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R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 23 Jan 2017 09:32:04 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jan/23/t1485160368u3r9xpnyv6t7c12.htm/, Retrieved Wed, 15 May 2024 14:30:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=303902, Retrieved Wed, 15 May 2024 14:30:54 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2017-01-23 08:32:04] [06e8ab786b844b67600bc4f518dc33e5] [Current]
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Dataseries X:
14 22 13 22 4 2 4 3 5 4
19 24 16 24 5 3 3 4 5 4
17 21 17 26 4 4 5 4 5 4
17 21 NA 21 3 4 3 3 4 4
15 24 NA 26 4 4 5 4 5 4
20 20 16 25 3 4 4 4 5 5
15 22 NA 21 3 4 4 3 3 4
19 20 NA 24 3 4 5 4 4 4
15 19 NA 27 4 5 4 4 5 5
15 23 17 28 4 5 5 4 5 5
19 21 17 23 4 4 2 4 5 4
NA 19 15 25 4 4 5 3 5 4
20 19 16 24 4 4 4 3 4 5
18 21 14 24 3 3 5 4 4 5
15 21 16 24 4 4 5 4 2 5
14 22 17 25 3 4 5 4 4 5
20 22 NA 25 3 4 5 4 4 5
NA 19 NA NA NA NA 5 NA 5 5
16 21 NA 25 5 5 4 3 4 4
16 21 NA 25 4 4 4 4 5 4
16 21 16 24 3 4 5 3 4 5
10 20 NA 26 4 4 4 4 5 5
19 22 16 26 4 4 5 4 4 5
19 22 NA 25 4 4 5 4 4 4
16 24 NA 26 4 4 5 4 4 5
15 21 NA 23 3 4 4 4 4 4
18 19 16 24 3 4 4 3 5 5
17 19 15 24 4 4 4 4 4 4
19 23 16 25 2 4 5 4 5 5
17 21 16 25 5 4 4 4 4 4
NA 21 13 24 4 3 5 4 4 4
19 19 15 28 4 5 5 4 5 5
20 21 17 27 5 4 5 4 4 5
5 19 NA NA 4 3 5 4 NA 5
19 21 13 23 2 3 5 4 5 4
16 21 17 23 4 5 2 4 4 4
15 23 NA 24 3 4 5 4 4 4
16 19 14 24 4 3 5 3 4 5
18 19 14 22 4 3 3 4 4 4
16 19 18 25 4 4 5 4 4 4
15 18 NA 25 5 4 4 4 4 4
17 22 17 28 4 5 5 4 5 5
NA 18 13 22 3 3 4 4 4 4
20 22 16 28 5 5 5 3 5 5
19 18 15 25 5 4 5 3 4 4
7 22 15 24 4 4 4 3 4 5
13 22 NA 24 4 4 4 4 4 4
16 19 15 23 3 5 5 3 3 4
16 22 13 25 4 4 4 4 5 4
NA 25 NA NA 2 3 4 2 NA 4
18 19 17 26 4 5 5 4 4 4
18 19 NA 25 5 5 2 4 5 4
16 19 NA 27 5 5 5 4 4 4
17 19 11 26 4 3 5 4 5 5
19 21 14 23 4 3 4 3 4 5
16 21 13 25 4 4 5 4 4 4
19 20 NA 21 3 4 4 3 3 4
13 19 17 22 3 4 4 4 4 3
16 19 16 24 4 4 4 3 5 4
13 22 NA 25 4 4 4 4 5 4
12 26 17 27 5 5 3 4 5 5
17 19 16 24 2 4 4 4 5 5
17 21 16 26 4 4 4 4 5 5
17 21 16 21 3 4 4 4 2 4
16 20 15 27 4 4 5 4 5 5
16 23 12 22 4 2 4 4 4 4
14 22 17 23 4 4 4 3 5 3
16 22 14 24 4 4 4 3 5 4
13 22 14 25 5 4 5 3 3 5
16 21 16 24 3 4 4 3 5 5
14 21 NA 23 3 4 4 3 4 5
20 22 NA 28 4 5 5 5 5 4
12 23 NA NA 4 4 3 4 NA 4
13 18 NA 24 4 4 4 4 4 4
18 24 NA 26 4 4 4 5 5 4
14 22 15 22 3 4 3 4 4 4
19 21 16 25 4 4 4 4 5 4
18 21 14 25 3 4 5 3 5 5
14 21 15 24 3 3 5 4 4 5
18 23 17 24 4 3 5 4 4 4
19 21 NA 26 4 4 5 4 4 5
15 23 10 21 3 3 3 4 4 4
14 21 NA 25 4 4 4 4 5 4
17 19 17 25 4 4 3 4 5 5
19 21 NA 26 4 4 4 4 5 5
13 21 20 25 5 4 4 4 4 4
19 21 17 26 5 4 3 5 4 5
18 23 18 27 4 4 5 4 5 5
20 23 NA 25 3 4 5 4 4 5
15 20 17 NA 3 NA 4 4 4 4
15 20 14 20 4 2 3 3 4 4
15 19 NA 24 4 4 5 4 4 3
20 23 17 26 4 4 5 4 4 5
15 22 NA 25 4 4 4 4 5 4
19 19 17 25 4 5 4 4 5 3
18 23 NA 24 3 4 4 3 5 5
18 22 16 26 4 4 5 4 4 5
15 22 18 25 5 4 3 4 4 5
20 21 18 28 5 4 5 5 4 5
17 21 16 27 4 5 4 4 5 5
12 21 NA 25 3 4 5 4 4 5
18 21 NA 26 5 3 4 4 5 5
19 22 15 26 4 4 5 4 4 5
20 25 13 26 5 4 4 4 4 5
NA 21 NA NA 3 4 4 3 NA 4
17 23 NA 28 5 4 4 5 5 5
15 19 NA NA 4 4 5 3 NA 5
16 22 NA 21 4 4 3 3 4 3
18 20 NA 25 4 4 5 4 4 4
18 21 16 25 4 4 5 4 4 4
14 25 NA 24 3 4 5 4 5 3
15 21 NA 24 4 4 4 4 4 4
12 19 NA 24 4 4 4 3 4 5
17 23 12 23 3 3 4 3 5 5
14 22 NA 23 4 4 4 3 4 4
18 21 16 24 3 4 5 4 4 4
17 24 16 24 4 4 5 4 3 4
17 21 NA 25 5 4 5 1 5 5
20 19 16 28 5 4 5 4 5 5
16 18 14 23 4 4 4 4 4 3
14 19 15 24 4 4 5 3 4 4
15 20 14 23 3 4 4 3 4 5
18 19 NA 24 4 4 4 4 4 4
20 22 15 25 4 4 4 4 5 4
17 21 NA 24 4 5 3 4 4 4
17 22 15 23 3 4 4 4 4 4
17 24 16 23 4 4 4 3 4 4
17 28 NA 25 4 4 4 4 4 5
15 19 NA 21 3 4 3 3 4 4
17 18 NA 22 4 4 4 3 4 3
18 23 11 19 3 2 4 2 4 4
17 19 NA 24 4 4 4 3 5 4
