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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Tue, 21 Dec 2010 00:05:58 +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/21/t1292889990od8hrkkjhky2np0.htm/, Retrieved Sun, 19 May 2024 19:43:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113176, Retrieved Sun, 19 May 2024 19:43:08 +0000

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NA	NA	3,65	15,71	15,56	6,47	3,00	5,00	3,00
6,30	0,69	1,50	6,91	8,79	3,74	3,00	1,00	3,00
NA	NA	2,64	8,13	10,70	4,09	1,00	1,00	1,00
NA	NA	NA	-0,08	8,65	3,22	5,00	2,00	3,00
2,10	0,59	4,23	14,75	15,34	6,44	3,00	5,00	4,00
9,10	-0,36	3,30	9,26	12,10	5,19	4,00	4,00	4,00
15,80	1,36	2,94	-3,77	-1,20	3,56	1,00	1,00	1,00
5,20	0,00	3,41	11,98	12,04	5,97	4,00	5,00	4,00
10,90	1,28	3,33	8,10	10,15	4,14	1,00	2,00	1,00
8,30	0,34	3,91	10,86	12,99	5,44	1,00	1,00	1,00
11,00	0,41	1,95	-0,86	8,76	4,72	5,00	4,00	4,00
3,20	-0,36	3,40	13,05	12,96	5,64	5,00	5,00	5,00
7,60	0,99	NA	-0,60	7,78	NA	2,00	1,00	2,00
NA	NA	3,69	12,14	12,95	5,90	5,00	5,00	5,00
6,30	0,74	1,25	-2,59	7,09	3,74	1,00	1,00	1,00
8,60	NA	3,91	8,01	10,13	3,33	2,00	2,00	2,00
6,60	1,41	1,79	-0,24	8,16	3,74	2,00	2,00	2,00
9,50	0,18	2,34	-1,61	8,52	4,79	2,00	2,00	2,00
4,80	0,26	3,53	7,25	9,77	NA	1,00	2,00	1,00
12,00	1,81	1,95	11,00	11,30	NA	1,00	1,00	1,00
NA	-1,20	3,33	13,18	13,43	5,99	5,00	5,00	5,00
3,30	-0,69	3,00	10,23	11,65	5,00	5,00	5,00	5,00
11,00	1,22	1,36	-2,12	6,91	2,77	3,00	1,00	2,00
NA	NA	3,67	12,24	12,91	5,53	1,00	4,00	1,00
4,70	0,41	3,71	11,35	12,69	5,74	1,00	3,00	1,00
NA	NA	2,79	10,50	11,69	4,14	1,00	1,00	1,00
10,40	1,22	2,20	-2,29	8,29	3,33	5,00	1,00	3,00
7,40	-0,22	2,03	6,95	8,61	4,22	5,00	3,00	4,00
2,10	-0,22	3,83	13,16	13,39	5,82	5,00	5,00	5,00
NA	NA	3,11	11,51	11,96	4,61	1,00	1,00	1,00
NA	NA	2,79	10,46	10,93	3,50	3,00	5,00	4,00
7,70	0,34	0,96	-5,30	-1,97	3,07	5,00	2,00	4,00
17,90	0,69	3,18	-4,61	-1,39	3,91	1,00	1,00	1,00
6,10	0,64	4,61	11,03	14,09	5,59	1,00	1,00	1,00
8,20	0,88	NA	-2,10	8,01	3,40	2,00	1,00	1,00
8,40	1,03	NA	7,21	9,00	3,81	3,00	1,00	3,00
11,90	0,26	1,16	-3,77	-0,92	2,94	4,00	1,00	3,00
10,80	0,69	0,69	-3,04	-1,11	3,40	4,00	1,00	3,00
13,80	1,72	1,61	7,44	8,75	2,48	2,00	1,00	1,00
14,30	1,13	1,87	8,16	9,29	4,79	2,00	1,00	1,00
NA	0,00	3,16	12,43	13,10	6,09	5,00	5,00	5,00
15,20	0,59	2,48	-0,73	9,65	4,94	2,00	2,00	2,00
10,00	-0,11	3,01	9,21	11,65	5,14	4,00	4,00	4,00
11,90	0,59	2,56	7,39	9,34	2,83	2,00	1,00	2,00
6,50	0,64	3,30	12,17	12,10	4,74	4,00	4,00	4,00
7,50	-0,11	2,89	7,82	9,40	3,43	5,00	5,00	5,00
NA	NA	2,62	8,36	10,58	4,14	2,00	2,00	2,00
10,60	0,96	1,55	-1,27	7,55	3,04	3,00	1,00	3,00
7,40	0,88	2,28	8,35	10,83	3,95	1,00	1,00	1,00
8,40	0,18	3,37	8,82	12,10	5,10	2,00	3,00	2,00
5,70	-0,11	1,95	-0,29	9,42	5,42	2,00	2,00	2,00
