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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 14 Dec 2010 17:40:25 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/14/t1292348754jv7emregws2z9x3.htm/, Retrieved Fri, 03 May 2024 01:53:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109948, Retrieved Fri, 03 May 2024 01:53:41 +0000

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115

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-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [] [2010-12-14 17:40:25] [c2e23af56713b360851e64c7775b3f2b] [Current]

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6,300	0,301	0,653	0,000	0,820	1,623	3,000	1,000	3,000
2,100	0,255	1,839	3,406	3,663	2,795	3,000	5,000	4,000
9,100	-0,155	1,431	1,023	2,254	2,255	4,000	4,000	4,000
15,800	0,591	1,279	-1,638	-0,523	1,544	1,000	1,000	1,000
5,200	0,000	1,483	2,204	2,228	2,593	4,000	5,000	4,000
10,900	0,556	1,447	0,519	1,408	1,799	1,000	2,000	1,000
8,300	0,146	1,699	1,717	2,643	2,362	1,000	1,000	1,000
11,000	0,176	0,845	-0,372	0,806	2,049	5,000	4,000	4,000
3,200	-0,155	1,477	2,667	2,626	2,449	5,000	5,000	5,000
6,300	0,322	0,544	-1,125	0,079	1,623	1,000	1,000	1,000
6,600	0,613	0,778	-0,105	0,544	1,623	2,000	2,000	2,000
9,500	0,079	1,017	-0,699	0,699	2,079	2,000	2,000	2,000
3,300	-0,301	1,301	1,442	2,061	2,170	5,000	5,000	5,000
11,000	0,531	0,591	-0,921	0,000	1,204	3,000	1,000	2,000
4,700	0,176	1,613	1,929	2,512	2,491	1,000	3,000	1,000
10,400	0,531	0,954	-0,996	0,602	1,447	5,000	1,000	3,000
7,400	-0,097	0,881	0,017	0,740	1,833	5,000	3,000	4,000
2,100	-0,097	1,663	2,717	2,816	2,526	5,000	5,000	5,000
17,900	0,301	1,380	-2,000	-0,602	1,699	1,000	1,000	1,000
6,100	0,279	2,000	1,792	3,121	2,427	1,000	1,000	1,000
11,900	0,114	0,505	-1,638	-0,398	1,279	4,000	1,000	3,000
13,800	0,748	0,699	0,230	0,799	1,079	2,000	1,000	1,000
14,300	0,491	0,813	0,544	1,033	2,079	2,000	1,000	1,000
15,200	0,255	1,079	-0,319	1,190	2,146	2,000	2,000	2,000
10,000	-0,046	1,305	1,000	2,061	2,230	4,000	4,000	4,000
11,900	0,255	1,114	0,210	1,057	1,230	2,000	1,000	2,000
6,500	0,279	1,431	2,283	2,255	2,061	4,000	4,000	4,000
7,500	-0,046	1,255	0,398	1,083	1,491	5,000	5,000	5,000
10,600	0,415	0,672	-0,553	0,279	1,322	3,000	1,000	3,000
7,400	0,380	0,991	0,627	1,702	1,716	1,000	1,000	1,000
8,400	0,079	1,462	0,833	2,253	2,215	2,000	3,000	2,000
5,700	-0,046	0,845	-0,125	1,090	2,352	2,000	2,000	2,000
4,900	-0,301	0,778	0,556	1,322	2,352	3,000	2,000	3,000
3,200	-0,222	1,301	1,744	2,243	2,179	5,000	5,000	5,000
11,000	0,362	0,653	-0,046	0,415	1,778	2,000	1,000	2,000
4,900	-0,301	0,875	0,301	1,090	2,301	3,000	1,000	3,000
13,200	0,415	0,362	-0,983	0,398	1,663	3,000	2,000	2,000
9,700	-0,222	1,380	0,622	1,763	2,322	4,000	3,000	4,000
