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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Mon, 13 Dec 2010 20:11:47 +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/13/t1292271095w8jz9wp1bkqp4l8.htm/, Retrieved Mon, 06 May 2024 22:55:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109151, Retrieved Mon, 06 May 2024 22:55:04 +0000

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-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [Experiment Pearso...] [2010-12-11 13:33:22] [49c7a512c56172bc46ae7e93e5b58c1c]
-    D      [Kendall tau Correlation Matrix] [Experiment Pearso...] [2010-12-13 20:11:47] [628a2d48b4bd249e4129ba023c5511b0] [Current]

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6,30000000	0,30103000	0,65321251	0,00000000	0,81954394	1,62324929	3	1	3
2,10000000	0,25527251	1,83884909	3,40602894	3,66304097	2,79518459	3	5	4
9,10000000	-0,15490196	1,43136376	1,02325246	2,25406445	2,25527251	4	4	4
15,80000000	0,59106461	1,27875360	-1,63827216	-0,52287875	1,54406804	1	1	1
5,20000000	0,00000000	1,48287358	2,20411998	2,22788670	2,59328607	4	5	4
10,90000000	0,55630250	1,44715803	0,51851394	1,40823997	1,79934055	1	2	1
8,30000000	0,14612804	1,69897000	1,71733758	2,64345268	2,36172784	1	1	1
11,00000000	0,17609126	0,84509804	-0,37161107	0,80617997	2,04921802	5	4	4
3,20000000	-0,15490196	1,47712125	2,66745295	2,62634037	2,44870632	5	5	5
6,30000000	0,32221929	0,54406804	-1,12493874	0,07918125	1,62324929	1	1	1
6,60000000	0,61278386	0,77815125	-0,10513034	0,54406804	1,62324929	2	2	2
9,50000000	0,07918125	1,01703334	-0,69897000	0,69897000	2,07918125	2	2	2
3,30000000	-0,30103000	1,30103000	1,44185218	2,06069784	2,17026172	5	5	5
11,00000000	0,53147892	0,59106461	-0,92081875	0,00000000	1,20411998	3	1	2
4,70000000	0,17609126	1,61278386	1,92941893	2,51188336	2,49136169	1	3	1
10,40000000	0,53147892	0,95424251	-0,99567863	0,60205999	1,44715803	5	1	3
7,40000000	-0,09691001	0,88081359	0,01703334	0,74036269	1,83250891	5	3	4
2,10000000	-0,09691001	1,66275783	2,71683772	2,81624130	2,52633928	5	5	5
17,90000000	0,30103000	1,38021124	-2,00000000	-0,60205999	1,69897000	1	1	1
6,10000000	0,27875360	2,00000000	1,79239169	3,12057393	2,42651126	1	1	1
11,90000000	0,11394335	0,50514998	-1,63827216	-0,39794001	1,27875360	4	1	3
13,80000000	0,74818803	0,69897000	0,23044892	0,79934055	1,07918125	2	1	1
14,30000000	0,49136169	0,81291336	0,54406804	1,03342376	2,07918125	2	1	1
15,20000000	0,25527251	1,07918125	-0,31875876	1,19033170	2,14612804	2	2	2
10,00000000	-0,04575749	1,30535137	1,00000000	2,06069784	2,23044892	4	4	4
11,90000000	0,25527251	1,11394335	0,20951501	1,05690485	1,23044892	2	1	2
6,50000000	0,27875360	1,43136376	2,28330123	2,25527251	2,06069784	4	4	4
7,50000000	-0,04575749	1,25527251	0,39794001	1,08278537	1,49136169	5	5	5
10,60000000	0,41497335	0,67209786	-0,55284197	0,27875360	1,32221929	3	1	3
7,40000000	0,38021124	0,99122608	0,62685341	1,70243054	1,71600334	1	1	1
8,40000000	0,07918125	1,46239800	0,83250891	2,25285303	2,21484385	2	3	2
5,70000000	-0,04575749	0,84509804	-0,12493874	1,08990511	2,35218252	2	2	2
4,90000000	-0,30103000	0,77815125	0,55630250	1,32221929	2,35218252	3	2	3
3,20000000	-0,22184875	1,30103000	1,74429298	2,24303805	2,17897695	5	5	5
11,00000000	0,36172784	0,65321251	-0,04575749	0,41497335	1,77815125	2	1	2
4,90000000	-0,30103000	0,87506126	0,30103000	1,08990511	2,30103000	3	1	3
13,20000000	0,41497335	0,36172784	-0,98296666	0,39794001	1,66275783	3	2	2
9,70000000	-0,22184875	1,38021124	0,62221402	1,76342799	2,32221929	4	3	4
12,80000000	0,81954394	0,47712125	0,54406804	0,59106461	1,14612804	2	1	1

