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R Software Module

rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Mon, 12 Dec 2011 16:54:32 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/12/t13237269052tbecr6ecr46ctj.htm/, Retrieved Fri, 03 May 2024 13:51:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154245, Retrieved Fri, 03 May 2024 13:51:00 +0000

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

-       [Kendall tau Correlation Matrix] [Workshop 10 - Pea...] [2011-12-12 21:54:32] [5646b3622df538fb37dafdccb2216e7a] [Current]

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Dataseries X:

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1	1	26	21	21	23	17	23	4
1	1	20	16	15	24	17	20	4
1	1	19	19	18	22	18	20	6
1	2	19	18	11	20	21	21	8
1	1	20	16	8	24	20	24	8
1	1	25	23	19	27	28	22	4
1	2	25	17	4	28	19	23	4
1	1	22	12	20	27	22	20	8
1	1	26	19	16	24	16	25	5
1	1	22	16	14	23	18	23	4
1	2	17	19	10	24	25	27	4
1	2	22	20	13	27	17	27	4
1	1	19	13	14	27	14	22	4
1	1	24	20	8	28	11	24	4
1	1	26	27	23	27	27	25	4
1	2	21	17	11	23	20	22	8
1	1	13	8	9	24	22	28	4
1	2	26	25	24	28	22	28	4
1	2	20	26	5	27	21	27	4
1	1	22	13	15	25	23	25	8
1	2	14	19	5	19	17	16	4
1	1	21	15	19	24	24	28	7
1	1	7	5	6	20	14	21	4
1	2	23	16	13	28	17	24	4
1	1	17	14	11	26	23	27	5
1	1	25	24	17	23	24	14	4
1	1	25	24	17	23	24	14	4
1	1	19	9	5	20	8	27	4
1	2	20	19	9	11	22	20	4
1	1	23	19	15	24	23	21	4
1	2	22	25	17	25	25	22	4
1	1	22	19	17	23	21	21	4
1	1	21	18	20	18	24	12	15
1	2	15	15	12	20	15	20	10
1	2	20	12	7	20	22	24	4
1	2	22	21	16	24	21	19	8
1	1	18	12	7	23	25	28	4
1	2	20	15	14	25	16	23	4
1	2	28	28	24	28	28	27	4
1	1	22	25	15	26	23	22	4
1	1	18	19	15	26	21	27	7
1	1	23	20	10	23	21	26	4
1	1	20	24	14	22	26	22	6
1	2	25	26	18	24	22	21	5
1	2	26	25	12	21	21	19	4
1	1	15	12	9	20	18	24	16
1	2	17	12	9	22	12	19	5
1	2	23	15	8	20	25	26	12
1	1	21	17	18	25	17	22	6
1	2	13	14	10	20	24	28	9
1	1	18	16	17	22	15	21	9
1	1	19	11	14	23	13	23	4
1	1	22	20	16	25	26	28	5
1	1	16	11	10	23	16	10	4
1	2	24	22	19	23	24	24	4
1	1	18	20	10	22	21	21	5
1	1	20	19	14	24	20	21	4
1	1	24	17	10	25	14	24	4
1	2	14	21	4	21	25	24	4
1	2	22	23	19	12	25	25	5
1	1	24	18	9	17	20	25	4
1	1	18	17	12	20	22	23	6
1	1	21	27	16	23	20	21	4
1	2	23	25	11	23	26	16	4
1	1	17	19	18	20	18	17	18
1	2	22	22	11	28	22	25	4
1	2	24	24	24	24	24	24	6
1	2	21	20	17	24	17	23	4
1	1	22	19	18	24	24	25	4
1	1	16	11	9	24	20	23	5
1	1	21	22	19	28	19	28	4
1	2	23	22	18	25	20	26	4
1	2	22	16	12	21	15	22	5
1	1	24	20	23	25	23	19	10
1	1	24	24	22	25	26	26	5
1	1	16	16	14	18	22	18	8
1	1	16	16	14	17	20	18	8
1	2	21	22	16	26	24	25	5
1	2	26	24	23	28	26	27	4
1	2	15	16	7	21	21	12	4
1	2	25	27	10	27	25	15	4
1	1	18	11	12	22	13	21	5
1	0	23	21	12	21	20	23	4
1	1	20	20	12	25	22	22	4
1	2	17	20	17	22	23	21	8
