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R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 10 Dec 2010 15:51:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/10/t1291996492vot195seeuq3zik.htm/, Retrieved Mon, 29 Apr 2024 10:46:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107788, Retrieved Mon, 29 Apr 2024 10:46:55 +0000
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Estimated Impact111
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Dataseries X:
6,3	0,301029996	0,653212514	0,00	0,819543936	1,62324929	3	1	3
2,1	0,255272505	1,838849091	3,41	3,663040975	2,79518459	3	5	4
9,1	-0,15490196	1,431363764	1,02	2,254064453	2,255272505	4	4	4
15,8	0,591064607	1,278753601	-1,64	-0,522878745	1,544068044	1	1	1
5,2	0	1,482873584	2,20	2,227886705	2,593286067	4	5	4
10,9	0,556302501	1,447158031	0,52	1,408239965	1,799340549	1	2	1
8,3	0,146128036	1,698970004	1,72	2,643452676	2,361727836	1	1	1
11	0,176091259	0,84509804	-0,37	0,806179974	2,049218023	5	4	4
3,2	-0,15490196	1,477121255	2,67	2,626340367	2,44870632	5	5	5
6,3	0,322219295	0,544068044	-1,12	0,079181246	1,62324929	1	1	1
6,6	0,612783857	0,77815125	-0,11	0,544068044	1,62324929	2	2	2
9,5	0,079181246	1,017033339	-0,70	0,698970004	2,079181246	2	2	2
3,3	-0,301029996	1,301029996	1,44	2,06069784	2,170261715	5	5	5
11	0,531478917	0,591064607	-0,92	0	1,204119983	3	1	2
4,7	0,176091259	1,612783857	1,93	2,511883361	2,491361694	1	3	1
10,4	0,531478917	0,954242509	-1,00	0,602059991	1,447158031	5	1	3
7,4	-0,096910013	0,880813592	0,02	0,740362689	1,832508913	5	3	4
2,1	-0,096910013	1,653212514	2,72	2,8162413	2,526339277	5	5	5
17,9	0,301029996	1,380211242	-1,00	-0,602059991	1,698970004	1	1	1
6,1	0,278753601	2	1,79	3,120573931	2,426511261	1	1	1
11,9	0,113943352	0,505149978	-1,64	-0,397940009	1,278753601	4	1	3
13,8	0,748188027	0,698970004	0,23	0,799340549	1,079181246	2	1	1
14,3	0,491361694	0,812913357	0,54	1,033423755	2,079181246	2	1	1
15,2	0,255272505	1,079181246	-0,32	1,190331698	2,146128036	2	2	2
10	-0,045757491	1,305351369	1,00	2,06069784	2,230448921	4	4	4
11,9	0,255272505	1,113943352	0,21	1,056904851	1,230448921	2	1	2
6,5	0,278753601	1,431363764	2,28	2,255272505	2,06069784	4	4	4
7,5	-0,045757491	1,255272505	0,40	1,08278537	1,491361694	5	5	5
10,6	0,414973348	0,672097858	-0,55	0,278753601	1,322219295	3	1	3
7,4	0,380211242	0,991226076	0,63	1,702430536	1,716003344	1	1	1
8,4	0,079181246	1,462397998	0,83	2,252853031	2,214843848	2	3	2
5,7	-0,045757491	0,84509804	-0,12	1,089905111	2,352182518	2	2	2
4,9	-0,301029996	0,77815125	0,56	1,322219295	2,352182518	3	2	3
3,2	-0,22184875	1,301029996	1,74	2,243038049	2,178976947	5	5	5
11	0,361727836	0,653212514	-0,05	0,414973348	1,77815125	2	1	2
4,9	-0,301029996	0,875061263	0,30	1,089905111	2,301029996	3	1	3
13,2	0,414973348	0,361727836	-0,98	0,397940009	1,662757832	3	2	2
9,7	-0,22184875	1,380211242	0,62	1,763427994	2,322219295	4	3	4
12,8	0,819543936	0,477121255	0,54	0,591064607	1,146128036	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=107788&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=107788&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107788&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
SWS10.582-0.377-0.687-0.679-0.601-0.369-0.58-0.542
PS0.5821-0.346-0.377-0.438-0.646-0.534-0.591-0.684
L-0.377-0.34610.7210.7760.6790.0190.5180.227
Wb-0.687-0.3770.72110.9370.7070.2330.6650.422
Wbr-0.679-0.4380.7760.93710.7770.1920.6240.377
Tg-0.601-0.6460.6790.7070.77710.1480.580.353
P-0.369-0.5340.0190.2330.1920.14810.680.93
S-0.58-0.5910.5180.6650.6240.580.6810.819
D-0.542-0.6840.2270.4220.3770.3530.930.8191

\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 & -0.377 & -0.687 & -0.679 & -0.601 & -0.369 & -0.58 & -0.542 \tabularnewline
