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R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 13 Dec 2010 19:32:25 +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/t1292268797uc2btun0rholigb.htm/, Retrieved Tue, 07 May 2024 01:17:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109105, Retrieved Tue, 07 May 2024 01:17:42 +0000
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Estimated Impact179
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [histo3] [2010-12-11 03:43:54] [19f9551d4d95750ef21e9f3cf8fe2131]
-    D    [Kendall tau Correlation Matrix] [Science article: ...] [2010-12-13 19:32:25] [380f6bceef280be3d93cc6fafd18141e] [Current]
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Dataseries X:
6,3	0,301029995663981	0,653212513775344	0,000000000000000	0,819543935541869	1,623249290397900	3	1	3
2,1	0,255272505103306	1,838849090737260	3,406028944963610	3,663040974893970	2,795184589682420	3	5	4
9,1	-0,154901959985743	1,431363764158990	1,023252459633710	2,254064452914340	2,255272505103310	4	4	4
15,8	0,591064607026499	1,278753600952830	-1,638272163982410	-0,522878745280338	1,544068044350280	1	1	1
5,2	0,000000000000000	1,482873583608750	2,204119982655920	2,227886704613670	2,593286067020460	4	5	4
10,9	0,556302500767287	1,447158031342220	0,518513939877887	1,408239965311850	1,799340549453580	1	2	1
8,3	0,146128035678238	1,698970004336020	1,717337582723860	2,643452676486190	2,361727836017590	1	1	1
11	0,176091259055681	0,845098040014257	-0,371611069949688	0,806179973983887	2,049218022670180	5	4	4
3,2	-0,154901959985743	1,477121254719660	2,667452952889950	2,626340367375040	2,448706319905080	5	5	5
6,3	0,322219294733919	0,544068044350276	-1,124938736608300	0,079181246047625	1,623249290397900	1	1	1
6,6	0,612783856719735	0,778151250383644	-0,105130343254747	0,544068044350276	1,623249290397900	2	2	2
9,5	0,079181246047625	1,017033339298780	-0,698970004336019	0,698970004336019	2,079181246047620	2	2	2
3,3	-0,301029995663981	1,301029995663980	1,441852175773290	2,060697840353610	2,170261715394960	5	5	5
11	0,531478917042255	0,591064607026499	-0,920818753952375	0,000000000000000	1,204119982655920	3	1	2
4,7	0,176091259055681	1,612783856719740	1,929418925714290	2,511883360978870	2,491361693834270	1	3	1
10,4	0,531478917042255	0,954242509439325	-0,995678626217357	0,602059991327962	1,447158031342220	5	1	3
7,4	-0,096910013008056	0,880813592280791	0,017033339298780	0,740362689494244	1,832508912706240	5	3	4
2,1	-0,096910013008056	1,662757831681570	2,716837723299520	2,816241299991780	2,526339277389840	5	5	5
17,9	0,301029995663981	1,380211241711610	-2,000000000000000	-0,602059991327962	1,698970004336020	1	1	1
6,1	0,278753600952829	2,000000000000000	1,792391689498250	3,120573931205850	2,426511261364580	1	1	1
11,9	0,113943352306837	0,505149978319906	-1,638272163982410	-0,397940008672038	1,278753600952830	4	1	3
13,8	0,748188027006200	0,698970004336019	0,230448921378274	0,799340549453582	1,079181246047620	2	1	1
14,3	0,491361693834273	0,812913356642856	0,544068044350276	1,033423755486950	2,079181246047620	2	1	1
15,2	0,255272505103306	1,079181246047620	-0,318758762624413	1,190331698170290	2,146128035678240	2	2	2
10	-0,045757490560675	1,305351369446620	1,000000000000000	2,060697840353610	2,230448921378270	4	4	4
11,9	0,255272505103306	1,113943352306840	0,209515014542631	1,056904851336470	1,230448921378270	2	1	2
6,5	0,278753600952829	1,431363764158990	2,283301228703550	2,255272505103310	2,060697840353610	4	4	4
7,5	-0,045757490560675	1,255272505103310	0,397940008672038	1,082785370316450	1,491361693834270	5	5	5