12,800	0,820	0,477	0,544	0,591	1,146	2,000	1,000	1,000

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109948&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109948&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109948&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	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=pearson)
	SWS	logPS	logL	logwb	logwbr	logtg	P	S	D
SWS	1	0.581	-0.378	-0.712	-0.679	-0.601	-0.369	-0.58	-0.542
logPS	0.581	1	-0.346	-0.372	-0.438	-0.646	-0.534	-0.591	-0.684
logL	-0.378	-0.346	1	0.685	0.777	0.679	0.019	0.519	0.227
logwb	-0.712	-0.372	0.685	1	0.945	0.695	0.253	0.662	0.432
logwbr	-0.679	-0.438	0.777	0.945	1	0.777	0.192	0.624	0.377
logtg	-0.601	-0.646	0.679	0.695	0.777	1	0.148	0.58	0.353
P	-0.369	-0.534	0.019	0.253	0.192	0.148	1	0.68	0.93
S	-0.58	-0.591	0.519	0.662	0.624	0.58	0.68	1	0.819
D	-0.542	-0.684	0.227	0.432	0.377	0.353	0.93	0.819	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & SWS & logPS & logL & logwb & logwbr & logtg & P & S & D \tabularnewline
SWS & 1 & 0.581 & -0.378 & -0.712 & -0.679 & -0.601 & -0.369 & -0.58 & -0.542 \tabularnewline
logPS & 0.581 & 1 & -0.346 & -0.372 & -0.438 & -0.646 & -0.534 & -0.591 & -0.684 \tabularnewline
logL & -0.378 & -0.346 & 1 & 0.685 & 0.777 & 0.679 & 0.019 & 0.519 & 0.227 \tabularnewline
logwb & -0.712 & -0.372 & 0.685 & 1 & 0.945 & 0.695 & 0.253 & 0.662 & 0.432 \tabularnewline
logwbr & -0.679 & -0.438 & 0.777 & 0.945 & 1 & 0.777 & 0.192 & 0.624 & 0.377 \tabularnewline
logtg & -0.601 & -0.646 & 0.679 & 0.695 & 0.777 & 1 & 0.148 & 0.58 & 0.353 \tabularnewline
P & -0.369 & -0.534 & 0.019 & 0.253 & 0.192 & 0.148 & 1 & 0.68 & 0.93 \tabularnewline
S & -0.58 & -0.591 & 0.519 & 0.662 & 0.624 & 0.58 & 0.68 & 1 & 0.819 \tabularnewline
D & -0.542 & -0.684 & 0.227 & 0.432 & 0.377 & 0.353 & 0.93 & 0.819 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109948&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]SWS[/C][C]logPS[/C][C]logL[/C][C]logwb[/C][C]logwbr[/C][C]logtg[/C][C]P[/C][C]S[/C][C]D[/C][/ROW]
[ROW][C]SWS[/C][C]1[/C][C]0.581[/C][C]-0.378[/C][C]-0.712[/C][C]-0.679[/C][C]-0.601[/C][C]-0.369[/C][C]-0.58[/C][C]-0.542[/C][/ROW]
[ROW][C]logPS[/C][C]0.581[/C][C]1[/C][C]-0.346[/C][C]-0.372[/C][C]-0.438[/C][C]-0.646[/C][C]-0.534[/C][C]-0.591[/C][C]-0.684[/C][/ROW]
[ROW][C]logL[/C][C]-0.378[/C][C]-0.346[/C][C]1[/C][C]0.685[/C][C]0.777[/C][C]0.679[/C][C]0.019[/C][C]0.519[/C][C]0.227[/C][/ROW]
[ROW][C]logwb[/C][C]-0.712[/C][C]-0.372[/C][C]0.685[/C][C]1[/C][C]0.945[/C][C]0.695[/C][C]0.253[/C][C]0.662[/C][C]0.432[/C][/ROW]
[ROW][C]logwbr[/C][C]-0.679[/C][C]-0.438[/C][C]0.777[/C][C]0.945[/C][C]1[/C][C]0.777[/C][C]0.192[/C][C]0.624[/C][C]0.377[/C][/ROW]
