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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 15 Dec 2010 15:09:05 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/15/t12924256342sa88v0uzcugl49.htm/, Retrieved Fri, 03 May 2024 09:01:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110446, Retrieved Fri, 03 May 2024 09:01:22 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

158

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

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
-   PD  [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2010-12-14 19:55:28] [c2a9e95daa10045f9fd6252038bcb219]
- RMPD    [Kendall tau Correlation Matrix] [Sleep] [2010-12-14 21:45:48] [c2a9e95daa10045f9fd6252038bcb219]
-   PD      [Kendall tau Correlation Matrix] [Nikske] [2010-12-14 23:45:50] [74be16979710d4c4e7c6647856088456]
-   P         [Kendall tau Correlation Matrix] [Correlation Matrix] [2010-12-15 01:17:55] [d672a41e0af7ff107c03f1d65e47fd32]
-   PD            [Kendall tau Correlation Matrix] [Test] [2010-12-15 15:09:05] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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3,32	523	-3	2065,81	10457	28,37	111,22
3,30	519	-3	1940,49	10368	27,34	111,09
3,30	509	-4	2042,00	10244	24,46	111
3,09	512	-8	1995,37	10511	27,46	111,06
2,79	519	-9	1946,81	10812	30,23	111,55
2,76	517	-13	1765,90	10738	32,33	112,32
2,75	510	-18	1635,25	10171	29,87	112,64
2,56	509	-11	1833,42	9721	24,87	112,36
2,56	501	-9	1910,43	9897	25,48	112,04
2,21	507	-10	1959,67	9828	27,28	112,37
2,08	569	-13	1969,60	9924	28,24	112,59
2,10	580	-11	2061,41	10371	29,58	112,89
2,02	578	-5	2093,48	10846	26,95	113,22
2,01	565	-15	2120,88	10413	29,08	112,85
1,97	547	-6	2174,56	10709	28,76	113,06
2,06	555	-6	2196,72	10662	29,59	112,99
2,02	562	-3	2350,44	10570	30,70	113,32
2,03	561	-1	2440,25	10297	30,52	113,74
2,01	555	-3	2408,64	10635	32,67	113,91
2,08	544	-4	2472,81	10872	33,19	114,52
2,02	537	-6	2407,60	10296	37,13	114,96
2,03	543	0	2454,62	10383	35,54	114,91
2,07	594	-4	2448,05	10431	37,75	115,3
2,04	611	-2	2497,84	10574	41,84	115,44
2,05	613	-2	2645,64	10653	42,94	115,52
2,11	611	-6	2756,76	10805	49,14	116,08
2,09	594	-7	2849,27	10872	44,61	115,94
2,05	595	-6	2921,44	10625	40,22	115,56
2,08	591	-6	2981,85	10407	44,23	115,88
2,06	589	-3	3080,58	10463	45,85	116,66
2,06	584	-2	3106,22	10556	53,38	117,41
2,08	573	-5	3119,31	10646	53,26	117,68
2,07	567	-11	3061,26	10702	51,80	117,85
2,06	569	-11	3097,31	11353	55,30	118,21
2,07	621	-11	3161,69	11346	57,81	118,92
2,06	629	-10	3257,16	11451	63,96	119,03
2,09	628	-14	3277,01	11964	63,77	119,17
2,07	612	-8	3295,32	12574	59,15	118,95
2,09	595	-9	3363,99	13031	56,12	118,92
2,28	597	-5	3494,17	13812	57,42	118,9
2,33	593	-1	3667,03	14544	63,52	118,92