20 23 18 25 5 4 4 3 5 4
15 19 NA 21 2 4 4 3 3 5
16 22 11 22 3 3 4 4 4 4
15 21 NA 23 4 4 4 3 4 4
18 19 18 27 5 5 4 4 5 4
11 22 NA NA NA NA 2 NA NA NA
15 21 15 26 4 5 5 4 4 4
18 23 19 29 5 5 5 5 5 4
20 22 17 28 4 5 5 4 5 5
19 19 NA 24 4 4 4 3 4 5
14 19 14 25 3 4 5 4 5 4
16 21 NA 25 4 4 5 4 4 4
15 22 13 22 4 4 2 4 4 4
17 21 17 25 4 4 3 4 5 5
18 20 14 26 4 4 4 4 5 5
20 23 19 26 5 4 5 3 5 4
17 22 14 24 4 3 5 4 4 4
18 23 NA 25 4 4 5 4 4 4
15 22 NA 19 3 3 2 3 4 4
16 21 16 25 4 5 5 4 4 3
11 20 16 23 4 4 4 3 4 4
15 18 15 25 4 4 4 4 4 5
18 18 12 25 3 4 5 3 5 5
17 20 NA 26 4 4 5 4 4 5
16 19 17 27 5 4 5 4 5 4
12 21 NA 24 4 4 5 4 3 4
19 24 NA 22 2 3 5 4 4 4
18 19 18 25 4 4 4 4 4 5
15 20 15 24 4 3 4 3 5 5
17 19 18 23 4 4 4 4 4 3
19 23 15 27 4 5 5 5 4 4
18 22 NA 24 5 4 3 4 4 4
19 21 NA 24 5 4 4 3 4 4
16 24 NA 21 3 3 1 4 5 5
16 21 16 25 4 4 4 4 4 5
16 21 NA 25 4 4 4 4 5 4
14 22 16 23 2 3 4 5 5 4




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=303902&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=303902&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=303902&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center







Correlations for all pairs of data series (method=kendall)
ITHSUMBevr_LeeftijdTVDCSKEOUSUMSKEOU1SKEOU2SKEOU3SKEOU4SKEOU5SKEOU6
ITHSUM10.0450.1340.3040.1780.090.160.1310.1820.151
Bevr_Leeftijd0.04510.0150.0230.075-0.07-0.0110.0820.0010.012
TVDC0.1340.01510.3290.3190.4060.0260.2450.1110.002
SKEOUSUM0.3040.0230.32910.4340.5130.4090.3170.3070.365
SKEOU10.1780.0750.3190.43410.231-0.0170.1010.017-0.012
SKEOU20.09-0.070.4060.5130.23110.1660.1820.1080.019
SKEOU30.16-0.0110.0260.409-0.0170.16610.036-0.0670.147
SKEOU40.1310.0820.2450.3170.1010.1820.0361-0.03-0.054
SKEOU50.1820.0010.1110.3070.0170.108-0.067-0.0310.132
SKEOU60.1510.0120.0020.365-0.0120.0190.147-0.0540.1321

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & ITHSUM & Bevr_Leeftijd & TVDC & SKEOUSUM & SKEOU1 & SKEOU2 & SKEOU3 & SKEOU4 & SKEOU5 & SKEOU6 \tabularnewline
ITHSUM & 1 & 0.045 & 0.134 & 0.304 & 0.178 & 0.09 & 0.16 & 0.131 & 0.182 & 0.151 \tabularnewline
Bevr_Leeftijd & 0.045 & 1 & 0.015 & 0.023 & 0.075 & -0.07 & -0.011 & 0.082 & 0.001 & 0.012 \tabularnewline
TVDC & 0.134 & 0.015 & 1 & 0.329 & 0.319 & 0.406 & 0.026 & 0.245 & 0.111 & 0.002 \tabularnewline
SKEOUSUM & 0.304 & 0.023 & 0.329 & 1 & 0.434 & 0.513 & 0.409 & 0.317 & 0.307 & 0.365 \tabularnewline
SKEOU1 & 0.178 & 0.075 & 0.319 & 0.434 & 1 & 0.231 & -0.017 & 0.101 & 0.017 & -0.012 \tabularnewline
SKEOU2 & 0.09 & -0.07 & 0.406 & 0.513 & 0.231 & 1 & 0.166 & 0.182 & 0.108 & 0.019 \tabularnewline
SKEOU3 & 0.16 & -0.011 & 0.026 & 0.409 & -0.017 & 0.166 & 1 & 0.036 & -0.067 & 0.147 \tabularnewline
SKEOU4 & 0.131 & 0.082 & 0.245 & 0.317 & 0.101 & 0.182 & 0.036 & 1 & -0.03 & -0.054 \tabularnewline
SKEOU5 & 0.182 & 0.001 & 0.111 & 0.307 & 0.017 & 0.108 & -0.067 & -0.03 & 1 & 0.132 \tabularnewline
SKEOU6 & 0.151 & 0.012 & 0.002 & 0.365 & -0.012 & 0.019 & 0.147 & -0.054 & 0.132 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=303902&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]ITHSUM[/C][C]Bevr_Leeftijd[/C][C]TVDC[/C][C]SKEOUSUM[/C][C]SKEOU1[/C][C]SKEOU2[/C][C]SKEOU3[/C][C]SKEOU4[/C][C]SKEOU5[/C][C]SKEOU6[/C][/ROW]
[ROW][C]ITHSUM[/C][C]1[/C][C]0.045[/C][C]0.134[/C][C]0.304[/C][C]0.178[/C][C]0.09[/C][C]0.16[/C][C]0.131[/C][C]0.182[/C][C]0.151[/C][/ROW]
[ROW][C]Bevr_Leeftijd[/C][C]0.045[/C][C]1[/C][C]0.015[/C][C]0.023[/C][C]0.075[/C][C]-0.07[/C][C]-0.011[/C][C]0.082[/C][C]0.001[/C][C]0.012[/C][/ROW]
[ROW][C]TVDC[/C][C]0.134[/C][C]0.015[/C][C]1[/C][C]0.329[/C][C]0.319[/C][C]0.406[/C][C]0.026[/C][C]0.245[/C][C]0.111[/C][C]0.002[/C][/ROW]
