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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 computationMon, 13 Dec 2010 19:37:37 +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/13/t1292268941hm32nq939fdjn1k.htm/, Retrieved Tue, 07 May 2024 01:21:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109109, Retrieved Tue, 07 May 2024 01:21:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
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]
F   PD  [Kendall tau Correlation Matrix] [Workshop 10 - Ken...] [2010-12-10 12:29:09] [6f0e7a2d1a07390e3505a2db8288f975]
-    D      [Kendall tau Correlation Matrix] [Bonus - Pearson C...] [2010-12-13 19:37:37] [708f372e2a7a3c78ea31b4de2d1213f8] [Current]
-    D        [Kendall tau Correlation Matrix] [Bonus - Pearson C...] [2010-12-13 20:35:37] [6f0e7a2d1a07390e3505a2db8288f975]
- RM D        [Multiple Regression] [Bonus - Multiple ...] [2010-12-13 20:43:53] [6f0e7a2d1a07390e3505a2db8288f975]
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Dataseries X:
6,30	2,00	4,50	0,000	0,82	1,62	3	1	3
2,10	1,80	69,00	3,406	3,66	2,80	3	5	4
9,10	0,70	27,00	1,023	2,25	2,26	4	4	4
15,80	3,90	19,00	-4,638	-3,52	1,54	1	1	1
5,20	1,00	30,40	2,204	2,23	2,59	4	5	4
10,90	3,60	28,00	0,519	1,41	1,80	1	2	1
8,30	1,40	50,00	1,717	2,64	2,36	1	1	1
11,00	1,50	7,00	-3,372	0,81	2,05	5	4	4
3,20	0,70	30,00	2,667	2,63	2,45	5	5	5
6,30	2,10	3,50	-4,125	0,08	1,62	1	1	1
8,60	0,00	50,00	0,477	1,40	1,45	2	2	2
6,60	4,10	6,00	-3,105	0,54	1,62	2	2	2
9,50	1,20	10,40	-3,699	0,70	2,08	2	2	2
3,30	0,50	20,00	1,442	2,06	2,17	5	5	5
11,00	3,40	3,90	-3,921	0,00	1,20	3	1	2
4,70	1,50	41,00	1,929	2,51	2,49	1	3	1
10,40	3,40	9,00	-3,996	0,60	1,45	5	1	3
7,40	0,80	7,60	0,017	0,74	1,83	5	3	4
2,10	0,80	46,00	2,717	2,82	2,53	5	5	5
7,70	1,40	2,60	-5,301	-3,85	1,33	5	2	4
17,90	2,00	24,00	-5,000	-3,60	1,70	1	1	1
6,10	1,90	100,00	1,792	3,12	2,43	1	1	1
11,90	1,30	3,20	-4,638	-3,40	1,28	4	1	3
10,80	2,00	2,00	-4,319	-3,48	1,48	4	1	3
13,80	5,60	5,00	0,230	0,80	1,08	2	1	1
14,30	3,10	6,50	0,544	1,03	2,08	2	1	1
15,20	1,80	12,00	-3,319	1,19	2,15	2	2	2
10,00	0,90	20,20	1,000	2,06	2,23	4	4	4
11,90	1,80	13,00	0,210	1,06	1,23	2	1	2
6,50	1,90	27,00	2,283	2,26	2,06	4	4	4
7,50	0,90	18,00	0,398	1,08	1,49	5	5	5
10,60	2,60	4,70	-3,553	0,28	1,32	3	1	3
7,40	2,40	9,80	0,627	1,70	1,72	1	1	1
8,40	1,20	29,00	0,833	2,25	2,21	2	3	2
5,70	0,90	7,00	-3,125	1,09	2,35	2	2	2
4,90	0,50	6,00	0,556	1,32	2,35	3	2	3
3,20	0,60	20,00	1,744	2,24	2,18	5	5	5
11,00	2,30	4,50	-3,046	0,41	1,78	2	1	2
4,90	0,50	7,50	0,301	1,09	2,30	3	1	3
13,20	2,60	2,30	-3,983	0,40	1,66	3	2	2
9,70	0,60	24,00	0,622	1,76	2,32	4	3	4
12,80	6,60	3,00	0,544	0,59	1,15	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=109109&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=109109&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109109&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
SWS10.518-0.372-0.584-0.578-0.575-0.353-0.58-0.535
