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*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 12 Dec 2014 11:08:24 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/12/t1418382515pyz5uoe3kmyby3y.htm/, Retrieved Thu, 16 May 2024 16:34:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266510, Retrieved Thu, 16 May 2024 16:34:15 +0000

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Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Stem-and-leaf Plot] [] [2013-10-01 09:27:37] [0307e7a6407eb638caabc417e3a6b260]
- RMPD    [Kendall tau Correlation Matrix] [] [2014-12-12 11:08:24] [6b98cd673f8ceafd4bac153bb0cb23e9] [Current]

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4 2 2 2 2 2 2 1 2 3 2 2
4 5 4 5 5 4 5 5 5 5 5 5
3 1 3 3 2 3 5 3 3 5 3 3
6 5 7 6 4 6 6 5 6 6 5 5
4 3 3 4 3 4 4 3 5 3 3 4
4 4 5 4 4 5 4 4 5 5 4 4
5 5 5 5 4 5 5 5 1 4 3 5
5 3 4 3 2 4 6 2 4 5 2 3
7 7 7 7 7 7 7 7 7 7 7 7
7 6 5 6 6 5 7 6 6 6 2 5
3 5 3 4 3 5 3 5 5 5 3 5
7 4 6 7 6 5 6 6 6 6 6 5
2 3 2 3 5 5 5 4 6 6 5 6
5 3 5 5 3 5 7 3 6 7 3 6
6 2 5 5 5 6 7 5 7 7 6 7
5 5 4 5 5 5 6 5 6 6 5 5
4 3 4 3 3 4 4 3 5 4 3 3
6 4 5 5 4 5 5 4 4 5 4 5
5 3 5 5 4 4 6 4 4 6 5 5
7 7 6 6 4 7 7 4 6 7 6 7
7 6 6 5 3 6 7 3 5 7 3 7
7 5 5 7 4 5 6 4 5 6 4 5
6 4 5 6 5 4 5 4 5 5 4 5
5 4 3 4 3 5 6 4 6 6 6 5
5 5 6 6 4 6 5 4 5 6 5 6
4 4 5 5 4 5 6 3 4 5 4 4
5 6 4 6 6 5 4 3 3 6 5 4
5 5 4 5 3 5 5 2 4 5 3 5
6 6 4 5 5 6 5 5 6 6 5 5
6 4 4 5 2 5 4 4 5 6 2 6
2 1 3 2 3 5 2 1 5 2 1 2
6 4 5 5 4 5 6 2 5 5 3 4
3 5 4 5 5 5 7 4 6 5 5 4
6 4 2 6 1 1 6 1 2 6 6 2
4 4 3 5 4 5 4 3 6 4 3 6
3 2 5 5 3 5 5 5 5 7 3 5
7 2 5 6 4 6 5 3 3 5 3 5
5 4 5 5 4 4 5 4 6 5 5 4
5 4 5 5 5 5 6 5 5 6 5 5
4 2 4 4 3 3 5 2 4 6 3 7
4 2 4 4 3 3 4 2 5 3 3 2
6 2 3 3 3 4 5 3 5 6 3 5
5 2 4 5 3 4 6 3 4 6 3 5
5 2 2 2 4 2 4 2 2 6 2 2
4 2 2 2 2 3 4 1 2 4 2 2
7 4 5 5 6 5 6 6 6 6 6 6
4 4 5 5 2 5 4 2 5 4 4 5
6 5 5 5 4 6 5 5 5 7 4 4
6 4 4 6 5 6 6 5 6 7 6 6
4 2 6 4 2 5 4 3 6 4 2 5
5 3 5 3 4 5 5 4 6 5 5 6
5 3 2 4 4 4 6 4 5 5 3 5
4 4 4 4 2 2 5 2 3 5 3 5
5 5 6 6 5 6 6 5 6 6 5 6
6 3 5 6 4 5 6 4 6 6 6 5
5 2 5 6 4 5 6 4 5 6 4 5
5 2 2 3 2 6 2 2 6 3 2 6
4 4 3 5 4 6 5 4 5 6 4 4
6 3 3 4 3 5 5 2 3 5 3 3
5 3 5 5 2 5 5 3 5 4 2 4
6 2 7 5 4 6 6 3 6 5 6 5
4 2 4 5 5 3 6 3 6 7 5 6
3 5 2 3 2 3 4 2 6 5 1 5
5 4 2 4 2 4 4 2 5 4 2 5
5 4 4 5 4 5 4 5 5 5 5 2
5 3 4 5 3 4 5 2 3 5 2 3
4 6 5 6 5 5 6 5 6 6 6 6
5 5 4 4 2 4 6 5 7 6 4 6
5 2 4 4 2 5 5 1 4 7 5 2
5 4 3 4 1 3 3 1 5 4 1 3
5 5 4 5 4 3 5 3 5 5 4 3
5 3 3 6 4 2 5 4 4 5 5 5
6 4 6 5 4 5 4 3 4 5 5 5
6 5 6 5 6 5 6 5 5 6 6 5
5 2 2 1 1 2 6 1 4 6 1 6
6 5 5 5 5 5 5 5 4 6 3 5
2 2 2 3 3 4 6 2 5 5 3 5
4 2 4 4 1 3 4 2 3 5 3 3
6 3 7 7 4 6 6 4 7 5 5 6
4 2 3 3 2 3 3 2 5 3 2 2
4 6 4 5 3 4 5 3 5 5 4 5
5 4 4 5 3 4 4 3 3 6 4 4
5 4 4 5 3 4 6 4 5 6 4 5
4 1 6 4 3 5 6 3 6 5 2 4
4 5 3 5 5 4 5 6 5 7 5 5
3 2 5 4 1 4 4 2 6 4 2 3
5 4 5 5 4 5 6 4 5 5 5 5
6 3 4 6 5 5 6 5 4 6 5 5
5 4 6 5 4 7 5 3 6 7 5 6
4 3 4 5 4 5 5 4 5 6 5 6
5 4 4 5 3 4 6 3 6 5 4 5
4 5 4 4 3 4 5 3 5 6 4 5
4 2 3 2 2 3 5 2 3 3 2 3
4 3 4 7 6 5 7 6 7 7 7 6
2 2 2 2 1 5 4 1 4 3 1 5
4 7 4 5 2 5 4 2 5 4 2 4
4 6 5 6 5 6 6 5 6 6 6 6
5 4 4 5 5 5 5 5 6 5 4 5
7 3 4 5 4 5 6 3 6 4 5 5
4 2 4 3 3 4 3 3 4 5 3 4
6 4 6 6 5 6 5 4 4 6 6 6
5 5 4 5 4 5 6 5 5 4 5 5
4 5 5 5 5 7 6 5 6 7 6 5
2 1 1 5 1 2 5 1 2 4 1 1
6 3 4 6 5 4 6 5 6 7 4 5
4 2 5 4 2 6 5 2 6 5 4 7
4 4 5 4 2 4 4 3 5 7 4 5
7 4 2 7 7 4 4 2 4 7 2 5
6 6 3 5 2 5 5 1 6 5 2 4
5 6 5 6 6 4 5 4 4 6 4 5
5 3 5 6 4 6 5 4 6 5 2 5
6 5 5 5 4 6 5 4 6 6 5 6
6 5 1 6 5 6 5 6 5 6 4 6
4 4 4 5 3 5 5 4 4 6 4 4
1 1 2 1 1 2 2 1 1 2 1 1
5 3 3 3 2 5 4 2 7 3 2 7
4 4 5 4 4 5 5 4 5 5 6 5
7 3 3 5 4 4 5 2 5 7 3 4
5 6 4 6 2 6 6 3 3 5 6 3
6 4 5 5 3 4 5 3 4 5 2 4
6 6 6 5 4 6 6 3 4 6 3 4
5 4 5 5 5 6 5 4 5 5 4 7
5 4 5 5 3 4 5 3 4 5 4 5
4 4 5 4 3 3 5 3 2 5 3 3
6 5 6 6 5 6 7 5 5 6 5 5
4 4 5 4 4 5 4 4 5 4 4 5
5 5 5 5 3 5 5 3 5 5 4 5
4 2 2 4 3 4 3 2 3 3 3 4
4 4 4 4 4 7 7 4 4 7 4 1
6 5 7 6 5 7 7 6 6 7 5 5
4 3 4 4 4 5 7 4 3 5 4 4
6 6 2 2 2 4 4 4 5 5 4 4
5 5 5 6 4 5 5 5 4 6 5 5
6 2 6 4 4 5 6 1 4 6 2 4
5 5 6 5 4 6 5 5 6 5 5 6
4 2 2 4 2 2 5 1 2 4 2 3
6 7 5 5 5 6 5 5 5 6 6 6
3 3 3 4 3 4 5 4 4 5 4 4
5 4 4 5 2 6 6 2 6 6 2 6
5 4 5 5 4 5 5 4 6 6 4 6
6 4 6 7 2 6 6 2 5 6 4 7
2 3 3 3 2 2 3 2 3 3 3 4
5 3 2 5 2 6 4 1 7 5 1 6
6 4 6 6 6 6 6 5 6 6 5 7
5 3 7 4 2 7 4 2 6 4 2 6
6 5 5 5 2 5 5 2 6 6 3 5
5 4 3 4 2 4 4 2 3 4 2 4
5 3 7 7 5 7 7 4 7 7 7 7
4 1 5 5 2 5 5 3 6 6 5 5
5 5 5 4 3 5 5 2 3 5 5 3
6 3 4 4 4 3 6 4 4 5 3 5
6 3 6 5 3 7 6 3 6 7 2 6
5 2 4 5 5 6 6 3 5 5 4 6
4 4 6 5 4 5 5 3 6 5 4 5
3 1 3 4 2 3 2 2 1 4 2 2