1	2	25	27	21	23	28	24	4
1	1	24	20	16	26	22	27	5
1	1	17	12	11	19	20	22	14
1	1	19	8	14	25	6	28	8
1	1	20	21	13	21	21	26	8
1	1	15	18	9	13	20	10	4
1	2	27	24	19	24	18	19	4
1	1	22	16	13	25	23	22	6
1	1	23	18	19	26	20	21	4
1	1	16	20	13	25	24	24	7
1	1	19	20	13	25	22	25	7
1	2	25	19	13	22	21	21	4
1	1	19	17	14	21	18	20	6
1	2	19	16	12	23	21	21	4
0	2	26	26	22	25	23	24	7
0	1	21	15	11	24	23	23	4
0	2	20	22	5	21	15	18	4
0	1	24	17	18	21	21	24	8
0	1	22	23	19	25	24	24	4
0	2	20	21	14	22	23	19	4
0	1	18	19	15	20	21	20	10
0	2	18	14	12	20	21	18	8
0	1	24	17	19	23	20	20	6
0	1	24	12	15	28	11	27	4
0	1	22	24	17	23	22	23	4
0	1	23	18	8	28	27	26	4
0	1	22	20	10	24	25	23	5
0	1	20	16	12	18	18	17	4
0	1	18	20	12	20	20	21	6
0	1	25	22	20	28	24	25	4
0	2	18	12	12	21	10	23	5
0	1	16	16	12	21	27	27	7
0	1	20	17	14	25	21	24	8
0	2	19	22	6	19	21	20	5
0	1	15	12	10	18	18	27	8
0	1	19	14	18	21	15	21	10
0	1	19	23	18	22	24	24	8
0	1	16	15	7	24	22	21	5
0	1	17	17	18	15	14	15	12
0	1	28	28	9	28	28	25	4
0	2	23	20	17	26	18	25	5
0	1	25	23	22	23	26	22	4
0	1	20	13	11	26	17	24	6
0	2	17	18	15	20	19	21	4
0	2	23	23	17	22	22	22	4
0	1	16	19	15	20	18	23	7
0	2	23	23	22	23	24	22	7
0	2	11	12	9	22	15	20	10
0	2	18	16	13	24	18	23	4
0	2	24	23	20	23	26	25	5
0	1	23	13	14	22	11	23	8
0	1	21	22	14	26	26	22	11
0	2	16	18	12	23	21	25	7
0	2	24	23	20	27	23	26	4
0	1	23	20	20	23	23	22	8
0	1	18	10	8	21	15	24	6
0	1	20	17	17	26	22	24	7
0	1	9	18	9	23	26	25	5
0	2	24	15	18	21	16	20	4
0	1	25	23	22	27	20	26	8
0	1	20	17	10	19	18	21	4
0	2	21	17	13	23	22	26	8
0	2	25	22	15	25	16	21	6
0	2	22	20	18	23	19	22	4
0	2	21	20	18	22	20	16	9
0	1	21	19	12	22	19	26	5
0	1	22	18	12	25	23	28	6
0	1	27	22	20	25	24	18	4
0	2	24	20	12	28	25	25	4
0	2	24	22	16	28	21	23	4
0	2	21	18	16	20	21	21	5
0	1	18	16	18	25	23	20	6
0	1	16	16	16	19	27	25	16
0	1	22	16	13	25	23	22	6
0	1	20	16	17	22	18	21	6
0	2	18	17	13	18	16	16	4
0	1	20	18	17	20	16	18	4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.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=154245&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.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=154245&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154245&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	2 seconds
R Server	'Gertrude Mary Cox' @ cox.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=pearson)
	Pop	G	I1	I2	I3	E1	E2	E3	A
Pop	1	0.003	0.005	0.008	-0.082	0.041	0.001	-0.004	-0.086
G	0.003	1	0.103	0.245	-0.033	-0.009	0.051	-0.046	-0.163
I1	0.005	0.103	1	0.599	0.521	0.457	0.239	0.136	-0.298
I2	0.008	0.245	0.599	1	0.445	0.26	0.562	-0.009	-0.24
I3	-0.082	-0.033	0.521	0.445	1	0.241	0.25	0.04	0.088
E1	0.041	-0.009	0.457	0.26	0.241	1	0.168	0.416	-0.293
E2	0.001	0.051	0.239	0.562	0.25	0.168	1	0.144	-0.016