PS0.5181-0.268-0.257-0.247-0.572-0.398-0.504-0.572
L-0.372-0.26810.5840.5210.562-0.170.3160.015
Wb-0.584-0.2570.58410.8180.5840.1090.5570.292
Wbr-0.578-0.2470.5210.81810.6410.0350.5090.209
Tg-0.575-0.5720.5620.5840.64110.0910.5830.31
P-0.353-0.398-0.170.1090.0350.09110.6260.927
S-0.58-0.5040.3160.5570.5090.5830.62610.79
D-0.535-0.5720.0150.2920.2090.310.9270.791

\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 & 0.518 & -0.372 & -0.584 & -0.578 & -0.575 & -0.353 & -0.58 & -0.535 \tabularnewline
PS & 0.518 & 1 & -0.268 & -0.257 & -0.247 & -0.572 & -0.398 & -0.504 & -0.572 \tabularnewline
L & -0.372 & -0.268 & 1 & 0.584 & 0.521 & 0.562 & -0.17 & 0.316 & 0.015 \tabularnewline
Wb & -0.584 & -0.257 & 0.584 & 1 & 0.818 & 0.584 & 0.109 & 0.557 & 0.292 \tabularnewline
Wbr & -0.578 & -0.247 & 0.521 & 0.818 & 1 & 0.641 & 0.035 & 0.509 & 0.209 \tabularnewline
Tg & -0.575 & -0.572 & 0.562 & 0.584 & 0.641 & 1 & 0.091 & 0.583 & 0.31 \tabularnewline
P & -0.353 & -0.398 & -0.17 & 0.109 & 0.035 & 0.091 & 1 & 0.626 & 0.927 \tabularnewline
S & -0.58 & -0.504 & 0.316 & 0.557 & 0.509 & 0.583 & 0.626 & 1 & 0.79 \tabularnewline
D & -0.535 & -0.572 & 0.015 & 0.292 & 0.209 & 0.31 & 0.927 & 0.79 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109109&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]0.518[/C][C]-0.372[/C][C]-0.584[/C][C]-0.578[/C][C]-0.575[/C][C]-0.353[/C][C]-0.58[/C][C]-0.535[/C][/ROW]
[ROW][C]PS[/C][C]0.518[/C][C]1[/C][C]-0.268[/C][C]-0.257[/C][C]-0.247[/C][C]-0.572[/C][C]-0.398[/C][C]-0.504[/C][C]-0.572[/C][/ROW]
[ROW][C]L[/C][C]-0.372[/C][C]-0.268[/C][C]1[/C][C]0.584[/C][C]0.521[/C][C]0.562[/C][C]-0.17[/C][C]0.316[/C][C]0.015[/C][/ROW]
[ROW][C]Wb[/C][C]-0.584[/C][C]-0.257[/C][C]0.584[/C][C]1[/C][C]0.818[/C][C]0.584[/C][C]0.109[/C][C]0.557[/C][C]0.292[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.578[/C][C]-0.247[/C][C]0.521[/C][C]0.818[/C][C]1[/C][C]0.641[/C][C]0.035[/C][C]0.509[/C][C]0.209[/C][/ROW]
[ROW][C]Tg[/C][C]-0.575[/C][C]-0.572[/C][C]0.562[/C][C]0.584[/C][C]0.641[/C][C]1[/C][C]0.091[/C][C]0.583[/C][C]0.31[/C][/ROW]
[ROW][C]P[/C][C]-0.353[/C][C]-0.398[/C][C]-0.17[/C][C]0.109[/C][C]0.035[/C][C]0.091[/C][C]1[/C][C]0.626[/C][C]0.927[/C][/ROW]
[ROW][C]S[/C][C]-0.58[/C][C]-0.504[/C][C]0.316[/C][C]0.557[/C][C]0.509[/C][C]0.583[/C][C]0.626[/C][C]1[/C][C]0.79[/C][/ROW]
[ROW][C]D[/C][C]-0.535[/C][C]-0.572[/C][C]0.015[/C][C]0.292[/C][C]0.209[/C][C]0.31[/C][C]0.927[/C][C]0.79[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109109&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109109&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
SWS10.518-0.372-0.584-0.578-0.575-0.353-0.58-0.535
PS0.5181-0.268-0.257-0.247-0.572-0.398-0.504-0.572
L-0.372-0.26810.5840.5210.562-0.170.3160.015
Wb-0.584-0.2570.58410.8180.5840.1090.5570.292
Wbr-0.578-0.2470.5210.81810.6410.0350.5090.209
Tg-0.575-0.5720.5620.5840.64110.0910.5830.31
P-0.353-0.398-0.170.1090.0350.09110.6260.927
S-0.58-0.5040.3160.5570.5090.5830.62610.79