6 5 5 6 6 5 6 5 5 6 6 5
7 5 4 7 6 6 7 4 5 7 4 4
7 7 7 6 4 7 7 4 3 7 7 7
6 2 4 5 5 6 6 2 6 5 2 6
6 4 5 6 5 5 5 5 6 6 5 6
6 2 1 3 2 4 4 2 2 6 3 5
4 2 4 4 3 3 4 3 5 6 3 5
6 5 4 5 5 5 5 3 4 7 4 5
5 3 2 5 2 2 5 2 5 6 5 1
6 5 5 5 4 6 5 4 6 6 4 5
4 3 6 5 2 7 4 2 6 4 3 5
3 6 3 4 5 6 4 3 6 4 3 3
5 4 4 6 2 5 5 3 4 5 4 5
5 4 6 5 2 5 5 2 6 5 3 6
7 4 4 6 6 6 6 6 6 7 3 5
4 3 5 5 6 6 6 6 5 4 6 5
7 7 7 7 6 7 7 5 7 7 6 7
5 4 4 5 3 5 5 3 4 6 3 4
5 4 4 4 4 5 5 4 6 5 4 6
5 3 5 6 3 5 5 3 6 6 4 5
5 3 5 6 4 5 5 4 5 5 4 5
5 5 4 5 3 5 4 3 4 6 4 5
5 2 3 4 3 4 5 2 5 5 4 5
4 1 1 1 2 2 2 1 2 4 3 2
4 3 4 5 4 5 4 3 5 4 3 3
6 5 4 5 3 4 4 2 2 4 3 4
5 3 4 5 3 5 5 2 5 5 4 4
4 2 5 5 3 4 4 2 2 4 1 3
6 1 5 4 2 6 5 2 6 6 2 6
5 4 5 5 4 5 5 4 5 6 5 5
3 4 2 3 1 3 2 2 5 4 2 4
4 5 4 7 4 6 5 4 2 7 5 5
4 5 6 7 4 6 5 4 5 6 4 4
4 5 6 6 4 6 5 4 6 7 4 5
4 5 6 7 4 6 4 4 6 6 5 6
5 3 4 6 4 6 5 3 6 4 2 5
4 3 3 5 4 4 4 4 4 5 3 3
3 3 6 6 6 6 6 6 6 6 7 6
6 3 3 7 6 3 5 5 5 6 5 5
5 6 6 5 4 6 6 6 4 6 5 5
7 3 1 4 3 4 4 2 2 5 2 1
5 4 5 4 4 3 4 4 5 4 4 4
5 5 3 5 2 5 5 2 6 4 2 4
4 4 4 4 4 4 4 3 5 4 4 4
5 2 4 3 3 2 5 3 5 6 4 5
6 5 5 6 5 5 4 5 6 7 6 6
2 6 4 2 7 5 2 6 6 2 3 2
6 5 5 6 5 6 4 5 5 6 5 5
6 5 5 6 4 4 5 3 6 6 3 5
4 3 5 3 2 5 4 2 4 4 2 6
4 5 3 4 4 5 4 3 6 5 3 5
6 5 2 7 3 1 1 4 1 7 2 4
5 3 5 6 2 3 7 2 5 7 4 6
5 1 2 5 2 4 5 2 2 3 4 3
5 4 3 4 3 4 5 2 3 6 3 3
4 4 3 5 2 5 7 1 5 5 4 5
5 3 5 6 4 5 5 3 5 5 4 4
6 3 6 6 3 6 6 1 6 6 3 5
5 5 4 6 5 4 5 4 6 6 4 6
5 4 5 5 2 7 5 1 5 7 4 5
5 2 4 6 3 5 6 4 5 6 5 5
3 2 3 5 4 4 4 4 5 5 6 4
5 2 3 2 3 2 3 2 3 5 4 3
6 2 6 5 5 5 5 4 5 6 5 5
4 2 3 6 4 3 4 3 4 5 4 4
4 3 5 3 3 6 5 3 5 6 3 5
5 4 5 5 4 5 5 5 4 6 4 6
5 5 5 5 6 5 5 6 6 5 6 5
6 4 4 1 2 5 6 3 5 6 5 6
5 3 4 5 2 4 4 2 5 5 3 6
4 4 5 4 4 5 4 4 4 4 4 5
4 3 4 5 2 4 4 2 5 5 4 5
5 4 4 4 4 5 7 4 6 7 4 5
5 5 5 6 5 5 5 4 5 6 5 6
5 4 5 6 4 6 6 4 6 6 5 5
4 3 4 5 3 6 6 3 4 5 3 5
7 5 6 6 3 6 5 3 6 6 6 5
6 4 4 7 4 3 6 2 3 6 1 6
7 4 5 6 5 6 6 5 6 6 5 6
5 4 3 5 3 5 5 2 5 5 3 5
5 2 5 6 2 6 6 2 6 6 2 6
5 5 5 6 4 5 5 3 5 5 5 5
6 5 5 5 4 5 5 2 5 7 2 5
7 6 6 7 4 7 4 2 5 5 5 5
3 4 2 3 1 7 2 1 2 3 1 2
5 6 3 5 6 6 5 5 6 6 6 6
7 6 7 7 4 7 6 4 7 7 4 5
5 4 2 5 3 6 3 2 5 6 4 5
4 5 4 6 3 6 5 4 5 6 5 4
4 3 5 4 3 6 4 3 3 4 4 4
5 2 3 4 2 6 6 3 6 6 1 3
5 4 6 5 4 6 6 3 3 6 5 4
4 5 4 3 3 3 3 3 3 6 3 3
3 3 2 5 2 3 5 6 2 5 2 3
7 5 5 4 5 6 5 5 4 7 4 6
6 3 7 5 4 6 7 3 6 6 5 5
5 5 6 5 3 5 4 3 4 6 4 6
5 1 6 5 2 6 6 2 6 4 3 5
4 5 3 5 3 5 5 2 5 4 4 5
1 3 2 1 1 3 1 2 5 1 1 1
3 2 4 3 2 5 4 4 4 4 3 3
5 5 6 5 3 4 6 4 4 6 5 6
4 4 4 4 5 5 4 4 5 5 6 6
3 6 6 7 4 7 7 3 7 6 4 6
6 3 3 3 2 6 5 2 7 6 5 5
4 3 2 4 3 4 5 3 2 5 3 4
5 4 3 5 5 5 3 4 3 6 5 4
5 4 3 4 4 4 5 4 6 6 4 5
5 6 4 3 3 3 3 3 3 4 3 4
6 5 4 6 5 5 6 5 4 6 5 5
5 5 2 5 4 5 5 3 4 6 4 5
5 3 6 4 4 5 5 3 5 5 2 3
5 4 2 5 3 3 4 1 1 5 2 1
7 7 6 6 7 1 7 7 7 7 7 7
5 4 6 6 4 6 6 5 6 6 6 6
6 5 5 5 4 5 6 4 6 6 5 5
5 4 5 5 5 5 5 5 5 5 5 5
5 2 3 3 1 7 5 1 5 4 4 7
5 3 4 5 4 5 6 5 4 5 5 4
6 5 4 6 4 5 6 3 6 5 4 4
6 5 5 5 4 5 5 4 5 6 5 5
4 3 3 4 4 5 3 2 4 5 3 4
5 4 5 5 4 5 5 4 5 5 5 5
3 2 3 4 5 5 5 4 4 4 2 4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266510&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266510&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266510&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 Output	view raw output of R engine
Computing time	5 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	AMS2	AMS4	AMS6	AMS9	AMS11	AMS13	AMS16	AMS18	AMS20	AMS23	AMS25	AMS27
AMS2	1	0.334	0.355	0.477	0.35	0.264	0.429	0.228	0.197	0.521	0.29	0.37
AMS4	0.334	1	0.303	0.409	0.412	0.298	0.197	0.431	0.208	0.333	0.381	0.273
AMS6	0.355	0.303	1	0.485	0.358	0.539	0.464	0.381	0.421	0.357	0.439	0.466
AMS9	0.477	0.409	0.485	1	0.502	0.382	0.486	0.424	0.283	0.526	0.462	0.399
AMS11	0.35	0.412	0.358	0.502	1	0.298	0.369	0.744	0.307	0.414	0.572	0.336
AMS13	0.264	0.298	0.539	0.382	0.298	1	0.365	0.28	0.481	0.273	0.314	0.45
AMS16	0.429	0.197	0.464	0.486	0.369	0.365	1	0.373	0.38	0.57	0.45	0.441
AMS18	0.228	0.431	0.381	0.424	0.744	0.28	0.373	1	0.336	0.406	0.62	0.366
AMS20	0.197	0.208	0.421	0.283	0.307	0.481	0.38	0.336	1	0.26	0.324	0.558
AMS23	0.521	0.333	0.357	0.526	0.414	0.273	0.57	0.406	0.26	1	0.47	0.448
AMS25	0.29	0.381	0.439	0.462	0.572	0.314	0.45	0.62	0.324	0.47	1	0.405
AMS27	0.37	0.273	0.466	0.399	0.336	0.45	0.441	0.366	0.558	0.448	0.405	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & AMS2 & AMS4 & AMS6 & AMS9 & AMS11 & AMS13 & AMS16 & AMS18 & AMS20 & AMS23 & AMS25 & AMS27 \tabularnewline