[ROW][C]SKEOUSUM[/C][C]0.304[/C][C]0.023[/C][C]0.329[/C][C]1[/C][C]0.434[/C][C]0.513[/C][C]0.409[/C][C]0.317[/C][C]0.307[/C][C]0.365[/C][/ROW]
[ROW][C]SKEOU1[/C][C]0.178[/C][C]0.075[/C][C]0.319[/C][C]0.434[/C][C]1[/C][C]0.231[/C][C]-0.017[/C][C]0.101[/C][C]0.017[/C][C]-0.012[/C][/ROW]
[ROW][C]SKEOU2[/C][C]0.09[/C][C]-0.07[/C][C]0.406[/C][C]0.513[/C][C]0.231[/C][C]1[/C][C]0.166[/C][C]0.182[/C][C]0.108[/C][C]0.019[/C][/ROW]
[ROW][C]SKEOU3[/C][C]0.16[/C][C]-0.011[/C][C]0.026[/C][C]0.409[/C][C]-0.017[/C][C]0.166[/C][C]1[/C][C]0.036[/C][C]-0.067[/C][C]0.147[/C][/ROW]
[ROW][C]SKEOU4[/C][C]0.131[/C][C]0.082[/C][C]0.245[/C][C]0.317[/C][C]0.101[/C][C]0.182[/C][C]0.036[/C][C]1[/C][C]-0.03[/C][C]-0.054[/C][/ROW]
[ROW][C]SKEOU5[/C][C]0.182[/C][C]0.001[/C][C]0.111[/C][C]0.307[/C][C]0.017[/C][C]0.108[/C][C]-0.067[/C][C]-0.03[/C][C]1[/C][C]0.132[/C][/ROW]
[ROW][C]SKEOU6[/C][C]0.151[/C][C]0.012[/C][C]0.002[/C][C]0.365[/C][C]-0.012[/C][C]0.019[/C][C]0.147[/C][C]-0.054[/C][C]0.132[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=303902&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=303902&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=kendall)
ITHSUMBevr_LeeftijdTVDCSKEOUSUMSKEOU1SKEOU2SKEOU3SKEOU4SKEOU5SKEOU6
ITHSUM10.0450.1340.3040.1780.090.160.1310.1820.151
Bevr_Leeftijd0.04510.0150.0230.075-0.07-0.0110.0820.0010.012
TVDC0.1340.01510.3290.3190.4060.0260.2450.1110.002
SKEOUSUM0.3040.0230.32910.4340.5130.4090.3170.3070.365
SKEOU10.1780.0750.3190.43410.231-0.0170.1010.017-0.012
SKEOU20.09-0.070.4060.5130.23110.1660.1820.1080.019
SKEOU30.16-0.0110.0260.409-0.0170.16610.036-0.0670.147
SKEOU40.1310.0820.2450.3170.1010.1820.0361-0.03-0.054
SKEOU50.1820.0010.1110.3070.0170.108-0.067-0.0310.132
SKEOU60.1510.0120.0020.365-0.0120.0190.147-0.0540.1321







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
ITHSUM;Bevr_Leeftijd0.01160.06330.0454
p-value(0.9093)(0.5335)(0.5608)
ITHSUM;TVDC0.11520.17340.1337
p-value(0.2561)(0.0861)(0.0836)
ITHSUM;SKEOUSUM0.33240.39490.3041
p-value(8e-04)(1e-04)(1e-04)
ITHSUM;SKEOU10.14610.21260.1778
p-value(0.1491)(0.0347)(0.0321)
ITHSUM;SKEOU20.09640.11050.0903
p-value(0.3425)(0.2761)(0.28)
ITHSUM;SKEOU30.17740.19250.1597
p-value(0.079)(0.0562)(0.0566)
ITHSUM;SKEOU40.17280.14960.1305
p-value(0.0872)(0.1394)(0.1277)
ITHSUM;SKEOU50.20620.21510.1816
p-value(0.0406)(0.0325)(0.0344)
ITHSUM;SKEOU60.13720.17650.1511
p-value(0.1756)(0.0806)(0.0778)
Bevr_Leeftijd;TVDC-0.00990.02190.0147
p-value(0.9223)(0.8295)(0.8525)
Bevr_Leeftijd;SKEOUSUM0.03490.03010.0226
p-value(0.7315)(0.7676)(0.7748)
Bevr_Leeftijd;SKEOU10.10930.09130.0754
p-value(0.2814)(0.369)(0.3745)
Bevr_Leeftijd;SKEOU2-0.0788-0.0829-0.0705
p-value(0.4383)(0.4147)(0.4101)
Bevr_Leeftijd;SKEOU3-0.0681-0.0129-0.0111
p-value(0.5032)(0.8994)(0.8974)
Bevr_Leeftijd;SKEOU40.09430.09280.0815
p-value(0.3534)(0.3607)(0.3525)
Bevr_Leeftijd;SKEOU5-0.00697e-049e-04
p-value(0.946)(0.9942)(0.9916)
Bevr_Leeftijd;SKEOU60.07250.01580.0122
p-value(0.476)(0.8769)(0.8893)
TVDC;SKEOUSUM0.46430.41310.3292
p-value(0)(0)(0)
TVDC;SKEOU10.37320.37960.3192
p-value(1e-04)(1e-04)(1e-04)
TVDC;SKEOU20.52760.47850.4061
p-value(0)(0)(0)
TVDC;SKEOU30.04990.03050.026
p-value(0.624)(0.7642)(0.7587)
TVDC;SKEOU40.27620.28090.2445
p-value(0.0056)(0.0048)(0.0048)
TVDC;SKEOU50.07980.13330.1112
p-value(0.4321)(0.1884)(0.2004)
TVDC;SKEOU6-0.0191-0.00130.0015
p-value(0.8512)(0.9897)(0.9862)
SKEOUSUM;SKEOU10.48670.52020.4342
p-value(0)(0)(0)
SKEOUSUM;SKEOU20.63690.57920.5128
p-value(0)(0)(0)
SKEOUSUM;SKEOU30.47180.48180.4095
p-value(0)(0)(0)
SKEOUSUM;SKEOU40.39680.35990.317
p-value(0)(3e-04)(2e-04)
SKEOUSUM;SKEOU50.37380.35680.3067
p-value(1e-04)(3e-04)(4e-04)
SKEOUSUM;SKEOU60.41380.42970.3653
p-value(0)(0)(0)
SKEOU1;SKEOU20.24440.25850.2305
p-value(0.0148)(0.0098)(0.0112)