[ROW][C]logtg[/C][C]-0.601[/C][C]-0.646[/C][C]0.679[/C][C]0.695[/C][C]0.777[/C][C]1[/C][C]0.148[/C][C]0.58[/C][C]0.353[/C][/ROW]
[ROW][C]P[/C][C]-0.369[/C][C]-0.534[/C][C]0.019[/C][C]0.253[/C][C]0.192[/C][C]0.148[/C][C]1[/C][C]0.68[/C][C]0.93[/C][/ROW]
[ROW][C]S[/C][C]-0.58[/C][C]-0.591[/C][C]0.519[/C][C]0.662[/C][C]0.624[/C][C]0.58[/C][C]0.68[/C][C]1[/C][C]0.819[/C][/ROW]
[ROW][C]D[/C][C]-0.542[/C][C]-0.684[/C][C]0.227[/C][C]0.432[/C][C]0.377[/C][C]0.353[/C][C]0.93[/C][C]0.819[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109948&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109948&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)
	SWS	logPS	logL	logwb	logwbr	logtg	P	S	D
SWS	1	0.581	-0.378	-0.712	-0.679	-0.601	-0.369	-0.58	-0.542
logPS	0.581	1	-0.346	-0.372	-0.438	-0.646	-0.534	-0.591	-0.684
logL	-0.378	-0.346	1	0.685	0.777	0.679	0.019	0.519	0.227
logwb	-0.712	-0.372	0.685	1	0.945	0.695	0.253	0.662	0.432
logwbr	-0.679	-0.438	0.777	0.945	1	0.777	0.192	0.624	0.377
logtg	-0.601	-0.646	0.679	0.695	0.777	1	0.148	0.58	0.353
P	-0.369	-0.534	0.019	0.253	0.192	0.148	1	0.68	0.93
S	-0.58	-0.591	0.519	0.662	0.624	0.58	0.68	1	0.819
D	-0.542	-0.684	0.227	0.432	0.377	0.353	0.93	0.819	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
SWS;logPS	0.5815	0.5918	0.4165
p-value	(1e-04)	(1e-04)	(2e-04)
SWS;logL	-0.3778	-0.4282	-0.2999
p-value	(0.0177)	(0.0065)	(0.0077)
SWS;logwb	-0.7116	-0.6585	-0.4813
p-value	(0)	(0)	(0)
SWS;logwbr	-0.6791	-0.6599	-0.4922
p-value	(0)	(0)	(0)
SWS;logtg	-0.6014	-0.6623	-0.485
p-value	(1e-04)	(0)	(0)
SWS;P	-0.3689	-0.3119	-0.2421
p-value	(0.0208)	(0.0533)	(0.0458)
SWS;S	-0.5795	-0.5491	-0.4299
p-value	(1e-04)	(3e-04)	(5e-04)
SWS;D	-0.5422	-0.4905	-0.3888
p-value	(4e-04)	(0.0015)	(0.0014)
logPS;logL	-0.3459	-0.3893	-0.2373
p-value	(0.031)	(0.0143)	(0.036)
logPS;logwb	-0.3718	-0.4395	-0.2777
p-value	(0.0198)	(0.0051)	(0.0139)
logPS;logwbr	-0.4378	-0.5242	-0.3242
p-value	(0.0053)	(6e-04)	(0.0041)
logPS;logtg	-0.6455	-0.6521	-0.4606
p-value	(0)	(0)	(0)
logPS;P	-0.5341	-0.5339	-0.3919
p-value	(5e-04)	(5e-04)	(0.0013)
logPS;S	-0.5914	-0.6156	-0.4706
p-value	(1e-04)	(0)	(1e-04)
logPS;D	-0.6844	-0.6808	-0.5266
p-value	(0)	(0)	(0)
logL;logwb	0.6849	0.7063	0.5251
p-value	(0)	(0)	(0)
logL;logwbr	0.7766	0.8033	0.6499
p-value	(0)	(0)	(0)
logL;logtg	0.6793	0.7115	0.533
p-value	(0)	(0)	(0)
logL;P	0.0194	0.0122	-0.006
p-value	(0.9066)	(0.9412)	(0.9604)
logL;S	0.5187	0.5242	0.4101
p-value	(7e-04)	(6e-04)	(9e-04)
logL;D	0.2274	0.2072	0.1615
p-value	(0.1639)	(0.2057)	(0.1831)
logwb;logwbr	0.9445	0.9284	0.7916
p-value	(0)	(0)	(0)
logwb;logtg	0.6949	0.7095	0.5207
p-value	(0)	(0)	(0)
logwb;P	0.2529	0.2147	0.1602
p-value	(0.1204)	(0.1893)	(0.1846)
logwb;S	0.6624	0.5954	0.4811
p-value	(0)	(1e-04)	(1e-04)
logwb;D	0.4321	0.3615	0.274