4,90	-0,69	1,79	8,19	9,95	5,42	3,00	2,00	3,00
NA	NA	2,83	9,60	11,49	5,01	5,00	5,00	5,00
3,20	-0,51	3,00	10,92	12,07	5,02	5,00	5,00	5,00
NA	NA	2,54	7,24	9,43	4,50	2,00	2,00	2,00
8,10	0,79	1,25	-2,81	6,91	NA	3,00	1,00	2,00
11,00	0,83	1,50	-0,11	7,86	4,09	2,00	1,00	2,00
4,90	-0,69	2,01	7,60	9,42	5,30	3,00	1,00	3,00
13,20	0,96	0,83	-2,26	7,82	3,83	3,00	2,00	2,00
9,70	-0,51	3,18	8,34	10,97	5,35	4,00	3,00	4,00
12,80	1,89	1,10	8,16	8,27	2,64	2,00	1,00	1,00
NA	NA	2,56	8,31	9,74	3,64	3,00	1,00	1,00

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 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=113176&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]2 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=113176&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113176&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	2 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)
	SWS	PSln	Lln	wbln	wbrln	tgln	P	S	D
SWS	1	0.569	-0.366	-0.514	-0.55	-0.564	-0.318	-0.544	-0.484
PSln	0.569	1	-0.375	-0.372	-0.315	-0.659	-0.559	-0.647	-0.69
Lln	-0.366	-0.375	1	0.697	0.631	0.661	-0.051	0.522	0.155
wbln	-0.514	-0.372	0.697	1	0.829	0.621	0.07	0.558	0.265
wbrln	-0.55	-0.315	0.631	0.829	1	0.655	0.04	0.517	0.206
tgln	-0.564	-0.659	0.661	0.621	0.655	1	0.155	0.628	0.363
P	-0.318	-0.559	-0.051	0.07	0.04	0.155	1	0.618	0.916
S	-0.544	-0.647	0.522	0.558	0.517	0.628	0.618	1	0.787
D	-0.484	-0.69	0.155	0.265	0.206	0.363	0.916	0.787	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & SWS & PSln & Lln & wbln & wbrln & tgln & P & S & D
 \tabularnewline
SWS & 1 & 0.569 & -0.366 & -0.514 & -0.55 & -0.564 & -0.318 & -0.544 & -0.484 \tabularnewline
PSln & 0.569 & 1 & -0.375 & -0.372 & -0.315 & -0.659 & -0.559 & -0.647 & -0.69 \tabularnewline
Lln & -0.366 & -0.375 & 1 & 0.697 & 0.631 & 0.661 & -0.051 & 0.522 & 0.155 \tabularnewline
wbln & -0.514 & -0.372 & 0.697 & 1 & 0.829 & 0.621 & 0.07 & 0.558 & 0.265 \tabularnewline
wbrln & -0.55 & -0.315 & 0.631 & 0.829 & 1 & 0.655 & 0.04 & 0.517 & 0.206 \tabularnewline
tgln & -0.564 & -0.659 & 0.661 & 0.621 & 0.655 & 1 & 0.155 & 0.628 & 0.363 \tabularnewline
P & -0.318 & -0.559 & -0.051 & 0.07 & 0.04 & 0.155 & 1 & 0.618 & 0.916 \tabularnewline
S & -0.544 & -0.647 & 0.522 & 0.558 & 0.517 & 0.628 & 0.618 & 1 & 0.787 \tabularnewline
D
 & -0.484 & -0.69 & 0.155 & 0.265 & 0.206 & 0.363 & 0.916 & 0.787 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113176&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]SWS[/C][C]PSln[/C][C]Lln[/C][C]wbln[/C][C]wbrln[/C][C]tgln[/C][C]P[/C][C]S[/C][C]D
[/C][/ROW]
[ROW][C]SWS[/C][C]1[/C][C]0.569[/C][C]-0.366[/C][C]-0.514[/C][C]-0.55[/C][C]-0.564[/C][C]-0.318[/C][C]-0.544[/C][C]-0.484[/C][/ROW]
[ROW][C]PSln[/C][C]0.569[/C][C]1[/C][C]-0.375[/C][C]-0.372[/C][C]-0.315[/C][C]-0.659[/C][C]-0.559[/C][C]-0.647[/C][C]-0.69[/C][/ROW]
