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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 11 Dec 2012 12:49:41 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/11/t135524820308hpw4ybtypkjci.htm/, Retrieved Fri, 19 Apr 2024 20:58:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198594, Retrieved Fri, 19 Apr 2024 20:58:13 +0000
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Estimated Impact58
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-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [workshop 10 task 2] [2012-12-11 17:49:41] [2382f403a285d81cd69bebfa1420b1d7] [Current]
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Dataseries X:
3.7	5.1	6.8	4.9	8.5	4.3	5
4.9	4.3	5.3	7.9	8.2	4	3.9
4.5	4	4.5	7.4	9.2	4.6	5.4
3	4.1	8.8	4.7	6.4	3.6	4.3
3.5	3.5	6.8	6	9	4.5	4.5
3.3	4.7	8.5	4.3	6.5	9.5	3.6
2	4.2	8.9	2.3	6.9	2.5	2.1
3.7	6.3	6.9	3.6	6.2	4.8	4.3
4.6	6.1	9.3	5.9	5.8	4.4	4.4
4.4	5.8	8.4	5.7	6.4	5.3	4.1
4	3.7	6.8	6.8	8.7	7.5	3.8
3.2	4.9	8.2	3.9	6.1	5.9	3
4.4	4.5	7.6	6.9	9.5	5.3	5.1
4.2	2.6	7.1	8.4	9.2	3	4.5
5.2	6.2	8.8	6.8	6.3	5.4	4.8
4.5	3.9	4.9	7.8	8.7	5	4.3
4.5	6.2	6.2	5.5	5.7	5.4	4.2
4.8	5.8	8.4	6.4	5.9	6.3	5.7
4.5	6	9.1	5.7	5.6	6.1	5
4.4	6.1	8.4	5.3	9.1	6.7	4.5
3.3	4.9	8.4	4.3	5.2	4.6	3.3
4.3	3	4.5	8.3	9.6	6.5	4.3
4	3.4	3.7	7.3	8.6	6	4.8
4.5	4.4	6.2	7.2	9.3	4.2	6.7
4	5.3	8	5.3	6	3.9	4.7
3.9	6.6	7.1	3.9	6.4	3.7	5.6
4.4	3.8	4.8	7.6	8.5	6.7	5.3
3.7	5.2	9	4.8	7	5.9	4.3
4.4	3.8	4.8	7.6	8.5	6	5.7
3.5	5.5	7.7	4.2	7.6	7.2	4.7
3.3	2.7	5.2	6.4	6.9	3.3	3.7
3	3.5	6.6	5.1	8.1	6.1	3
3.4	4.5	9.2	5.1	6.7	4.2	3.5
4.2	6.6	8.7	4.6	8	3.8	4.7
3.5	4.3	8.4	5.4	6.7	6	2.5
2.5	2.9	5.6	6.1	8.7	6.5	3.1
3.5	3.5	6.8	6	9	4.3	3.9
4.9	4.6	7.7	7.7	9.6	4.4	5.2
4.5	6.9	9	4.9	8.2	7.1	4.7
3.2	4.9	8.2	3.9	6.1	6.8	4.5
3.9	5.8	9.1	4.6	8.3	1.7	4.6
4.1	4.5	8.5	6.5	9.4	6.2	4.1
4.3	4.6	7.4	6.6	9.3	4.1	4.6
4.5	6.3	5.9	5.4	5.1	5.2	4.9
4.7	4.2	5.2	7.7	8	3.9	4.3
4.8	5.8	8.4	6.4	5.9	5.1	5.2
3.5	4	3.8	5.4	10	3.7	5
5.2	7.3	8.2	5.7	5.7	4.8	6.5
3.9	3.4	6.8	7	9.9	7.2	4.5
4.3	4.2	4.7	6.9	7.9	3.6	4.1
2.8	3.6	7.2	4.7	6.7	5.3	4
4.9	4.3	5.3	7.9	8.2	5	4.5
4.6	4.6	6.3	7.3	9.4	9.2	4.7
3.3	2.7	5.2	6.4	6.9	4.4	3.2
4.2	6.6	8.7	4.6	8	4.2	4.9
3.4	3.2	7.4	6.4	9.3	5.9	4.1
5.5	6.5	9.6	7.2	7.4	7.4	5.7
4	3.9	4.4	6.6	7.6	6.4	4.6
3.5	4	3.8	5.4	10	4.5	3.7
4	4.9	5.4	5.8	9.9	7	5.6
4.5	3.9	4.9	7.8	8.7	4.5	5.4
3.6	5	6.7	4.7	8.4	4.2	2.7
2.9	3.7	5.8	4.7	8.8	7.2	4.4
2.6	3.1	6.2	4.7	7.7	4.7	3.3
2.8	3.6	7.2	4.7	6.6	3.9	3.5
5.2	7.3	8.2	5.7	5.7	5	4.7
4.5	6.2	6.2	5.5	5.7	6.4	5
4.3	5.9	6	5.3	5.5	2.5	4.5
3.4	5.4	7.6	4.1	7.5	5.2	4
3.9	6.6	7.1	3.9	6.4	5.5	4.7
4.4	6.1	8.4	5.3	9.1	5.7	5.4
3.1	2.6	5	6.3	6.7	2.5	2.9
4.6	5.6	8.7	6.3	6.5	6.3	4.6
