159	2829925	2955792	2963792	3087396	3915296	3927202
1	3548011	160	160	3281195	2829925	2955792	2963792	3087396	3915296
1	4059648	161	161	3548011	3281195	2829925	2955792	2963792	3087396
1	3941175	162	162	4059648	3548011	3281195	2829925	2955792	2963792
1	4528594	163	163	3941175	4059648	3548011	3281195	2829925	2955792
1	4433151	164	164	4528594	3941175	4059648	3548011	3281195	2829925
1	4145737	165	165	4433151	4528594	3941175	4059648	3548011	3281195
1	4077132	166	166	4145737	4433151	4528594	3941175	4059648	3548011
1	3198519	167	167	4077132	4145737	4433151	4528594	3941175	4059648
1	3078660	168	168	3198519	4077132	4145737	4433151	4528594	3941175
1	3028202	169	169	3078660	3198519	4077132	4145737	4433151	4528594
1	2858642	170	170	3028202	3078660	3198519	4077132	4145737	4433151
1	3398954	171	171	2858642	3028202	3078660	3198519	4077132	4145737
1	3808883	172	172	3398954	2858642	3028202	3078660	3198519	4077132
1	4175961	173	173	3808883	3398954	2858642	3028202	3078660	3198519
1	4227542	174	174	4175961	3808883	3398954	2858642	3028202	3078660
1	4744616	175	175	4227542	4175961	3808883	3398954	2858642	3028202
1	4608012	176	176	4744616	4227542	4175961	3808883	3398954	2858642
1	4295049	177	177	4608012	4744616	4227542	4175961	3808883	3398954
1	4201144	178	178	4295049	4608012	4744616	4227542	4175961	3808883
1	3353276	179	179	4201144	4295049	4608012	4744616	4227542	4175961
1	3286851	180	180	3353276	4201144	4295049	4608012	4744616	4227542
1	3169889	181	181	3286851	3353276	4201144	4295049	4608012	4744616
1	3051720	182	182	3169889	3286851	3353276	4201144	4295049	4608012
1	3695426	183	183	3051720	3169889	3286851	3353276	4201144	4295049
1	3905501	184	184	3695426	3051720	3169889	3286851	3353276	4201144
1	4296458	185	185	3905501	3695426	3051720	3169889	3286851	3353276
1	4246247	186	186	4296458	3905501	3695426	3051720	3169889	3286851
1	4921849	187	187	4246247	4296458	3905501	3695426	3051720	3169889
1	4821446	188	188	4921849	4246247	4296458	3905501	3695426	3051720
1	4425064	189	189	4821446	4921849	4246247	4296458	3905501	3695426
1	4379099	190	190	4425064	4821446	4921849	4246247	4296458	3905501
1	3472889	191	191	4379099	4425064	4821446	4921849	4246247	4296458
1	3359160	192	192	3472889	4379099	4425064	4821446	4921849	4246247
1	3200944	193	193	3359160	3472889	4379099	4425064	4821446	4921849
1	3153170	194	194	3200944	3359160	3472889	4379099	4425064	4821446
1	3741498	195	195	3153170	3200944	3359160	3472889	4379099	4425064
1	3918719	196	196	3741498	3153170	3200944	3359160	3472889	4379099
1	4403449	197	197	3918719	3741498	3153170	3200944	3359160	3472889
1	4400407	198	198	4403449	3918719	3741498	3153170	3200944	3359160
1	4847473	199	199	4400407	4403449	3918719	3741498	3153170	3200944
1	4716136	200	200	4847473	4400407	4403449	3918719	3741498	3153170
1	4297440	201	201	4716136	4847473	4400407	4403449	3918719	3741498
1	4272253	202	202	4297440	4716136	4847473	4400407	4403449	3918719
1	3271834	203	203	4272253	4297440	4716136	4847473	4400407	4403449
1	3168388	204	204	3271834	4272253	4297440	4716136	4847473	4400407
1	2911748	205	205	3168388	3271834	4272253	4297440	4716136	4847473