SKEOU1;SKEOU3-0.0495-0.0186-0.0165
p-value(0.6264)(0.8548)(0.8561)
SKEOU1;SKEOU40.08620.10740.1014
p-value(0.396)(0.2901)(0.2762)
SKEOU1;SKEOU500.0180.0175
p-value(1)(0.8593)(0.8514)
SKEOU1;SKEOU6-0.0101-0.0131-0.0117
p-value(0.921)(0.8974)(0.9003)
SKEOU2;SKEOU30.15430.18130.1662
p-value(0.1272)(0.0725)(0.07)
SKEOU2;SKEOU40.25240.19440.182
p-value(0.0117)(0.0538)(0.0523)
SKEOU2;SKEOU50.08130.11690.1081
p-value(0.4238)(0.2492)(0.2503)
SKEOU2;SKEOU60.0220.01840.0188
p-value(0.8291)(0.8564)(0.8413)
SKEOU3;SKEOU4-0.00630.03870.0362
p-value(0.9506)(0.7039)(0.7006)
SKEOU3;SKEOU5-0.0725-0.073-0.0672
p-value(0.4759)(0.4725)(0.4757)
SKEOU3;SKEOU60.15230.15930.1469
p-value(0.1324)(0.1154)(0.1184)
SKEOU4;SKEOU5-0.0183-0.0312-0.0298
p-value(0.8576)(0.7595)(0.7569)
SKEOU4;SKEOU6-0.0451-0.0575-0.0543
p-value(0.6574)(0.5721)(0.5722)
SKEOU5;SKEOU60.10660.13860.1318
p-value(0.2938)(0.1712)(0.1716)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
ITHSUM;Bevr_Leeftijd & 0.0116 & 0.0633 & 0.0454 \tabularnewline
p-value & (0.9093) & (0.5335) & (0.5608) \tabularnewline
ITHSUM;TVDC & 0.1152 & 0.1734 & 0.1337 \tabularnewline
p-value & (0.2561) & (0.0861) & (0.0836) \tabularnewline
ITHSUM;SKEOUSUM & 0.3324 & 0.3949 & 0.3041 \tabularnewline
p-value & (8e-04) & (1e-04) & (1e-04) \tabularnewline
ITHSUM;SKEOU1 & 0.1461 & 0.2126 & 0.1778 \tabularnewline
p-value & (0.1491) & (0.0347) & (0.0321) \tabularnewline
ITHSUM;SKEOU2 & 0.0964 & 0.1105 & 0.0903 \tabularnewline
p-value & (0.3425) & (0.2761) & (0.28) \tabularnewline
ITHSUM;SKEOU3 & 0.1774 & 0.1925 & 0.1597 \tabularnewline
p-value & (0.079) & (0.0562) & (0.0566) \tabularnewline
ITHSUM;SKEOU4 & 0.1728 & 0.1496 & 0.1305 \tabularnewline
p-value & (0.0872) & (0.1394) & (0.1277) \tabularnewline
ITHSUM;SKEOU5 & 0.2062 & 0.2151 & 0.1816 \tabularnewline
p-value & (0.0406) & (0.0325) & (0.0344) \tabularnewline
ITHSUM;SKEOU6 & 0.1372 & 0.1765 & 0.1511 \tabularnewline
p-value & (0.1756) & (0.0806) & (0.0778) \tabularnewline
Bevr_Leeftijd;TVDC & -0.0099 & 0.0219 & 0.0147 \tabularnewline
p-value & (0.9223) & (0.8295) & (0.8525) \tabularnewline
Bevr_Leeftijd;SKEOUSUM & 0.0349 & 0.0301 & 0.0226 \tabularnewline
p-value & (0.7315) & (0.7676) & (0.7748) \tabularnewline
Bevr_Leeftijd;SKEOU1 & 0.1093 & 0.0913 & 0.0754 \tabularnewline
p-value & (0.2814) & (0.369) & (0.3745) \tabularnewline
Bevr_Leeftijd;SKEOU2 & -0.0788 & -0.0829 & -0.0705 \tabularnewline
p-value & (0.4383) & (0.4147) & (0.4101) \tabularnewline
Bevr_Leeftijd;SKEOU3 & -0.0681 & -0.0129 & -0.0111 \tabularnewline
p-value & (0.5032) & (0.8994) & (0.8974) \tabularnewline
Bevr_Leeftijd;SKEOU4 & 0.0943 & 0.0928 & 0.0815 \tabularnewline
p-value & (0.3534) & (0.3607) & (0.3525) \tabularnewline
Bevr_Leeftijd;SKEOU5 & -0.0069 & 7e-04 & 9e-04 \tabularnewline
p-value & (0.946) & (0.9942) & (0.9916) \tabularnewline
Bevr_Leeftijd;SKEOU6 & 0.0725 & 0.0158 & 0.0122 \tabularnewline
p-value & (0.476) & (0.8769) & (0.8893) \tabularnewline
TVDC;SKEOUSUM & 0.4643 & 0.4131 & 0.3292 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TVDC;SKEOU1 & 0.3732 & 0.3796 & 0.3192 \tabularnewline
p-value & (1e-04) & (1e-04) & (1e-04) \tabularnewline
TVDC;SKEOU2 & 0.5276 & 0.4785 & 0.4061 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TVDC;SKEOU3 & 0.0499 & 0.0305 & 0.026 \tabularnewline
p-value & (0.624) & (0.7642) & (0.7587) \tabularnewline
TVDC;SKEOU4 & 0.2762 & 0.2809 & 0.2445 \tabularnewline
p-value & (0.0056) & (0.0048) & (0.0048) \tabularnewline
TVDC;SKEOU5 & 0.0798 & 0.1333 & 0.1112 \tabularnewline
p-value & (0.4321) & (0.1884) & (0.2004) \tabularnewline
TVDC;SKEOU6 & -0.0191 & -0.0013 & 0.0015 \tabularnewline
p-value & (0.8512) & (0.9897) & (0.9862) \tabularnewline