AMS2 & 1 & 0.334 & 0.355 & 0.477 & 0.35 & 0.264 & 0.429 & 0.228 & 0.197 & 0.521 & 0.29 & 0.37 \tabularnewline
AMS4 & 0.334 & 1 & 0.303 & 0.409 & 0.412 & 0.298 & 0.197 & 0.431 & 0.208 & 0.333 & 0.381 & 0.273 \tabularnewline
AMS6 & 0.355 & 0.303 & 1 & 0.485 & 0.358 & 0.539 & 0.464 & 0.381 & 0.421 & 0.357 & 0.439 & 0.466 \tabularnewline
AMS9 & 0.477 & 0.409 & 0.485 & 1 & 0.502 & 0.382 & 0.486 & 0.424 & 0.283 & 0.526 & 0.462 & 0.399 \tabularnewline
AMS11 & 0.35 & 0.412 & 0.358 & 0.502 & 1 & 0.298 & 0.369 & 0.744 & 0.307 & 0.414 & 0.572 & 0.336 \tabularnewline
AMS13 & 0.264 & 0.298 & 0.539 & 0.382 & 0.298 & 1 & 0.365 & 0.28 & 0.481 & 0.273 & 0.314 & 0.45 \tabularnewline
AMS16 & 0.429 & 0.197 & 0.464 & 0.486 & 0.369 & 0.365 & 1 & 0.373 & 0.38 & 0.57 & 0.45 & 0.441 \tabularnewline
AMS18 & 0.228 & 0.431 & 0.381 & 0.424 & 0.744 & 0.28 & 0.373 & 1 & 0.336 & 0.406 & 0.62 & 0.366 \tabularnewline
AMS20 & 0.197 & 0.208 & 0.421 & 0.283 & 0.307 & 0.481 & 0.38 & 0.336 & 1 & 0.26 & 0.324 & 0.558 \tabularnewline
AMS23 & 0.521 & 0.333 & 0.357 & 0.526 & 0.414 & 0.273 & 0.57 & 0.406 & 0.26 & 1 & 0.47 & 0.448 \tabularnewline
AMS25 & 0.29 & 0.381 & 0.439 & 0.462 & 0.572 & 0.314 & 0.45 & 0.62 & 0.324 & 0.47 & 1 & 0.405 \tabularnewline
AMS27 & 0.37 & 0.273 & 0.466 & 0.399 & 0.336 & 0.45 & 0.441 & 0.366 & 0.558 & 0.448 & 0.405 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266510&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]AMS2[/C][C]AMS4[/C][C]AMS6[/C][C]AMS9[/C][C]AMS11[/C][C]AMS13[/C][C]AMS16[/C][C]AMS18[/C][C]AMS20[/C][C]AMS23[/C][C]AMS25[/C][C]AMS27[/C][/ROW]
[ROW][C]AMS2[/C][C]1[/C][C]0.334[/C][C]0.355[/C][C]0.477[/C][C]0.35[/C][C]0.264[/C][C]0.429[/C][C]0.228[/C][C]0.197[/C][C]0.521[/C][C]0.29[/C][C]0.37[/C][/ROW]
[ROW][C]AMS4[/C][C]0.334[/C][C]1[/C][C]0.303[/C][C]0.409[/C][C]0.412[/C][C]0.298[/C][C]0.197[/C][C]0.431[/C][C]0.208[/C][C]0.333[/C][C]0.381[/C][C]0.273[/C][/ROW]
[ROW][C]AMS6[/C][C]0.355[/C][C]0.303[/C][C]1[/C][C]0.485[/C][C]0.358[/C][C]0.539[/C][C]0.464[/C][C]0.381[/C][C]0.421[/C][C]0.357[/C][C]0.439[/C][C]0.466[/C][/ROW]
[ROW][C]AMS9[/C][C]0.477[/C][C]0.409[/C][C]0.485[/C][C]1[/C][C]0.502[/C][C]0.382[/C][C]0.486[/C][C]0.424[/C][C]0.283[/C][C]0.526[/C][C]0.462[/C][C]0.399[/C][/ROW]
[ROW][C]AMS11[/C][C]0.35[/C][C]0.412[/C][C]0.358[/C][C]0.502[/C][C]1[/C][C]0.298[/C][C]0.369[/C][C]0.744[/C][C]0.307[/C][C]0.414[/C][C]0.572[/C][C]0.336[/C][/ROW]
[ROW][C]AMS13[/C][C]0.264[/C][C]0.298[/C][C]0.539[/C][C]0.382[/C][C]0.298[/C][C]1[/C][C]0.365[/C][C]0.28[/C][C]0.481[/C][C]0.273[/C][C]0.314[/C][C]0.45[/C][/ROW]
[ROW][C]AMS16[/C][C]0.429[/C][C]0.197[/C][C]0.464[/C][C]0.486[/C][C]0.369[/C][C]0.365[/C][C]1[/C][C]0.373[/C][C]0.38[/C][C]0.57[/C][C]0.45[/C][C]0.441[/C][/ROW]
[ROW][C]AMS18[/C][C]0.228[/C][C]0.431[/C][C]0.381[/C][C]0.424[/C][C]0.744[/C][C]0.28[/C][C]0.373[/C][C]1[/C][C]0.336[/C][C]0.406[/C][C]0.62[/C][C]0.366[/C][/ROW]
[ROW][C]AMS20[/C][C]0.197[/C][C]0.208[/C][C]0.421[/C][C]0.283[/C][C]0.307[/C][C]0.481[/C][C]0.38[/C][C]0.336[/C][C]1[/C][C]0.26[/C][C]0.324[/C][C]0.558[/C][/ROW]
[ROW][C]AMS23[/C][C]0.521[/C][C]0.333[/C][C]0.357[/C][C]0.526[/C][C]0.414[/C][C]0.273[/C][C]0.57[/C][C]0.406[/C][C]0.26[/C][C]1[/C][C]0.47[/C][C]0.448[/C][/ROW]
[ROW][C]AMS25[/C][C]0.29[/C][C]0.381[/C][C]0.439[/C][C]0.462[/C][C]0.572[/C][C]0.314[/C][C]0.45[/C][C]0.62[/C][C]0.324[/C][C]0.47[/C][C]1[/C][C]0.405[/C][/ROW]
[ROW][C]AMS27[/C][C]0.37[/C][C]0.273[/C][C]0.466[/C][C]0.399[/C][C]0.336[/C][C]0.45[/C][C]0.441[/C][C]0.366[/C][C]0.558[/C][C]0.448[/C][C]0.405[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266510&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266510&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)
	AMS2	AMS4	AMS6	AMS9	AMS11	AMS13	AMS16	AMS18	AMS20	AMS23	AMS25	AMS27
AMS2	1	0.334	0.355	0.477	0.35	0.264	0.429	0.228	0.197	0.521	0.29	0.37
AMS4	0.334	1	0.303	0.409	0.412	0.298	0.197	0.431	0.208	0.333	0.381	0.273
AMS6	0.355	0.303	1	0.485	0.358	0.539	0.464	0.381	0.421	0.357	0.439	0.466
AMS9	0.477	0.409	0.485	1	0.502	0.382	0.486	0.424	0.283	0.526	0.462	0.399
AMS11	0.35	0.412	0.358	0.502	1	0.298	0.369	0.744	0.307	0.414	0.572	0.336
AMS13	0.264	0.298	0.539	0.382	0.298	1	0.365	0.28	0.481	0.273	0.314	0.45
AMS16	0.429	0.197	0.464	0.486	0.369	0.365	1	0.373	0.38	0.57	0.45	0.441
AMS18	0.228	0.431	0.381	0.424	0.744	0.28	0.373	1	0.336	0.406	0.62	0.366
AMS20	0.197	0.208	0.421	0.283	0.307	0.481	0.38	0.336	1	0.26	0.324	0.558