E3	-0.004	-0.046	0.136	-0.009	0.04	0.416	0.144	1	-0.087
A	-0.086	-0.163	-0.298	-0.24	0.088	-0.293	-0.016	-0.087	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Pop & G & I1 & I2 & I3 & E1 & E2 & E3 & A
 \tabularnewline
Pop & 1 & 0.003 & 0.005 & 0.008 & -0.082 & 0.041 & 0.001 & -0.004 & -0.086 \tabularnewline
G & 0.003 & 1 & 0.103 & 0.245 & -0.033 & -0.009 & 0.051 & -0.046 & -0.163 \tabularnewline
I1 & 0.005 & 0.103 & 1 & 0.599 & 0.521 & 0.457 & 0.239 & 0.136 & -0.298 \tabularnewline
I2 & 0.008 & 0.245 & 0.599 & 1 & 0.445 & 0.26 & 0.562 & -0.009 & -0.24 \tabularnewline
I3 & -0.082 & -0.033 & 0.521 & 0.445 & 1 & 0.241 & 0.25 & 0.04 & 0.088 \tabularnewline
E1 & 0.041 & -0.009 & 0.457 & 0.26 & 0.241 & 1 & 0.168 & 0.416 & -0.293 \tabularnewline
E2 & 0.001 & 0.051 & 0.239 & 0.562 & 0.25 & 0.168 & 1 & 0.144 & -0.016 \tabularnewline
E3 & -0.004 & -0.046 & 0.136 & -0.009 & 0.04 & 0.416 & 0.144 & 1 & -0.087 \tabularnewline
A
 & -0.086 & -0.163 & -0.298 & -0.24 & 0.088 & -0.293 & -0.016 & -0.087 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154245&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Pop[/C][C]G[/C][C]I1[/C][C]I2[/C][C]I3[/C][C]E1[/C][C]E2[/C][C]E3[/C][C]A
[/C][/ROW]
[ROW][C]Pop[/C][C]1[/C][C]0.003[/C][C]0.005[/C][C]0.008[/C][C]-0.082[/C][C]0.041[/C][C]0.001[/C][C]-0.004[/C][C]-0.086[/C][/ROW]
[ROW][C]G[/C][C]0.003[/C][C]1[/C][C]0.103[/C][C]0.245[/C][C]-0.033[/C][C]-0.009[/C][C]0.051[/C][C]-0.046[/C][C]-0.163[/C][/ROW]
[ROW][C]I1[/C][C]0.005[/C][C]0.103[/C][C]1[/C][C]0.599[/C][C]0.521[/C][C]0.457[/C][C]0.239[/C][C]0.136[/C][C]-0.298[/C][/ROW]
[ROW][C]I2[/C][C]0.008[/C][C]0.245[/C][C]0.599[/C][C]1[/C][C]0.445[/C][C]0.26[/C][C]0.562[/C][C]-0.009[/C][C]-0.24[/C][/ROW]
[ROW][C]I3[/C][C]-0.082[/C][C]-0.033[/C][C]0.521[/C][C]0.445[/C][C]1[/C][C]0.241[/C][C]0.25[/C][C]0.04[/C][C]0.088[/C][/ROW]
[ROW][C]E1[/C][C]0.041[/C][C]-0.009[/C][C]0.457[/C][C]0.26[/C][C]0.241[/C][C]1[/C][C]0.168[/C][C]0.416[/C][C]-0.293[/C][/ROW]
[ROW][C]E2[/C][C]0.001[/C][C]0.051[/C][C]0.239[/C][C]0.562[/C][C]0.25[/C][C]0.168[/C][C]1[/C][C]0.144[/C][C]-0.016[/C][/ROW]
[ROW][C]E3[/C][C]-0.004[/C][C]-0.046[/C][C]0.136[/C][C]-0.009[/C][C]0.04[/C][C]0.416[/C][C]0.144[/C][C]1[/C][C]-0.087[/C][/ROW]
[ROW][C]A
[/C][C]-0.086[/C][C]-0.163[/C][C]-0.298[/C][C]-0.24[/C][C]0.088[/C][C]-0.293[/C][C]-0.016[/C][C]-0.087[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154245&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154245&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)
	Pop	G	I1	I2	I3	E1	E2	E3	A
Pop	1	0.003	0.005	0.008	-0.082	0.041	0.001	-0.004	-0.086
G	0.003	1	0.103	0.245	-0.033	-0.009	0.051	-0.046	-0.163
I1	0.005	0.103	1	0.599	0.521	0.457	0.239	0.136	-0.298