SKEOUSUM;SKEOU1 & 0.4867 & 0.5202 & 0.4342 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOUSUM;SKEOU2 & 0.6369 & 0.5792 & 0.5128 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOUSUM;SKEOU3 & 0.4718 & 0.4818 & 0.4095 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOUSUM;SKEOU4 & 0.3968 & 0.3599 & 0.317 \tabularnewline
p-value & (0) & (3e-04) & (2e-04) \tabularnewline
SKEOUSUM;SKEOU5 & 0.3738 & 0.3568 & 0.3067 \tabularnewline
p-value & (1e-04) & (3e-04) & (4e-04) \tabularnewline
SKEOUSUM;SKEOU6 & 0.4138 & 0.4297 & 0.3653 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOU1;SKEOU2 & 0.2444 & 0.2585 & 0.2305 \tabularnewline
p-value & (0.0148) & (0.0098) & (0.0112) \tabularnewline
SKEOU1;SKEOU3 & -0.0495 & -0.0186 & -0.0165 \tabularnewline
p-value & (0.6264) & (0.8548) & (0.8561) \tabularnewline
SKEOU1;SKEOU4 & 0.0862 & 0.1074 & 0.1014 \tabularnewline
p-value & (0.396) & (0.2901) & (0.2762) \tabularnewline
SKEOU1;SKEOU5 & 0 & 0.018 & 0.0175 \tabularnewline
p-value & (1) & (0.8593) & (0.8514) \tabularnewline
SKEOU1;SKEOU6 & -0.0101 & -0.0131 & -0.0117 \tabularnewline
p-value & (0.921) & (0.8974) & (0.9003) \tabularnewline
SKEOU2;SKEOU3 & 0.1543 & 0.1813 & 0.1662 \tabularnewline
p-value & (0.1272) & (0.0725) & (0.07) \tabularnewline
SKEOU2;SKEOU4 & 0.2524 & 0.1944 & 0.182 \tabularnewline
p-value & (0.0117) & (0.0538) & (0.0523) \tabularnewline
SKEOU2;SKEOU5 & 0.0813 & 0.1169 & 0.1081 \tabularnewline
p-value & (0.4238) & (0.2492) & (0.2503) \tabularnewline
SKEOU2;SKEOU6 & 0.022 & 0.0184 & 0.0188 \tabularnewline
p-value & (0.8291) & (0.8564) & (0.8413) \tabularnewline
SKEOU3;SKEOU4 & -0.0063 & 0.0387 & 0.0362 \tabularnewline
p-value & (0.9506) & (0.7039) & (0.7006) \tabularnewline
SKEOU3;SKEOU5 & -0.0725 & -0.073 & -0.0672 \tabularnewline
p-value & (0.4759) & (0.4725) & (0.4757) \tabularnewline
SKEOU3;SKEOU6 & 0.1523 & 0.1593 & 0.1469 \tabularnewline
p-value & (0.1324) & (0.1154) & (0.1184) \tabularnewline
SKEOU4;SKEOU5 & -0.0183 & -0.0312 & -0.0298 \tabularnewline
p-value & (0.8576) & (0.7595) & (0.7569) \tabularnewline
SKEOU4;SKEOU6 & -0.0451 & -0.0575 & -0.0543 \tabularnewline
p-value & (0.6574) & (0.5721) & (0.5722) \tabularnewline
SKEOU5;SKEOU6 & 0.1066 & 0.1386 & 0.1318 \tabularnewline
p-value & (0.2938) & (0.1712) & (0.1716) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=303902&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]ITHSUM;Bevr_Leeftijd[/C][C]0.0116[/C][C]0.0633[/C][C]0.0454[/C][/ROW]
[ROW][C]p-value[/C][C](0.9093)[/C][C](0.5335)[/C][C](0.5608)[/C][/ROW]
[ROW][C]ITHSUM;TVDC[/C][C]0.1152[/C][C]0.1734[/C][C]0.1337[/C][/ROW]
[ROW][C]p-value[/C][C](0.2561)[/C][C](0.0861)[/C][C](0.0836)[/C][/ROW]
[ROW][C]ITHSUM;SKEOUSUM[/C][C]0.3324[/C][C]0.3949[/C][C]0.3041[/C][/ROW]
[ROW][C]p-value[/C][C](8e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU1[/C][C]0.1461[/C][C]0.2126[/C][C]0.1778[/C][/ROW]
[ROW][C]p-value[/C][C](0.1491)[/C][C](0.0347)[/C][C](0.0321)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU2[/C][C]0.0964[/C][C]0.1105[/C][C]0.0903[/C][/ROW]
[ROW][C]p-value[/C][C](0.3425)[/C][C](0.2761)[/C][C](0.28)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU3[/C][C]0.1774[/C][C]0.1925[/C][C]0.1597[/C][/ROW]
[ROW][C]p-value[/C][C](0.079)[/C][C](0.0562)[/C][C](0.0566)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU4[/C][C]0.1728[/C][C]0.1496[/C][C]0.1305[/C][/ROW]
[ROW][C]p-value[/C][C](0.0872)[/C][C](0.1394)[/C][C](0.1277)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU5[/C][C]0.2062[/C][C]0.2151[/C][C]0.1816[/C][/ROW]
[ROW][C]p-value[/C][C](0.0406)[/C][C](0.0325)[/C][C](0.0344)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU6[/C][C]0.1372[/C][C]0.1765[/C][C]0.1511[/C][/ROW]