p-value	(0.006)	(0.0238)	(0.0236)
logwbr;logtg	0.7775	0.8082	0.5993
p-value	(0)	(0)	(0)
logwbr;P	0.1917	0.1675	0.1257
p-value	(0.2424)	(0.3082)	(0.2976)
logwbr;S	0.6236	0.5976	0.4905
p-value	(0)	(1e-04)	(1e-04)
logwbr;D	0.3768	0.3414	0.2695
p-value	(0.018)	(0.0334)	(0.026)
logtg;P	0.1481	0.1162	0.075
p-value	(0.3683)	(0.4813)	(0.5352)
logtg;S	0.5801	0.5771	0.4617
p-value	(1e-04)	(1e-04)	(2e-04)
logtg;D	0.3534	0.3115	0.2293
p-value	(0.0273)	(0.0535)	(0.0586)
P;S	0.68	0.6186	0.5218
p-value	(0)	(0)	(1e-04)
P;D	0.9303	0.9328	0.876
p-value	(0)	(0)	(0)
S;D	0.8192	0.7533	0.6591
p-value	(0)	(0)	(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
SWS;logPS & 0.5815 & 0.5918 & 0.4165 \tabularnewline
p-value & (1e-04) & (1e-04) & (2e-04) \tabularnewline
SWS;logL & -0.3778 & -0.4282 & -0.2999 \tabularnewline
p-value & (0.0177) & (0.0065) & (0.0077) \tabularnewline
SWS;logwb & -0.7116 & -0.6585 & -0.4813 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;logwbr & -0.6791 & -0.6599 & -0.4922 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;logtg & -0.6014 & -0.6623 & -0.485 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
SWS;P & -0.3689 & -0.3119 & -0.2421 \tabularnewline
p-value & (0.0208) & (0.0533) & (0.0458) \tabularnewline
SWS;S & -0.5795 & -0.5491 & -0.4299 \tabularnewline
p-value & (1e-04) & (3e-04) & (5e-04) \tabularnewline
SWS;D & -0.5422 & -0.4905 & -0.3888 \tabularnewline
p-value & (4e-04) & (0.0015) & (0.0014) \tabularnewline
logPS;logL & -0.3459 & -0.3893 & -0.2373 \tabularnewline
p-value & (0.031) & (0.0143) & (0.036) \tabularnewline
logPS;logwb & -0.3718 & -0.4395 & -0.2777 \tabularnewline
p-value & (0.0198) & (0.0051) & (0.0139) \tabularnewline
logPS;logwbr & -0.4378 & -0.5242 & -0.3242 \tabularnewline
p-value & (0.0053) & (6e-04) & (0.0041) \tabularnewline
logPS;logtg & -0.6455 & -0.6521 & -0.4606 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logPS;P & -0.5341 & -0.5339 & -0.3919 \tabularnewline
p-value & (5e-04) & (5e-04) & (0.0013) \tabularnewline
logPS;S & -0.5914 & -0.6156 & -0.4706 \tabularnewline
p-value & (1e-04) & (0) & (1e-04) \tabularnewline
logPS;D & -0.6844 & -0.6808 & -0.5266 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logwb & 0.6849 & 0.7063 & 0.5251 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logwbr & 0.7766 & 0.8033 & 0.6499 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logtg & 0.6793 & 0.7115 & 0.533 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;P & 0.0194 & 0.0122 & -0.006 \tabularnewline
p-value & (0.9066) & (0.9412) & (0.9604) \tabularnewline
logL;S & 0.5187 & 0.5242 & 0.4101 \tabularnewline
p-value & (7e-04) & (6e-04) & (9e-04) \tabularnewline
logL;D & 0.2274 & 0.2072 & 0.1615 \tabularnewline