3.9	3.4	6.8	7	9.9	4.6	4.1
3.7	5.1	6.8	4.9	8.5	3.6	4.4
3.8	4.3	4.9	5.9	9.9	7.6	3.1
3.9	5.8	7.4	4.6	7.6	6.6	4.5
4.1	4.5	8.5	6.5	9.4	2.4	4.3
4.6	4.1	4.6	7.5	9.3	3.1	5.2
2.7	3.1	7.8	5	7.1	3.5	2.6
3.8	4.3	4.9	5.9	9.9	6.9	3.2
4	3.7	6.8	6.8	8.7	5.1	4.3
3	3	6.3	5.6	8.6	4	2.7
1.6	3.7	8.4	2.9	6.4	6.5	2
4.3	3.9	5.9	7.2	7.7	4.1	4.7
3.4	5.4	7.6	4.1	7.5	2.8	3.4
3.1	4.8	8.2	4.2	5	7.6	2.4
4.3	3.9	5.9	7.2	7.7	7.7	5.1
3.9	4.3	8.3	6.2	9.1	4.1	4.6
4.9	6.7	6.3	5.7	5.5	4.9	5.5
3.3	3	7.3	6.3	9.1	4.6	4.4
2.4	4	9.9	3.3	7.1	3.5	2
4.2	2.6	7.1	8.4	9.2	6.6	4.4
4.6	4.1	4.6	7.5	9.3	4.9	4.8
3.4	3.2	7.4	6.4	9.3	4.8	3.6
3.6	3.6	6.7	6	8.6	3.6	4.9
3.7	5.6	7.2	4.4	7.4	6.4	4.2
2.5	2.9	5.6	6.1	8.7	4.3	3.1
3.9	4.9	7.9	5.3	7.8	5.7	4.3
3.5	5.4	9.7	4.2	7.9	5.8	3.4
3.5	5.5	7.7	4.2	7.6	5.1	3.1
4.2	4.6	7.3	6.5	9.2	8.6	5.1
3.7	4.7	7.7	5.2	7.7	5.4	4
4.4	4.5	7.6	6.9	9.5	4.4	5.6
4.6	5.6	8.7	6.3	6.5	6.9	5
3.9	5.8	9.1	4.6	8.3	5.2	4.2
4.9	4.6	7.7	7.7	9.6	5.5	4.4
5.4	7.5	8.4	5.9	5.9	5.3	5.8
4.2	3.5	3.8	7.4	8.7	5.7	4.6
3.1	2.6	5	6.3	6.7	6.5	3.8
4.1	3.4	6.7	7.5	9.7	5.2	3.7
3.9	2.3	6.7	8.1	8.8	2.7	4
4.5	6.9	9	4.9	8.2	4.3	4.5
4.2	5.9	8.2	5.1	8.9	6.7	4.2
3.6	5	6.7	4.7	8.4	6.6	4
3.7	4.7	7.7	5.2	7.7	7.4	5.1
4.2	4.6	7.3	6.5	9.2	8.9	4.2
2.9	3.3	8	5.2	7.3	3.7	2.8
3.1	3.9	6	4.8	9	4.9	3.3
3	3.5	6.6	5.1	8.1	6.2	2.6
5.5	6.5	9.6	7.2	7.4	4.3	5.7
3.5	5.4	9.7	4.2	7.9	4.6	4.8
2.6	3.1	6.2	4.7	7.7	4.3	3.2
4.6	4.6	6.3	7.3	9.4	5.4	5.8
2.5	4.1	10	3.4	7.2	3.6	3.2
3.1	2.9	5.3	6.1	8.3	7.4	4.1
4.3	4.2	4.7	6.9	7.9	6.7	4.6
2.9	3.3	8	5.2	7.3	2.9	3.3
4.3	3	4.5	8.2	9.6	4.8	4.4
2.1	2.5	5.2	5.7	8.3	2.8	1.2
4	3.4	3.7	7.3	8.6	5.2	5
4.7	4.2	5.2	7.7	8	6.8	4.6
1.6	3.7	8.4	2.9	6.4	7	2.4
3.3	4.1	8.2	5.3	6.6	2.9	4.3
4.2	3.8	5.8	7.1	7.6	6.2	3.6
4.4	3.7	7.6	7.8	9.4	6	5.1
2.1	2.5	5.2	5.7	8.3	4.2	1.8
3.9	4.9	7.9	5.3	7.8	5.2	4.1
2.4	4	9.9	3.3	7.1	3.1	2.8
3.9	5.8	7.4	4.6	7.6	5.3	4.4
4.5	6	9.1	5.7	5.6	6	4.5
4	4.9	5.4	5.8	9.9	6.8	4
4.5	4	4.5	7.4	9.2	6.1	4.2
4.2	3.4	7.3	7.5	9.1	5.2	4.5
3.5	4	3.8	5.4	9.9	8	3.8
3.5	4	3.8	5.4	9.9	6.2	4.1
3.3	4.1	8.2	5.3	6.6	3.5	4.6
3.3	3	7.3	6.3	9.1	6.5	3.7
4.5	6.3	5.9	5.4	5.1	3.9	5.1
4	5.3	8	5.3	6	3.6	4.3
4.2	5.9	8.2	5.1	8.9	3.8	5
3.7	6.3	6.9	3.6	6.2	4.7	4
2.5	4.1	10	3.4	7.2	2.9	3
3.9	2.3	6.7	8.1	8.8	5.6	4.1
3.4	5.1	8.4	4.1	6.3	4.2	4.4
3.6	4.1	4.8	5.7	9.7	1.6	4
3.1	4.8	8.2	4.2	5	4	3.7
3.7	5.6	7.2	4.4	7.4	5.1	4
4.3	5.9	6	5.3	5.5	6	4.3
3.9	4.3	8.3	6.2	9.1	6.1	4.6
3.4	4.5	9.2	5.1	6.7	5.6	3.7
5.2	6.2	8.8	6.8	6.3	6.5	6.4
3.1	2.9	5.3	6.1	8.3	5.5	3.6
3	2.8	5.2	6	8.2	5.9	4.7
3	2.8	5.2	6	8.2	6.2	4
3.1	3.9	6	4.8	9	5.6	4.3
2.7	3.1	7.8	5	7.1	7.2	3.6
2	4.2	8.9	2.3	6.9	3.4	2.7
3	3	6.3	5.6	8.6	5.1	4
3.5	4.3	8.4	5.4	6.7	4	3.8
3.7	5.2	9	4.8	7	5.3	3.3
3.8	4.7	5.2	5.6	9.7	8.4	4.5