AMS23	0.521	0.333	0.357	0.526	0.414	0.273	0.57	0.406	0.26	1	0.47	0.448
AMS25	0.29	0.381	0.439	0.462	0.572	0.314	0.45	0.62	0.324	0.47	1	0.405
AMS27	0.37	0.273	0.466	0.399	0.336	0.45	0.441	0.366	0.558	0.448	0.405	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
AMS2;AMS4	0.3341	0.2983	0.2506
p-value	(0)	(0)	(0)
AMS2;AMS6	0.3549	0.3266	0.2748
p-value	(0)	(0)	(0)
AMS2;AMS9	0.4772	0.4532	0.3933
p-value	(0)	(0)	(0)
AMS2;AMS11	0.3497	0.3241	0.2732
p-value	(0)	(0)	(0)
AMS2;AMS13	0.2638	0.265	0.2238
p-value	(0)	(0)	(0)
AMS2;AMS16	0.4286	0.3932	0.3407
p-value	(0)	(0)	(0)
AMS2;AMS18	0.2276	0.2041	0.17
p-value	(1e-04)	(6e-04)	(5e-04)
AMS2;AMS20	0.1973	0.1863	0.1554
p-value	(9e-04)	(0.0018)	(0.0016)
AMS2;AMS23	0.5212	0.4643	0.4033
p-value	(0)	(0)	(0)
AMS2;AMS25	0.2895	0.25	0.2131
p-value	(0)	(0)	(0)
AMS2;AMS27	0.3699	0.3232	0.2699
p-value	(0)	(0)	(0)
AMS4;AMS6	0.3034	0.2816	0.2307
p-value	(0)	(0)	(0)
AMS4;AMS9	0.4094	0.402	0.3354
p-value	(0)	(0)	(0)
AMS4;AMS11	0.4117	0.3914	0.3218
p-value	(0)	(0)	(0)
AMS4;AMS13	0.298	0.2834	0.2378
p-value	(0)	(0)	(0)
AMS4;AMS16	0.1966	0.1486	0.1228
p-value	(0.001)	(0.013)	(0.0118)
AMS4;AMS18	0.4311	0.4215	0.3444
p-value	(0)	(0)	(0)
AMS4;AMS20	0.2075	0.1728	0.1433
p-value	(5e-04)	(0.0038)	(0.003)
AMS4;AMS23	0.3331	0.3194	0.2684
p-value	(0)	(0)	(0)
AMS4;AMS25	0.3814	0.3658	0.2983
p-value	(0)	(0)	(0)
AMS4;AMS27	0.2726	0.2097	0.171
p-value	(0)	(4e-04)	(4e-04)
AMS6;AMS9	0.4849	0.4604	0.3897
p-value	(0)	(0)	(0)
AMS6;AMS11	0.3579	0.349	0.2847
p-value	(0)	(0)	(0)
AMS6;AMS13	0.5386	0.5289	0.4559
p-value	(0)	(0)	(0)
AMS6;AMS16	0.4642	0.4131	0.3455
p-value	(0)	(0)	(0)
AMS6;AMS18	0.3806	0.369	0.3048
p-value	(0)	(0)	(0)
AMS6;AMS20	0.4206	0.367	0.3088
p-value	(0)	(0)	(0)
AMS6;AMS23	0.3566	0.3309	0.2757
p-value	(0)	(0)	(0)
AMS6;AMS25	0.4385	0.4105	0.3417
p-value	(0)	(0)	(0)
AMS6;AMS27	0.4663	0.4277	0.3596
p-value	(0)	(0)	(0)
AMS9;AMS11	0.5022	0.5018	0.4248
p-value	(0)	(0)	(0)
AMS9;AMS13	0.3815	0.381	0.3316
p-value	(0)	(0)	(0)
AMS9;AMS16	0.4862	0.4552	0.3957
p-value	(0)	(0)	(0)
AMS9;AMS18	0.4239	0.4235	0.3506
p-value	(0)	(0)	(0)
AMS9;AMS20	0.2829	0.2725	0.2304
p-value	(0)	(0)	(0)
AMS9;AMS23	0.5257	0.4849	0.4173
p-value	(0)	(0)	(0)
AMS9;AMS25	0.462	0.4662	0.3904
p-value	(0)	(0)	(0)
AMS9;AMS27	0.3989	0.3617	0.3089
p-value	(0)	(0)	(0)
AMS11;AMS13	0.2975	0.3101	0.2609
p-value	(0)	(0)	(0)
AMS11;AMS16	0.3686	0.3594	0.3027
p-value	(0)	(0)	(0)
AMS11;AMS18	0.7438	0.7417	0.6612
p-value	(0)	(0)	(0)
AMS11;AMS20	0.3075	0.2793	0.2334
p-value	(0)	(0)	(0)
AMS11;AMS23	0.414	0.4052	0.3434
p-value	(0)	(0)	(0)
AMS11;AMS25	0.5723	0.5722	0.4948
p-value	(0)	(0)	(0)
AMS11;AMS27	0.3358	0.3108	0.2661
p-value	(0)	(0)	(0)
AMS13;AMS16	0.3649	0.3537	0.3048
p-value	(0)	(0)	(0)
AMS13;AMS18	0.2802	0.2854	0.2415
p-value	(0)	(0)	(0)
AMS13;AMS20	0.4807	0.4536	0.3879
p-value	(0)	(0)	(0)
AMS13;AMS23	0.2732	0.294	0.2543
p-value	(0)	(0)	(0)
AMS13;AMS25	0.3142	0.3296	0.2778
p-value	(0)	(0)	(0)
AMS13;AMS27	0.4499	0.4383	0.3807
p-value	(0)	(0)	(0)
AMS16;AMS18	0.3734	0.3697	0.3109
p-value	(0)	(0)	(0)
AMS16;AMS20	0.3796	0.3426	0.29
p-value	(0)	(0)	(0)
AMS16;AMS23	0.5701	0.5095	0.4484
p-value	(0)	(0)	(0)
AMS16;AMS25	0.4503	0.4175	0.3532
p-value	(0)	(0)	(0)
AMS16;AMS27	0.4411	0.3841	0.3272
p-value	(0)	(0)	(0)
AMS18;AMS20	0.3361	0.302	0.2527
p-value	(0)	(0)	(0)
AMS18;AMS23	0.4065	0.4099	0.3482
p-value	(0)	(0)	(0)
AMS18;AMS25	0.6199	0.6217	0.5347
p-value	(0)	(0)	(0)
AMS18;AMS27	0.3659	0.3335	0.2836
p-value	(0)	(0)	(0)
AMS20;AMS23	0.2601	0.2461	0.2072
p-value	(0)	(0)	(0)
AMS20;AMS25	0.324	0.2871	0.2441
p-value	(0)	(0)	(0)
AMS20;AMS27	0.5585	0.5288	0.4566
p-value	(0)	(0)	(0)
AMS23;AMS25	0.47	0.4403	0.371
p-value	(0)	(0)	(0)
AMS23;AMS27	0.4482	0.4248	0.3664
p-value	(0)	(0)	(0)
AMS25;AMS27	0.4045	0.3761	0.3228
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
AMS2;AMS4 & 0.3341 & 0.2983 & 0.2506 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS2;AMS6 & 0.3549 & 0.3266 & 0.2748 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS2;AMS9 & 0.4772 & 0.4532 & 0.3933 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS2;AMS11 & 0.3497 & 0.3241 & 0.2732 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS2;AMS13 & 0.2638 & 0.265 & 0.2238 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS2;AMS16 & 0.4286 & 0.3932 & 0.3407 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS2;AMS18 & 0.2276 & 0.2041 & 0.17 \tabularnewline
p-value & (1e-04) & (6e-04) & (5e-04) \tabularnewline