p-value & (0.1639) & (0.2057) & (0.1831) \tabularnewline
logwb;logwbr & 0.9445 & 0.9284 & 0.7916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logwb;logtg & 0.6949 & 0.7095 & 0.5207 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logwb;P & 0.2529 & 0.2147 & 0.1602 \tabularnewline
p-value & (0.1204) & (0.1893) & (0.1846) \tabularnewline
logwb;S & 0.6624 & 0.5954 & 0.4811 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
logwb;D & 0.4321 & 0.3615 & 0.274 \tabularnewline
p-value & (0.006) & (0.0238) & (0.0236) \tabularnewline
logwbr;logtg & 0.7775 & 0.8082 & 0.5993 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logwbr;P & 0.1917 & 0.1675 & 0.1257 \tabularnewline
p-value & (0.2424) & (0.3082) & (0.2976) \tabularnewline
logwbr;S & 0.6236 & 0.5976 & 0.4905 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
logwbr;D & 0.3768 & 0.3414 & 0.2695 \tabularnewline
p-value & (0.018) & (0.0334) & (0.026) \tabularnewline
logtg;P & 0.1481 & 0.1162 & 0.075 \tabularnewline
p-value & (0.3683) & (0.4813) & (0.5352) \tabularnewline
logtg;S & 0.5801 & 0.5771 & 0.4617 \tabularnewline
p-value & (1e-04) & (1e-04) & (2e-04) \tabularnewline
logtg;D & 0.3534 & 0.3115 & 0.2293 \tabularnewline
p-value & (0.0273) & (0.0535) & (0.0586) \tabularnewline
P;S & 0.68 & 0.6186 & 0.5218 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
P;D & 0.9303 & 0.9328 & 0.876 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
S;D & 0.8192 & 0.7533 & 0.6591 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109948&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]SWS;logPS[/C][C]0.5815[/C][C]0.5918[/C][C]0.4165[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SWS;logL[/C][C]-0.3778[/C][C]-0.4282[/C][C]-0.2999[/C][/ROW]
[ROW][C]p-value[/C][C](0.0177)[/C][C](0.0065)[/C][C](0.0077)[/C][/ROW]
[ROW][C]SWS;logwb[/C][C]-0.7116[/C][C]-0.6585[/C][C]-0.4813[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;logwbr[/C][C]-0.6791[/C][C]-0.6599[/C][C]-0.4922[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;logtg[/C][C]-0.6014[/C][C]-0.6623[/C][C]-0.485[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.3689[/C][C]-0.3119[/C][C]-0.2421[/C][/ROW]
[ROW][C]p-value[/C][C](0.0208)[/C][C](0.0533)[/C][C](0.0458)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.5795[/C][C]-0.5491[/C][C]-0.4299[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](3e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]SWS;D[/C][C]-0.5422[/C][C]-0.4905[/C][C]-0.3888[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0.0015)[/C][C](0.0014)[/C][/ROW]
[ROW][C]logPS;logL[/C][C]-0.3459[/C][C]-0.3893[/C][C]-0.2373[/C][/ROW]
[ROW][C]p-value[/C][C](0.031)[/C][C](0.0143)[/C][C](0.036)[/C][/ROW]
[ROW][C]logPS;logwb[/C][C]-0.3718[/C][C]-0.4395[/C][C]-0.2777[/C][/ROW]