2,35	590	-2	3813,06	14931	61,71	119,44
2,52	580	-5	3917,96	14886	63,01	119,40
2,63	574	-4	3895,51	16005	68,18	119,98
2,58	573	-6	3801,06	17064	72,03	120,43
2,70	573	-2	3570,12	15168	69,75	120,41
2,81	620	-2	3701,61	16050	74,41	120,82
2,97	626	-2	3862,27	15839	74,33	120,97
3,04	620	-2	3970,10	15137	64,24	120,63
3,28	588	2	4138,52	14954	60,03	120,38
3,33	566	1	4199,75	15648	59,44	120,68
3,50	557	-8	4290,89	15305	62,50	120,84
3,56	561	-1	4443,91	15579	55,04	120,90
3,57	549	1	4502,64	16348	58,34	121,56
3,69	532	-1	4356,98	15928	61,92	121,57
3,82	526	2	4591,27	16171	67,65	122,12
3,79	511	2	4696,96	15937	67,68	121,97
3,96	499	1	4621,40	15713	70,30	121,96
4,06	555	-1	4562,84	15594	75,26	122,48
4,05	565	-2	4202,52	15683	71,44	122,33
4,03	542	-2	4296,49	16438	76,36	122,44
3,94	527	-1	4435,23	17032	81,71	123,08
4,02	510	-8	4105,18	17696	92,60	124,23
3,88	514	-4	4116,68	17745	90,60	124,58
4,02	517	-6	3844,49	19394	92,23	125,08
4,03	508	-3	3720,98	20148	94,09	125,98
4,09	493	-3	3674,40	20108	102,79	126,90
3,99	490	-7	3857,62	18584	109,65	127,19
4,01	469	-9	3801,06	18441	124,05	128,33
4,01	478	-11	3504,37	18391	132,69	129,04
4,19	528	-13	3032,60	19178	135,81	129,72
4,30	534	-11	3047,03	18079	116,07	128,92
4,27	518	-9	2962,34	18483	101,42	129,13
3,82	506	-17	2197,82	19644	75,73	128,90
3,15	502	-22	2014,45	19195	55,48	128,13
2,49	516	-25	1862,83	19650	43,80	127,85
1,81	528	-20	1905,41	20830	45,29	127,98
1,26	533	-24	1810,99	23595	44,01	128,42
1,06	536	-24	1670,07	22937	47,48	127,68
0,84	537	-22	1864,44	21814	51,07	127,95
0,78	524	-19	2052,02	21928	57,84	127,85
0,70	536	-18	2029,60	21777	69,04	127,61
0,36	587	-17	2070,83	21383	65,61	127,53
0,35	597	-11	2293,41	21467	72,87	127,92
0,36	581	-11	2443,27	22052	68,41	127,59
0,36	564	-12	2513,17	22680	73,25	127,65
0,36	558	-10	2466,92	24320	77,43	127,98
0,35	575	-15	2502,66	24977	75,28	128,19
0,34	580	-15	2539,91	25204	77,33	128,77
0,34	575	-15	2482,60	25739	74,31	129,31
0,35	563	-13	2626,15	26434	79,70	129,80
0,35	552	-8	2656,32	27525	85,47	130,24
0,34	537	-13	2446,66	30695	77,98	130,76
0,35	545	-9	2467,38	32436	75,69	130,75
0,48	601	-7	2462,32	30160	75,20	130,81
0,43	604	-4	2504,58	30236	77,21	130,89
0,45	586	-4	2579,39	31293	77,85	131,30
0,70	564	-2	2649,24	31077	83,53	131,49
0,59	549	0	2636,87	32226	85,99	131,65

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110446&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110446&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110446&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=pearson)
	Eonia	Werkloosheid	Consumentenvertrouwen	BEL20	Goudprijs	Olieprijs	CPI
Eonia	1	-0.433	0.374	0.578	-0.453	0.203	-0.243
Werkloosheid	-0.433	1	0.189	0.078	-0.078	-0.165	-0.121
Consumentenvertrouwen	0.374	0.189	1	0.619	-0.252	0.029	-0.31