3.9	3.4	6.8	7	9.9	8	5
3.6	3.6	6.7	6	8.6	2.8	4.8
3.4	5.1	8.4	4.1	6.3	2.4	2.8
3.9	3.4	6.8	7	9.9	5.2	4.3
4.5	4.4	6.2	7.2	9.3	4.1	4
4.1	3.4	6.7	7.5	9.7	6.1	4.9
3.8	4.7	5.2	5.6	9.7	7.1	4.6
4.3	3	4.5	8.3	9.6	6.2	4
4.2	3.8	5.8	7.1	7.6	5.5	4.4
4.4	3.7	7.6	7.8	9.4	6.5	4.7
4.3	3	4.5	8.2	9.6	5.6	4.6
4.3	4.6	7.4	6.6	9.3	5.7	4.4
3.6	4.1	4.8	5.7	9.7	6.3	4.7
4.2	3.4	7.3	7.5	9.1	5.1	6
3.3	4.7	8.5	4.3	6.5	4.8	4.3
2.8	3.6	7.2	4.7	6.6	4.8	3.2
4.6	6.1	9.3	5.9	5.8	3.4	5.9
4.2	3.5	3.8	7.4	8.7	3.6	5.5
2.9	3.7	5.8	4.7	8.8	5.8	3.8
4.4	5.8	8.4	5.7	6.4	5	4
2.8	3.6	7.2	4.7	6.7	5	2.9
3.3	4.9	8.4	4.3	5.2	3.6	4.3
3	4.1	8.8	4.7	6.4	7	3.6
4	3.9	4.4	6.6	7.6	6.8	4.4
5.4	7.5	8.4	5.9	5.9	6.6	6
4.2	3.5	6.8	7.6	9.7	5.2	4.4
4.9	6.7	6.3	5.7	5.5	5.3	5.9
4.2	3.5	6.8	7.6	9.7	1.2	4.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=198594&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=198594&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198594&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'George Udny Yule' @ yule.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Correlations for all pairs of data series (method=kendall)
LeveringssnelheidPrijsflexibiliteitPrijszettingProductgammaProductkwaliteitProductontwikkelingFacturatie
Leveringssnelheid10.336-0.030.4310.070.0980.558
Prijsflexibiliteit0.33610.337-0.255-0.3050.0280.262
Prijszetting-0.030.3371-0.325-0.295-0.082-0.03
Productgamma0.431-0.255-0.32510.3580.0930.286
Productkwaliteit0.07-0.305-0.2950.35810.1060.068
Productontwikkeling0.0980.028-0.0820.0930.10610.086
Facturatie 0.5580.262-0.030.2860.0680.0861

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Leveringssnelheid & Prijsflexibiliteit & Prijszetting & Productgamma & Productkwaliteit & Productontwikkeling & Facturatie
 \tabularnewline
Leveringssnelheid & 1 & 0.336 & -0.03 & 0.431 & 0.07 & 0.098 & 0.558 \tabularnewline
Prijsflexibiliteit & 0.336 & 1 & 0.337 & -0.255 & -0.305 & 0.028 & 0.262 \tabularnewline
Prijszetting & -0.03 & 0.337 & 1 & -0.325 & -0.295 & -0.082 & -0.03 \tabularnewline
Productgamma & 0.431 & -0.255 & -0.325 & 1 & 0.358 & 0.093 & 0.286 \tabularnewline
Productkwaliteit & 0.07 & -0.305 & -0.295 & 0.358 & 1 & 0.106 & 0.068 \tabularnewline
Productontwikkeling & 0.098 & 0.028 & -0.082 & 0.093 & 0.106 & 1 & 0.086 \tabularnewline
Facturatie
 & 0.558 & 0.262 & -0.03 & 0.286 & 0.068 & 0.086 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198594&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Leveringssnelheid[/C][C]Prijsflexibiliteit[/C][C]Prijszetting[/C][C]Productgamma[/C][C]Productkwaliteit[/C][C]Productontwikkeling[/C][C]Facturatie
[/C][/ROW]