PS & 0.582 & 1 & -0.346 & -0.377 & -0.438 & -0.646 & -0.534 & -0.591 & -0.684 \tabularnewline
L & -0.377 & -0.346 & 1 & 0.721 & 0.776 & 0.679 & 0.019 & 0.518 & 0.227 \tabularnewline
Wb & -0.687 & -0.377 & 0.721 & 1 & 0.937 & 0.707 & 0.233 & 0.665 & 0.422 \tabularnewline
Wbr & -0.679 & -0.438 & 0.776 & 0.937 & 1 & 0.777 & 0.192 & 0.624 & 0.377 \tabularnewline
Tg & -0.601 & -0.646 & 0.679 & 0.707 & 0.777 & 1 & 0.148 & 0.58 & 0.353 \tabularnewline
P & -0.369 & -0.534 & 0.019 & 0.233 & 0.192 & 0.148 & 1 & 0.68 & 0.93 \tabularnewline
S & -0.58 & -0.591 & 0.518 & 0.665 & 0.624 & 0.58 & 0.68 & 1 & 0.819 \tabularnewline
D & -0.542 & -0.684 & 0.227 & 0.422 & 0.377 & 0.353 & 0.93 & 0.819 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107788&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]-0.377[/C][C]-0.687[/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]-0.377[/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]-0.377[/C][C]-0.346[/C][C]1[/C][C]0.721[/C][C]0.776[/C][C]0.679[/C][C]0.019[/C][C]0.518[/C][C]0.227[/C][/ROW]
[ROW][C]Wb[/C][C]-0.687[/C][C]-0.377[/C][C]0.721[/C][C]1[/C][C]0.937[/C][C]0.707[/C][C]0.233[/C][C]0.665[/C][C]0.422[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.679[/C][C]-0.438[/C][C]0.776[/C][C]0.937[/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]0.707[/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]0.233[/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]0.518[/C][C]0.665[/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]0.422[/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=107788&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107788&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
SWS10.582-0.377-0.687-0.679-0.601-0.369-0.58-0.542
PS0.5821-0.346-0.377-0.438-0.646-0.534-0.591-0.684
L-0.377-0.34610.7210.7760.6790.0190.5180.227
Wb-0.687-0.3770.72110.9370.7070.2330.6650.422
Wbr-0.679-0.4380.7760.93710.7770.1920.6240.377
Tg-0.601-0.6460.6790.7070.77710.1480.580.353
P-0.369-0.5340.0190.2330.1920.14810.680.93
S-0.58-0.5910.5180.6650.6240.580.6810.819
D-0.542-0.6840.2270.4220.3770.3530.930.8191







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-0.377-0.4282-0.2999
p-value(0.018)(0.0065)(0.0077)
SWS;Wb-0.6866-0.6501-0.4721
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-0.3456-0.3893-0.2373
p-value(0.0312)(0.0143)(0.036)
PS;Wb-0.3769-0.4408-0.282
p-value(0.018)(0.005)(0.0126)
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;Wb0.72120.7180.535
p-value(0)(0)(0)
L;Wbr0.77630.80330.6499
p-value(0)(0)(0)
L;Tg0.6790.71150.533
p-value(0)(0)(0)
L;P0.01860.0122-0.006
p-value(0.9106)(0.9412)(0.9604)
L;S0.51810.52420.4101
p-value(7e-04)(6e-04)(9e-04)
L;D0.22660.20720.1615
p-value(0.1653)(0.2057)(0.1831)
Wb;Wbr0.93710.9260.7827
p-value(0)(0)(0)
Wb;Tg0.70710.71370.5305
p-value(0)(0)(0)
Wb;P0.23330.20650.1558
p-value(0.1529)(0.2071)(0.1972)
Wb;S0.66530.59550.4814
p-value(0)(1e-04)(1e-04)
Wb;D0.42160.35610.2697
p-value(0.0075)(0.0261)(0.026)
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 & -0.377 & -0.4282 & -0.2999 \tabularnewline
p-value & (0.018) & (0.0065) & (0.0077) \tabularnewline
SWS;Wb & -0.6866 & -0.6501 & -0.4721 \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 & -0.3456 & -0.3893 & -0.2373 \tabularnewline
p-value & (0.0312) & (0.0143) & (0.036) \tabularnewline
PS;Wb & -0.3769 & -0.4408 & -0.282 \tabularnewline
p-value & (0.018) & (0.005) & (0.0126) \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 & 0.7212 & 0.718 & 0.535 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Wbr & 0.7763 & 0.8033 & 0.6499 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Tg & 0.679 & 0.7115 & 0.533 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;P & 0.0186 & 0.0122 & -0.006 \tabularnewline