BEL20	0.578	0.078	0.619	1	-0.027	0.498	0.14
Goudprijs	-0.453	-0.078	-0.252	-0.027	1	0.601	0.915
Olieprijs	0.203	-0.165	0.029	0.498	0.601	1	0.784
CPI	-0.243	-0.121	-0.31	0.14	0.915	0.784	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Eonia & Werkloosheid & Consumentenvertrouwen & BEL20 & Goudprijs & Olieprijs & CPI \tabularnewline
Eonia & 1 & -0.433 & 0.374 & 0.578 & -0.453 & 0.203 & -0.243 \tabularnewline
Werkloosheid & -0.433 & 1 & 0.189 & 0.078 & -0.078 & -0.165 & -0.121 \tabularnewline
Consumentenvertrouwen & 0.374 & 0.189 & 1 & 0.619 & -0.252 & 0.029 & -0.31 \tabularnewline
BEL20 & 0.578 & 0.078 & 0.619 & 1 & -0.027 & 0.498 & 0.14 \tabularnewline
Goudprijs & -0.453 & -0.078 & -0.252 & -0.027 & 1 & 0.601 & 0.915 \tabularnewline
Olieprijs & 0.203 & -0.165 & 0.029 & 0.498 & 0.601 & 1 & 0.784 \tabularnewline
CPI & -0.243 & -0.121 & -0.31 & 0.14 & 0.915 & 0.784 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110446&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Eonia[/C][C]Werkloosheid[/C][C]Consumentenvertrouwen[/C][C]BEL20[/C][C]Goudprijs[/C][C]Olieprijs[/C][C]CPI[/C][/ROW]
[ROW][C]Eonia[/C][C]1[/C][C]-0.433[/C][C]0.374[/C][C]0.578[/C][C]-0.453[/C][C]0.203[/C][C]-0.243[/C][/ROW]
[ROW][C]Werkloosheid[/C][C]-0.433[/C][C]1[/C][C]0.189[/C][C]0.078[/C][C]-0.078[/C][C]-0.165[/C][C]-0.121[/C][/ROW]
[ROW][C]Consumentenvertrouwen[/C][C]0.374[/C][C]0.189[/C][C]1[/C][C]0.619[/C][C]-0.252[/C][C]0.029[/C][C]-0.31[/C][/ROW]
[ROW][C]BEL20[/C][C]0.578[/C][C]0.078[/C][C]0.619[/C][C]1[/C][C]-0.027[/C][C]0.498[/C][C]0.14[/C][/ROW]
[ROW][C]Goudprijs[/C][C]-0.453[/C][C]-0.078[/C][C]-0.252[/C][C]-0.027[/C][C]1[/C][C]0.601[/C][C]0.915[/C][/ROW]
[ROW][C]Olieprijs[/C][C]0.203[/C][C]-0.165[/C][C]0.029[/C][C]0.498[/C][C]0.601[/C][C]1[/C][C]0.784[/C][/ROW]
[ROW][C]CPI[/C][C]-0.243[/C][C]-0.121[/C][C]-0.31[/C][C]0.14[/C][C]0.915[/C][C]0.784[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110446&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110446&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)
	Eonia	Werkloosheid	Consumentenvertrouwen	BEL20	Goudprijs	Olieprijs	CPI
Eonia	1	-0.433	0.374	0.578	-0.453	0.203	-0.243
Werkloosheid	-0.433	1	0.189	0.078	-0.078	-0.165	-0.121
Consumentenvertrouwen	0.374	0.189	1	0.619	-0.252	0.029	-0.31
BEL20	0.578	0.078	0.619	1	-0.027	0.498	0.14
Goudprijs	-0.453	-0.078	-0.252	-0.027	1	0.601	0.915
Olieprijs	0.203	-0.165	0.029	0.498	0.601	1	0.784
CPI	-0.243	-0.121	-0.31	0.14	0.915	0.784	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Eonia;Werkloosheid	-0.4332	-0.4362	-0.2677
p-value	(0)	(0)	(1e-04)
Eonia;Consumentenvertrouwen	0.3738	0.3587	0.2476
p-value	(1e-04)	(3e-04)	(4e-04)
Eonia;BEL20	0.5783	0.5137	0.3631
p-value	(0)	(0)	(0)
Eonia;Goudprijs	-0.4526	-0.2204	-0.0645
p-value	(0)	(0.0283)	(0.3469)