1	2720999	206	206	2911748	3168388	3271834	4272253	4297440	4716136
1	3199918	207	207	2720999	2911748	3168388	3271834	4272253	4297440
1	3672623	208	208	3199918	2720999	2911748	3168388	3271834	4272253
1	3892013	209	209	3672623	3199918	2720999	2911748	3168388	3271834
1	3850845	210	210	3892013	3672623	3199918	2720999	2911748	3168388
1	4532467	211	211	3850845	3892013	3672623	3199918	2720999	2911748
1	4484739	212	212	4532467	3850845	3892013	3672623	3199918	2720999
1	4014972	213	213	4484739	4532467	3850845	3892013	3672623	3199918
1	3983758	214	214	4014972	4484739	4532467	3850845	3892013	3672623
1	3158459	215	215	3983758	4014972	4484739	4532467	3850845	3892013
1	3100569	216	216	3158459	3983758	4014972	4484739	4532467	3850845
1	2935404	217	217	3100569	3158459	3983758	4014972	4484739	4532467
1	2855719	218	218	2935404	3100569	3158459	3983758	4014972	4484739
1	3465611	219	219	2855719	2935404	3100569	3158459	3983758	4014972
1	3006985	220	220	3465611	2855719	2935404	3100569	3158459	3983758
1	4095110	221	221	3006985	3465611	2855719	2935404	3100569	3158459
1	4104793	222	222	4095110	3006985	3465611	2855719	2935404	3100569
1	4730788	223	223	4104793	4095110	3006985	3465611	2855719	2935404
1	4642726	224	224	4730788	4104793	4095110	3006985	3465611	2855719
1	4246919	225	225	4642726	4730788	4104793	4095110	3006985	3465611
1	4308117	226	226	4246919	4642726	4730788	4104793	4095110	3006985




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 8 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107977&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107977&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107977&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 time8 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Correlations for all pairs of data series (method=kendall)
9/11YttT_9/11Yt-1Yt-2Yt-3Yt-4Yt-5Yt-6
9/1110.5440.7090.8180.5520.5610.5670.5730.5760.578
Yt0.54410.6050.5150.7790.6480.5080.3930.3120.267
t0.7090.60510.8670.6050.6050.6050.6050.6070.61
T_9/110.8180.5150.86710.5160.5180.5190.5190.520.521
Yt-10.5520.7790.6050.51610.780.6480.5080.3950.314
Yt-20.5610.6480.6050.5180.7810.780.6480.5090.396
Yt-30.5670.5080.6050.5190.6480.7810.780.6490.51
Yt-40.5730.3930.6050.5190.5080.6480.7810.7820.651
Yt-50.5760.3120.6070.520.3950.5090.6490.78210.783
Yt-60.5780.2670.610.5210.3140.3960.510.6510.7831

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & 9/11 & Yt & t & T_9/11 & Yt-1 & Yt-2 & Yt-3 & Yt-4 & Yt-5 & Yt-6 \tabularnewline
9/11 & 1 & 0.544 & 0.709 & 0.818 & 0.552 & 0.561 & 0.567 & 0.573 & 0.576 & 0.578 \tabularnewline
Yt & 0.544 & 1 & 0.605 & 0.515 & 0.779 & 0.648 & 0.508 & 0.393 & 0.312 & 0.267 \tabularnewline
t & 0.709 & 0.605 & 1 & 0.867 & 0.605 & 0.605 & 0.605 & 0.605 & 0.607 & 0.61 \tabularnewline
T_9/11 & 0.818 & 0.515 & 0.867 & 1 & 0.516 & 0.518 & 0.519 & 0.519 & 0.52 & 0.521 \tabularnewline
Yt-1 & 0.552 & 0.779 & 0.605 & 0.516 & 1 & 0.78 & 0.648 & 0.508 & 0.395 & 0.314 \tabularnewline
Yt-2 & 0.561 & 0.648 & 0.605 & 0.518 & 0.78 & 1 & 0.78 & 0.648 & 0.509 & 0.396 \tabularnewline
Yt-3 & 0.567 & 0.508 & 0.605 & 0.519 & 0.648 & 0.78 & 1 & 0.78 & 0.649 & 0.51 \tabularnewline