I2	0.008	0.245	0.599	1	0.445	0.26	0.562	-0.009	-0.24
I3	-0.082	-0.033	0.521	0.445	1	0.241	0.25	0.04	0.088
E1	0.041	-0.009	0.457	0.26	0.241	1	0.168	0.416	-0.293
E2	0.001	0.051	0.239	0.562	0.25	0.168	1	0.144	-0.016
E3	-0.004	-0.046	0.136	-0.009	0.04	0.416	0.144	1	-0.087
A	-0.086	-0.163	-0.298	-0.24	0.088	-0.293	-0.016	-0.087	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Pop;G	0.0028	0.0067	0.0067
p-value	(0.9716)	(0.9325)	(0.9322)
Pop;I1	0.005	0.0088	0.0075
p-value	(0.9495)	(0.9112)	(0.9108)
Pop;I2	0.0081	0.0232	0.0196
p-value	(0.9184)	(0.7693)	(0.7683)
Pop;I3	-0.0816	-0.0886	-0.0746
p-value	(0.302)	(0.2622)	(0.2609)
Pop;E1	0.0414	0.0817	0.0699
p-value	(0.6013)	(0.3013)	(0.2999)
Pop;E2	0.0012	0.0072	0.0061
p-value	(0.9881)	(0.9275)	(0.9272)
Pop;E3	-0.0039	0.0322	0.0274
p-value	(0.9609)	(0.6839)	(0.6825)
Pop;A	-0.0863	-0.1699	-0.1537
p-value	(0.2751)	(0.0307)	(0.0311)
G;I1	0.1025	0.1202	0.1013
p-value	(0.1941)	(0.1277)	(0.1288)
G;I2	0.2454	0.2388	0.2002
p-value	(0.0016)	(0.0022)	(0.0025)
G;I3	-0.0331	-0.0348	-0.0289
p-value	(0.6762)	(0.6603)	(0.6621)
G;E1	-0.009	-0.0188	-0.016
p-value	(0.9096)	(0.8123)	(0.8124)
G;E2	0.051	0.0377	0.0315
p-value	(0.5194)	(0.6338)	(0.6359)
G;E3	-0.046	-0.0644	-0.0547
p-value	(0.5607)	(0.4155)	(0.4136)
G;A	-0.1625	-0.1696	-0.1531
p-value	(0.0388)	(0.0309)	(0.0312)
I1;I2	0.5992	0.5852	0.4418
p-value	(0)	(0)	(0)
I1;I3	0.5207	0.5018	0.3854
p-value	(0)	(0)	(0)
I1;E1	0.4571	0.5076	0.3779
p-value	(0)	(0)	(0)
I1;E2	0.2385	0.2688	0.2047
p-value	(0.0022)	(5e-04)	(3e-04)
I1;E3	0.1362	0.1478	0.1162
p-value	(0.0839)	(0.0606)	(0.0415)
I1;A	-0.298	-0.3371	-0.2642
p-value	(1e-04)	(0)	(0)
I2;I3	0.4452	0.44	0.3331
p-value	(0)	(0)	(0)
I2;E1	0.2605	0.3057	0.2201
p-value	(8e-04)	(1e-04)	(1e-04)
I2;E2	0.5616	0.5005	0.3812
p-value	(0)	(0)	(0)
I2;E3	-0.0094	0.0291	0.0222
p-value	(0.9058)	(0.7132)	(0.6956)
I2;A	-0.2399	-0.2839	-0.22
p-value	(0.0021)	(3e-04)	(3e-04)
I3;E1	0.2411	0.2578	0.1921
p-value	(0.002)	(9e-04)	(7e-04)
I3;E2	0.2504	0.2241	0.1653
p-value	(0.0013)	(0.0041)	(0.0033)
I3;E3	0.0402	-0.0096	-0.0092
p-value	(0.6116)	(0.9035)	(0.8702)
I3;A	0.0877	0.09	0.0713
p-value	(0.2673)	(0.2545)	(0.235)
E1;E2	0.1678	0.2423	0.1748
p-value	(0.0329)	(0.0019)	(0.0022)
E1;E3	0.416	0.4224	0.3239
p-value	(0)	(0)	(0)
E1;A	-0.2927	-0.2716	-0.2172
p-value	(2e-04)	(5e-04)	(4e-04)
E2;E3	0.1444	0.254	0.1824
p-value	(0.0667)	(0.0011)	(0.0013)
E2;A	-0.0155	-0.0199	-0.0174
p-value	(0.8445)	(0.8015)	(0.7734)
E3;A	-0.0871	-0.0209	-0.0175
p-value	(0.2707)	(0.7918)	(0.7731)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Pop;G & 0.0028 & 0.0067 & 0.0067 \tabularnewline
p-value & (0.9716) & (0.9325) & (0.9322) \tabularnewline
Pop;I1 & 0.005 & 0.0088 & 0.0075 \tabularnewline