p-value & (0.9106) & (0.9412) & (0.9604) \tabularnewline
L;S & 0.5181 & 0.5242 & 0.4101 \tabularnewline
p-value & (7e-04) & (6e-04) & (9e-04) \tabularnewline
L;D & 0.2266 & 0.2072 & 0.1615 \tabularnewline
p-value & (0.1653) & (0.2057) & (0.1831) \tabularnewline
Wb;Wbr & 0.9371 & 0.926 & 0.7827 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;Tg & 0.7071 & 0.7137 & 0.5305 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;P & 0.2333 & 0.2065 & 0.1558 \tabularnewline
p-value & (0.1529) & (0.2071) & (0.1972) \tabularnewline
Wb;S & 0.6653 & 0.5955 & 0.4814 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Wb;D & 0.4216 & 0.3561 & 0.2697 \tabularnewline
p-value & (0.0075) & (0.0261) & (0.026) \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=107788&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]-0.377[/C][C]-0.4282[/C][C]-0.2999[/C][/ROW]
[ROW][C]p-value[/C][C](0.018)[/C][C](0.0065)[/C][C](0.0077)[/C][/ROW]
[ROW][C]SWS;Wb[/C][C]-0.6866[/C][C]-0.6501[/C][C]-0.4721[/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]-0.3456[/C][C]-0.3893[/C][C]-0.2373[/C][/ROW]
[ROW][C]p-value[/C][C](0.0312)[/C][C](0.0143)[/C][C](0.036)[/C][/ROW]
[ROW][C]PS;Wb[/C][C]-0.3769[/C][C]-0.4408[/C][C]-0.282[/C][/ROW]
[ROW][C]p-value[/C][C](0.018)[/C][C](0.005)[/C][C](0.0126)[/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]0.7212[/C][C]0.718[/C][C]0.535[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wbr[/C][C]0.7763[/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]0.679[/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]0.0186[/C][C]0.0122[/C][C]-0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.9106)[/C][C](0.9412)[/C][C](0.9604)[/C][/ROW]
[ROW][C]L;S[/C][C]0.5181[/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]0.2266[/C][C]0.2072[/C][C]0.1615[/C][/ROW]
[ROW][C]p-value[/C][C](0.1653)[/C][C](0.2057)[/C][C](0.1831)[/C][/ROW]
[ROW][C]Wb;Wbr[/C][C]0.9371[/C][C]0.926[/C][C]0.7827[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;Tg[/C][C]0.7071[/C][C]0.7137[/C][C]0.5305[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;P[/C][C]0.2333[/C][C]0.2065[/C][C]0.1558[/C][/ROW]
[ROW][C]p-value[/C][C](0.1529)[/C][C](0.2071)[/C][C](0.1972)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.6653[/C][C]0.5955[/C][C]0.4814[/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]0.4216[/C][C]0.3561[/C][C]0.2697[/C][/ROW]
[ROW][C]p-value[/C][C](0.0075)[/C][C](0.0261)[/C][C](0.026)[/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=107788&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107788&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-0.377-0.4282-0.2999
p-value(0.018)(0.0065)(0.0077)
SWS;Wb-0.6866-0.6501-0.4721
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-0.3456-0.3893-0.2373
p-value(0.0312)(0.0143)(0.036)
PS;Wb-0.3769-0.4408-0.282
p-value(0.018)(0.005)(0.0126)
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;Wb0.72120.7180.535
p-value(0)(0)(0)
L;Wbr0.77630.80330.6499
p-value(0)(0)(0)
L;Tg0.6790.71150.533
p-value(0)(0)(0)
L;P0.01860.0122-0.006
p-value(0.9106)(0.9412)(0.9604)
L;S0.51810.52420.4101
p-value(7e-04)(6e-04)(9e-04)
L;D0.22660.20720.1615
p-value(0.1653)(0.2057)(0.1831)
Wb;Wbr0.93710.9260.7827
p-value(0)(0)(0)
Wb;Tg0.70710.71370.5305
p-value(0)(0)(0)
Wb;P0.23330.20650.1558
p-value(0.1529)(0.2071)(0.1972)
Wb;S0.66530.59550.4814
p-value(0)(1e-04)(1e-04)
Wb;D0.42160.35610.2697
p-value(0.0075)(0.0261)(0.026)
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):
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')