Eonia;Olieprijs	0.2029	0.1653	0.1194
p-value	(0.044)	(0.1021)	(0.0815)
Eonia;CPI	-0.2435	-0.1441	-0.0143
p-value	(0.0152)	(0.1548)	(0.8347)
Werkloosheid;Consumentenvertrouwen	0.1888	0.1455	0.0935
p-value	(0.0613)	(0.1507)	(0.1813)
Werkloosheid;BEL20	0.0785	0.1819	0.1445
p-value	(0.44)	(0.0716)	(0.0346)
Werkloosheid;Goudprijs	-0.0781	-0.082	-0.0453
p-value	(0.4423)	(0.4196)	(0.5079)
Werkloosheid;Olieprijs	-0.1651	-0.0592	-0.0405
p-value	(0.1024)	(0.5606)	(0.5534)
Werkloosheid;CPI	-0.1206	-0.0882	-0.061
p-value	(0.2345)	(0.3854)	(0.3724)
Consumentenvertrouwen;BEL20	0.6189	0.6133	0.4597
p-value	(0)	(0)	(0)
Consumentenvertrouwen;Goudprijs	-0.2517	-0.2322	-0.1425
p-value	(0.012)	(0.0208)	(0.0411)
Consumentenvertrouwen;Olieprijs	0.0291	0.0378	0.0264
p-value	(0.7747)	(0.7102)	(0.7048)
Consumentenvertrouwen;CPI	-0.3103	-0.2137	-0.1168
p-value	(0.0018)	(0.0337)	(0.0943)
BEL20;Goudprijs	-0.0267	0.1496	0.1416
p-value	(0.7927)	(0.1393)	(0.0378)
BEL20;Olieprijs	0.498	0.557	0.3991
p-value	(0)	(0)	(0)
BEL20;CPI	0.1404	0.2186	0.2193
p-value	(0.1658)	(0.0297)	(0.0013)
Goudprijs;Olieprijs	0.6013	0.7869	0.6065
p-value	(0)	(0)	(0)
Goudprijs;CPI	0.9151	0.9526	0.8212
p-value	(0)	(0)	(0)
Olieprijs;CPI	0.7839	0.8411	0.6955
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
Eonia;Werkloosheid & -0.4332 & -0.4362 & -0.2677 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
Eonia;Consumentenvertrouwen & 0.3738 & 0.3587 & 0.2476 \tabularnewline
p-value & (1e-04) & (3e-04) & (4e-04) \tabularnewline
Eonia;BEL20 & 0.5783 & 0.5137 & 0.3631 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Eonia;Goudprijs & -0.4526 & -0.2204 & -0.0645 \tabularnewline
p-value & (0) & (0.0283) & (0.3469) \tabularnewline
Eonia;Olieprijs & 0.2029 & 0.1653 & 0.1194 \tabularnewline
p-value & (0.044) & (0.1021) & (0.0815) \tabularnewline
Eonia;CPI & -0.2435 & -0.1441 & -0.0143 \tabularnewline
p-value & (0.0152) & (0.1548) & (0.8347) \tabularnewline
Werkloosheid;Consumentenvertrouwen & 0.1888 & 0.1455 & 0.0935 \tabularnewline
p-value & (0.0613) & (0.1507) & (0.1813) \tabularnewline
Werkloosheid;BEL20 & 0.0785 & 0.1819 & 0.1445 \tabularnewline
p-value & (0.44) & (0.0716) & (0.0346) \tabularnewline
Werkloosheid;Goudprijs & -0.0781 & -0.082 & -0.0453 \tabularnewline
p-value & (0.4423) & (0.4196) & (0.5079) \tabularnewline
Werkloosheid;Olieprijs & -0.1651 & -0.0592 & -0.0405 \tabularnewline
p-value & (0.1024) & (0.5606) & (0.5534) \tabularnewline
Werkloosheid;CPI & -0.1206 & -0.0882 & -0.061 \tabularnewline
p-value & (0.2345) & (0.3854) & (0.3724) \tabularnewline
Consumentenvertrouwen;BEL20 & 0.6189 & 0.6133 & 0.4597 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Consumentenvertrouwen;Goudprijs & -0.2517 & -0.2322 & -0.1425 \tabularnewline