AMS2;AMS20 & 0.1973 & 0.1863 & 0.1554 \tabularnewline
p-value & (9e-04) & (0.0018) & (0.0016) \tabularnewline
AMS2;AMS23 & 0.5212 & 0.4643 & 0.4033 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS2;AMS25 & 0.2895 & 0.25 & 0.2131 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS2;AMS27 & 0.3699 & 0.3232 & 0.2699 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS4;AMS6 & 0.3034 & 0.2816 & 0.2307 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS4;AMS9 & 0.4094 & 0.402 & 0.3354 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS4;AMS11 & 0.4117 & 0.3914 & 0.3218 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS4;AMS13 & 0.298 & 0.2834 & 0.2378 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS4;AMS16 & 0.1966 & 0.1486 & 0.1228 \tabularnewline
p-value & (0.001) & (0.013) & (0.0118) \tabularnewline
AMS4;AMS18 & 0.4311 & 0.4215 & 0.3444 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS4;AMS20 & 0.2075 & 0.1728 & 0.1433 \tabularnewline
p-value & (5e-04) & (0.0038) & (0.003) \tabularnewline
AMS4;AMS23 & 0.3331 & 0.3194 & 0.2684 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS4;AMS25 & 0.3814 & 0.3658 & 0.2983 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS4;AMS27 & 0.2726 & 0.2097 & 0.171 \tabularnewline
p-value & (0) & (4e-04) & (4e-04) \tabularnewline
AMS6;AMS9 & 0.4849 & 0.4604 & 0.3897 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS6;AMS11 & 0.3579 & 0.349 & 0.2847 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS6;AMS13 & 0.5386 & 0.5289 & 0.4559 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS6;AMS16 & 0.4642 & 0.4131 & 0.3455 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS6;AMS18 & 0.3806 & 0.369 & 0.3048 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS6;AMS20 & 0.4206 & 0.367 & 0.3088 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS6;AMS23 & 0.3566 & 0.3309 & 0.2757 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS6;AMS25 & 0.4385 & 0.4105 & 0.3417 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS6;AMS27 & 0.4663 & 0.4277 & 0.3596 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS9;AMS11 & 0.5022 & 0.5018 & 0.4248 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS9;AMS13 & 0.3815 & 0.381 & 0.3316 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS9;AMS16 & 0.4862 & 0.4552 & 0.3957 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS9;AMS18 & 0.4239 & 0.4235 & 0.3506 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS9;AMS20 & 0.2829 & 0.2725 & 0.2304 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS9;AMS23 & 0.5257 & 0.4849 & 0.4173 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS9;AMS25 & 0.462 & 0.4662 & 0.3904 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS9;AMS27 & 0.3989 & 0.3617 & 0.3089 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS11;AMS13 & 0.2975 & 0.3101 & 0.2609 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS11;AMS16 & 0.3686 & 0.3594 & 0.3027 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS11;AMS18 & 0.7438 & 0.7417 & 0.6612 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS11;AMS20 & 0.3075 & 0.2793 & 0.2334 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS11;AMS23 & 0.414 & 0.4052 & 0.3434 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS11;AMS25 & 0.5723 & 0.5722 & 0.4948 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS11;AMS27 & 0.3358 & 0.3108 & 0.2661 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS13;AMS16 & 0.3649 & 0.3537 & 0.3048 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS13;AMS18 & 0.2802 & 0.2854 & 0.2415 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS13;AMS20 & 0.4807 & 0.4536 & 0.3879 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS13;AMS23 & 0.2732 & 0.294 & 0.2543 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS13;AMS25 & 0.3142 & 0.3296 & 0.2778 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS13;AMS27 & 0.4499 & 0.4383 & 0.3807 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS16;AMS18 & 0.3734 & 0.3697 & 0.3109 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS16;AMS20 & 0.3796 & 0.3426 & 0.29 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS16;AMS23 & 0.5701 & 0.5095 & 0.4484 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS16;AMS25 & 0.4503 & 0.4175 & 0.3532 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS16;AMS27 & 0.4411 & 0.3841 & 0.3272 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS18;AMS20 & 0.3361 & 0.302 & 0.2527 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS18;AMS23 & 0.4065 & 0.4099 & 0.3482 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS18;AMS25 & 0.6199 & 0.6217 & 0.5347 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS18;AMS27 & 0.3659 & 0.3335 & 0.2836 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS20;AMS23 & 0.2601 & 0.2461 & 0.2072 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS20;AMS25 & 0.324 & 0.2871 & 0.2441 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS20;AMS27 & 0.5585 & 0.5288 & 0.4566 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS23;AMS25 & 0.47 & 0.4403 & 0.371 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS23;AMS27 & 0.4482 & 0.4248 & 0.3664 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
AMS25;AMS27 & 0.4045 & 0.3761 & 0.3228 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266510&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]AMS2;AMS4[/C][C]0.3341[/C][C]0.2983[/C][C]0.2506[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS2;AMS6[/C][C]0.3549[/C][C]0.3266[/C][C]0.2748[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS2;AMS9[/C][C]0.4772[/C][C]0.4532[/C][C]0.3933[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS2;AMS11[/C][C]0.3497[/C][C]0.3241[/C][C]0.2732[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS2;AMS13[/C][C]0.2638[/C][C]0.265[/C][C]0.2238[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS2;AMS16[/C][C]0.4286[/C][C]0.3932[/C][C]0.3407[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS2;AMS18[/C][C]0.2276[/C][C]0.2041[/C][C]0.17[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](6e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]AMS2;AMS20[/C][C]0.1973[/C][C]0.1863[/C][C]0.1554[/C][/ROW]
[ROW][C]p-value[/C][C](9e-04)[/C][C](0.0018)[/C][C](0.0016)[/C][/ROW]
[ROW][C]AMS2;AMS23[/C][C]0.5212[/C][C]0.4643[/C][C]0.4033[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS2;AMS25[/C][C]0.2895[/C][C]0.25[/C][C]0.2131[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS2;AMS27[/C][C]0.3699[/C][C]0.3232[/C][C]0.2699[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS4;AMS6[/C][C]0.3034[/C][C]0.2816[/C][C]0.2307[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS4;AMS9[/C][C]0.4094[/C][C]0.402[/C][C]0.3354[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS4;AMS11[/C][C]0.4117[/C][C]0.3914[/C][C]0.3218[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS4;AMS13[/C][C]0.298[/C][C]0.2834[/C][C]0.2378[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS4;AMS16[/C][C]0.1966[/C][C]0.1486[/C][C]0.1228[/C][/ROW]
[ROW][C]p-value[/C][C](0.001)[/C][C](0.013)[/C][C](0.0118)[/C][/ROW]
[ROW][C]AMS4;AMS18[/C][C]0.4311[/C][C]0.4215[/C][C]0.3444[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS4;AMS20[/C][C]0.2075[/C][C]0.1728[/C][C]0.1433[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0.0038)[/C][C](0.003)[/C][/ROW]
[ROW][C]AMS4;AMS23[/C][C]0.3331[/C][C]0.3194[/C][C]0.2684[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS4;AMS25[/C][C]0.3814[/C][C]0.3658[/C][C]0.2983[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS4;AMS27[/C][C]0.2726[/C][C]0.2097[/C][C]0.171[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](4e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]AMS6;AMS9[/C][C]0.4849[/C][C]0.4604[/C][C]0.3897[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS6;AMS11[/C][C]0.3579[/C][C]0.349[/C][C]0.2847[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS6;AMS13[/C][C]0.5386[/C][C]0.5289[/C][C]0.4559[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS6;AMS16[/C][C]0.4642[/C][C]0.4131[/C][C]0.3455[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS6;AMS18[/C][C]0.3806[/C][C]0.369[/C][C]0.3048[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS6;AMS20[/C][C]0.4206[/C][C]0.367[/C][C]0.3088[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS6;AMS23[/C][C]0.3566[/C][C]0.3309[/C][C]0.2757[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS6;AMS25[/C][C]0.4385[/C][C]0.4105[/C][C]0.3417[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS6;AMS27[/C][C]0.4663[/C][C]0.4277[/C][C]0.3596[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS9;AMS11[/C][C]0.5022[/C][C]0.5018[/C][C]0.4248[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS9;AMS13[/C][C]0.3815[/C][C]0.381[/C][C]0.3316[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS9;AMS16[