D-0.535-0.5720.0150.2920.2090.310.9270.791







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
SWS;PS0.51820.56410.3924
p-value(4e-04)(1e-04)(3e-04)
SWS;L-0.3722-0.4014-0.2778
p-value(0.0152)(0.0084)(0.0101)
SWS;Wb-0.5835-0.6189-0.4465
p-value(0)(0)(0)
SWS;Wbr-0.5784-0.622-0.4573
p-value(1e-04)(0)(0)
SWS;Tg-0.5749-0.6298-0.4628
p-value(1e-04)(0)(0)
SWS;P-0.3527-0.2896-0.224
p-value(0.022)(0.0629)(0.0545)
SWS;S-0.5803-0.5428-0.4242
p-value(1e-04)(2e-04)(3e-04)
SWS;D-0.5346-0.4751-0.3771
p-value(3e-04)(0.0015)(0.0012)
PS;L-0.2683-0.4118-0.2562
p-value(0.0858)(0.0067)(0.0185)
PS;Wb-0.2574-0.4041-0.2472
p-value(0.0998)(0.0079)(0.0227)
PS;Wbr-0.2473-0.4911-0.2957
p-value(0.1143)(0.001)(0.0064)
PS;Tg-0.5717-0.5528-0.387
p-value(1e-04)(1e-04)(4e-04)
PS;P-0.398-0.4703-0.3417
p-value(0.0091)(0.0017)(0.0036)
PS;S-0.5036-0.6061-0.4586
p-value(7e-04)(0)(1e-04)
PS;D-0.5719-0.6303-0.4859
p-value(1e-04)(0)(0)
L;Wb0.58440.72140.5417
p-value(0)(0)(0)
L;Wbr0.52070.81530.66
p-value(4e-04)(0)(0)
L;Tg0.56170.66020.4915
p-value(1e-04)(0)(0)
L;P-0.1697-0.0932-0.0841
p-value(0.2825)(0.557)(0.4701)
L;S0.31570.50420.3844
p-value(0.0417)(7e-04)(0.0012)
L;D0.01470.12470.0922
p-value(0.9265)(0.4313)(0.4292)
Wb;Wbr0.81780.93830.8107
p-value(0)(0)(0)
Wb;Tg0.58440.70360.5169
p-value(0)(0)(0)
Wb;P0.10860.10830.0761
p-value(0.4936)(0.495)(0.5122)
Wb;S0.5570.57680.463
p-value(1e-04)(1e-04)(1e-04)
Wb;D0.29190.28420.2007
p-value(0.0607)(0.0682)(0.0844)
Wbr;Tg0.6410.78470.5791
p-value(0)(0)(0)
Wbr;P0.03540.06530.0426
p-value(0.8239)(0.6812)(0.7139)
Wbr;S0.50860.58520.4754
p-value(6e-04)(0)(1e-04)
Wbr;D0.20890.26570.1983
p-value(0.1842)(0.0889)(0.0885)
Tg;P0.09060.05790.0349
p-value(0.5683)(0.7156)(0.7641)
Tg;S0.58320.56930.4532
p-value(1e-04)(1e-04)(1e-04)
Tg;D0.310.2680.1947
p-value(0.0457)(0.0862)(0.0949)
P;S0.62570.57010.4755
p-value(0)(1e-04)(2e-04)
P;D0.92730.93040.8709
p-value(0)(0)(0)
S;D0.78980.72390.6292
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 & 0.5182 & 0.5641 & 0.3924 \tabularnewline
p-value & (4e-04) & (1e-04) & (3e-04) \tabularnewline
SWS;L & -0.3722 & -0.4014 & -0.2778 \tabularnewline
p-value & (0.0152) & (0.0084) & (0.0101) \tabularnewline
SWS;Wb & -0.5835 & -0.6189 & -0.4465 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;Wbr & -0.5784 & -0.622 & -0.4573 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
SWS;Tg & -0.5749 & -0.6298 & -0.4628 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
SWS;P & -0.3527 & -0.2896 & -0.224 \tabularnewline
p-value & (0.022) & (0.0629) & (0.0545) \tabularnewline
SWS;S & -0.5803 & -0.5428 & -0.4242 \tabularnewline
p-value & (1e-04) & (2e-04) & (3e-04) \tabularnewline
SWS;D & -0.5346 & -0.4751 & -0.3771 \tabularnewline
p-value & (3e-04) & (0.0015) & (0.0012) \tabularnewline
PS;L & -0.2683 & -0.4118 & -0.2562 \tabularnewline
p-value & (0.0858) & (0.0067) & (0.0185) \tabularnewline
PS;Wb & -0.2574 & -0.4041 & -0.2472 \tabularnewline