Yt-4 & 0.573 & 0.393 & 0.605 & 0.519 & 0.508 & 0.648 & 0.78 & 1 & 0.782 & 0.651 \tabularnewline
Yt-5 & 0.576 & 0.312 & 0.607 & 0.52 & 0.395 & 0.509 & 0.649 & 0.782 & 1 & 0.783 \tabularnewline
Yt-6 & 0.578 & 0.267 & 0.61 & 0.521 & 0.314 & 0.396 & 0.51 & 0.651 & 0.783 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107977&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]9/11[/C][C]Yt[/C][C]t[/C][C]T_9/11[/C][C]Yt-1[/C][C]Yt-2[/C][C]Yt-3[/C][C]Yt-4[/C][C]Yt-5[/C][C]Yt-6[/C][/ROW]
[ROW][C]9/11[/C][C]1[/C][C]0.544[/C][C]0.709[/C][C]0.818[/C][C]0.552[/C][C]0.561[/C][C]0.567[/C][C]0.573[/C][C]0.576[/C][C]0.578[/C][/ROW]
[ROW][C]Yt[/C][C]0.544[/C][C]1[/C][C]0.605[/C][C]0.515[/C][C]0.779[/C][C]0.648[/C][C]0.508[/C][C]0.393[/C][C]0.312[/C][C]0.267[/C][/ROW]
[ROW][C]t[/C][C]0.709[/C][C]0.605[/C][C]1[/C][C]0.867[/C][C]0.605[/C][C]0.605[/C][C]0.605[/C][C]0.605[/C][C]0.607[/C][C]0.61[/C][/ROW]
[ROW][C]T_9/11[/C][C]0.818[/C][C]0.515[/C][C]0.867[/C][C]1[/C][C]0.516[/C][C]0.518[/C][C]0.519[/C][C]0.519[/C][C]0.52[/C][C]0.521[/C][/ROW]
[ROW][C]Yt-1[/C][C]0.552[/C][C]0.779[/C][C]0.605[/C][C]0.516[/C][C]1[/C][C]0.78[/C][C]0.648[/C][C]0.508[/C][C]0.395[/C][C]0.314[/C][/ROW]
[ROW][C]Yt-2[/C][C]0.561[/C][C]0.648[/C][C]0.605[/C][C]0.518[/C][C]0.78[/C][C]1[/C][C]0.78[/C][C]0.648[/C][C]0.509[/C][C]0.396[/C][/ROW]
[ROW][C]Yt-3[/C][C]0.567[/C][C]0.508[/C][C]0.605[/C][C]0.519[/C][C]0.648[/C][C]0.78[/C][C]1[/C][C]0.78[/C][C]0.649[/C][C]0.51[/C][/ROW]
[ROW][C]Yt-4[/C][C]0.573[/C][C]0.393[/C][C]0.605[/C][C]0.519[/C][C]0.508[/C][C]0.648[/C][C]0.78[/C][C]1[/C][C]0.782[/C][C]0.651[/C][/ROW]
[ROW][C]Yt-5[/C][C]0.576[/C][C]0.312[/C][C]0.607[/C][C]0.52[/C][C]0.395[/C][C]0.509[/C][C]0.649[/C][C]0.782[/C][C]1[/C][C]0.783[/C][/ROW]
[ROW][C]Yt-6[/C][C]0.578[/C][C]0.267[/C][C]0.61[/C][C]0.521[/C][C]0.314[/C][C]0.396[/C][C]0.51[/C][C]0.651[/C][C]0.783[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107977&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107977&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)
9/11YttT_9/11Yt-1Yt-2Yt-3Yt-4Yt-5Yt-6
9/1110.5440.7090.8180.5520.5610.5670.5730.5760.578
Yt0.54410.6050.5150.7790.6480.5080.3930.3120.267
t0.7090.60510.8670.6050.6050.6050.6050.6070.61
T_9/110.8180.5150.86710.5160.5180.5190.5190.520.521
Yt-10.5520.7790.6050.51610.780.6480.5080.3950.314
Yt-20.5610.6480.6050.5180.7810.780.6480.5090.396
Yt-30.5670.5080.6050.5190.6480.7810.780.6490.51
Yt-40.5730.3930.6050.5190.5080.6480.7810.7820.651
Yt-50.5760.3120.6070.520.3950.5090.6490.78210.783
Yt-60.5780.2670.610.5210.3140.3960.510.6510.7831







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
9/11;Yt0.65670.66420.5435
p-value(0)(0)(0)
9/11;t0.8660.8660.7087
p-value(0)(0)(0)
9/11;T_9/110.96740.92580.8177
p-value(0)(0)(0)
9/11;Yt-10.66690.67480.5522
p-value(0)(0)(0)
9/11;Yt-20.67770.68610.5615
p-value(0)(0)(0)
9/11;Yt-30.68430.69330.5673
p-value(0)(0)(0)
9/11;Yt-40.69030.70.5728
p-value(0)(0)(0)
9/11;Yt-50.6930.70440.5765
p-value(0)(0)(0)
9/11;Yt-60.69410.70630.578
p-value(0)(0)(0)
Yt;t0.79540.7950.605
p-value(0)(0)(0)
Yt;T_9/110.67910.67860.5149