/C][C]0.4862[/C][C]0.4552[/C][C]0.3957[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS9;AMS18[/C][C]0.4239[/C][C]0.4235[/C][C]0.3506[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS9;AMS20[/C][C]0.2829[/C][C]0.2725[/C][C]0.2304[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS9;AMS23[/C][C]0.5257[/C][C]0.4849[/C][C]0.4173[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS9;AMS25[/C][C]0.462[/C][C]0.4662[/C][C]0.3904[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS9;AMS27[/C][C]0.3989[/C][C]0.3617[/C][C]0.3089[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS11;AMS13[/C][C]0.2975[/C][C]0.3101[/C][C]0.2609[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS11;AMS16[/C][C]0.3686[/C][C]0.3594[/C][C]0.3027[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS11;AMS18[/C][C]0.7438[/C][C]0.7417[/C][C]0.6612[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS11;AMS20[/C][C]0.3075[/C][C]0.2793[/C][C]0.2334[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS11;AMS23[/C][C]0.414[/C][C]0.4052[/C][C]0.3434[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS11;AMS25[/C][C]0.5723[/C][C]0.5722[/C][C]0.4948[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS11;AMS27[/C][C]0.3358[/C][C]0.3108[/C][C]0.2661[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS13;AMS16[/C][C]0.3649[/C][C]0.3537[/C][C]0.3048[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS13;AMS18[/C][C]0.2802[/C][C]0.2854[/C][C]0.2415[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS13;AMS20[/C][C]0.4807[/C][C]0.4536[/C][C]0.3879[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS13;AMS23[/C][C]0.2732[/C][C]0.294[/C][C]0.2543[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS13;AMS25[/C][C]0.3142[/C][C]0.3296[/C][C]0.2778[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS13;AMS27[/C][C]0.4499[/C][C]0.4383[/C][C]0.3807[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS16;AMS18[/C][C]0.3734[/C][C]0.3697[/C][C]0.3109[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS16;AMS20[/C][C]0.3796[/C][C]0.3426[/C][C]0.29[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS16;AMS23[/C][C]0.5701[/C][C]0.5095[/C][C]0.4484[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS16;AMS25[/C][C]0.4503[/C][C]0.4175[/C][C]0.3532[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS16;AMS27[/C][C]0.4411[/C][C]0.3841[/C][C]0.3272[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS18;AMS20[/C][C]0.3361[/C][C]0.302[/C][C]0.2527[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS18;AMS23[/C][C]0.4065[/C][C]0.4099[/C][C]0.3482[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS18;AMS25[/C][C]0.6199[/C][C]0.6217[/C][C]0.5347[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS18;AMS27[/C][C]0.3659[/C][C]0.3335[/C][C]0.2836[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS20;AMS23[/C][C]0.2601[/C][C]0.2461[/C][C]0.2072[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS20;AMS25[/C][C]0.324[/C][C]0.2871[/C][C]0.2441[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS20;AMS27[/C][C]0.5585[/C][C]0.5288[/C][C]0.4566[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS23;AMS25[/C][C]0.47[/C][C]0.4403[/C][C]0.371[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS23;AMS27[/C][C]0.4482[/C][C]0.4248[/C][C]0.3664[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]AMS25;AMS27[/C][C]0.4045[/C][C]0.3761[/C][C]0.3228[/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=266510&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266510&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
pair	Pearson r	Spearman rho	Kendall tau
AMS2;AMS4	0.3341	0.2983	0.2506
p-value	(0)	(0)	(0)
AMS2;AMS6	0.3549	0.3266	0.2748
p-value	(0)	(0)	(0)
AMS2;AMS9	0.4772	0.4532	0.3933
p-value	(0)	(0)	(0)
AMS2;AMS11	0.3497	0.3241	0.2732
p-value	(0)	(0)	(0)
AMS2;AMS13	0.2638	0.265	0.2238
p-value	(0)	(0)	(0)
AMS2;AMS16	0.4286	0.3932	0.3407
p-value	(0)	(0)	(0)
AMS2;AMS18	0.2276	0.2041	0.17
p-value	(1e-04)	(6e-04)	(5e-04)
AMS2;AMS20	0.1973	0.1863	0.1554
p-value	(9e-04)	(0.0018)	(0.0016)
AMS2;AMS23	0.5212	0.4643	0.4033
p-value	(0)	(0)	(0)
AMS2;AMS25	0.2895	0.25	0.2131
p-value	(0)	(0)	(0)
AMS2;AMS27	0.3699	0.3232	0.2699
p-value	(0)	(0)	(0)
AMS4;AMS6	0.3034	0.2816	0.2307
p-value	(0)	(0)	(0)
AMS4;AMS9	0.4094	0.402	0.3354
p-value	(0)	(0)	(0)
AMS4;AMS11	0.4117	0.3914	0.3218
p-value	(0)	(0)	(0)
AMS4;AMS13	0.298	0.2834	0.2378
p-value	(0)	(0)	(0)
AMS4;AMS16	0.1966	0.1486	0.1228