p-value & (0.0998) & (0.0079) & (0.0227) \tabularnewline
PS;Wbr & -0.2473 & -0.4911 & -0.2957 \tabularnewline
p-value & (0.1143) & (0.001) & (0.0064) \tabularnewline
PS;Tg & -0.5717 & -0.5528 & -0.387 \tabularnewline
p-value & (1e-04) & (1e-04) & (4e-04) \tabularnewline
PS;P & -0.398 & -0.4703 & -0.3417 \tabularnewline
p-value & (0.0091) & (0.0017) & (0.0036) \tabularnewline
PS;S & -0.5036 & -0.6061 & -0.4586 \tabularnewline
p-value & (7e-04) & (0) & (1e-04) \tabularnewline
PS;D & -0.5719 & -0.6303 & -0.4859 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
L;Wb & 0.5844 & 0.7214 & 0.5417 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Wbr & 0.5207 & 0.8153 & 0.66 \tabularnewline
p-value & (4e-04) & (0) & (0) \tabularnewline
L;Tg & 0.5617 & 0.6602 & 0.4915 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
L;P & -0.1697 & -0.0932 & -0.0841 \tabularnewline
p-value & (0.2825) & (0.557) & (0.4701) \tabularnewline
L;S & 0.3157 & 0.5042 & 0.3844 \tabularnewline
p-value & (0.0417) & (7e-04) & (0.0012) \tabularnewline
L;D & 0.0147 & 0.1247 & 0.0922 \tabularnewline
p-value & (0.9265) & (0.4313) & (0.4292) \tabularnewline
Wb;Wbr & 0.8178 & 0.9383 & 0.8107 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;Tg & 0.5844 & 0.7036 & 0.5169 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;P & 0.1086 & 0.1083 & 0.0761 \tabularnewline
p-value & (0.4936) & (0.495) & (0.5122) \tabularnewline
Wb;S & 0.557 & 0.5768 & 0.463 \tabularnewline
p-value & (1e-04) & (1e-04) & (1e-04) \tabularnewline
Wb;D & 0.2919 & 0.2842 & 0.2007 \tabularnewline
p-value & (0.0607) & (0.0682) & (0.0844) \tabularnewline
Wbr;Tg & 0.641 & 0.7847 & 0.5791 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wbr;P & 0.0354 & 0.0653 & 0.0426 \tabularnewline
p-value & (0.8239) & (0.6812) & (0.7139) \tabularnewline
Wbr;S & 0.5086 & 0.5852 & 0.4754 \tabularnewline
p-value & (6e-04) & (0) & (1e-04) \tabularnewline
Wbr;D & 0.2089 & 0.2657 & 0.1983 \tabularnewline
p-value & (0.1842) & (0.0889) & (0.0885) \tabularnewline
Tg;P & 0.0906 & 0.0579 & 0.0349 \tabularnewline
p-value & (0.5683) & (0.7156) & (0.7641) \tabularnewline
Tg;S & 0.5832 & 0.5693 & 0.4532 \tabularnewline
p-value & (1e-04) & (1e-04) & (1e-04) \tabularnewline
Tg;D & 0.31 & 0.268 & 0.1947 \tabularnewline
p-value & (0.0457) & (0.0862) & (0.0949) \tabularnewline
P;S & 0.6257 & 0.5701 & 0.4755 \tabularnewline
p-value & (0) & (1e-04) & (2e-04) \tabularnewline
P;D & 0.9273 & 0.9304 & 0.8709 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
S;D & 0.7898 & 0.7239 & 0.6292 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109109&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]0.5182[/C][C]0.5641[/C][C]0.3924[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](1e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]SWS;L[/C][C]-0.3722[/C][C]-0.4014[/C][C]-0.2778[/C][/ROW]
[ROW][C]p-value[/C][C](0.0152)[/C][C](0.0084)[/C][C](0.0101)[/C][/ROW]