[ROW][C]Lln[/C][C]-0.366[/C][C]-0.375[/C][C]1[/C][C]0.697[/C][C]0.631[/C][C]0.661[/C][C]-0.051[/C][C]0.522[/C][C]0.155[/C][/ROW]
[ROW][C]wbln[/C][C]-0.514[/C][C]-0.372[/C][C]0.697[/C][C]1[/C][C]0.829[/C][C]0.621[/C][C]0.07[/C][C]0.558[/C][C]0.265[/C][/ROW]
[ROW][C]wbrln[/C][C]-0.55[/C][C]-0.315[/C][C]0.631[/C][C]0.829[/C][C]1[/C][C]0.655[/C][C]0.04[/C][C]0.517[/C][C]0.206[/C][/ROW]
[ROW][C]tgln[/C][C]-0.564[/C][C]-0.659[/C][C]0.661[/C][C]0.621[/C][C]0.655[/C][C]1[/C][C]0.155[/C][C]0.628[/C][C]0.363[/C][/ROW]
[ROW][C]P[/C][C]-0.318[/C][C]-0.559[/C][C]-0.051[/C][C]0.07[/C][C]0.04[/C][C]0.155[/C][C]1[/C][C]0.618[/C][C]0.916[/C][/ROW]
[ROW][C]S[/C][C]-0.544[/C][C]-0.647[/C][C]0.522[/C][C]0.558[/C][C]0.517[/C][C]0.628[/C][C]0.618[/C][C]1[/C][C]0.787[/C][/ROW]
[ROW][C]D
[/C][C]-0.484[/C][C]-0.69[/C][C]0.155[/C][C]0.265[/C][C]0.206[/C][C]0.363[/C][C]0.916[/C][C]0.787[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113176&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113176&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)
	SWS	PSln	Lln	wbln	wbrln	tgln	P	S	D
SWS	1	0.569	-0.366	-0.514	-0.55	-0.564	-0.318	-0.544	-0.484
PSln	0.569	1	-0.375	-0.372	-0.315	-0.659	-0.559	-0.647	-0.69
Lln	-0.366	-0.375	1	0.697	0.631	0.661	-0.051	0.522	0.155
wbln	-0.514	-0.372	0.697	1	0.829	0.621	0.07	0.558	0.265
wbrln	-0.55	-0.315	0.631	0.829	1	0.655	0.04	0.517	0.206
tgln	-0.564	-0.659	0.661	0.621	0.655	1	0.155	0.628	0.363
P	-0.318	-0.559	-0.051	0.07	0.04	0.155	1	0.618	0.916
S	-0.544	-0.647	0.522	0.558	0.517	0.628	0.618	1	0.787
D	-0.484	-0.69	0.155	0.265	0.206	0.363	0.916	0.787	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
SWS;PSln	0.5687	0.5699	0.4049
p-value	(0)	(0)	(1e-04)
SWS;Lln	-0.3665	-0.4141	-0.2886
p-value	(0.0133)	(0.0047)	(0.0056)
SWS;wbln	-0.5143	-0.5051	-0.3619
p-value	(2e-04)	(3e-04)	(3e-04)
SWS;wbrln	-0.5501	-0.5295	-0.3857
p-value	(1e-04)	(1e-04)	(1e-04)
SWS;tgln	-0.564	-0.5998	-0.4416
p-value	(1e-04)	(0)	(0)
SWS;P	-0.3182	-0.2496	-0.1882
p-value	(0.0275)	(0.0871)	(0.0832)
SWS;S	-0.5438	-0.501	-0.3899
p-value	(1e-04)	(3e-04)	(5e-04)
SWS;D	-0.4839	-0.4085	-0.3195
p-value	(5e-04)	(0.0039)	(0.0034)
PSln;Lln	-0.3753	-0.4195	-0.2435
p-value	(0.0102)	(0.0037)	(0.0187)
PSln;wbln	-0.3719	-0.4158	-0.2597
p-value	(0.0085)	(0.003)	(0.0092)
PSln;wbrln	-0.3151	-0.5115	-0.3135
p-value	(0.0275)	(2e-04)	(0.0017)
PSln;tgln	-0.6594	-0.6579	-0.4644
p-value	(0)	(0)	(0)
PSln;P	-0.5586	-0.5349	-0.397
p-value	(0)	(1e-04)	(2e-04)
PSln;S	-0.6473	-0.6788	-0.5299
p-value	(0)	(0)	(0)
PSln;D	-0.6903	-0.67	-0.5195
p-value	(0)	(0)	(0)
Lln;wbln	0.6967	0.7241	0.5506
p-value	(0)	(0)	(0)
Lln;wbrln	0.6307	0.8162	0.6663
p-value	(0)	(0)	(0)
Lln;tgln	0.6607	0.6732	0.4875
p-value	(0)	(0)	(0)