[ROW][C]p-value[/C][C](0.0198)[/C][C](0.0051)[/C][C](0.0139)[/C][/ROW]
[ROW][C]logPS;logwbr[/C][C]-0.4378[/C][C]-0.5242[/C][C]-0.3242[/C][/ROW]
[ROW][C]p-value[/C][C](0.0053)[/C][C](6e-04)[/C][C](0.0041)[/C][/ROW]
[ROW][C]logPS;logtg[/C][C]-0.6455[/C][C]-0.6521[/C][C]-0.4606[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logPS;P[/C][C]-0.5341[/C][C]-0.5339[/C][C]-0.3919[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](5e-04)[/C][C](0.0013)[/C][/ROW]
[ROW][C]logPS;S[/C][C]-0.5914[/C][C]-0.6156[/C][C]-0.4706[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]logPS;D[/C][C]-0.6844[/C][C]-0.6808[/C][C]-0.5266[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logL;logwb[/C][C]0.6849[/C][C]0.7063[/C][C]0.5251[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logL;logwbr[/C][C]0.7766[/C][C]0.8033[/C][C]0.6499[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logL;logtg[/C][C]0.6793[/C][C]0.7115[/C][C]0.533[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logL;P[/C][C]0.0194[/C][C]0.0122[/C][C]-0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.9066)[/C][C](0.9412)[/C][C](0.9604)[/C][/ROW]
[ROW][C]logL;S[/C][C]0.5187[/C][C]0.5242[/C][C]0.4101[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](6e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]logL;D[/C][C]0.2274[/C][C]0.2072[/C][C]0.1615[/C][/ROW]
[ROW][C]p-value[/C][C](0.1639)[/C][C](0.2057)[/C][C](0.1831)[/C][/ROW]
[ROW][C]logwb;logwbr[/C][C]0.9445[/C][C]0.9284[/C][C]0.7916[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logwb;logtg[/C][C]0.6949[/C][C]0.7095[/C][C]0.5207[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logwb;P[/C][C]0.2529[/C][C]0.2147[/C][C]0.1602[/C][/ROW]
[ROW][C]p-value[/C][C](0.1204)[/C][C](0.1893)[/C][C](0.1846)[/C][/ROW]
[ROW][C]logwb;S[/C][C]0.6624[/C][C]0.5954[/C][C]0.4811[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]logwb;D[/C][C]0.4321[/C][C]0.3615[/C][C]0.274[/C][/ROW]
[ROW][C]p-value[/C][C](0.006)[/C][C](0.0238)[/C][C](0.0236)[/C][/ROW]
[ROW][C]logwbr;logtg[/C][C]0.7775[/C][C]0.8082[/C][C]0.5993[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logwbr;P[/C][C]0.1917[/C][C]0.1675[/C][C]0.1257[/C][/ROW]
[ROW][C]p-value[/C][C](0.2424)[/C][C](0.3082)[/C][C](0.2976)[/C][/ROW]
[ROW][C]logwbr;S[/C][C]0.6236[/C][C]0.5976[/C][C]0.4905[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]logwbr;D[/C][C]0.3768[/C][C]0.3414[/C][C]0.2695[/C][/ROW]
[ROW][C]p-value[/C][C](0.018)[/C][C](0.0334)[/C][C](0.026)[/C][/ROW]
[ROW][C]logtg;P[/C][C]0.1481[/C][C]0.1162[/C][C]0.075[/C][/ROW]
[ROW][C]p-value[/C][C](0.3683)[/C][C](0.4813)[/C][C](0.5352)[/C][/ROW]
[ROW][C]logtg;S[/C][C]0.5801[/C][C]0.5771[/C][C]0.4617[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]logtg;D[/C][C]0.3534[/C][C]0.3115[/C][C]0.2293[/C][/ROW]
