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Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 14 Dec 2010 20:15:39 +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/14/t12923576628ci9duvdzsc87d1.htm/, Retrieved Thu, 02 May 2024 23:38:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110133, Retrieved Thu, 02 May 2024 23:38:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
-   PD  [Kendall tau Correlation Matrix] [WS10] [2010-12-12 14:43:38] [87116ee6ef949037dfa02b8eb1a3bf97]
-    D      [Kendall tau Correlation Matrix] [] [2010-12-14 20:15:39] [66b4703b90a9701067ac75b10c82aca9] [Current]
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Dataseries X:
6,30	0,30103	0,65321	0,00000	0,81954	1,62325	3	1	3
2,10	0,25527	1,83885	3,40603	3,66304	2,79518	3	5	4
9,10	-0,15490	1,43136	1,02325	2,25406	2,25527	4	4	4
15,80	0,59106	1,27875	-1,63827	-0,52288	1,54407	1	1	1
5,20	0,00000	1,48287	2,20412	2,22789	2,59329	4	5	4
10,90	0,55630	1,44716	0,51851	1,40824	1,79934	1	2	1
8,30	0,14613	1,69897	1,71734	2,64345	2,36173	1	1	1
11,00	0,17609	0,84510	-0,37161	0,80618	2,04922	5	4	4
3,20	-0,15490	1,47712	2,66745	2,62634	2,44871	5	5	5
6,30	0,32222	0,54407	-1,12494	0,07918	1,62325	1	1	1
6,60	0,61278	0,77815	-0,10513	0,54407	1,62325	2	2	2
9,50	0,07918	1,01703	-0,69897	0,69897	2,07918	2	2	2
3,30	-0,30103	1,30103	1,44185	2,06070	2,17026	5	5	5
11,00	0,53148	0,59106	-0,92082	0,00000	1,20412	3	1	2
4,70	0,17609	1,61278	1,92942	2,51188	2,49136	1	3	1
10,40	0,53148	0,95424	-0,99568	0,60206	1,44716	5	1	3
7,40	-0,09691	0,88081	0,01703	0,74036	1,83251	5	3	4
2,10	-0,09691	1,66276	2,71684	2,81624	2,52634	5	5	5
17,90	0,30103	1,38021	-2,00000	-0,60206	1,69897	1	1	1
6,10	0,27875	2,00000	1,79239	3,12057	2,42651	1	1	1
11,90	0,11394	0,50515	-1,63827	-0,39794	1,27875	4	1	3
13,80	0,74819	0,69897	0,23045	0,79934	1,07918	2	1	1
14,30	0,49136	0,81291	0,54407	1,03342	2,07918	2	1	1
15,20	0,25527	1,07918	-0,31876	1,19033	2,14613	2	2	2
10,00	-0,04576	1,30535	1,00000	2,06070	2,23045	4	4	4
11,90	0,25527	1,11394	0,20952	1,05690	1,23045	2	1	2
6,50	0,27875	1,43136	2,28330	2,25527	2,06070	4	4	4
7,50	-0,04576	1,25527	0,39794	1,08279	1,49136	5	5	5
10,60	0,41497	0,67210	-0,55284	0,27875	1,32222	3	1	3
7,40	0,38021	0,99123	0,62685	1,70243	1,71600	1	1	1
8,40	0,07918	1,46240	0,83251	2,25285	2,21484	2	3	2
5,70	-0,04576	0,84510	-0,12494	1,08991	2,35218	2	2	2
4,90	-0,30103	0,77815	0,55630	1,32222	2,35218	3	2	3
3,20	-0,22185	1,30103	1,74429	2,24304	2,17898	5	5	5
11,00	0,36173	0,65321	-0,04576	0,41497	1,77815	2	1	2
4,90	-0,30103	0,87506	0,30103	1,08991	2,30103	3	1	3
13,20	0,41497	0,36173	-0,98297	0,39794	1,66276	3	2	2
9,70	-0,22185	1,38021	0,62221	1,76343	2,32222	4	3	4
12,80	0,81954	0,47712	0,54407	0,59106	1,14613	2	1	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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=110133&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=110133&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110133&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Correlations for all pairs of data series (method=pearson)