p-value	(0.001)	(0.013)	(0.0118)
AMS4;AMS18	0.4311	0.4215	0.3444
p-value	(0)	(0)	(0)
AMS4;AMS20	0.2075	0.1728	0.1433
p-value	(5e-04)	(0.0038)	(0.003)
AMS4;AMS23	0.3331	0.3194	0.2684
p-value	(0)	(0)	(0)
AMS4;AMS25	0.3814	0.3658	0.2983
p-value	(0)	(0)	(0)
AMS4;AMS27	0.2726	0.2097	0.171
p-value	(0)	(4e-04)	(4e-04)
AMS6;AMS9	0.4849	0.4604	0.3897
p-value	(0)	(0)	(0)
AMS6;AMS11	0.3579	0.349	0.2847
p-value	(0)	(0)	(0)
AMS6;AMS13	0.5386	0.5289	0.4559
p-value	(0)	(0)	(0)
AMS6;AMS16	0.4642	0.4131	0.3455
p-value	(0)	(0)	(0)
AMS6;AMS18	0.3806	0.369	0.3048
p-value	(0)	(0)	(0)
AMS6;AMS20	0.4206	0.367	0.3088
p-value	(0)	(0)	(0)
AMS6;AMS23	0.3566	0.3309	0.2757
p-value	(0)	(0)	(0)
AMS6;AMS25	0.4385	0.4105	0.3417
p-value	(0)	(0)	(0)
AMS6;AMS27	0.4663	0.4277	0.3596
p-value	(0)	(0)	(0)
AMS9;AMS11	0.5022	0.5018	0.4248
p-value	(0)	(0)	(0)
AMS9;AMS13	0.3815	0.381	0.3316
p-value	(0)	(0)	(0)
AMS9;AMS16	0.4862	0.4552	0.3957
p-value	(0)	(0)	(0)
AMS9;AMS18	0.4239	0.4235	0.3506
p-value	(0)	(0)	(0)
AMS9;AMS20	0.2829	0.2725	0.2304
p-value	(0)	(0)	(0)
AMS9;AMS23	0.5257	0.4849	0.4173
p-value	(0)	(0)	(0)
AMS9;AMS25	0.462	0.4662	0.3904
p-value	(0)	(0)	(0)
AMS9;AMS27	0.3989	0.3617	0.3089
p-value	(0)	(0)	(0)
AMS11;AMS13	0.2975	0.3101	0.2609
p-value	(0)	(0)	(0)
AMS11;AMS16	0.3686	0.3594	0.3027
p-value	(0)	(0)	(0)
AMS11;AMS18	0.7438	0.7417	0.6612
p-value	(0)	(0)	(0)
AMS11;AMS20	0.3075	0.2793	0.2334
p-value	(0)	(0)	(0)
AMS11;AMS23	0.414	0.4052	0.3434
p-value	(0)	(0)	(0)
AMS11;AMS25	0.5723	0.5722	0.4948
p-value	(0)	(0)	(0)
AMS11;AMS27	0.3358	0.3108	0.2661
p-value	(0)	(0)	(0)
AMS13;AMS16	0.3649	0.3537	0.3048
p-value	(0)	(0)	(0)
AMS13;AMS18	0.2802	0.2854	0.2415
p-value	(0)	(0)	(0)
AMS13;AMS20	0.4807	0.4536	0.3879
p-value	(0)	(0)	(0)
AMS13;AMS23	0.2732	0.294	0.2543
p-value	(0)	(0)	(0)
AMS13;AMS25	0.3142	0.3296	0.2778
p-value	(0)	(0)	(0)
AMS13;AMS27	0.4499	0.4383	0.3807
p-value	(0)	(0)	(0)
AMS16;AMS18	0.3734	0.3697	0.3109
p-value	(0)	(0)	(0)
AMS16;AMS20	0.3796	0.3426	0.29
p-value	(0)	(0)	(0)
AMS16;AMS23	0.5701	0.5095	0.4484
p-value	(0)	(0)	(0)
AMS16;AMS25	0.4503	0.4175	0.3532
p-value	(0)	(0)	(0)
AMS16;AMS27	0.4411	0.3841	0.3272
p-value	(0)	(0)	(0)
AMS18;AMS20	0.3361	0.302	0.2527
p-value	(0)	(0)	(0)
AMS18;AMS23	0.4065	0.4099	0.3482
p-value	(0)	(0)	(0)
AMS18;AMS25	0.6199	0.6217	0.5347
p-value	(0)	(0)	(0)
AMS18;AMS27	0.3659	0.3335	0.2836
p-value	(0)	(0)	(0)
AMS20;AMS23	0.2601	0.2461	0.2072
p-value	(0)	(0)	(0)
AMS20;AMS25	0.324	0.2871	0.2441
p-value	(0)	(0)	(0)
AMS20;AMS27	0.5585	0.5288	0.4566
p-value	(0)	(0)	(0)
AMS23;AMS25	0.47	0.4403	0.371
p-value	(0)	(0)	(0)
AMS23;AMS27	0.4482	0.4248	0.3664
p-value	(0)	(0)	(0)
AMS25;AMS27	0.4045	0.3761	0.3228
p-value	(0)	(0)	(0)

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I error	Pearson r	Spearman rho	Kendall tau
0.01	1	0.98	0.98
0.02	1	1	1
0.03	1	1	1
0.04	1	1	1
0.05	1	1	1
0.06	1	1	1
0.07	1	1	1
0.08	1	1	1
0.09	1	1	1
0.1	1	1	1

\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 & 1 & 0.98 & 0.98 \tabularnewline
0.02 & 1 & 1 & 1 \tabularnewline
0.03 & 1 & 1 & 1 \tabularnewline
0.04 & 1 & 1 & 1 \tabularnewline
0.05 & 1 & 1 & 1 \tabularnewline
0.06 & 1 & 1 & 1 \tabularnewline
0.07 & 1 & 1 & 1 \tabularnewline
0.08 & 1 & 1 & 1 \tabularnewline
0.09 & 1 & 1 & 1 \tabularnewline
0.1 & 1 & 1 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266510&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]1[/C][C]0.98[/C][C]0.98[/C][/ROW]
[ROW][C]0.02[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.03[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.04[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.05[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.06[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.07[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.08[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.09[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.1[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266510&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266510&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 error	Pearson r	Spearman rho	Kendall tau
0.01	1	0.98	0.98
0.02	1	1	1
0.03	1	1	1
0.04	1	1	1
0.05	1	1	1
0.06	1	1	1
0.07	1	1	1
0.08	1	1	1
0.09	1	1	1
0.1	1	1	1

Figure 1

PNG link

Postscript link

PDF link

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')
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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code