[ROW][C]p-value[/C][C](0.0273)[/C][C](0.0535)[/C][C](0.0586)[/C][/ROW]
[ROW][C]P;S[/C][C]0.68[/C][C]0.6186[/C][C]0.5218[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]P;D[/C][C]0.9303[/C][C]0.9328[/C][C]0.876[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]S;D[/C][C]0.8192[/C][C]0.7533[/C][C]0.6591[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109948&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109948&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
SWS;logPS	0.5815	0.5918	0.4165
p-value	(1e-04)	(1e-04)	(2e-04)
SWS;logL	-0.3778	-0.4282	-0.2999
p-value	(0.0177)	(0.0065)	(0.0077)
SWS;logwb	-0.7116	-0.6585	-0.4813
p-value	(0)	(0)	(0)
SWS;logwbr	-0.6791	-0.6599	-0.4922
p-value	(0)	(0)	(0)
SWS;logtg	-0.6014	-0.6623	-0.485
p-value	(1e-04)	(0)	(0)
SWS;P	-0.3689	-0.3119	-0.2421
p-value	(0.0208)	(0.0533)	(0.0458)
SWS;S	-0.5795	-0.5491	-0.4299
p-value	(1e-04)	(3e-04)	(5e-04)
SWS;D	-0.5422	-0.4905	-0.3888
p-value	(4e-04)	(0.0015)	(0.0014)
logPS;logL	-0.3459	-0.3893	-0.2373
p-value	(0.031)	(0.0143)	(0.036)
logPS;logwb	-0.3718	-0.4395	-0.2777
p-value	(0.0198)	(0.0051)	(0.0139)
logPS;logwbr	-0.4378	-0.5242	-0.3242
p-value	(0.0053)	(6e-04)	(0.0041)
logPS;logtg	-0.6455	-0.6521	-0.4606
p-value	(0)	(0)	(0)
logPS;P	-0.5341	-0.5339	-0.3919
p-value	(5e-04)	(5e-04)	(0.0013)
logPS;S	-0.5914	-0.6156	-0.4706
p-value	(1e-04)	(0)	(1e-04)
logPS;D	-0.6844	-0.6808	-0.5266
p-value	(0)	(0)	(0)
logL;logwb	0.6849	0.7063	0.5251
p-value	(0)	(0)	(0)
logL;logwbr	0.7766	0.8033	0.6499
p-value	(0)	(0)	(0)
logL;logtg	0.6793	0.7115	0.533
p-value	(0)	(0)	(0)
logL;P	0.0194	0.0122	-0.006
p-value	(0.9066)	(0.9412)	(0.9604)
logL;S	0.5187	0.5242	0.4101
p-value	(7e-04)	(6e-04)	(9e-04)
logL;D	0.2274	0.2072	0.1615
p-value	(0.1639)	(0.2057)	(0.1831)
logwb;logwbr	0.9445	0.9284	0.7916
p-value	(0)	(0)	(0)
logwb;logtg	0.6949	0.7095	0.5207
p-value	(0)	(0)	(0)
logwb;P	0.2529	0.2147	0.1602
p-value	(0.1204)	(0.1893)	(0.1846)
logwb;S	0.6624	0.5954	0.4811
p-value	(0)	(1e-04)	(1e-04)
logwb;D	0.4321	0.3615	0.274
p-value	(0.006)	(0.0238)	(0.0236)
logwbr;logtg	0.7775	0.8082	0.5993
p-value	(0)	(0)	(0)
logwbr;P	0.1917	0.1675	0.1257
p-value	(0.2424)	(0.3082)	(0.2976)
logwbr;S	0.6236	0.5976	0.4905
p-value	(0)	(1e-04)	(1e-04)
logwbr;D	0.3768	0.3414	0.2695
p-value	(0.018)	(0.0334)	(0.026)
logtg;P	0.1481	0.1162	0.075
p-value	(0.3683)	(0.4813)	(0.5352)
logtg;S	0.5801	0.5771	0.4617
p-value	(1e-04)	(1e-04)	(2e-04)
logtg;D	0.3534	0.3115	0.2293
p-value	(0.0273)	(0.0535)	(0.0586)
P;S	0.68	0.6186	0.5218
p-value	(0)	(0)	(1e-04)
P;D	0.9303	0.9328	0.876
p-value	(0)	(0)	(0)
S;D	0.8192	0.7533	0.6591
p-value	(0)	(0)	(0)

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