SWSPSLWbWbrTgPSD
SWS10.582-0.378-0.712-0.679-0.601-0.369-0.58-0.542
PS0.5821-0.346-0.372-0.438-0.646-0.534-0.591-0.684
L-0.378-0.34610.6850.7770.6790.0190.5190.227
Wb-0.712-0.3720.68510.9450.6950.2530.6620.432
Wbr-0.679-0.4380.7770.94510.7770.1920.6240.377
Tg-0.601-0.6460.6790.6950.77710.1480.580.353
P-0.369-0.5340.0190.2530.1920.14810.680.93
S-0.58-0.5910.5190.6620.6240.580.6810.819
D-0.542-0.6840.2270.4320.3770.3530.930.8191

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & SWS & PS & L & Wb & Wbr & Tg & P & S & D \tabularnewline
SWS & 1 & 0.582 & -0.378 & -0.712 & -0.679 & -0.601 & -0.369 & -0.58 & -0.542 \tabularnewline
PS & 0.582 & 1 & -0.346 & -0.372 & -0.438 & -0.646 & -0.534 & -0.591 & -0.684 \tabularnewline
L & -0.378 & -0.346 & 1 & 0.685 & 0.777 & 0.679 & 0.019 & 0.519 & 0.227 \tabularnewline
Wb & -0.712 & -0.372 & 0.685 & 1 & 0.945 & 0.695 & 0.253 & 0.662 & 0.432 \tabularnewline
Wbr & -0.679 & -0.438 & 0.777 & 0.945 & 1 & 0.777 & 0.192 & 0.624 & 0.377 \tabularnewline
Tg & -0.601 & -0.646 & 0.679 & 0.695 & 0.777 & 1 & 0.148 & 0.58 & 0.353 \tabularnewline
P & -0.369 & -0.534 & 0.019 & 0.253 & 0.192 & 0.148 & 1 & 0.68 & 0.93 \tabularnewline
S & -0.58 & -0.591 & 0.519 & 0.662 & 0.624 & 0.58 & 0.68 & 1 & 0.819 \tabularnewline
D & -0.542 & -0.684 & 0.227 & 0.432 & 0.377 & 0.353 & 0.93 & 0.819 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110133&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]SWS[/C][C]PS[/C][C]L[/C][C]Wb[/C][C]Wbr[/C][C]Tg[/C][C]P[/C][C]S[/C][C]D[/C][/ROW]
[ROW][C]SWS[/C][C]1[/C][C]0.582[/C][C]-0.378[/C][C]-0.712[/C][C]-0.679[/C][C]-0.601[/C][C]-0.369[/C][C]-0.58[/C][C]-0.542[/C][/ROW]
[ROW][C]PS[/C][C]0.582[/C][C]1[/C][C]-0.346[/C][C]-0.372[/C][C]-0.438[/C][C]-0.646[/C][C]-0.534[/C][C]-0.591[/C][C]-0.684[/C][/ROW]
[ROW][C]L[/C][C]-0.378[/C][C]-0.346[/C][C]1[/C][C]0.685[/C][C]0.777[/C][C]0.679[/C][C]0.019[/C][C]0.519[/C][C]0.227[/C][/ROW]
[ROW][C]Wb[/C][C]-0.712[/C][C]-0.372[/C][C]0.685[/C][C]1[/C][C]0.945[/C][C]0.695[/C][C]0.253[/C][C]0.662[/C][C]0.432[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.679[/C][C]-0.438[/C][C]0.777[/C][C]0.945[/C][C]1[/C][C]0.777[/C][C]0.192[/C][C]0.624[/C][C]0.377[/C][/ROW]
[ROW][C]Tg[/C][C]-0.601[/C][C]-0.646[/C][C]0.679[/C][C]0.695[/C][C]0.777[/C][C]1[/C][C]0.148[/C][C]0.58[/C][C]0.353[/C][/ROW]
[ROW][C]P[/C][C]-0.369[/C][C]-0.534[/C][C]0.019[/C][C]0.253[/C][C]0.192[/C][C]0.148[/C][C]1[/C][C]0.68[/C][C]0.93[/C][/ROW]
[ROW][C]S[/C][C]-0.58[/C][C]-0.591[/C][C]0.519[/C][C]0.662[/C][C]0.624[/C][C]0.58[/C][C]0.68[/C][C]1[/C][C]0.819[/C][/ROW]
[ROW][C]D[/C][C]-0.542[/C][C]-0.684[/C][C]0.227[/C][C]0.432[/C][C]0.377[/C][C]0.353[/C][C]0.93[/C][C]0.819[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110133&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110133&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)
SWSPSLWbWbrTgPSD
SWS10.582-0.378-0.712-0.679-0.601-0.369-0.58-0.542