[ROW][C]p-value[/C][C](0.1756)[/C][C](0.0806)[/C][C](0.0778)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;TVDC[/C][C]-0.0099[/C][C]0.0219[/C][C]0.0147[/C][/ROW]
[ROW][C]p-value[/C][C](0.9223)[/C][C](0.8295)[/C][C](0.8525)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOUSUM[/C][C]0.0349[/C][C]0.0301[/C][C]0.0226[/C][/ROW]
[ROW][C]p-value[/C][C](0.7315)[/C][C](0.7676)[/C][C](0.7748)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU1[/C][C]0.1093[/C][C]0.0913[/C][C]0.0754[/C][/ROW]
[ROW][C]p-value[/C][C](0.2814)[/C][C](0.369)[/C][C](0.3745)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU2[/C][C]-0.0788[/C][C]-0.0829[/C][C]-0.0705[/C][/ROW]
[ROW][C]p-value[/C][C](0.4383)[/C][C](0.4147)[/C][C](0.4101)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU3[/C][C]-0.0681[/C][C]-0.0129[/C][C]-0.0111[/C][/ROW]
[ROW][C]p-value[/C][C](0.5032)[/C][C](0.8994)[/C][C](0.8974)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU4[/C][C]0.0943[/C][C]0.0928[/C][C]0.0815[/C][/ROW]
[ROW][C]p-value[/C][C](0.3534)[/C][C](0.3607)[/C][C](0.3525)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU5[/C][C]-0.0069[/C][C]7e-04[/C][C]9e-04[/C][/ROW]
[ROW][C]p-value[/C][C](0.946)[/C][C](0.9942)[/C][C](0.9916)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU6[/C][C]0.0725[/C][C]0.0158[/C][C]0.0122[/C][/ROW]
[ROW][C]p-value[/C][C](0.476)[/C][C](0.8769)[/C][C](0.8893)[/C][/ROW]
[ROW][C]TVDC;SKEOUSUM[/C][C]0.4643[/C][C]0.4131[/C][C]0.3292[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TVDC;SKEOU1[/C][C]0.3732[/C][C]0.3796[/C][C]0.3192[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]TVDC;SKEOU2[/C][C]0.5276[/C][C]0.4785[/C][C]0.4061[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TVDC;SKEOU3[/C][C]0.0499[/C][C]0.0305[/C][C]0.026[/C][/ROW]
[ROW][C]p-value[/C][C](0.624)[/C][C](0.7642)[/C][C](0.7587)[/C][/ROW]
[ROW][C]TVDC;SKEOU4[/C][C]0.2762[/C][C]0.2809[/C][C]0.2445[/C][/ROW]
[ROW][C]p-value[/C][C](0.0056)[/C][C](0.0048)[/C][C](0.0048)[/C][/ROW]
[ROW][C]TVDC;SKEOU5[/C][C]0.0798[/C][C]0.1333[/C][C]0.1112[/C][/ROW]
[ROW][C]p-value[/C][C](0.4321)[/C][C](0.1884)[/C][C](0.2004)[/C][/ROW]
[ROW][C]TVDC;SKEOU6[/C][C]-0.0191[/C][C]-0.0013[/C][C]0.0015[/C][/ROW]
[ROW][C]p-value[/C][C](0.8512)[/C][C](0.9897)[/C][C](0.9862)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU1[/C][C]0.4867[/C][C]0.5202[/C][C]0.4342[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU2[/C][C]0.6369[/C][C]0.5792[/C][C]0.5128[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU3[/C][C]0.4718[/C][C]0.4818[/C][C]0.4095[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU4[/C][C]0.3968[/C][C]0.3599[/C][C]0.317[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](3e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU5[/C][C]0.3738[/C][C]0.3568[/C][C]0.3067[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](3e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU6[/C][C]0.4138[/C][C]0.4297[/C][C]0.3653[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU2[/C][C]0.2444[/C][C]0.2585[/C][C]0.2305[/C][/ROW]
[ROW][C]p-value[/C][C](0.0148)[/C][C](0.0098)[/C][C](0.0112)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU3[/C][C]-0.0495[/C][C]-0.0186[/C][C]-0.0165[/C][/ROW]
[ROW][C]p-value[/C][C](0.6264)[/C][C](0.8548)[/C][C](0.8561)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU4[/C][C]0.0862[/C][C]0.1074[/C][C]0.1014[/C][/ROW]
[ROW][C]p-value[/C][C](0.396)[/C][C](0.2901)[/C][C](0.2762)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU5[/C][C]0[/C][C]0.018[/C][C]0.0175[/C][/ROW]
[ROW][C]p-value[/C][C](1)[/C][C](0.8593)[/C][C](0.8514)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU6[/C][C]-0.0101[/C][C]-0.0131[/C][C]-0.0117[/C][/ROW]