p-value & (0.9495) & (0.9112) & (0.9108) \tabularnewline
Pop;I2 & 0.0081 & 0.0232 & 0.0196 \tabularnewline
p-value & (0.9184) & (0.7693) & (0.7683) \tabularnewline
Pop;I3 & -0.0816 & -0.0886 & -0.0746 \tabularnewline
p-value & (0.302) & (0.2622) & (0.2609) \tabularnewline
Pop;E1 & 0.0414 & 0.0817 & 0.0699 \tabularnewline
p-value & (0.6013) & (0.3013) & (0.2999) \tabularnewline
Pop;E2 & 0.0012 & 0.0072 & 0.0061 \tabularnewline
p-value & (0.9881) & (0.9275) & (0.9272) \tabularnewline
Pop;E3 & -0.0039 & 0.0322 & 0.0274 \tabularnewline
p-value & (0.9609) & (0.6839) & (0.6825) \tabularnewline
Pop;A
 & -0.0863 & -0.1699 & -0.1537 \tabularnewline
p-value & (0.2751) & (0.0307) & (0.0311) \tabularnewline
G;I1 & 0.1025 & 0.1202 & 0.1013 \tabularnewline
p-value & (0.1941) & (0.1277) & (0.1288) \tabularnewline
G;I2 & 0.2454 & 0.2388 & 0.2002 \tabularnewline
p-value & (0.0016) & (0.0022) & (0.0025) \tabularnewline
G;I3 & -0.0331 & -0.0348 & -0.0289 \tabularnewline
p-value & (0.6762) & (0.6603) & (0.6621) \tabularnewline
G;E1 & -0.009 & -0.0188 & -0.016 \tabularnewline
p-value & (0.9096) & (0.8123) & (0.8124) \tabularnewline
G;E2 & 0.051 & 0.0377 & 0.0315 \tabularnewline
p-value & (0.5194) & (0.6338) & (0.6359) \tabularnewline
G;E3 & -0.046 & -0.0644 & -0.0547 \tabularnewline
p-value & (0.5607) & (0.4155) & (0.4136) \tabularnewline
G;A
 & -0.1625 & -0.1696 & -0.1531 \tabularnewline
p-value & (0.0388) & (0.0309) & (0.0312) \tabularnewline
I1;I2 & 0.5992 & 0.5852 & 0.4418 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I1;I3 & 0.5207 & 0.5018 & 0.3854 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I1;E1 & 0.4571 & 0.5076 & 0.3779 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I1;E2 & 0.2385 & 0.2688 & 0.2047 \tabularnewline
p-value & (0.0022) & (5e-04) & (3e-04) \tabularnewline
I1;E3 & 0.1362 & 0.1478 & 0.1162 \tabularnewline
p-value & (0.0839) & (0.0606) & (0.0415) \tabularnewline
I1;A
 & -0.298 & -0.3371 & -0.2642 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
I2;I3 & 0.4452 & 0.44 & 0.3331 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I2;E1 & 0.2605 & 0.3057 & 0.2201 \tabularnewline
p-value & (8e-04) & (1e-04) & (1e-04) \tabularnewline
I2;E2 & 0.5616 & 0.5005 & 0.3812 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I2;E3 & -0.0094 & 0.0291 & 0.0222 \tabularnewline
p-value & (0.9058) & (0.7132) & (0.6956) \tabularnewline
I2;A
 & -0.2399 & -0.2839 & -0.22 \tabularnewline
p-value & (0.0021) & (3e-04) & (3e-04) \tabularnewline
I3;E1 & 0.2411 & 0.2578 & 0.1921 \tabularnewline
p-value & (0.002) & (9e-04) & (7e-04) \tabularnewline
I3;E2 & 0.2504 & 0.2241 & 0.1653 \tabularnewline
p-value & (0.0013) & (0.0041) & (0.0033) \tabularnewline