10,6	0,414973347970818	0,672097857935718	-0,552841968657781	0,278753600952829	1,322219294733920	3	1	3
7,4	0,380211241711606	0,991226075692495	0,626853414666726	1,702430536445530	1,716003343634800	1	1	1
8,4	0,079181246047625	1,462397997898960	0,832508912706236	2,252853030979890	2,214843848047700	2	3	2
5,7	-0,045757490560675	0,845098040014257	-0,124938736608300	1,089905111439400	2,352182518111360	2	2	2
4,9	-0,301029995663981	0,778151250383644	0,556302500767287	1,322219294733920	2,352182518111360	3	2	3
3,2	-0,221848749616356	1,301029995663980	1,744292983122680	2,243038048686290	2,178976947293170	5	5	5
11	0,361727836017593	0,653212513775344	-0,045757490560675	0,414973347970818	1,778151250383640	2	1	2
4,9	-0,301029995663981	0,875061263391700	0,301029995663981	1,089905111439400	2,301029995663980	3	1	3
13,2	0,414973347970818	0,361727836017593	-0,982966660701220	0,397940008672038	1,662757831681570	3	2	2
9,7	-0,221848749616356	1,380211241711610	0,622214022966295	1,763427993562940	2,322219294733920	4	3	4
12,8	0,819543935541869	0,477121254719662	0,544068044350276	0,591064607026499	1,146128035678240	2	1	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109105&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109105&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109105&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Correlations for all pairs of data series (method=pearson)
SWSlogPSlogLLogWblogWbrlogGTPISEIODI
SWS10.582-0.378-0.712-0.679-0.601-0.369-0.58-0.542
logPS0.5821-0.346-0.372-0.438-0.646-0.534-0.591-0.684
logL-0.378-0.34610.6850.7770.6790.0190.5190.227
LogWb-0.712-0.3720.68510.9450.6950.2530.6620.432
logWbr-0.679-0.4380.7770.94510.7770.1920.6240.377
logGT-0.601-0.6460.6790.6950.77710.1480.580.353
PI-0.369-0.5340.0190.2530.1920.14810.680.93
SEI-0.58-0.5910.5190.6620.6240.580.6810.819
ODI-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 & logPS & logL & LogWb & logWbr & logGT & PI & SEI & ODI \tabularnewline
SWS & 1 & 0.582 & -0.378 & -0.712 & -0.679 & -0.601 & -0.369 & -0.58 & -0.542 \tabularnewline
logPS & 0.582 & 1 & -0.346 & -0.372 & -0.438 & -0.646 & -0.534 & -0.591 & -0.684 \tabularnewline
logL & -0.378 & -0.346 & 1 & 0.685 & 0.777 & 0.679 & 0.019 & 0.519 & 0.227 \tabularnewline
LogWb & -0.712 & -0.372 & 0.685 & 1 & 0.945 & 0.695 & 0.253 & 0.662 & 0.432 \tabularnewline
logWbr & -0.679 & -0.438 & 0.777 & 0.945 & 1 & 0.777 & 0.192 & 0.624 & 0.377 \tabularnewline
logGT & -0.601 & -0.646 & 0.679 & 0.695 & 0.777 & 1 & 0.148 & 0.58 & 0.353 \tabularnewline
PI & -0.369 & -0.534 & 0.019 & 0.253 & 0.192 & 0.148 & 1 & 0.68 & 0.93 \tabularnewline
SEI & -0.58 & -0.591 & 0.519 & 0.662 & 0.624 & 0.58 & 0.68 & 1 & 0.819 \tabularnewline
ODI & -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=109105&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]SWS[/C][C]logPS[/C][C]logL[/C][C]LogWb[/C][C]logWbr[/C][C]logGT[/C][C]PI[/C][C]SEI[/C][C]ODI[/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]logPS[/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]logL[/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]LogWb[/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]logWbr[/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]logGT[/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]PI[/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]SEI[/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]ODI[/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=109105&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109105&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)