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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109151&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109151&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109151&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Correlations for all pairs of data series (method=pearson)
	SWS	LogPS	LogL	LogWb	LogWbr	LogTg	P	S	D
SWS	1	0.582	-0.378	-0.712	-0.679	-0.601	-0.369	-0.58	-0.542
LogPS	0.582	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 & 0.582 & -0.378 & -0.712 & -0.679 & -0.601 & -0.369 & -0.58 & -0.542 \tabularnewline
LogPS & 0.582 & 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=109151&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]0.582[/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]0.582[/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=109151&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109151&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	0.582	-0.378	-0.712	-0.679	-0.601	-0.369	-0.58	-0.542
LogPS	0.582	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	0.5816	0.5918	0.4165
p-value	(1e-04)	(1e-04)	(2e-04)
SWS;LogL	-0.3777	-0.4282	-0.2999
p-value	(0.0178)	(0.0065)	(0.0077)
SWS;LogWb	-0.7116	-0.6585	-0.4813
p-value	(0)	(0)	(0)
SWS;LogWbr	-0.679	-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	-0.3719	-0.4395	-0.2777
p-value	(0.0197)	(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	0.6848	0.7063	0.5251
p-value	(0)	(0)	(0)
LogL;LogWbr	0.7766	0.8033	0.6499
p-value	(0)	(0)	(0)
LogL;LogTg	0.6792	0.7115	0.533
p-value	(0)	(0)	(0)
LogL;P	0.0195	0.0122	-0.006
p-value	(0.9064)	(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	(0.1638)	(0.2057)	(0.1831)
LogWb;LogWbr	0.9446	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	(0.0181)	(0.0334)	(0.026)
LogTg;P	0.1481	0.1162	0.075
p-value	(0.3682)	(0.4813)	(0.5352)
LogTg;S	0.5802	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 & 0.5816 & 0.5918 & 0.4165 \tabularnewline
p-value & (1e-04) & (1e-04) & (2e-04) \tabularnewline
SWS;LogL & -0.3777 & -0.4282 & -0.2999 \tabularnewline
p-value & (0.0178) & (0.0065) & (0.0077) \tabularnewline
SWS;LogWb & -0.7116 & -0.6585 & -0.4813 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;LogWbr & -0.679 & -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 & -0.3719 & -0.4395 & -0.2777 \tabularnewline
p-value & (0.0197) & (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 & 0.6848 & 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 & 0.6792 & 0.7115 & 0.533 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LogL;P & 0.0195 & 0.0122 & -0.006 \tabularnewline
p-value & (0.9064) & (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 & (0.1638) & (0.2057) & (0.1831) \tabularnewline
LogWb;LogWbr & 0.9446 & 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 & (0.0181) & (0.0334) & (0.026) \tabularnewline
LogTg;P & 0.1481 & 0.1162 & 0.075 \tabularnewline
p-value & (0.3682) & (0.4813) & (0.5352) \tabularnewline
LogTg;S & 0.5802 & 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=109151&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]0.5816[/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]-0.3777[/C][C]-0.4282[/C][C]-0.2999[/C][/ROW]
[ROW][C]p-value[/C][C](0.0178)[/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]-0.679[/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]-0.3719[/C][C]-0.4395[/C][C]-0.2777[/C][/ROW]
[ROW][C]p-value[/C][C](0.0197)[/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]0.6848[/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]0.6792[/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]0.0195[/C][C]0.0122[/C][C]-0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.9064)[/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](0.1638)[/C][C](0.2057)[/C][C](0.1831)[/C][/ROW]
[ROW][C]LogWb;LogWbr[/C][C]0.9446[/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](0.0181)[/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](0.3682)[/C][C](0.4813)[/C][C](0.5352)[/C][/ROW]
[ROW][C]LogTg;S[/C][C]0.5802[/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=109151&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109151&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	0.5816	0.5918	0.4165
p-value	(1e-04)	(1e-04)	(2e-04)
SWS;LogL	-0.3777	-0.4282	-0.2999
p-value	(0.0178)	(0.0065)	(0.0077)
SWS;LogWb	-0.7116	-0.6585	-0.4813
p-value	(0)	(0)	(0)
SWS;LogWbr	-0.679	-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	-0.3719	-0.4395	-0.2777
p-value	(0.0197)	(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	0.6848	0.7063	0.5251
p-value	(0)	(0)	(0)
LogL;LogWbr	0.7766	0.8033	0.6499
p-value	(0)	(0)	(0)
LogL;LogTg	0.6792	0.7115	0.533
p-value	(0)	(0)	(0)
LogL;P	0.0195	0.0122	-0.006
p-value	(0.9064)	(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	(0.1638)	(0.2057)	(0.1831)
LogWb;LogWbr	0.9446	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	(0.0181)	(0.0334)	(0.026)
LogTg;P	0.1481	0.1162	0.075
p-value	(0.3682)	(0.4813)	(0.5352)
LogTg;S	0.5802	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