[ROW][C]Leveringssnelheid[/C][C]1[/C][C]0.336[/C][C]-0.03[/C][C]0.431[/C][C]0.07[/C][C]0.098[/C][C]0.558[/C][/ROW]
[ROW][C]Prijsflexibiliteit[/C][C]0.336[/C][C]1[/C][C]0.337[/C][C]-0.255[/C][C]-0.305[/C][C]0.028[/C][C]0.262[/C][/ROW]
[ROW][C]Prijszetting[/C][C]-0.03[/C][C]0.337[/C][C]1[/C][C]-0.325[/C][C]-0.295[/C][C]-0.082[/C][C]-0.03[/C][/ROW]
[ROW][C]Productgamma[/C][C]0.431[/C][C]-0.255[/C][C]-0.325[/C][C]1[/C][C]0.358[/C][C]0.093[/C][C]0.286[/C][/ROW]
[ROW][C]Productkwaliteit[/C][C]0.07[/C][C]-0.305[/C][C]-0.295[/C][C]0.358[/C][C]1[/C][C]0.106[/C][C]0.068[/C][/ROW]
[ROW][C]Productontwikkeling[/C][C]0.098[/C][C]0.028[/C][C]-0.082[/C][C]0.093[/C][C]0.106[/C][C]1[/C][C]0.086[/C][/ROW]
[ROW][C]Facturatie
[/C][C]0.558[/C][C]0.262[/C][C]-0.03[/C][C]0.286[/C][C]0.068[/C][C]0.086[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198594&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198594&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)
LeveringssnelheidPrijsflexibiliteitPrijszettingProductgammaProductkwaliteitProductontwikkelingFacturatie
Leveringssnelheid10.336-0.030.4310.070.0980.558
Prijsflexibiliteit0.33610.337-0.255-0.3050.0280.262
Prijszetting-0.030.3371-0.325-0.295-0.082-0.03
Productgamma0.431-0.255-0.32510.3580.0930.286
Productkwaliteit0.07-0.305-0.2950.35810.1060.068
Productontwikkeling0.0980.028-0.0820.0930.10610.086
Facturatie 0.5580.262-0.030.2860.0680.0861







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Leveringssnelheid;Prijsflexibiliteit0.5130.46520.3362
p-value(0)(0)(0)
Leveringssnelheid;Prijszetting-0.0552-0.0514-0.0302
p-value(0.4379)(0.4694)(0.539)
Leveringssnelheid;Productgamma0.61190.6040.4311
p-value(0)(0)(0)
Leveringssnelheid;Productkwaliteit0.06660.08230.07
p-value(0.3486)(0.2464)(0.1535)
Leveringssnelheid;Productontwikkeling0.14730.14380.0983
p-value(0.0374)(0.0421)(0.0445)
Leveringssnelheid;Facturatie 0.7730.72740.5584
p-value(0)(0)(0)
Prijsflexibiliteit;Prijszetting0.46970.4980.3374
p-value(0)(0)(0)
Prijsflexibiliteit;Productgamma-0.3492-0.3928-0.2552
p-value(0)(0)(0)
Prijsflexibiliteit;Productkwaliteit-0.4872-0.4555-0.3049
p-value(0)(0)(0)
Prijsflexibiliteit;Productontwikkeling0.0470.04150.0285
p-value(0.5085)(0.5595)(0.5572)
Prijsflexibiliteit;Facturatie 0.41930.37490.2624
p-value(0)(0)(0)
Prijszetting;Productgamma-0.4826-0.4781-0.3252
p-value(0)(0)(0)
Prijszetting;Productkwaliteit-0.4481-0.4572-0.2951
p-value(0)(0)(0)
Prijszetting;Productontwikkeling-0.1213-0.1221-0.0818
p-value(0.087)(0.0851)(0.0921)
Prijszetting;Facturatie -0.0605-0.0444-0.0297
p-value(0.3949)(0.5329)(0.5447)
Productgamma;Productkwaliteit0.50930.51970.3577
p-value(0)(0)(0)
Productgamma;Productontwikkeling0.12640.13390.0929