[ROW][C]SWS;Wb[/C][C]-0.5835[/C][C]-0.6189[/C][C]-0.4465[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Wbr[/C][C]-0.5784[/C][C]-0.622[/C][C]-0.4573[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Tg[/C][C]-0.5749[/C][C]-0.6298[/C][C]-0.4628[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.3527[/C][C]-0.2896[/C][C]-0.224[/C][/ROW]
[ROW][C]p-value[/C][C](0.022)[/C][C](0.0629)[/C][C](0.0545)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.5803[/C][C]-0.5428[/C][C]-0.4242[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](2e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]SWS;D[/C][C]-0.5346[/C][C]-0.4751[/C][C]-0.3771[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0015)[/C][C](0.0012)[/C][/ROW]
[ROW][C]PS;L[/C][C]-0.2683[/C][C]-0.4118[/C][C]-0.2562[/C][/ROW]
[ROW][C]p-value[/C][C](0.0858)[/C][C](0.0067)[/C][C](0.0185)[/C][/ROW]
[ROW][C]PS;Wb[/C][C]-0.2574[/C][C]-0.4041[/C][C]-0.2472[/C][/ROW]
[ROW][C]p-value[/C][C](0.0998)[/C][C](0.0079)[/C][C](0.0227)[/C][/ROW]
[ROW][C]PS;Wbr[/C][C]-0.2473[/C][C]-0.4911[/C][C]-0.2957[/C][/ROW]
[ROW][C]p-value[/C][C](0.1143)[/C][C](0.001)[/C][C](0.0064)[/C][/ROW]
[ROW][C]PS;Tg[/C][C]-0.5717[/C][C]-0.5528[/C][C]-0.387[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]PS;P[/C][C]-0.398[/C][C]-0.4703[/C][C]-0.3417[/C][/ROW]
[ROW][C]p-value[/C][C](0.0091)[/C][C](0.0017)[/C][C](0.0036)[/C][/ROW]
[ROW][C]PS;S[/C][C]-0.5036[/C][C]-0.6061[/C][C]-0.4586[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PS;D[/C][C]-0.5719[/C][C]-0.6303[/C][C]-0.4859[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wb[/C][C]0.5844[/C][C]0.7214[/C][C]0.5417[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wbr[/C][C]0.5207[/C][C]0.8153[/C][C]0.66[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Tg[/C][C]0.5617[/C][C]0.6602[/C][C]0.4915[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;P[/C][C]-0.1697[/C][C]-0.0932[/C][C]-0.0841[/C][/ROW]
[ROW][C]p-value[/C][C](0.2825)[/C][C](0.557)[/C][C](0.4701)[/C][/ROW]
[ROW][C]L;S[/C][C]0.3157[/C][C]0.5042[/C][C]0.3844[/C][/ROW]
[ROW][C]p-value[/C][C](0.0417)[/C][C](7e-04)[/C][C](0.0012)[/C][/ROW]
[ROW][C]L;D[/C][C]0.0147[/C][C]0.1247[/C][C]0.0922[/C][/ROW]
[ROW][C]p-value[/C][C](0.9265)[/C][C](0.4313)[/C][C](0.4292)[/C][/ROW]
[ROW][C]Wb;Wbr[/C][C]0.8178[/C][C]0.9383[/C][C]0.8107[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;Tg[/C][C]0.5844[/C][C]0.7036[/C][C]0.5169[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;P[/C][C]0.1086[/C][C]0.1083[/C][C]0.0761[/C][/ROW]
[ROW][C]p-value[/C][C](0.4936)[/C][C](0.495)[/C][C](0.5122)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.557[/C][C]0.5768[/C][C]0.463[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Wb;D[/C][C]0.2919[/C][C]0.2842[/C][C]0.2007[/C][/ROW]
[ROW][C]p-value[/C][C](0.0607)[/C][C](0.0682)[/C][C](0.0844)[/C][/ROW]
[ROW][C]Wbr;Tg[/C][C]0.641[/C][C]0.7847[/C][C]0.5791[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;P[/C][C]0.0354[/C][C]0.0653[/C][C]0.0426[/C][/ROW]