p-value(0)(0)(0)
Yt;Yt-10.92870.92840.7788
p-value(0)(0)(0)
Yt;Yt-20.83650.83410.6479
p-value(0)(0)(0)
Yt;Yt-30.69790.6940.5076
p-value(0)(0)(0)
Yt;Yt-40.5550.55330.3926
p-value(0)(0)(0)
Yt;Yt-50.47470.47610.3117
p-value(0)(0)(0)
Yt;Yt-60.42760.42960.2672
p-value(0)(0)(0)
t;T_9/110.92730.93540.8667
p-value(0)(0)(0)
t;Yt-10.79570.79530.605
p-value(0)(0)(0)
t;Yt-20.79610.79570.6052
p-value(0)(0)(0)
t;Yt-30.79590.79570.6049
p-value(0)(0)(0)
t;Yt-40.7960.79590.6051
p-value(0)(0)(0)
t;Yt-50.79760.79720.6074
p-value(0)(0)(0)
t;Yt-60.79920.79850.6096
p-value(0)(0)(0)
T_9/11;Yt-10.68560.68260.5165
p-value(0)(0)(0)
T_9/11;Yt-20.69260.68710.5185
p-value(0)(0)(0)
T_9/11;Yt-30.69580.68910.5187
p-value(0)(0)(0)
T_9/11;Yt-40.69810.6910.5186
p-value(0)(0)(0)
T_9/11;Yt-50.69990.6930.52
p-value(0)(0)(0)
T_9/11;Yt-60.70080.6940.5211
p-value(0)(0)(0)
Yt-1;Yt-20.92880.92880.7796
p-value(0)(0)(0)
Yt-1;Yt-30.83680.83440.6484
p-value(0)(0)(0)
Yt-1;Yt-40.69830.69440.5077
p-value(0)(0)(0)
Yt-1;Yt-50.55760.5560.3945
p-value(0)(0)(0)
Yt-1;Yt-60.47770.47950.3137
p-value(0)(0)(0)
Yt-2;Yt-30.92910.9290.78
p-value(0)(0)(0)
Yt-2;Yt-40.83720.83460.6484
p-value(0)(0)(0)
Yt-2;Yt-50.69980.69620.5088
p-value(0)(0)(0)
Yt-2;Yt-60.560.55880.3963
p-value(0)(0)(0)
Yt-3;Yt-40.9290.9290.7797
p-value(0)(0)(0)
Yt-3;Yt-50.83860.83560.6495
p-value(0)(0)(0)
Yt-3;Yt-60.70190.69790.5104
p-value(0)(0)(0)
Yt-4;Yt-50.93060.92970.7816
p-value(0)(0)(0)
Yt-4;Yt-60.84070.83670.6513
p-value(0)(0)(0)
Yt-5;Yt-60.93150.93020.7827
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
9/11;Yt & 0.6567 & 0.6642 & 0.5435 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9/11;t & 0.866 & 0.866 & 0.7087 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9/11;T_9/11 & 0.9674 & 0.9258 & 0.8177 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9/11;Yt-1 & 0.6669 & 0.6748 & 0.5522 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9/11;Yt-2 & 0.6777 & 0.6861 & 0.5615 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9/11;Yt-3 & 0.6843 & 0.6933 & 0.5673 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9/11;Yt-4 & 0.6903 & 0.7 & 0.5728 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9/11;Yt-5 & 0.693 & 0.7044 & 0.5765 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
9/11;Yt-6 & 0.6941 & 0.7063 & 0.578 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt;t & 0.7954 & 0.795 & 0.605 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt;T_9/11 & 0.6791 & 0.6786 & 0.5149 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt;Yt-1 & 0.9287 & 0.9284 & 0.7788 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt;Yt-2 & 0.8365 & 0.8341 & 0.6479 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt;Yt-3 & 0.6979 & 0.694 & 0.5076 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt;Yt-4 & 0.555 & 0.5533 & 0.3926 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt;Yt-5 & 0.4747 & 0.4761 & 0.3117 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt;Yt-6 & 0.4276 & 0.4296 & 0.2672 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
t;T_9/11 & 0.9273 & 0.9354 & 0.8667 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