Lln;P	-0.0512	-0.0561	-0.0562
p-value	(0.7028)	(0.6757)	(0.568)
Lln;S	0.5217	0.5333	0.3992
p-value	(0)	(0)	(1e-04)
Lln;D	0.1552	0.1249	0.0845
p-value	(0.2446)	(0.3502)	(0.3918)
wbln;wbrln	0.8287	0.9528	0.8325
p-value	(0)	(0)	(0)
wbln;tgln	0.6208	0.7283	0.5442
p-value	(0)	(0)	(0)
wbln;P	0.07	0.0938	0.0591
p-value	(0.5889)	(0.4684)	(0.5333)
wbln;S	0.5582	0.5711	0.4554
p-value	(0)	(0)	(0)
wbln;D	0.2646	0.251	0.1721
p-value	(0.0377)	(0.0491)	(0.07)
wbrln;tgln	0.6552	0.8058	0.6085
p-value	(0)	(0)	(0)
wbrln;P	0.0402	0.0722	0.0384
p-value	(0.7561)	(0.577)	(0.6855)
wbrln;S	0.5172	0.6001	0.4832
p-value	(0)	(0)	(0)
wbrln;D	0.2061	0.2529	0.1753
p-value	(0.1081)	(0.0474)	(0.0653)
tgln;P	0.1554	0.1231	0.0758
p-value	(0.2441)	(0.3574)	(0.4409)
tgln;S	0.6283	0.6114	0.4945
p-value	(0)	(0)	(0)
tgln;D	0.3625	0.3225	0.2285
p-value	(0.0052)	(0.0136)	(0.0203)
P;S	0.6182	0.5669	0.4693
p-value	(0)	(0)	(0)
P;D	0.916	0.918	0.8563
p-value	(0)	(0)	(0)
S;D	0.7872	0.7181	0.6277
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
SWS;PSln & 0.5687 & 0.5699 & 0.4049 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
SWS;Lln & -0.3665 & -0.4141 & -0.2886 \tabularnewline
p-value & (0.0133) & (0.0047) & (0.0056) \tabularnewline
SWS;wbln & -0.5143 & -0.5051 & -0.3619 \tabularnewline
p-value & (2e-04) & (3e-04) & (3e-04) \tabularnewline
SWS;wbrln & -0.5501 & -0.5295 & -0.3857 \tabularnewline
p-value & (1e-04) & (1e-04) & (1e-04) \tabularnewline
SWS;tgln & -0.564 & -0.5998 & -0.4416 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
SWS;P & -0.3182 & -0.2496 & -0.1882 \tabularnewline
p-value & (0.0275) & (0.0871) & (0.0832) \tabularnewline
SWS;S & -0.5438 & -0.501 & -0.3899 \tabularnewline
p-value & (1e-04) & (3e-04) & (5e-04) \tabularnewline
SWS;D
 & -0.4839 & -0.4085 & -0.3195 \tabularnewline
p-value & (5e-04) & (0.0039) & (0.0034) \tabularnewline
PSln;Lln & -0.3753 & -0.4195 & -0.2435 \tabularnewline
p-value & (0.0102) & (0.0037) & (0.0187) \tabularnewline
PSln;wbln & -0.3719 & -0.4158 & -0.2597 \tabularnewline
p-value & (0.0085) & (0.003) & (0.0092) \tabularnewline
PSln;wbrln & -0.3151 & -0.5115 & -0.3135 \tabularnewline
p-value & (0.0275) & (2e-04) & (0.0017) \tabularnewline
PSln;tgln & -0.6594 & -0.6579 & -0.4644 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PSln;P & -0.5586 & -0.5349 & -0.397 \tabularnewline
p-value & (0) & (1e-04) & (2e-04) \tabularnewline
PSln;S & -0.6473 & -0.6788 & -0.5299 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PSln;D
 & -0.6903 & -0.67 & -0.5195 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Lln;wbln & 0.6967 & 0.7241 & 0.5506 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Lln;wbrln & 0.6307 & 0.8162 & 0.6663 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Lln;tgln & 0.6607 & 0.6732 & 0.4875 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Lln;P & -0.0512 & -0.0561 & -0.0562 \tabularnewline