PS0.5821-0.346-0.372-0.438-0.646-0.534-0.591-0.684
L-0.378-0.34610.6850.7770.6790.0190.5190.227
Wb-0.712-0.3720.68510.9450.6950.2530.6620.432
Wbr-0.679-0.4380.7770.94510.7770.1920.6240.377
Tg-0.601-0.6460.6790.6950.77710.1480.580.353
P-0.369-0.5340.0190.2530.1920.14810.680.93
S-0.58-0.5910.5190.6620.6240.580.6810.819
D-0.542-0.6840.2270.4320.3770.3530.930.8191







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
SWS;PS0.58160.59180.4165
p-value(1e-04)(1e-04)(2e-04)
SWS;L-0.3777-0.4282-0.2999
p-value(0.0178)(0.0065)(0.0077)
SWS;Wb-0.7116-0.6585-0.4813
p-value(0)(0)(0)
SWS;Wbr-0.679-0.6599-0.4922
p-value(0)(0)(0)
SWS;Tg-0.6014-0.6623-0.485
p-value(1e-04)(0)(0)
SWS;P-0.3689-0.3119-0.2421
p-value(0.0208)(0.0533)(0.0458)
SWS;S-0.5795-0.5491-0.4299
p-value(1e-04)(3e-04)(5e-04)
SWS;D-0.5422-0.4905-0.3888
p-value(4e-04)(0.0015)(0.0014)
PS;L-0.3459-0.3893-0.2373
p-value(0.031)(0.0143)(0.036)
PS;Wb-0.3719-0.4395-0.2777
p-value(0.0197)(0.0051)(0.0139)
PS;Wbr-0.4378-0.5242-0.3242
p-value(0.0053)(6e-04)(0.0041)
PS;Tg-0.6455-0.6521-0.4606
p-value(0)(0)(0)
PS;P-0.5341-0.5339-0.3919
p-value(5e-04)(5e-04)(0.0013)
PS;S-0.5914-0.6156-0.4706
p-value(1e-04)(0)(1e-04)
PS;D-0.6844-0.6808-0.5266
p-value(0)(0)(0)
L;Wb0.68480.70630.5251
p-value(0)(0)(0)
L;Wbr0.77660.80330.6499
p-value(0)(0)(0)
L;Tg0.67920.71150.533
p-value(0)(0)(0)
L;P0.01950.0122-0.006
p-value(0.9064)(0.9412)(0.9604)
L;S0.51870.52420.4101
p-value(7e-04)(6e-04)(9e-04)
L;D0.22740.20720.1615
p-value(0.1638)(0.2057)(0.1831)
Wb;Wbr0.94460.92840.7916
p-value(0)(0)(0)
Wb;Tg0.69490.70950.5207
p-value(0)(0)(0)
Wb;P0.25290.21470.1602
p-value(0.1204)(0.1893)(0.1846)
Wb;S0.66240.59540.4811
p-value(0)(1e-04)(1e-04)
Wb;D0.43210.36150.274
p-value(0.006)(0.0238)(0.0236)
Wbr;Tg0.77750.80820.5993
p-value(0)(0)(0)
Wbr;P0.19170.16750.1257
p-value(0.2424)(0.3082)(0.2976)
Wbr;S0.62360.59760.4905
p-value(0)(1e-04)(1e-04)
Wbr;D0.37680.34140.2695
p-value(0.0181)(0.0334)(0.026)
Tg;P0.14810.11620.075
p-value(0.3682)(0.4813)(0.5352)
Tg;S0.58020.57710.4617
p-value(1e-04)(1e-04)(2e-04)
Tg;D0.35340.31150.2293
p-value(0.0273)(0.0535)(0.0586)
P;S0.680.61860.5218
p-value(0)(0)(1e-04)
P;D0.93030.93280.876
p-value(0)(0)(0)
S;D0.81920.75330.6591
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;PS & 0.5816 & 0.5918 & 0.4165 \tabularnewline
p-value & (1e-04) & (1e-04) & (2e-04) \tabularnewline
SWS;L & -0.3777 & -0.4282 & -0.2999 \tabularnewline
p-value & (0.0178) & (0.0065) & (0.0077) \tabularnewline
SWS;Wb & -0.7116 & -0.6585 & -0.4813 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;Wbr & -0.679 & -0.6599 & -0.4922 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;Tg & -0.6014 & -0.6623 & -0.485 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
SWS;P & -0.3689 & -0.3119 & -0.2421 \tabularnewline
p-value & (0.0208) & (0.0533) & (0.0458) \tabularnewline
SWS;S & -0.5795 & -0.5491 & -0.4299 \tabularnewline
p-value & (1e-04) & (3e-04) & (5e-04) \tabularnewline