t;Yt-1 & 0.7957 & 0.7953 & 0.605 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
t;Yt-2 & 0.7961 & 0.7957 & 0.6052 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
t;Yt-3 & 0.7959 & 0.7957 & 0.6049 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
t;Yt-4 & 0.796 & 0.7959 & 0.6051 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
t;Yt-5 & 0.7976 & 0.7972 & 0.6074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
t;Yt-6 & 0.7992 & 0.7985 & 0.6096 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T_9/11;Yt-1 & 0.6856 & 0.6826 & 0.5165 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T_9/11;Yt-2 & 0.6926 & 0.6871 & 0.5185 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T_9/11;Yt-3 & 0.6958 & 0.6891 & 0.5187 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T_9/11;Yt-4 & 0.6981 & 0.691 & 0.5186 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T_9/11;Yt-5 & 0.6999 & 0.693 & 0.52 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
T_9/11;Yt-6 & 0.7008 & 0.694 & 0.5211 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-1;Yt-2 & 0.9288 & 0.9288 & 0.7796 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-1;Yt-3 & 0.8368 & 0.8344 & 0.6484 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-1;Yt-4 & 0.6983 & 0.6944 & 0.5077 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-1;Yt-5 & 0.5576 & 0.556 & 0.3945 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-1;Yt-6 & 0.4777 & 0.4795 & 0.3137 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-2;Yt-3 & 0.9291 & 0.929 & 0.78 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-2;Yt-4 & 0.8372 & 0.8346 & 0.6484 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-2;Yt-5 & 0.6998 & 0.6962 & 0.5088 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-2;Yt-6 & 0.56 & 0.5588 & 0.3963 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-3;Yt-4 & 0.929 & 0.929 & 0.7797 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-3;Yt-5 & 0.8386 & 0.8356 & 0.6495 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-3;Yt-6 & 0.7019 & 0.6979 & 0.5104 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-4;Yt-5 & 0.9306 & 0.9297 & 0.7816 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-4;Yt-6 & 0.8407 & 0.8367 & 0.6513 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Yt-5;Yt-6 & 0.9315 & 0.9302 & 0.7827 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107977&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]9/11;Yt[/C][C]0.6567[/C][C]0.6642[/C][C]0.5435[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9/11;t[/C][C]0.866[/C][C]0.866[/C][C]0.7087[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9/11;T_9/11[/C][C]0.9674[/C][C]0.9258[/C][C]0.8177[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9/11;Yt-1[/C][C]0.6669[/C][C]0.6748[/C][C]0.5522[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9/11;Yt-2[/C][C]0.6777[/C][C]0.6861[/C][C]0.5615[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9/11;Yt-3[/C][C]0.6843[/C][C]0.6933[/C][C]0.5673[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9/11;Yt-4[/C][