p-value & (0.7028) & (0.6757) & (0.568) \tabularnewline
Lln;S & 0.5217 & 0.5333 & 0.3992 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
Lln;D
 & 0.1552 & 0.1249 & 0.0845 \tabularnewline
p-value & (0.2446) & (0.3502) & (0.3918) \tabularnewline
wbln;wbrln & 0.8287 & 0.9528 & 0.8325 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
wbln;tgln & 0.6208 & 0.7283 & 0.5442 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
wbln;P & 0.07 & 0.0938 & 0.0591 \tabularnewline
p-value & (0.5889) & (0.4684) & (0.5333) \tabularnewline
wbln;S & 0.5582 & 0.5711 & 0.4554 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
wbln;D
 & 0.2646 & 0.251 & 0.1721 \tabularnewline
p-value & (0.0377) & (0.0491) & (0.07) \tabularnewline
wbrln;tgln & 0.6552 & 0.8058 & 0.6085 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
wbrln;P & 0.0402 & 0.0722 & 0.0384 \tabularnewline
p-value & (0.7561) & (0.577) & (0.6855) \tabularnewline
wbrln;S & 0.5172 & 0.6001 & 0.4832 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
wbrln;D
 & 0.2061 & 0.2529 & 0.1753 \tabularnewline
p-value & (0.1081) & (0.0474) & (0.0653) \tabularnewline
tgln;P & 0.1554 & 0.1231 & 0.0758 \tabularnewline
p-value & (0.2441) & (0.3574) & (0.4409) \tabularnewline
tgln;S & 0.6283 & 0.6114 & 0.4945 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
tgln;D
 & 0.3625 & 0.3225 & 0.2285 \tabularnewline
p-value & (0.0052) & (0.0136) & (0.0203) \tabularnewline
P;S & 0.6182 & 0.5669 & 0.4693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;D
 & 0.916 & 0.918 & 0.8563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
S;D
 & 0.7872 & 0.7181 & 0.6277 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113176&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]SWS;PSln[/C][C]0.5687[/C][C]0.5699[/C][C]0.4049[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]SWS;Lln[/C][C]-0.3665[/C][C]-0.4141[/C][C]-0.2886[/C][/ROW]
[ROW][C]p-value[/C][C](0.0133)[/C][C](0.0047)[/C][C](0.0056)[/C][/ROW]
[ROW][C]SWS;wbln[/C][C]-0.5143[/C][C]-0.5051[/C][C]-0.3619[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]SWS;wbrln[/C][C]-0.5501[/C][C]-0.5295[/C][C]-0.3857[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]SWS;tgln[/C][C]-0.564[/C][C]-0.5998[/C][C]-0.4416[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.3182[/C][C]-0.2496[/C][C]-0.1882[/C][/ROW]
[ROW][C]p-value[/C][C](0.0275)[/C][C](0.0871)[/C][C](0.0832)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.5438[/C][C]-0.501[/C][C]-0.3899[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](3e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]SWS;D