p-value & (0.012) & (0.0208) & (0.0411) \tabularnewline
Consumentenvertrouwen;Olieprijs & 0.0291 & 0.0378 & 0.0264 \tabularnewline
p-value & (0.7747) & (0.7102) & (0.7048) \tabularnewline
Consumentenvertrouwen;CPI & -0.3103 & -0.2137 & -0.1168 \tabularnewline
p-value & (0.0018) & (0.0337) & (0.0943) \tabularnewline
BEL20;Goudprijs & -0.0267 & 0.1496 & 0.1416 \tabularnewline
p-value & (0.7927) & (0.1393) & (0.0378) \tabularnewline
BEL20;Olieprijs & 0.498 & 0.557 & 0.3991 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BEL20;CPI & 0.1404 & 0.2186 & 0.2193 \tabularnewline
p-value & (0.1658) & (0.0297) & (0.0013) \tabularnewline
Goudprijs;Olieprijs & 0.6013 & 0.7869 & 0.6065 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Goudprijs;CPI & 0.9151 & 0.9526 & 0.8212 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Olieprijs;CPI & 0.7839 & 0.8411 & 0.6955 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110446&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]Eonia;Werkloosheid[/C][C]-0.4332[/C][C]-0.4362[/C][C]-0.2677[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Eonia;Consumentenvertrouwen[/C][C]0.3738[/C][C]0.3587[/C][C]0.2476[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](3e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]Eonia;BEL20[/C][C]0.5783[/C][C]0.5137[/C][C]0.3631[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Eonia;Goudprijs[/C][C]-0.4526[/C][C]-0.2204[/C][C]-0.0645[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0283)[/C][C](0.3469)[/C][/ROW]
[ROW][C]Eonia;Olieprijs[/C][C]0.2029[/C][C]0.1653[/C][C]0.1194[/C][/ROW]
[ROW][C]p-value[/C][C](0.044)[/C][C](0.1021)[/C][C](0.0815)[/C][/ROW]
[ROW][C]Eonia;CPI[/C][C]-0.2435[/C][C]-0.1441[/C][C]-0.0143[/C][/ROW]
[ROW][C]p-value[/C][C](0.0152)[/C][C](0.1548)[/C][C](0.8347)[/C][/ROW]
[ROW][C]Werkloosheid;Consumentenvertrouwen[/C][C]0.1888[/C][C]0.1455[/C][C]0.0935[/C][/ROW]
[ROW][C]p-value[/C][C](0.0613)[/C][C](0.1507)[/C][C](0.1813)[/C][/ROW]
[ROW][C]Werkloosheid;BEL20[/C][C]0.0785[/C][C]0.1819[/C][C]0.1445[/C][/ROW]
[ROW][C]p-value[/C][C](0.44)[/C][C](0.0716)[/C][C](0.0346)[/C][/ROW]
[ROW][C]Werkloosheid;Goudprijs[/C][C]-0.0781[/C][C]-0.082[/C][C]-0.0453[/C][/ROW]
[ROW][C]p-value[/C][C](0.4423)[/C][C](0.4196)[/C][C](0.5079)[/C][/ROW]
[ROW][C]Werkloosheid;Olieprijs[/C][C]-0.1651[/C][C]-0.0592[/C][C]-0.0405[/C][/ROW]
[ROW][C]p-value[/C][C](0.1024)[/C][C](0.5606)[/C][C](0.5534)[/C][/ROW]
[ROW][C]Werkloosheid;CPI[/C][C]-0.1206[/C][C]-0.0882[/C][C]-0.061[/C][/ROW]
[ROW][C]p-value[/C][C](0.2345)[/C][C](0.3854)[/C][C](0.3724)[/C][/ROW]
[ROW][C]Consumentenvertrouwen;BEL20[/C][C]0.6189[/C][C]0.6133[/C][C]0.4597[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Consumentenvertrouwen;Goudprijs[/C][C]-0.2517[/C][C]-0.2322[/C][C]-0.1425[/C][/ROW]