[ROW][C]p-value[/C][C](0.921)[/C][C](0.8974)[/C][C](0.9003)[/C][/ROW]
[ROW][C]SKEOU2;SKEOU3[/C][C]0.1543[/C][C]0.1813[/C][C]0.1662[/C][/ROW]
[ROW][C]p-value[/C][C](0.1272)[/C][C](0.0725)[/C][C](0.07)[/C][/ROW]
[ROW][C]SKEOU2;SKEOU4[/C][C]0.2524[/C][C]0.1944[/C][C]0.182[/C][/ROW]
[ROW][C]p-value[/C][C](0.0117)[/C][C](0.0538)[/C][C](0.0523)[/C][/ROW]
[ROW][C]SKEOU2;SKEOU5[/C][C]0.0813[/C][C]0.1169[/C][C]0.1081[/C][/ROW]
[ROW][C]p-value[/C][C](0.4238)[/C][C](0.2492)[/C][C](0.2503)[/C][/ROW]
[ROW][C]SKEOU2;SKEOU6[/C][C]0.022[/C][C]0.0184[/C][C]0.0188[/C][/ROW]
[ROW][C]p-value[/C][C](0.8291)[/C][C](0.8564)[/C][C](0.8413)[/C][/ROW]
[ROW][C]SKEOU3;SKEOU4[/C][C]-0.0063[/C][C]0.0387[/C][C]0.0362[/C][/ROW]
[ROW][C]p-value[/C][C](0.9506)[/C][C](0.7039)[/C][C](0.7006)[/C][/ROW]
[ROW][C]SKEOU3;SKEOU5[/C][C]-0.0725[/C][C]-0.073[/C][C]-0.0672[/C][/ROW]
[ROW][C]p-value[/C][C](0.4759)[/C][C](0.4725)[/C][C](0.4757)[/C][/ROW]
[ROW][C]SKEOU3;SKEOU6[/C][C]0.1523[/C][C]0.1593[/C][C]0.1469[/C][/ROW]
[ROW][C]p-value[/C][C](0.1324)[/C][C](0.1154)[/C][C](0.1184)[/C][/ROW]
[ROW][C]SKEOU4;SKEOU5[/C][C]-0.0183[/C][C]-0.0312[/C][C]-0.0298[/C][/ROW]
[ROW][C]p-value[/C][C](0.8576)[/C][C](0.7595)[/C][C](0.7569)[/C][/ROW]
[ROW][C]SKEOU4;SKEOU6[/C][C]-0.0451[/C][C]-0.0575[/C][C]-0.0543[/C][/ROW]
[ROW][C]p-value[/C][C](0.6574)[/C][C](0.5721)[/C][C](0.5722)[/C][/ROW]
[ROW][C]SKEOU5;SKEOU6[/C][C]0.1066[/C][C]0.1386[/C][C]0.1318[/C][/ROW]
[ROW][C]p-value[/C][C](0.2938)[/C][C](0.1712)[/C][C](0.1716)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=303902&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=303902&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
ITHSUM;Bevr_Leeftijd0.01160.06330.0454
p-value(0.9093)(0.5335)(0.5608)
ITHSUM;TVDC0.11520.17340.1337
p-value(0.2561)(0.0861)(0.0836)
ITHSUM;SKEOUSUM0.33240.39490.3041
p-value(8e-04)(1e-04)(1e-04)
ITHSUM;SKEOU10.14610.21260.1778
p-value(0.1491)(0.0347)(0.0321)
ITHSUM;SKEOU20.09640.11050.0903
p-value(0.3425)(0.2761)(0.28)
ITHSUM;SKEOU30.17740.19250.1597
p-value(0.079)(0.0562)(0.0566)
ITHSUM;SKEOU40.17280.14960.1305
p-value(0.0872)(0.1394)(0.1277)
ITHSUM;SKEOU50.20620.21510.1816
p-value(0.0406)(0.0325)(0.0344)
ITHSUM;SKEOU60.13720.17650.1511
p-value(0.1756)(0.0806)(0.0778)
Bevr_Leeftijd;TVDC-0.00990.02190.0147
p-value(0.9223)(0.8295)(0.8525)
Bevr_Leeftijd;SKEOUSUM0.03490.03010.0226
p-value(0.7315)(0.7676)(0.7748)
Bevr_Leeftijd;SKEOU10.10930.09130.0754
p-value(0.2814)(0.369)(0.3745)
Bevr_Leeftijd;SKEOU2-0.0788-0.0829-0.0705
p-value(0.4383)(0.4147)(0.4101)
Bevr_Leeftijd;SKEOU3-0.0681-0.0129-0.0111
p-value(0.5032)(0.8994)(0.8974)
Bevr_Leeftijd;SKEOU40.09430.09280.0815
p-value(0.3534)(0.3607)(0.3525)
Bevr_Leeftijd;SKEOU5-0.00697e-049e-04
p-value(0.946)(0.9942)(0.9916)
Bevr_Leeftijd;SKEOU60.07250.01580.0122
p-value(0.476)(0.8769)(0.8893)
TVDC;SKEOUSUM0.46430.41310.3292
p-value(0)(0)(0)
TVDC;SKEOU10.37320.37960.3192
p-value(1e-04)(1e-04)(1e-04)
TVDC;SKEOU20.52760.47850.4061
p-value(0)(0)(0)
TVDC;SKEOU30.04990.03050.026
p-value(0.624)(0.7642)(0.7587)
TVDC;SKEOU40.27620.28090.2445
p-value(0.0056)(0.0048)(0.0048)
TVDC;SKEOU50.07980.13330.1112
p-value(0.4321)(0.1884)(0.2004)
TVDC;SKEOU6-0.0191-0.00130.0015
p-value(0.8512)(0.9897)(0.9862)
SKEOUSUM;SKEOU10.48670.52020.4342
p-value(0)(0)(0)
SKEOUSUM;SKEOU20.63690.57920.5128
p-value(0)(0)(0)
SKEOUSUM;SKEOU30.47180.48180.4095
p-value(0)(0)(0)
SKEOUSUM;SKEOU40.39680.35990.317
p-value(0)(3e-04)(2e-04)
SKEOUSUM;SKEOU50.37380.35680.3067
p-value(1e-04)(3e-04)(4e-04)
SKEOUSUM;SKEOU60.41380.42970.3653
p-value(0)(0)(0)
SKEOU1;SKEOU20.24440.25850.2305
p-value(0.0148)(0.0098)(0.0112)
SKEOU1;SKEOU3-0.0495-0.0186-0.0165
p-value(0.6264)(0.8548)(0.8561)
SKEOU1;SKEOU40.08620.10740.1014
p-value(0.396)(0.2901)(0.2762)