[/C][C]-0.4839[/C][C]-0.4085[/C][C]-0.3195[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0.0039)[/C][C](0.0034)[/C][/ROW]
[ROW][C]PSln;Lln[/C][C]-0.3753[/C][C]-0.4195[/C][C]-0.2435[/C][/ROW]
[ROW][C]p-value[/C][C](0.0102)[/C][C](0.0037)[/C][C](0.0187)[/C][/ROW]
[ROW][C]PSln;wbln[/C][C]-0.3719[/C][C]-0.4158[/C][C]-0.2597[/C][/ROW]
[ROW][C]p-value[/C][C](0.0085)[/C][C](0.003)[/C][C](0.0092)[/C][/ROW]
[ROW][C]PSln;wbrln[/C][C]-0.3151[/C][C]-0.5115[/C][C]-0.3135[/C][/ROW]
[ROW][C]p-value[/C][C](0.0275)[/C][C](2e-04)[/C][C](0.0017)[/C][/ROW]
[ROW][C]PSln;tgln[/C][C]-0.6594[/C][C]-0.6579[/C][C]-0.4644[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PSln;P[/C][C]-0.5586[/C][C]-0.5349[/C][C]-0.397[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]PSln;S[/C][C]-0.6473[/C][C]-0.6788[/C][C]-0.5299[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PSln;D
[/C][C]-0.6903[/C][C]-0.67[/C][C]-0.5195[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Lln;wbln[/C][C]0.6967[/C][C]0.7241[/C][C]0.5506[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Lln;wbrln[/C][C]0.6307[/C][C]0.8162[/C][C]0.6663[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Lln;tgln[/C][C]0.6607[/C][C]0.6732[/C][C]0.4875[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Lln;P[/C][C]-0.0512[/C][C]-0.0561[/C][C]-0.0562[/C][/ROW]
[ROW][C]p-value[/C][C](0.7028)[/C][C](0.6757)[/C][C](0.568)[/C][/ROW]
[ROW][C]Lln;S[/C][C]0.5217[/C][C]0.5333[/C][C]0.3992[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Lln;D
[/C][C]0.1552[/C][C]0.1249[/C][C]0.0845[/C][/ROW]
[ROW][C]p-value[/C][C](0.2446)[/C][C](0.3502)[/C][C](0.3918)[/C][/ROW]
[ROW][C]wbln;wbrln[/C][C]0.8287[/C][C]0.9528[/C][C]0.8325[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]wbln;tgln[/C][C]0.6208[/C][C]0.7283[/C][C]0.5442[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]wbln;P[/C][C]0.07[/C][C]0.0938[/C][C]0.0591[/C][/ROW]
[ROW][C]p-value[/C][C](0.5889)[/C][C](0.4684)[/C][C](0.5333)[/C][/ROW]
[ROW][C]wbln;S[/C][C]0.5582[/C][C]0.5711[/C][C]0.4554[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]wbln;D
[/C][C]0.2646[/C][C]0.251[/C][C]0.1721[/C][/ROW]
[ROW][C]p-value[/C][C](0.0377)[/C][C](0.0491)[/C][C](0.07)[/C][/ROW]
[ROW][C]wbrln;tgln[/C][C]0.6552[/C][C]0.8058[/C][C]0.6085[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]wbrln;P[/C][C]0.0402[/C][C]0.0722[/C][C]0.0384[/C][/ROW]
[ROW][C]p-value[/C][C](0.7561)[/C][C](0.577)[/C][C](0.6855)[/C][/ROW]
[ROW][C]wbrln;S[/C][C]0.5172[/C][C]0.6001[/C][C]0.4832[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]wbrln;D
[/C][C]0.2061[/C][C]0.2529[/C][C]0.1753[/C][/ROW]
[ROW][C]p-value[/C][C](0.1081)[/C][C](0.0474)[/C][C](0.0653)[/C][/ROW]
[ROW][C]tgln;P[/C][C]0.1554[/C][C]0.1231[/C][C]0.0758[/C][/ROW]
[ROW][C]p-value[/C][C](0.2441)[/C][C](0.3574)[/C][C](0.4409)[/C][/ROW]