[ROW][C]p-value[/C][C](0.8239)[/C][C](0.6812)[/C][C](0.7139)[/C][/ROW]
[ROW][C]Wbr;S[/C][C]0.5086[/C][C]0.5852[/C][C]0.4754[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Wbr;D[/C][C]0.2089[/C][C]0.2657[/C][C]0.1983[/C][/ROW]
[ROW][C]p-value[/C][C](0.1842)[/C][C](0.0889)[/C][C](0.0885)[/C][/ROW]
[ROW][C]Tg;P[/C][C]0.0906[/C][C]0.0579[/C][C]0.0349[/C][/ROW]
[ROW][C]p-value[/C][C](0.5683)[/C][C](0.7156)[/C][C](0.7641)[/C][/ROW]
[ROW][C]Tg;S[/C][C]0.5832[/C][C]0.5693[/C][C]0.4532[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Tg;D[/C][C]0.31[/C][C]0.268[/C][C]0.1947[/C][/ROW]
[ROW][C]p-value[/C][C](0.0457)[/C][C](0.0862)[/C][C](0.0949)[/C][/ROW]
[ROW][C]P;S[/C][C]0.6257[/C][C]0.5701[/C][C]0.4755[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]P;D[/C][C]0.9273[/C][C]0.9304[/C][C]0.8709[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]S;D[/C][C]0.7898[/C][C]0.7239[/C][C]0.6292[/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=109109&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109109&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;PS0.51820.56410.3924
p-value(4e-04)(1e-04)(3e-04)
SWS;L-0.3722-0.4014-0.2778
p-value(0.0152)(0.0084)(0.0101)
SWS;Wb-0.5835-0.6189-0.4465
p-value(0)(0)(0)
SWS;Wbr-0.5784-0.622-0.4573
p-value(1e-04)(0)(0)
SWS;Tg-0.5749-0.6298-0.4628
p-value(1e-04)(0)(0)
SWS;P-0.3527-0.2896-0.224
p-value(0.022)(0.0629)(0.0545)
SWS;S-0.5803-0.5428-0.4242
p-value(1e-04)(2e-04)(3e-04)
SWS;D-0.5346-0.4751-0.3771
p-value(3e-04)(0.0015)(0.0012)
PS;L-0.2683-0.4118-0.2562
p-value(0.0858)(0.0067)(0.0185)
PS;Wb-0.2574-0.4041-0.2472
p-value(0.0998)(0.0079)(0.0227)
PS;Wbr-0.2473-0.4911-0.2957
p-value(0.1143)(0.001)(0.0064)
PS;Tg-0.5717-0.5528-0.387
p-value(1e-04)(1e-04)(4e-04)
PS;P-0.398-0.4703-0.3417
p-value(0.0091)(0.0017)(0.0036)
PS;S-0.5036-0.6061-0.4586
p-value(7e-04)(0)(1e-04)
PS;D-0.5719-0.6303-0.4859
p-value(1e-04)(0)(0)
L;Wb0.58440.72140.5417
p-value(0)(0)(0)
L;Wbr0.52070.81530.66
p-value(4e-04)(0)(0)
L;Tg0.56170.66020.4915
p-value(1e-04)(0)(0)
L;P-0.1697-0.0932-0.0841
p-value(0.2825)(0.557)(0.4701)
L;S0.31570.50420.3844
p-value(0.0417)(7e-04)(0.0012)
L;D0.01470.12470.0922
p-value(0.9265)(0.4313)(0.4292)
Wb;Wbr0.81780.93830.8107
p-value(0)(0)(0)
Wb;Tg0.58440.70360.5169
p-value(0)(0)(0)
Wb;P0.10860.10830.0761
p-value(0.4936)(0.495)(0.5122)
Wb;S0.5570.57680.463
p-value(1e-04)(1e-04)(1e-04)
Wb;D0.29190.28420.2007
p-value(0.0607)(0.0682)(0.0844)
Wbr;Tg0.6410.78470.5791
p-value(0)(0)(0)
Wbr;P0.03540.06530.0426
p-value(0.8239)(0.6812)(0.7139)
Wbr;S0.50860.58520.4754
p-value(6e-04)(0)(1e-04)
Wbr;D0.20890.26570.1983
p-value(0.1842)(0.0889)(0.0885)
Tg;P0.09060.05790.0349
p-value(0.5683)(0.7156)(0.7641)
Tg;S0.58320.56930.4532
p-value(1e-04)(1e-04)(1e-04)
Tg;D0.310.2680.1947
p-value(0.0457)(0.0862)(0.0949)
P;S0.62570.57010.4755
p-value(0)(1e-04)(2e-04)
P;D0.92730.93040.8709
p-value(0)(0)(0)
S;D0.78980.72390.6292
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')