C]0.6903[/C][C]0.7[/C][C]0.5728[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9/11;Yt-5[/C][C]0.693[/C][C]0.7044[/C][C]0.5765[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]9/11;Yt-6[/C][C]0.6941[/C][C]0.7063[/C][C]0.578[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt;t[/C][C]0.7954[/C][C]0.795[/C][C]0.605[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt;T_9/11[/C][C]0.6791[/C][C]0.6786[/C][C]0.5149[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt;Yt-1[/C][C]0.9287[/C][C]0.9284[/C][C]0.7788[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt;Yt-2[/C][C]0.8365[/C][C]0.8341[/C][C]0.6479[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt;Yt-3[/C][C]0.6979[/C][C]0.694[/C][C]0.5076[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt;Yt-4[/C][C]0.555[/C][C]0.5533[/C][C]0.3926[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt;Yt-5[/C][C]0.4747[/C][C]0.4761[/C][C]0.3117[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt;Yt-6[/C][C]0.4276[/C][C]0.4296[/C][C]0.2672[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]t;T_9/11[/C][C]0.9273[/C][C]0.9354[/C][C]0.8667[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]t;Yt-1[/C][C]0.7957[/C][C]0.7953[/C][C]0.605[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]t;Yt-2[/C][C]0.7961[/C][C]0.7957[/C][C]0.6052[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]t;Yt-3[/C][C]0.7959[/C][C]0.7957[/C][C]0.6049[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]t;Yt-4[/C][C]0.796[/C][C]0.7959[/C][C]0.6051[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]t;Yt-5[/C][C]0.7976[/C][C]0.7972[/C][C]0.6074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]t;Yt-6[/C][C]0.7992[/C][C]0.7985[/C][C]0.6096[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T_9/11;Yt-1[/C][C]0.6856[/C][C]0.6826[/C][C]0.5165[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T_9/11;Yt-2[/C][C]0.6926[/C][C]0.6871[/C][C]0.5185[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T_9/11;Yt-3[/C][C]0.6958[/C][C]0.6891[/C][C]0.5187[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T_9/11;Yt-4[/C][C]0.6981[/C][C]0.691[/C][C]0.5186[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T_9/11;Yt-5[/C][C]0.6999[/C][C]0.693[/C][C]0.52[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]T_9/11;Yt-6[/C][C]0.7008[/C][C]0.694[/C][C]0.5211[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-1;Yt-2[/C][C]0.9288[/C][C]0.9288[/C][C]0.7796[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-1;Yt-3[/C][C]0.8368[/C][C]0.8344[/C][C]0.6484[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-1;Yt-4[/C][C]0.6983[/C][C]0.6944[/C][C]0.5077[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-1;Yt-5[/C][C]0.5576[/C][C]0.556[/C][C]0.3945[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-1;Yt-6[/C][C]0.4777[/C][C]0.4795[/C][C]0.3137[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-2;Yt-3[/C][C]0.9291[/C][C]0.929[/C][C]0.78[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-2;Yt-4[/C][C]0.8372[/C][C]0.8346[/C][C]0.6484[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-2;Yt-5[/C