[ROW][C]p-value[/C][C](0.012)[/C][C](0.0208)[/C][C](0.0411)[/C][/ROW]
[ROW][C]Consumentenvertrouwen;Olieprijs[/C][C]0.0291[/C][C]0.0378[/C][C]0.0264[/C][/ROW]
[ROW][C]p-value[/C][C](0.7747)[/C][C](0.7102)[/C][C](0.7048)[/C][/ROW]
[ROW][C]Consumentenvertrouwen;CPI[/C][C]-0.3103[/C][C]-0.2137[/C][C]-0.1168[/C][/ROW]
[ROW][C]p-value[/C][C](0.0018)[/C][C](0.0337)[/C][C](0.0943)[/C][/ROW]
[ROW][C]BEL20;Goudprijs[/C][C]-0.0267[/C][C]0.1496[/C][C]0.1416[/C][/ROW]
[ROW][C]p-value[/C][C](0.7927)[/C][C](0.1393)[/C][C](0.0378)[/C][/ROW]
[ROW][C]BEL20;Olieprijs[/C][C]0.498[/C][C]0.557[/C][C]0.3991[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BEL20;CPI[/C][C]0.1404[/C][C]0.2186[/C][C]0.2193[/C][/ROW]
[ROW][C]p-value[/C][C](0.1658)[/C][C](0.0297)[/C][C](0.0013)[/C][/ROW]
[ROW][C]Goudprijs;Olieprijs[/C][C]0.6013[/C][C]0.7869[/C][C]0.6065[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Goudprijs;CPI[/C][C]0.9151[/C][C]0.9526[/C][C]0.8212[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Olieprijs;CPI[/C][C]0.7839[/C][C]0.8411[/C][C]0.6955[/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=110446&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110446&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
Eonia;Werkloosheid	-0.4332	-0.4362	-0.2677
p-value	(0)	(0)	(1e-04)
Eonia;Consumentenvertrouwen	0.3738	0.3587	0.2476
p-value	(1e-04)	(3e-04)	(4e-04)
Eonia;BEL20	0.5783	0.5137	0.3631
p-value	(0)	(0)	(0)
Eonia;Goudprijs	-0.4526	-0.2204	-0.0645
p-value	(0)	(0.0283)	(0.3469)
Eonia;Olieprijs	0.2029	0.1653	0.1194
p-value	(0.044)	(0.1021)	(0.0815)
Eonia;CPI	-0.2435	-0.1441	-0.0143
p-value	(0.0152)	(0.1548)	(0.8347)
Werkloosheid;Consumentenvertrouwen	0.1888	0.1455	0.0935
p-value	(0.0613)	(0.1507)	(0.1813)
Werkloosheid;BEL20	0.0785	0.1819	0.1445
p-value	(0.44)	(0.0716)	(0.0346)
Werkloosheid;Goudprijs	-0.0781	-0.082	-0.0453
p-value	(0.4423)	(0.4196)	(0.5079)
Werkloosheid;Olieprijs	-0.1651	-0.0592	-0.0405
p-value	(0.1024)	(0.5606)	(0.5534)
Werkloosheid;CPI	-0.1206	-0.0882	-0.061
p-value	(0.2345)	(0.3854)	(0.3724)
Consumentenvertrouwen;BEL20	0.6189	0.6133	0.4597
p-value	(0)	(0)	(0)
Consumentenvertrouwen;Goudprijs	-0.2517	-0.2322	-0.1425
p-value	(0.012)	(0.0208)	(0.0411)
Consumentenvertrouwen;Olieprijs	0.0291	0.0378	0.0264
p-value	(0.7747)	(0.7102)	(0.7048)
Consumentenvertrouwen;CPI	-0.3103	-0.2137	-0.1168
p-value	(0.0018)	(0.0337)	(0.0943)
BEL20;Goudprijs	-0.0267	0.1496	0.1416
p-value	(0.7927)	(0.1393)	(0.0378)
BEL20;Olieprijs	0.498	0.557	0.3991
p-value	(0)	(0)	(0)
BEL20;CPI	0.1404	0.2186	0.2193
p-value	(0.1658)	(0.0297)	(0.0013)
Goudprijs;Olieprijs	0.6013	0.7869	0.6065
p-value	(0)	(0)	(0)
Goudprijs;CPI	0.9151	0.9526	0.8212
p-value	(0)	(0)	(0)
Olieprijs;CPI	0.7839	0.8411	0.6955
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code