SWS;D & -0.5422 & -0.4905 & -0.3888 \tabularnewline
p-value & (4e-04) & (0.0015) & (0.0014) \tabularnewline
PS;L & -0.3459 & -0.3893 & -0.2373 \tabularnewline
p-value & (0.031) & (0.0143) & (0.036) \tabularnewline
PS;Wb & -0.3719 & -0.4395 & -0.2777 \tabularnewline
p-value & (0.0197) & (0.0051) & (0.0139) \tabularnewline
PS;Wbr & -0.4378 & -0.5242 & -0.3242 \tabularnewline
p-value & (0.0053) & (6e-04) & (0.0041) \tabularnewline
PS;Tg & -0.6455 & -0.6521 & -0.4606 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PS;P & -0.5341 & -0.5339 & -0.3919 \tabularnewline
p-value & (5e-04) & (5e-04) & (0.0013) \tabularnewline
PS;S & -0.5914 & -0.6156 & -0.4706 \tabularnewline
p-value & (1e-04) & (0) & (1e-04) \tabularnewline
PS;D & -0.6844 & -0.6808 & -0.5266 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Wb & 0.6848 & 0.7063 & 0.5251 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Wbr & 0.7766 & 0.8033 & 0.6499 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Tg & 0.6792 & 0.7115 & 0.533 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;P & 0.0195 & 0.0122 & -0.006 \tabularnewline
p-value & (0.9064) & (0.9412) & (0.9604) \tabularnewline
L;S & 0.5187 & 0.5242 & 0.4101 \tabularnewline
p-value & (7e-04) & (6e-04) & (9e-04) \tabularnewline
L;D & 0.2274 & 0.2072 & 0.1615 \tabularnewline
p-value & (0.1638) & (0.2057) & (0.1831) \tabularnewline
Wb;Wbr & 0.9446 & 0.9284 & 0.7916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;Tg & 0.6949 & 0.7095 & 0.5207 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;P & 0.2529 & 0.2147 & 0.1602 \tabularnewline
p-value & (0.1204) & (0.1893) & (0.1846) \tabularnewline
Wb;S & 0.6624 & 0.5954 & 0.4811 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Wb;D & 0.4321 & 0.3615 & 0.274 \tabularnewline
p-value & (0.006) & (0.0238) & (0.0236) \tabularnewline
Wbr;Tg & 0.7775 & 0.8082 & 0.5993 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wbr;P & 0.1917 & 0.1675 & 0.1257 \tabularnewline
p-value & (0.2424) & (0.3082) & (0.2976) \tabularnewline
Wbr;S & 0.6236 & 0.5976 & 0.4905 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Wbr;D & 0.3768 & 0.3414 & 0.2695 \tabularnewline
p-value & (0.0181) & (0.0334) & (0.026) \tabularnewline
Tg;P & 0.1481 & 0.1162 & 0.075 \tabularnewline
p-value & (0.3682) & (0.4813) & (0.5352) \tabularnewline
Tg;S & 0.5802 & 0.5771 & 0.4617 \tabularnewline
p-value & (1e-04) & (1e-04) & (2e-04) \tabularnewline
Tg;D & 0.3534 & 0.3115 & 0.2293 \tabularnewline
p-value & (0.0273) & (0.0535) & (0.0586) \tabularnewline
P;S & 0.68 & 0.6186 & 0.5218 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
P;D & 0.9303 & 0.9328 & 0.876 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
S;D & 0.8192 & 0.7533 & 0.6591 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110133&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;PS[/C][C]0.5816[/C][C]0.5918[/C][C]0.4165[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SWS;L[/C][C]-0.3777[/C][C]-0.4282[/C][C]-0.2999[/C][/ROW]