I3;E3 & 0.0402 & -0.0096 & -0.0092 \tabularnewline
p-value & (0.6116) & (0.9035) & (0.8702) \tabularnewline
I3;A
 & 0.0877 & 0.09 & 0.0713 \tabularnewline
p-value & (0.2673) & (0.2545) & (0.235) \tabularnewline
E1;E2 & 0.1678 & 0.2423 & 0.1748 \tabularnewline
p-value & (0.0329) & (0.0019) & (0.0022) \tabularnewline
E1;E3 & 0.416 & 0.4224 & 0.3239 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
E1;A
 & -0.2927 & -0.2716 & -0.2172 \tabularnewline
p-value & (2e-04) & (5e-04) & (4e-04) \tabularnewline
E2;E3 & 0.1444 & 0.254 & 0.1824 \tabularnewline
p-value & (0.0667) & (0.0011) & (0.0013) \tabularnewline
E2;A
 & -0.0155 & -0.0199 & -0.0174 \tabularnewline
p-value & (0.8445) & (0.8015) & (0.7734) \tabularnewline
E3;A
 & -0.0871 & -0.0209 & -0.0175 \tabularnewline
p-value & (0.2707) & (0.7918) & (0.7731) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154245&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]Pop;G[/C][C]0.0028[/C][C]0.0067[/C][C]0.0067[/C][/ROW]
[ROW][C]p-value[/C][C](0.9716)[/C][C](0.9325)[/C][C](0.9322)[/C][/ROW]
[ROW][C]Pop;I1[/C][C]0.005[/C][C]0.0088[/C][C]0.0075[/C][/ROW]
[ROW][C]p-value[/C][C](0.9495)[/C][C](0.9112)[/C][C](0.9108)[/C][/ROW]
[ROW][C]Pop;I2[/C][C]0.0081[/C][C]0.0232[/C][C]0.0196[/C][/ROW]
[ROW][C]p-value[/C][C](0.9184)[/C][C](0.7693)[/C][C](0.7683)[/C][/ROW]
[ROW][C]Pop;I3[/C][C]-0.0816[/C][C]-0.0886[/C][C]-0.0746[/C][/ROW]
[ROW][C]p-value[/C][C](0.302)[/C][C](0.2622)[/C][C](0.2609)[/C][/ROW]
[ROW][C]Pop;E1[/C][C]0.0414[/C][C]0.0817[/C][C]0.0699[/C][/ROW]
[ROW][C]p-value[/C][C](0.6013)[/C][C](0.3013)[/C][C](0.2999)[/C][/ROW]
[ROW][C]Pop;E2[/C][C]0.0012[/C][C]0.0072[/C][C]0.0061[/C][/ROW]
[ROW][C]p-value[/C][C](0.9881)[/C][C](0.9275)[/C][C](0.9272)[/C][/ROW]
[ROW][C]Pop;E3[/C][C]-0.0039[/C][C]0.0322[/C][C]0.0274[/C][/ROW]
[ROW][C]p-value[/C][C](0.9609)[/C][C](0.6839)[/C][C](0.6825)[/C][/ROW]
[ROW][C]Pop;A
[/C][C]-0.0863[/C][C]-0.1699[/C][C]-0.1537[/C][/ROW]
[ROW][C]p-value[/C][C](0.2751)[/C][C](0.0307)[/C][C](0.0311)[/C][/ROW]
[ROW][C]G;I1[/C][C]0.1025[/C][C]0.1202[/C][C]0.1013[/C][/ROW]
[ROW][C]p-value[/C][C](0.1941)[/C][C](0.1277)[/C][C](0.1288)[/C][/ROW]
[ROW][C]G;I2[/C][C]0.2454[/C][C]0.2388[/C][C]0.2002[/C][/ROW]
[ROW][C]p-value[/C][C](0.0016)[/C][C](0.0022)[/C][C](0.0025)[/C][/ROW]
[ROW][C]G;I3[/C][C]-0.0331[/C][C]-0.0348[/C][C]-0.0289[/C][/ROW]
[ROW][C]p-value[/C][C](0.6762)[/C][C](0.6603)[/C][C](0.6621)[/C][/ROW]
[ROW][C]G;E1[/C][C]-0.009[/C][C]-0.0188[/C][C]-0.016[/C][/ROW]
[ROW][C]p-value[/C][C](0.9096)[/C][C](0.8123)[/C][C](0.8124)[/C][/ROW]
[ROW][C]G;E2[/C][C]0.051[/C][C]0.0377[/C][C]0.0315[/C][/ROW]
[ROW][C]p-value[/C][C](0.5194)[/C][C](0.6338)[/C][C](0.6359)[/C][/ROW]