p-value(0.0745)(0.0588)(0.0553)
Productgamma;Facturatie 0.44350.4110.2858
p-value(0)(0)(0)
Productkwaliteit;Productontwikkeling0.13560.15190.1059
p-value(0.0555)(0.0317)(0.0289)
Productkwaliteit;Facturatie 0.0830.09380.0677
p-value(0.2424)(0.1866)(0.1659)
Productontwikkeling;Facturatie 0.13710.12360.0857
p-value(0.0529)(0.0812)(0.0787)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Leveringssnelheid;Prijsflexibiliteit & 0.513 & 0.4652 & 0.3362 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Leveringssnelheid;Prijszetting & -0.0552 & -0.0514 & -0.0302 \tabularnewline
p-value & (0.4379) & (0.4694) & (0.539) \tabularnewline
Leveringssnelheid;Productgamma & 0.6119 & 0.604 & 0.4311 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Leveringssnelheid;Productkwaliteit & 0.0666 & 0.0823 & 0.07 \tabularnewline
p-value & (0.3486) & (0.2464) & (0.1535) \tabularnewline
Leveringssnelheid;Productontwikkeling & 0.1473 & 0.1438 & 0.0983 \tabularnewline
p-value & (0.0374) & (0.0421) & (0.0445) \tabularnewline
Leveringssnelheid;Facturatie
 & 0.773 & 0.7274 & 0.5584 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Prijsflexibiliteit;Prijszetting & 0.4697 & 0.498 & 0.3374 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Prijsflexibiliteit;Productgamma & -0.3492 & -0.3928 & -0.2552 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Prijsflexibiliteit;Productkwaliteit & -0.4872 & -0.4555 & -0.3049 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Prijsflexibiliteit;Productontwikkeling & 0.047 & 0.0415 & 0.0285 \tabularnewline
p-value & (0.5085) & (0.5595) & (0.5572) \tabularnewline
Prijsflexibiliteit;Facturatie
 & 0.4193 & 0.3749 & 0.2624 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Prijszetting;Productgamma & -0.4826 & -0.4781 & -0.3252 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Prijszetting;Productkwaliteit & -0.4481 & -0.4572 & -0.2951 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Prijszetting;Productontwikkeling & -0.1213 & -0.1221 & -0.0818 \tabularnewline
p-value & (0.087) & (0.0851) & (0.0921) \tabularnewline
Prijszetting;Facturatie
 & -0.0605 & -0.0444 & -0.0297 \tabularnewline
p-value & (0.3949) & (0.5329) & (0.5447) \tabularnewline
Productgamma;Productkwaliteit & 0.5093 & 0.5197 & 0.3577 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Productgamma;Productontwikkeling & 0.1264 & 0.1339 & 0.0929 \tabularnewline
p-value & (0.0745) & (0.0588) & (0.0553) \tabularnewline
Productgamma;Facturatie
 & 0.4435 & 0.411 & 0.2858 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Productkwaliteit;Productontwikkeling & 0.1356 & 0.1519 & 0.1059 \tabularnewline