[ROW][C]tgln;S[/C][C]0.6283[/C][C]0.6114[/C][C]0.4945[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tgln;D
[/C][C]0.3625[/C][C]0.3225[/C][C]0.2285[/C][/ROW]
[ROW][C]p-value[/C][C](0.0052)[/C][C](0.0136)[/C][C](0.0203)[/C][/ROW]
[ROW][C]P;S[/C][C]0.6182[/C][C]0.5669[/C][C]0.4693[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;D
[/C][C]0.916[/C][C]0.918[/C][C]0.8563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]S;D
[/C][C]0.7872[/C][C]0.7181[/C][C]0.6277[/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=113176&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113176&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
SWS;PSln	0.5687	0.5699	0.4049
p-value	(0)	(0)	(1e-04)
SWS;Lln	-0.3665	-0.4141	-0.2886
p-value	(0.0133)	(0.0047)	(0.0056)
SWS;wbln	-0.5143	-0.5051	-0.3619
p-value	(2e-04)	(3e-04)	(3e-04)
SWS;wbrln	-0.5501	-0.5295	-0.3857
p-value	(1e-04)	(1e-04)	(1e-04)
SWS;tgln	-0.564	-0.5998	-0.4416
p-value	(1e-04)	(0)	(0)
SWS;P	-0.3182	-0.2496	-0.1882
p-value	(0.0275)	(0.0871)	(0.0832)
SWS;S	-0.5438	-0.501	-0.3899
p-value	(1e-04)	(3e-04)	(5e-04)
SWS;D	-0.4839	-0.4085	-0.3195
p-value	(5e-04)	(0.0039)	(0.0034)
PSln;Lln	-0.3753	-0.4195	-0.2435
p-value	(0.0102)	(0.0037)	(0.0187)
PSln;wbln	-0.3719	-0.4158	-0.2597
p-value	(0.0085)	(0.003)	(0.0092)
PSln;wbrln	-0.3151	-0.5115	-0.3135
p-value	(0.0275)	(2e-04)	(0.0017)
PSln;tgln	-0.6594	-0.6579	-0.4644
p-value	(0)	(0)	(0)
PSln;P	-0.5586	-0.5349	-0.397
p-value	(0)	(1e-04)	(2e-04)
PSln;S	-0.6473	-0.6788	-0.5299
p-value	(0)	(0)	(0)
PSln;D	-0.6903	-0.67	-0.5195
p-value	(0)	(0)	(0)
Lln;wbln	0.6967	0.7241	0.5506
p-value	(0)	(0)	(0)
Lln;wbrln	0.6307	0.8162	0.6663
p-value	(0)	(0)	(0)
Lln;tgln	0.6607	0.6732	0.4875
p-value	(0)	(0)	(0)
Lln;P	-0.0512	-0.0561	-0.0562
p-value	(0.7028)	(0.6757)	(0.568)
Lln;S	0.5217	0.5333	0.3992
p-value	(0)	(0)	(1e-04)
Lln;D	0.1552	0.1249	0.0845
p-value	(0.2446)	(0.3502)	(0.3918)
wbln;wbrln	0.8287	0.9528	0.8325
p-value	(0)	(0)	(0)
wbln;tgln	0.6208	0.7283	0.5442
p-value	(0)	(0)	(0)
wbln;P	0.07	0.0938	0.0591
p-value	(0.5889)	(0.4684)	(0.5333)
wbln;S	0.5582	0.5711	0.4554
p-value	(0)	(0)	(0)
wbln;D	0.2646	0.251	0.1721
p-value	(0.0377)	(0.0491)	(0.07)
wbrln;tgln	0.6552	0.8058	0.6085
p-value	(0)	(0)	(0)
wbrln;P	0.0402	0.0722	0.0384
p-value	(0.7561)	(0.577)	(0.6855)
wbrln;S	0.5172	0.6001	0.4832
p-value	(0)	(0)	(0)
wbrln;D	0.2061	0.2529	0.1753
p-value	(0.1081)	(0.0474)	(0.0653)
tgln;P	0.1554	0.1231	0.0758
p-value	(0.2441)	(0.3574)	(0.4409)
tgln;S	0.6283	0.6114	0.4945
p-value	(0)	(0)	(0)
tgln;D	0.3625	0.3225	0.2285
p-value	(0.0052)	(0.0136)	(0.0203)
P;S	0.6182	0.5669	0.4693
p-value	(0)	(0)	(0)
P;D	0.916	0.918	0.8563
p-value	(0)	(0)	(0)
S;D	0.7872	0.7181	0.6277
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