[ROW][C]G;E3[/C][C]-0.046[/C][C]-0.0644[/C][C]-0.0547[/C][/ROW]
[ROW][C]p-value[/C][C](0.5607)[/C][C](0.4155)[/C][C](0.4136)[/C][/ROW]
[ROW][C]G;A
[/C][C]-0.1625[/C][C]-0.1696[/C][C]-0.1531[/C][/ROW]
[ROW][C]p-value[/C][C](0.0388)[/C][C](0.0309)[/C][C](0.0312)[/C][/ROW]
[ROW][C]I1;I2[/C][C]0.5992[/C][C]0.5852[/C][C]0.4418[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I1;I3[/C][C]0.5207[/C][C]0.5018[/C][C]0.3854[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I1;E1[/C][C]0.4571[/C][C]0.5076[/C][C]0.3779[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I1;E2[/C][C]0.2385[/C][C]0.2688[/C][C]0.2047[/C][/ROW]
[ROW][C]p-value[/C][C](0.0022)[/C][C](5e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]I1;E3[/C][C]0.1362[/C][C]0.1478[/C][C]0.1162[/C][/ROW]
[ROW][C]p-value[/C][C](0.0839)[/C][C](0.0606)[/C][C](0.0415)[/C][/ROW]
[ROW][C]I1;A
[/C][C]-0.298[/C][C]-0.3371[/C][C]-0.2642[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I2;I3[/C][C]0.4452[/C][C]0.44[/C][C]0.3331[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I2;E1[/C][C]0.2605[/C][C]0.3057[/C][C]0.2201[/C][/ROW]
[ROW][C]p-value[/C][C](8e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]I2;E2[/C][C]0.5616[/C][C]0.5005[/C][C]0.3812[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I2;E3[/C][C]-0.0094[/C][C]0.0291[/C][C]0.0222[/C][/ROW]
[ROW][C]p-value[/C][C](0.9058)[/C][C](0.7132)[/C][C](0.6956)[/C][/ROW]
[ROW][C]I2;A
[/C][C]-0.2399[/C][C]-0.2839[/C][C]-0.22[/C][/ROW]
[ROW][C]p-value[/C][C](0.0021)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]I3;E1[/C][C]0.2411[/C][C]0.2578[/C][C]0.1921[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](9e-04)[/C][C](7e-04)[/C][/ROW]
[ROW][C]I3;E2[/C][C]0.2504[/C][C]0.2241[/C][C]0.1653[/C][/ROW]
[ROW][C]p-value[/C][C](0.0013)[/C][C](0.0041)[/C][C](0.0033)[/C][/ROW]
[ROW][C]I3;E3[/C][C]0.0402[/C][C]-0.0096[/C][C]-0.0092[/C][/ROW]
[ROW][C]p-value[/C][C](0.6116)[/C][C](0.9035)[/C][C](0.8702)[/C][/ROW]
[ROW][C]I3;A
[/C][C]0.0877[/C][C]0.09[/C][C]0.0713[/C][/ROW]
[ROW][C]p-value[/C][C](0.2673)[/C][C](0.2545)[/C][C](0.235)[/C][/ROW]
[ROW][C]E1;E2[/C][C]0.1678[/C][C]0.2423[/C][C]0.1748[/C][/ROW]
[ROW][C]p-value[/C][C](0.0329)[/C][C](0.0019)[/C][C](0.0022)[/C][/ROW]
[ROW][C]E1;E3[/C][C]0.416[/C][C]0.4224[/C][C]0.3239[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]E1;A
[/C][C]-0.2927[/C][C]-0.2716[/C][C]-0.2172[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](5e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]E2;E3[/C][C]0.1444[/C][C]0.254[/C][C]0.1824[/C][/ROW]
[ROW][C]p-value[/C][C](0.0667)[/C][C](0.0011)[/C][C](0.0013)[/C][/ROW]
[ROW][C]E2;A
[/C][C]-0.0155[/C][C]-0.0199[/C][C]-0.0174[/C][/ROW]