p-value & (0.0555) & (0.0317) & (0.0289) \tabularnewline
Productkwaliteit;Facturatie
 & 0.083 & 0.0938 & 0.0677 \tabularnewline
p-value & (0.2424) & (0.1866) & (0.1659) \tabularnewline
Productontwikkeling;Facturatie
 & 0.1371 & 0.1236 & 0.0857 \tabularnewline
p-value & (0.0529) & (0.0812) & (0.0787) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198594&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]Leveringssnelheid;Prijsflexibiliteit[/C][C]0.513[/C][C]0.4652[/C][C]0.3362[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Leveringssnelheid;Prijszetting[/C][C]-0.0552[/C][C]-0.0514[/C][C]-0.0302[/C][/ROW]
[ROW][C]p-value[/C][C](0.4379)[/C][C](0.4694)[/C][C](0.539)[/C][/ROW]
[ROW][C]Leveringssnelheid;Productgamma[/C][C]0.6119[/C][C]0.604[/C][C]0.4311[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Leveringssnelheid;Productkwaliteit[/C][C]0.0666[/C][C]0.0823[/C][C]0.07[/C][/ROW]
[ROW][C]p-value[/C][C](0.3486)[/C][C](0.2464)[/C][C](0.1535)[/C][/ROW]
[ROW][C]Leveringssnelheid;Productontwikkeling[/C][C]0.1473[/C][C]0.1438[/C][C]0.0983[/C][/ROW]
[ROW][C]p-value[/C][C](0.0374)[/C][C](0.0421)[/C][C](0.0445)[/C][/ROW]
[ROW][C]Leveringssnelheid;Facturatie
[/C][C]0.773[/C][C]0.7274[/C][C]0.5584[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Prijsflexibiliteit;Prijszetting[/C][C]0.4697[/C][C]0.498[/C][C]0.3374[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Prijsflexibiliteit;Productgamma[/C][C]-0.3492[/C][C]-0.3928[/C][C]-0.2552[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Prijsflexibiliteit;Productkwaliteit[/C][C]-0.4872[/C][C]-0.4555[/C][C]-0.3049[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Prijsflexibiliteit;Productontwikkeling[/C][C]0.047[/C][C]0.0415[/C][C]0.0285[/C][/ROW]
[ROW][C]p-value[/C][C](0.5085)[/C][C](0.5595)[/C][C](0.5572)[/C][/ROW]
[ROW][C]Prijsflexibiliteit;Facturatie
[/C][C]0.4193[/C][C]0.3749[/C][C]0.2624[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Prijszetting;Productgamma[/C][C]-0.4826[/C][C]-0.4781[/C][C]-0.3252[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Prijszetting;Productkwaliteit[/C][C]-0.4481[/C][C]-0.4572[/C][C]-0.2951[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Prijszetting;Productontwikkeling[/C][C]-0.1213[/C][C]-0.1221[/C][C]-0.0818[/C][/ROW]
[ROW][C]p-value[/C][C](0.087)[/C][C](0.0851)[/C][C](0.0921)[/C][/ROW]
[ROW][C]Prijszetting;Facturatie
[/C][C]-0.0605[/C][C]-0.0444[/C][C]-0.0297[/C][/ROW]
[ROW][C]p-value[/C][C](0.3949)[/C][C](0.5329)[/C][C](0.5447)[/C][/ROW]
[ROW][C]Productgamma;Productkwaliteit[/C][C]0.5093[/C][C]0.5197[/C][C]0.3577[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Productgamma;Productontwikkeling[/C][C]0.1264[/C][C]0.1339[/C][C]0.0929[/C][/ROW]