SWSlogPSlogLLogWblogWbrlogGTPISEIODI
SWS10.582-0.378-0.712-0.679-0.601-0.369-0.58-0.542
logPS0.5821-0.346-0.372-0.438-0.646-0.534-0.591-0.684
logL-0.378-0.34610.6850.7770.6790.0190.5190.227
LogWb-0.712-0.3720.68510.9450.6950.2530.6620.432
logWbr-0.679-0.4380.7770.94510.7770.1920.6240.377
logGT-0.601-0.6460.6790.6950.77710.1480.580.353
PI-0.369-0.5340.0190.2530.1920.14810.680.93
SEI-0.58-0.5910.5190.6620.6240.580.6810.819
ODI-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;logPS0.58160.59180.4165
p-value(1e-04)(1e-04)(2e-04)
SWS;logL-0.3777-0.4282-0.2999
p-value(0.0178)(0.0065)(0.0077)
SWS;LogWb-0.7116-0.6585-0.4813
p-value(0)(0)(0)
SWS;logWbr-0.679-0.6599-0.4922
p-value(0)(0)(0)
SWS;logGT-0.6014-0.6623-0.485
p-value(1e-04)(0)(0)
SWS;PI-0.3689-0.3119-0.2421
p-value(0.0208)(0.0533)(0.0458)
SWS;SEI-0.5795-0.5491-0.4299
p-value(1e-04)(3e-04)(5e-04)
SWS;ODI-0.5422-0.4905-0.3888
p-value(4e-04)(0.0015)(0.0014)
logPS;logL-0.3459-0.3893-0.2373
p-value(0.031)(0.0143)(0.036)
logPS;LogWb-0.3719-0.4395-0.2777
p-value(0.0197)(0.0051)(0.0139)
logPS;logWbr-0.4378-0.5242-0.3242
p-value(0.0053)(6e-04)(0.0041)
logPS;logGT-0.6455-0.6521-0.4606
p-value(0)(0)(0)
logPS;PI-0.5341-0.5339-0.3919
p-value(5e-04)(5e-04)(0.0013)
logPS;SEI-0.5914-0.6156-0.4706
p-value(1e-04)(0)(1e-04)
logPS;ODI-0.6844-0.6808-0.5266
p-value(0)(0)(0)
logL;LogWb0.68480.70630.5251
p-value(0)(0)(0)
logL;logWbr0.77660.80330.6499
p-value(0)(0)(0)
logL;logGT0.67920.71150.533
p-value(0)(0)(0)
logL;PI0.01950.0122-0.006
p-value(0.9064)(0.9412)(0.9604)
logL;SEI0.51870.52420.4101
p-value(7e-04)(6e-04)(9e-04)
logL;ODI0.22740.20720.1615
p-value(0.1638)(0.2057)(0.1831)
LogWb;logWbr0.94460.92840.7916
p-value(0)(0)(0)
LogWb;logGT0.69490.70950.5207
p-value(0)(0)(0)
LogWb;PI0.25290.21470.1602
p-value(0.1204)(0.1893)(0.1846)
LogWb;SEI0.66240.59540.4811
p-value(0)(1e-04)(1e-04)
LogWb;ODI0.43210.36150.274
p-value(0.006)(0.0238)(0.0236)
logWbr;logGT0.77750.80820.5993
p-value(0)(0)(0)
logWbr;PI0.19170.16750.1257
p-value(0.2424)(0.3082)(0.2976)
logWbr;SEI0.62360.59760.4905
p-value(0)(1e-04)(1e-04)
logWbr;ODI0.37680.34140.2695
p-value(0.0181)(0.0334)(0.026)
logGT;PI0.14810.11620.075
p-value(0.3682)(0.4813)(0.5352)
logGT;SEI0.58020.57710.4617
p-value(1e-04)(1e-04)(2e-04)
logGT;ODI0.35340.31150.2293
p-value(0.0273)(0.0535)(0.0586)
PI;SEI0.680.61860.5218
p-value(0)(0)(1e-04)
PI;ODI0.93030.93280.876
p-value(0)(0)(0)
SEI;ODI0.81920.75330.6591
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;logPS & 0.5816 & 0.5918 & 0.4165 \tabularnewline
p-value & (1e-04) & (1e-04) & (2e-04) \tabularnewline
SWS;logL & -0.3777 & -0.4282 & -0.2999 \tabularnewline
p-value & (0.0178) & (0.0065) & (0.0077) \tabularnewline
SWS;LogWb & -0.7116 & -0.6585 & -0.4813 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;logWbr & -0.679 & -0.6599 & -0.4922 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;logGT & -0.6014 & -0.6623 & -0.485 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
SWS;PI & -0.3689 & -0.3119 & -0.2421 \tabularnewline
p-value & (0.0208) & (0.0533) & (0.0458) \tabularnewline
SWS;SEI & -0.5795 & -0.5491 & -0.4299 \tabularnewline
p-value & (1e-04) & (3e-04) & (5e-04) \tabularnewline
SWS;ODI & -0.5422 & -0.4905 & -0.3888 \tabularnewline
p-value & (4e-04) & (0.0015) & (0.0014) \tabularnewline
logPS;logL & -0.3459 & -0.3893 & -0.2373 \tabularnewline
p-value & (0.031) & (0.0143) & (0.036) \tabularnewline
logPS;LogWb & -0.3719 & -0.4395 & -0.2777 \tabularnewline
p-value & (0.0197) & (0.0051) & (0.0139) \tabularnewline