[ROW][C]p-value[/C][C](0.8445)[/C][C](0.8015)[/C][C](0.7734)[/C][/ROW]
[ROW][C]E3;A
[/C][C]-0.0871[/C][C]-0.0209[/C][C]-0.0175[/C][/ROW]
[ROW][C]p-value[/C][C](0.2707)[/C][C](0.7918)[/C][C](0.7731)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154245&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154245&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
Pop;G	0.0028	0.0067	0.0067
p-value	(0.9716)	(0.9325)	(0.9322)
Pop;I1	0.005	0.0088	0.0075
p-value	(0.9495)	(0.9112)	(0.9108)
Pop;I2	0.0081	0.0232	0.0196
p-value	(0.9184)	(0.7693)	(0.7683)
Pop;I3	-0.0816	-0.0886	-0.0746
p-value	(0.302)	(0.2622)	(0.2609)
Pop;E1	0.0414	0.0817	0.0699
p-value	(0.6013)	(0.3013)	(0.2999)
Pop;E2	0.0012	0.0072	0.0061
p-value	(0.9881)	(0.9275)	(0.9272)
Pop;E3	-0.0039	0.0322	0.0274
p-value	(0.9609)	(0.6839)	(0.6825)
Pop;A	-0.0863	-0.1699	-0.1537
p-value	(0.2751)	(0.0307)	(0.0311)
G;I1	0.1025	0.1202	0.1013
p-value	(0.1941)	(0.1277)	(0.1288)
G;I2	0.2454	0.2388	0.2002
p-value	(0.0016)	(0.0022)	(0.0025)
G;I3	-0.0331	-0.0348	-0.0289
p-value	(0.6762)	(0.6603)	(0.6621)
G;E1	-0.009	-0.0188	-0.016
p-value	(0.9096)	(0.8123)	(0.8124)
G;E2	0.051	0.0377	0.0315
p-value	(0.5194)	(0.6338)	(0.6359)
G;E3	-0.046	-0.0644	-0.0547
p-value	(0.5607)	(0.4155)	(0.4136)
G;A	-0.1625	-0.1696	-0.1531
p-value	(0.0388)	(0.0309)	(0.0312)
I1;I2	0.5992	0.5852	0.4418
p-value	(0)	(0)	(0)
I1;I3	0.5207	0.5018	0.3854
p-value	(0)	(0)	(0)
I1;E1	0.4571	0.5076	0.3779
p-value	(0)	(0)	(0)
I1;E2	0.2385	0.2688	0.2047
p-value	(0.0022)	(5e-04)	(3e-04)
I1;E3	0.1362	0.1478	0.1162
p-value	(0.0839)	(0.0606)	(0.0415)
I1;A	-0.298	-0.3371	-0.2642
p-value	(1e-04)	(0)	(0)
I2;I3	0.4452	0.44	0.3331
p-value	(0)	(0)	(0)
I2;E1	0.2605	0.3057	0.2201
p-value	(8e-04)	(1e-04)	(1e-04)
I2;E2	0.5616	0.5005	0.3812
p-value	(0)	(0)	(0)
I2;E3	-0.0094	0.0291	0.0222
p-value	(0.9058)	(0.7132)	(0.6956)
I2;A	-0.2399	-0.2839	-0.22
p-value	(0.0021)	(3e-04)	(3e-04)
I3;E1	0.2411	0.2578	0.1921
p-value	(0.002)	(9e-04)	(7e-04)
I3;E2	0.2504	0.2241	0.1653
p-value	(0.0013)	(0.0041)	(0.0033)
I3;E3	0.0402	-0.0096	-0.0092
p-value	(0.6116)	(0.9035)	(0.8702)
I3;A	0.0877	0.09	0.0713
p-value	(0.2673)	(0.2545)	(0.235)
E1;E2	0.1678	0.2423	0.1748
p-value	(0.0329)	(0.0019)	(0.0022)
E1;E3	0.416	0.4224	0.3239
p-value	(0)	(0)	(0)
E1;A	-0.2927	-0.2716	-0.2172
p-value	(2e-04)	(5e-04)	(4e-04)
E2;E3	0.1444	0.254	0.1824
p-value	(0.0667)	(0.0011)	(0.0013)
E2;A	-0.0155	-0.0199	-0.0174
p-value	(0.8445)	(0.8015)	(0.7734)
E3;A	-0.0871	-0.0209	-0.0175
p-value	(0.2707)	(0.7918)	(0.7731)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = pearson ;

Parameters (R input):

par1 = pearson ;

R code (references can be found in the software module):

panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code