[ROW][C]p-value[/C][C](0.0745)[/C][C](0.0588)[/C][C](0.0553)[/C][/ROW]
[ROW][C]Productgamma;Facturatie
[/C][C]0.4435[/C][C]0.411[/C][C]0.2858[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Productkwaliteit;Productontwikkeling[/C][C]0.1356[/C][C]0.1519[/C][C]0.1059[/C][/ROW]
[ROW][C]p-value[/C][C](0.0555)[/C][C](0.0317)[/C][C](0.0289)[/C][/ROW]
[ROW][C]Productkwaliteit;Facturatie
[/C][C]0.083[/C][C]0.0938[/C][C]0.0677[/C][/ROW]
[ROW][C]p-value[/C][C](0.2424)[/C][C](0.1866)[/C][C](0.1659)[/C][/ROW]
[ROW][C]Productontwikkeling;Facturatie
[/C][C]0.1371[/C][C]0.1236[/C][C]0.0857[/C][/ROW]
[ROW][C]p-value[/C][C](0.0529)[/C][C](0.0812)[/C][C](0.0787)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198594&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198594&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
Leveringssnelheid;Prijsflexibiliteit0.5130.46520.3362
p-value(0)(0)(0)
Leveringssnelheid;Prijszetting-0.0552-0.0514-0.0302
p-value(0.4379)(0.4694)(0.539)
Leveringssnelheid;Productgamma0.61190.6040.4311
p-value(0)(0)(0)
Leveringssnelheid;Productkwaliteit0.06660.08230.07
p-value(0.3486)(0.2464)(0.1535)
Leveringssnelheid;Productontwikkeling0.14730.14380.0983
p-value(0.0374)(0.0421)(0.0445)
Leveringssnelheid;Facturatie 0.7730.72740.5584
p-value(0)(0)(0)
Prijsflexibiliteit;Prijszetting0.46970.4980.3374
p-value(0)(0)(0)
Prijsflexibiliteit;Productgamma-0.3492-0.3928-0.2552
p-value(0)(0)(0)
Prijsflexibiliteit;Productkwaliteit-0.4872-0.4555-0.3049
p-value(0)(0)(0)
Prijsflexibiliteit;Productontwikkeling0.0470.04150.0285
p-value(0.5085)(0.5595)(0.5572)
Prijsflexibiliteit;Facturatie 0.41930.37490.2624
p-value(0)(0)(0)
Prijszetting;Productgamma-0.4826-0.4781-0.3252
p-value(0)(0)(0)
Prijszetting;Productkwaliteit-0.4481-0.4572-0.2951
p-value(0)(0)(0)
Prijszetting;Productontwikkeling-0.1213-0.1221-0.0818
p-value(0.087)(0.0851)(0.0921)
Prijszetting;Facturatie -0.0605-0.0444-0.0297
p-value(0.3949)(0.5329)(0.5447)
Productgamma;Productkwaliteit0.50930.51970.3577
p-value(0)(0)(0)
Productgamma;Productontwikkeling0.12640.13390.0929
p-value(0.0745)(0.0588)(0.0553)
Productgamma;Facturatie 0.44350.4110.2858
p-value(0)(0)(0)
Productkwaliteit;Productontwikkeling0.13560.15190.1059
p-value(0.0555)(0.0317)(0.0289)
Productkwaliteit;Facturatie 0.0830.09380.0677
p-value(0.2424)(0.1866)(0.1659)
Productontwikkeling;Facturatie 0.13710.12360.0857
p-value(0.0529)(0.0812)(0.0787)



Parameters (Session):
par1 = kendall ;
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$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')