SKEOU1;SKEOU500.0180.0175
p-value(1)(0.8593)(0.8514)
SKEOU1;SKEOU6-0.0101-0.0131-0.0117
p-value(0.921)(0.8974)(0.9003)
SKEOU2;SKEOU30.15430.18130.1662
p-value(0.1272)(0.0725)(0.07)
SKEOU2;SKEOU40.25240.19440.182
p-value(0.0117)(0.0538)(0.0523)
SKEOU2;SKEOU50.08130.11690.1081
p-value(0.4238)(0.2492)(0.2503)
SKEOU2;SKEOU60.0220.01840.0188
p-value(0.8291)(0.8564)(0.8413)
SKEOU3;SKEOU4-0.00630.03870.0362
p-value(0.9506)(0.7039)(0.7006)
SKEOU3;SKEOU5-0.0725-0.073-0.0672
p-value(0.4759)(0.4725)(0.4757)
SKEOU3;SKEOU60.15230.15930.1469
p-value(0.1324)(0.1154)(0.1184)
SKEOU4;SKEOU5-0.0183-0.0312-0.0298
p-value(0.8576)(0.7595)(0.7569)
SKEOU4;SKEOU6-0.0451-0.0575-0.0543
p-value(0.6574)(0.5721)(0.5722)
SKEOU5;SKEOU60.10660.13860.1318
p-value(0.2938)(0.1712)(0.1716)







Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.240.270.24
0.020.290.270.27
0.030.290.270.27
0.040.290.310.31
0.050.310.310.31
0.060.310.360.36
0.070.310.360.36
0.080.330.380.4
0.090.360.420.42
0.10.360.420.42

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Correlation Tests \tabularnewline
Number of significant by total number of Correlations \tabularnewline
Type I error & Pearson r & Spearman rho & Kendall tau \tabularnewline
0.01 & 0.24 & 0.27 & 0.24 \tabularnewline
0.02 & 0.29 & 0.27 & 0.27 \tabularnewline
0.03 & 0.29 & 0.27 & 0.27 \tabularnewline
0.04 & 0.29 & 0.31 & 0.31 \tabularnewline
0.05 & 0.31 & 0.31 & 0.31 \tabularnewline
0.06 & 0.31 & 0.36 & 0.36 \tabularnewline
0.07 & 0.31 & 0.36 & 0.36 \tabularnewline
0.08 & 0.33 & 0.38 & 0.4 \tabularnewline
0.09 & 0.36 & 0.42 & 0.42 \tabularnewline
0.1 & 0.36 & 0.42 & 0.42 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=303902&T=3

[TABLE]
[ROW][C]Meta Analysis of Correlation Tests[/C][/ROW]
[ROW][C]Number of significant by total number of Correlations[/C][/ROW]
[ROW][C]Type I error[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]0.01[/C][C]0.24[/C][C]0.27[/C][C]0.24[/C][/ROW]
[ROW][C]0.02[/C][C]0.29[/C][C]0.27[/C][C]0.27[/C][/ROW]
[ROW][C]0.03[/C][C]0.29[/C][C]0.27[/C][C]0.27[/C][/ROW]
[ROW][C]0.04[/C][C]0.29[/C][C]0.31[/C][C]0.31[/C][/ROW]
[ROW][C]0.05[/C][C]0.31[/C][C]0.31[/C][C]0.31[/C][/ROW]
[ROW][C]0.06[/C][C]0.31[/C][C]0.36[/C][C]0.36[/C][/ROW]
[ROW][C]0.07[/C][C]0.31[/C][C]0.36[/C][C]0.36[/C][/ROW]
[ROW][C]0.08[/C][C]0.33[/C][C]0.38[/C][C]0.4[/C][/ROW]
[ROW][C]0.09[/C][C]0.36[/C][C]0.42[/C][C]0.42[/C][/ROW]
[ROW][C]0.1[/C][C]0.36[/C][C]0.42[/C][C]0.42[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=303902&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=303902&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.240.270.24
0.020.290.270.27
0.030.290.270.27
0.040.290.310.31
0.050.310.310.31
0.060.310.360.36
0.070.310.360.36
0.080.330.380.4
0.090.360.420.42
0.10.360.420.42



Parameters (Session):
par1 = 12 ; par2 = Double ; par3 = additive ; par4 = 12 ;
Parameters (R input):
par1 = kendall ;
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
x <- na.omit(x)
y <- t(na.omit(t(y)))
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
print(n)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
ncorrs <- (n*n -n)/2
mycorrs <- array(0, dim=c(10,3))
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)
for (iii in 1:10) {
iiid100 <- iii / 100
if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1
if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1
if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1
}
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type I error',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)
for (iii in 1:10) {
iiid100 <- iii / 100
a<-table.row.start(a)
a<-table.element(a,round(iiid100,2),header=T)
a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')