][C]0.6998[/C][C]0.6962[/C][C]0.5088[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-2;Yt-6[/C][C]0.56[/C][C]0.5588[/C][C]0.3963[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-3;Yt-4[/C][C]0.929[/C][C]0.929[/C][C]0.7797[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-3;Yt-5[/C][C]0.8386[/C][C]0.8356[/C][C]0.6495[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-3;Yt-6[/C][C]0.7019[/C][C]0.6979[/C][C]0.5104[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-4;Yt-5[/C][C]0.9306[/C][C]0.9297[/C][C]0.7816[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-4;Yt-6[/C][C]0.8407[/C][C]0.8367[/C][C]0.6513[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Yt-5;Yt-6[/C][C]0.9315[/C][C]0.9302[/C][C]0.7827[/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=107977&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107977&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
9/11;Yt0.65670.66420.5435
p-value(0)(0)(0)
9/11;t0.8660.8660.7087
p-value(0)(0)(0)
9/11;T_9/110.96740.92580.8177
p-value(0)(0)(0)
9/11;Yt-10.66690.67480.5522
p-value(0)(0)(0)
9/11;Yt-20.67770.68610.5615
p-value(0)(0)(0)
9/11;Yt-30.68430.69330.5673
p-value(0)(0)(0)
9/11;Yt-40.69030.70.5728
p-value(0)(0)(0)
9/11;Yt-50.6930.70440.5765
p-value(0)(0)(0)
9/11;Yt-60.69410.70630.578
p-value(0)(0)(0)
Yt;t0.79540.7950.605
p-value(0)(0)(0)
Yt;T_9/110.67910.67860.5149
p-value(0)(0)(0)
Yt;Yt-10.92870.92840.7788
p-value(0)(0)(0)
Yt;Yt-20.83650.83410.6479
p-value(0)(0)(0)
Yt;Yt-30.69790.6940.5076
p-value(0)(0)(0)
Yt;Yt-40.5550.55330.3926
p-value(0)(0)(0)
Yt;Yt-50.47470.47610.3117
p-value(0)(0)(0)
Yt;Yt-60.42760.42960.2672
p-value(0)(0)(0)
t;T_9/110.92730.93540.8667
p-value(0)(0)(0)
t;Yt-10.79570.79530.605
p-value(0)(0)(0)
t;Yt-20.79610.79570.6052
p-value(0)(0)(0)
t;Yt-30.79590.79570.6049
p-value(0)(0)(0)
t;Yt-40.7960.79590.6051
p-value(0)(0)(0)
t;Yt-50.79760.79720.6074
p-value(0)(0)(0)
t;Yt-60.79920.79850.6096
p-value(0)(0)(0)
T_9/11;Yt-10.68560.68260.5165
p-value(0)(0)(0)
T_9/11;Yt-20.69260.68710.5185
p-value(0)(0)(0)
T_9/11;Yt-30.69580.68910.5187
p-value(0)(0)(0)
T_9/11;Yt-40.69810.6910.5186
p-value(0)(0)(0)
T_9/11;Yt-50.69990.6930.52
p-value(0)(0)(0)
T_9/11;Yt-60.70080.6940.5211
p-value(0)(0)(0)
Yt-1;Yt-20.92880.92880.7796
p-value(0)(0)(0)
Yt-1;Yt-30.83680.83440.6484
p-value(0)(0)(0)
Yt-1;Yt-40.69830.69440.5077
p-value(0)(0)(0)
Yt-1;Yt-50.55760.5560.3945
p-value(0)(0)(0)
Yt-1;Yt-60.47770.47950.3137
p-value(0)(0)(0)
Yt-2;Yt-30.92910.9290.78
p-value(0)(0)(0)
Yt-2;Yt-40.83720.83460.6484
p-value(0)(0)(0)
Yt-2;Yt-50.69980.69620.5088
p-value(0)(0)(0)
Yt-2;Yt-60.560.55880.3963
p-value(0)(0)(0)
Yt-3;Yt-40.9290.9290.7797
p-value(0)(0)(0)
Yt-3;Yt-50.83860.83560.6495
p-value(0)(0)(0)
Yt-3;Yt-60.70190.69790.5104
p-value(0)(0)(0)
Yt-4;Yt-50.93060.92970.7816
p-value(0)(0)(0)
Yt-4;Yt-60.84070.83670.6513
p-value(0)(0)(0)
Yt-5;Yt-60.93150.93020.7827
p-value(0)(0)(0)



Parameters (Session):
par1 = FALSE ; par2 = 0.3 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = 0 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
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')