logPS;logWbr & -0.4378 & -0.5242 & -0.3242 \tabularnewline
p-value & (0.0053) & (6e-04) & (0.0041) \tabularnewline
logPS;logGT & -0.6455 & -0.6521 & -0.4606 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logPS;PI & -0.5341 & -0.5339 & -0.3919 \tabularnewline
p-value & (5e-04) & (5e-04) & (0.0013) \tabularnewline
logPS;SEI & -0.5914 & -0.6156 & -0.4706 \tabularnewline
p-value & (1e-04) & (0) & (1e-04) \tabularnewline
logPS;ODI & -0.6844 & -0.6808 & -0.5266 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;LogWb & 0.6848 & 0.7063 & 0.5251 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logWbr & 0.7766 & 0.8033 & 0.6499 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logGT & 0.6792 & 0.7115 & 0.533 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;PI & 0.0195 & 0.0122 & -0.006 \tabularnewline
p-value & (0.9064) & (0.9412) & (0.9604) \tabularnewline
logL;SEI & 0.5187 & 0.5242 & 0.4101 \tabularnewline
p-value & (7e-04) & (6e-04) & (9e-04) \tabularnewline
logL;ODI & 0.2274 & 0.2072 & 0.1615 \tabularnewline
p-value & (0.1638) & (0.2057) & (0.1831) \tabularnewline
LogWb;logWbr & 0.9446 & 0.9284 & 0.7916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LogWb;logGT & 0.6949 & 0.7095 & 0.5207 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LogWb;PI & 0.2529 & 0.2147 & 0.1602 \tabularnewline
p-value & (0.1204) & (0.1893) & (0.1846) \tabularnewline
LogWb;SEI & 0.6624 & 0.5954 & 0.4811 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
LogWb;ODI & 0.4321 & 0.3615 & 0.274 \tabularnewline
p-value & (0.006) & (0.0238) & (0.0236) \tabularnewline
logWbr;logGT & 0.7775 & 0.8082 & 0.5993 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logWbr;PI & 0.1917 & 0.1675 & 0.1257 \tabularnewline
p-value & (0.2424) & (0.3082) & (0.2976) \tabularnewline
logWbr;SEI & 0.6236 & 0.5976 & 0.4905 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
logWbr;ODI & 0.3768 & 0.3414 & 0.2695 \tabularnewline
p-value & (0.0181) & (0.0334) & (0.026) \tabularnewline
logGT;PI & 0.1481 & 0.1162 & 0.075 \tabularnewline
p-value & (0.3682) & (0.4813) & (0.5352) \tabularnewline
logGT;SEI & 0.5802 & 0.5771 & 0.4617 \tabularnewline
p-value & (1e-04) & (1e-04) & (2e-04) \tabularnewline
logGT;ODI & 0.3534 & 0.3115 & 0.2293 \tabularnewline
p-value & (0.0273) & (0.0535) & (0.0586) \tabularnewline
PI;SEI & 0.68 & 0.6186 & 0.5218 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
PI;ODI & 0.9303 & 0.9328 & 0.876 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SEI;ODI & 0.8192 & 0.7533 & 0.6591 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109105&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;logPS[/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;logL[/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;LogWb[/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;logWbr[/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;logGT[/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;PI[/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;SEI[/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;ODI[/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]logPS;logL[/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]logPS;LogWb[/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]logPS;logWbr[/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]logPS;logGT[/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]logPS;PI[/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]logPS;SEI[/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