[ROW][C]p-value[/C][C](0.0178)[/C][C](0.0065)[/C][C](0.0077)[/C][/ROW]
[ROW][C]SWS;Wb[/C][C]-0.7116[/C][C]-0.6585[/C][C]-0.4813[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Wbr[/C][C]-0.679[/C][C]-0.6599[/C][C]-0.4922[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Tg[/C][C]-0.6014[/C][C]-0.6623[/C][C]-0.485[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.3689[/C][C]-0.3119[/C][C]-0.2421[/C][/ROW]
[ROW][C]p-value[/C][C](0.0208)[/C][C](0.0533)[/C][C](0.0458)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.5795[/C][C]-0.5491[/C][C]-0.4299[/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]-0.5422[/C][C]-0.4905[/C][C]-0.3888[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0.0015)[/C][C](0.0014)[/C][/ROW]
[ROW][C]PS;L[/C][C]-0.3459[/C][C]-0.3893[/C][C]-0.2373[/C][/ROW]
[ROW][C]p-value[/C][C](0.031)[/C][C](0.0143)[/C][C](0.036)[/C][/ROW]
[ROW][C]PS;Wb[/C][C]-0.3719[/C][C]-0.4395[/C][C]-0.2777[/C][/ROW]
[ROW][C]p-value[/C][C](0.0197)[/C][C](0.0051)[/C][C](0.0139)[/C][/ROW]
[ROW][C]PS;Wbr[/C][C]-0.4378[/C][C]-0.5242[/C][C]-0.3242[/C][/ROW]
[ROW][C]p-value[/C][C](0.0053)[/C][C](6e-04)[/C][C](0.0041)[/C][/ROW]
[ROW][C]PS;Tg[/C][C]-0.6455[/C][C]-0.6521[/C][C]-0.4606[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;P[/C][C]-0.5341[/C][C]-0.5339[/C][C]-0.3919[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](5e-04)[/C][C](0.0013)[/C][/ROW]
[ROW][C]PS;S[/C][C]-0.5914[/C][C]-0.6156[/C][C]-0.4706[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PS;D[/C][C]-0.6844[/C][C]-0.6808[/C][C]-0.5266[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wb[/C][C]0.6848[/C][C]0.7063[/C][C]0.5251[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wbr[/C][C]0.7766[/C][C]0.8033[/C][C]0.6499[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Tg[/C][C]0.6792[/C][C]0.7115[/C][C]0.533[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;P[/C][C]0.0195[/C][C]0.0122[/C][C]-0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.9064)[/C][C](0.9412)[/C][C](0.9604)[/C][/ROW]
[ROW][C]L;S[/C][C]0.5187[/C][C]0.5242[/C][C]0.4101[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](6e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]L;D[/C][C]0.2274[/C][C]0.2072[/C][C]0.1615[/C][/ROW]
[ROW][C]p-value[/C][C](0.1638)[/C][C](0.2057)[/C][C](0.1831)[/C][/ROW]
[ROW][C]Wb;Wbr[/C][C]0.9446[/C][C]0.9284[/C][C]0.7916[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;Tg[/C][C]0.6949[/C][C]0.7095[/C][C]0.5207[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;P[/C][C]0.2529[/C][C]0.2147[/C][C]0.1602[/C][/ROW]
[ROW][C]p-value[/C][C](0.1204)[/C][C](0.1893)[/C][C](0.1846)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.6624[/C][C]0.5954[/C][C]0.4811[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Wb;D[/C][C]0.4321[/C][C]0.3615[/C][C]0.274[/C][/ROW]
[ROW][C]p-value[/C][C](0.006)[/C][C](0.0238)[/C][C](0.0236)[/C][/ROW]
[ROW][C]Wbr;Tg[/C][C]0.7775[/C][C]0.8082[/C][C]0.5993[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;P[/C][C]0.1917[/C][C]0.1675[/C][C]0.1257[/C][/ROW]