]logPS;ODI[/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]logL;LogWb[/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]logL;logWbr[/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]logL;logGT[/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]logL;PI[/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]logL;SEI[/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]logL;ODI[/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]LogWb;logWbr[/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]LogWb;logGT[/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]LogWb;PI[/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]LogWb;SEI[/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]LogWb;ODI[/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]logWbr;logGT[/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]logWbr;PI[/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]logWbr;SEI[/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]logWbr;ODI[/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]logGT;PI[/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]logGT;SEI[/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]logGT;ODI[/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]PI;SEI[/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]PI;ODI[/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]SEI;ODI[/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=109105&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109105&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;logPS0.58160.59180.4165
p-value(1e-04)(1e-04)(2e-04)
SWS;logL-0.3777-0.4282-0.2999
p-value(0.0178)(0.0065)(0.0077)
SWS;LogWb-0.7116-0.6585-0.4813
p-value(0)(0)(0)
SWS;logWbr-0.679-0.6599-0.4922
p-value(0)(0)(0)
SWS;logGT-0.6014-0.6623-0.485
p-value(1e-04)(0)(0)
SWS;PI-0.3689-0.3119-0.2421
p-value(0.0208)(0.0533)(0.0458)
SWS;SEI-0.5795-0.5491-0.4299
p-value(1e-04)(3e-04)(5e-04)
SWS;ODI-0.5422-0.4905-0.3888
p-value(4e-04)(0.0015)(0.0014)
logPS;logL-0.3459-0.3893-0.2373
p-value(0.031)(0.0143)(0.036)
logPS;LogWb-0.3719-0.4395-0.2777
p-value(0.0197)(0.0051)(0.0139)
logPS;logWbr-0.4378-0.5242-0.3242
p-value(0.0053)(6e-04)(0.0041)
logPS;logGT-0.6455-0.6521-0.4606
p-value(0)(0)(0)
logPS;PI-0.5341-0.5339-0.3919
p-value(5e-04)(5e-04)(0.0013)
logPS;SEI-0.5914-0.6156-0.4706
p-value(1e-04)(0)(1e-04)
logPS;ODI-0.6844-0.6808-0.5266
p-value(0)(0)(0)
logL;LogWb0.68480.70630.5251
p-value(0)(0)(0)
logL;logWbr0.77660.80330.6499
p-value(0)(0)(0)
logL;logGT0.67920.71150.533
p-value(0)(0)(0)
logL;PI0.01950.0122-0.006
p-value(0.9064)(0.9412)(0.9604)
logL;SEI0.51870.52420.4101
p-value(7e-04)(6e-04)(9e-04)
logL;ODI0.22740.20720.1615
p-value(0.1638)(0.2057)(0.1831)
LogWb;logWbr0.94460.92840.7916
p-value(0)(0)(0)
LogWb;logGT0.69490.70950.5207
p-value(0)(0)(0)
LogWb;PI0.25290.21470.1602
p-value(0.1204)(0.1893)(0.1846)
LogWb;SEI0.66240.59540.4811
p-value(0)(1e-04)(1e-04)
LogWb;ODI0.43210.36150.274
p-value(0.006)(0.0238)(0.0236)
logWbr;logGT0.77750.80820.5993
p-value(0)(0)(0)
logWbr;PI0.19170.16750.1257
p-value(0.2424)(0.3082)(0.2976)
logWbr;SEI0.62360.59760.4905
p-value(0)(1e-04)(1e-04)
logWbr;ODI0.37680.34140.2695
p-value(0.0181)(0.0334)(0.026)
logGT;PI0.14810.11620.075
p-value(0.3682)(0.4813)(0.5352)
logGT;SEI0.58020.57710.4617
p-value(1e-04)(1e-04)(2e-04)
logGT;ODI0.35340.31150.2293
p-value(0.0273)(0.0535)(0.0586)
PI;SEI0.680.61860.5218
p-value(0)(0)(1e-04)
PI;ODI0.93030.93280.876
p-value(0)(0)(0)
SEI;ODI0.81920.75330.6591
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')