[ROW][C]p-value[/C][C](0.2424)[/C][C](0.3082)[/C][C](0.2976)[/C][/ROW]
[ROW][C]Wbr;S[/C][C]0.6236[/C][C]0.5976[/C][C]0.4905[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Wbr;D[/C][C]0.3768[/C][C]0.3414[/C][C]0.2695[/C][/ROW]
[ROW][C]p-value[/C][C](0.0181)[/C][C](0.0334)[/C][C](0.026)[/C][/ROW]
[ROW][C]Tg;P[/C][C]0.1481[/C][C]0.1162[/C][C]0.075[/C][/ROW]
[ROW][C]p-value[/C][C](0.3682)[/C][C](0.4813)[/C][C](0.5352)[/C][/ROW]
[ROW][C]Tg;S[/C][C]0.5802[/C][C]0.5771[/C][C]0.4617[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]Tg;D[/C][C]0.3534[/C][C]0.3115[/C][C]0.2293[/C][/ROW]
[ROW][C]p-value[/C][C](0.0273)[/C][C](0.0535)[/C][C](0.0586)[/C][/ROW]
[ROW][C]P;S[/C][C]0.68[/C][C]0.6186[/C][C]0.5218[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]P;D[/C][C]0.9303[/C][C]0.9328[/C][C]0.876[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]S;D[/C][C]0.8192[/C][C]0.7533[/C][C]0.6591[/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=110133&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110133&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
SWS;PS0.58160.59180.4165
p-value(1e-04)(1e-04)(2e-04)
SWS;L-0.3777-0.4282-0.2999
p-value(0.0178)(0.0065)(0.0077)
SWS;Wb-0.7116-0.6585-0.4813
p-value(0)(0)(0)
SWS;Wbr-0.679-0.6599-0.4922
p-value(0)(0)(0)
SWS;Tg-0.6014-0.6623-0.485
p-value(1e-04)(0)(0)
SWS;P-0.3689-0.3119-0.2421
p-value(0.0208)(0.0533)(0.0458)
SWS;S-0.5795-0.5491-0.4299
p-value(1e-04)(3e-04)(5e-04)
SWS;D-0.5422-0.4905-0.3888
p-value(4e-04)(0.0015)(0.0014)
PS;L-0.3459-0.3893-0.2373
p-value(0.031)(0.0143)(0.036)
PS;Wb-0.3719-0.4395-0.2777
p-value(0.0197)(0.0051)(0.0139)
PS;Wbr-0.4378-0.5242-0.3242
p-value(0.0053)(6e-04)(0.0041)
PS;Tg-0.6455-0.6521-0.4606
p-value(0)(0)(0)
PS;P-0.5341-0.5339-0.3919
p-value(5e-04)(5e-04)(0.0013)
PS;S-0.5914-0.6156-0.4706
p-value(1e-04)(0)(1e-04)
PS;D-0.6844-0.6808-0.5266
p-value(0)(0)(0)
L;Wb0.68480.70630.5251
p-value(0)(0)(0)
L;Wbr0.77660.80330.6499
p-value(0)(0)(0)
L;Tg0.67920.71150.533
p-value(0)(0)(0)
L;P0.01950.0122-0.006
p-value(0.9064)(0.9412)(0.9604)
L;S0.51870.52420.4101
p-value(7e-04)(6e-04)(9e-04)
L;D0.22740.20720.1615
p-value(0.1638)(0.2057)(0.1831)
Wb;Wbr0.94460.92840.7916
p-value(0)(0)(0)
Wb;Tg0.69490.70950.5207
p-value(0)(0)(0)
Wb;P0.25290.21470.1602
p-value(0.1204)(0.1893)(0.1846)
Wb;S0.66240.59540.4811
p-value(0)(1e-04)(1e-04)
Wb;D0.43210.36150.274
p-value(0.006)(0.0238)(0.0236)
Wbr;Tg0.77750.80820.5993
p-value(0)(0)(0)
Wbr;P0.19170.16750.1257
p-value(0.2424)(0.3082)(0.2976)
Wbr;S0.62360.59760.4905
p-value(0)(1e-04)(1e-04)
Wbr;D0.37680.34140.2695
p-value(0.0181)(0.0334)(0.026)
Tg;P0.14810.11620.075
p-value(0.3682)(0.4813)(0.5352)
Tg;S0.58020.57710.4617
p-value(1e-04)(1e-04)(2e-04)
Tg;D0.35340.31150.2293
p-value(0.0273)(0.0535)(0.0586)
P;S0.680.61860.5218
p-value(0)(0)(1e-04)
P;D0.93030.93280.876
p-value(0)(0)(0)
S;D0.81920.75330.6591
p-value(0)(0)(0)



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')