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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Sat, 11 Dec 2010 13:33:22 +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/11/t1292074958f25pym222yu4cmx.htm/, Retrieved Mon, 06 May 2024 13:27:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108153, Retrieved Mon, 06 May 2024 13:27:50 +0000

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125

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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] [628a2d48b4bd249e4129ba023c5511b0] [Current]
-    D      [Kendall tau Correlation Matrix] [Experiment Pearso...] [2010-12-13 20:11:47] [49c7a512c56172bc46ae7e93e5b58c1c] 

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Dataseries X:

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6.3	2.0	4.5	1000,00	6600,00	42.0	3,00	1,00	3,00
2.1	1.8	69.0	2547000,00	4603000,00	624.0	3,00	5,00	4,00
9.1	0.7	27.0	10550,00	179500,00	180.0	4,00	4,00	4,00
15.8	3.9	19.0	0.023	0.300	35.0	1,00	1,00	1,00
5.2	1.0	30.4	160000,00	169000,00	392.0	4,00	5,00	4,00
10.9	3.6	28.0	3300,00	25600,00	63.0	1,00	2,00	1,00
8.3	1.4	50.0	52160,00	440000,00	230.0	1,00	1,00	1,00
11.0	1.5	7.0	0.425	6400,00	112.0	5,00	4,00	4,00
3.2	0.7	30.0	465000,00	423000,00	281.0	5,00	5,00	5,00
6.3	2.1	3.5	0.075	1200,00	42.0	1,00	1,00	1,00
6.6	4.1	6.0	0.785	3500,00	42.0	2,00	2,00	2,00
9.5	1.2	10.4	0.200	5000,00	120.0	2,00	2,00	2,00
3.3	0.5	20.0	27660,00	115000,00	148.0	5,00	5,00	5,00
11.0	3.4	3.9	0.120	1000,00	16.0	3,00	1,00	2,00
4.7	1.5	41.0	85000,00	325000,00	310.0	1,00	3,00	1,00
10.4	3.4	9.0	0.101	4000,00	28.0	5,00	1,00	3,00
7.4	0.8	7.6	1040,00	5500,00	68.0	5,00	3,00	4,00
2.1	0.8	46.0	521000,00	655000,00	336.0	5,00	5,00	5,00
17.9	2.0	24.0	0.010	0.250	50.0	1,00	1,00	1,00
6.1	1.9	100.0	62000,00	1320000,00	267.0	1,00	1,00	1,00
11.9	1.3	3.2	.023	0.400	19.0	4,00	1,00	3,00
13.8	5.6	5.0	1700,00	6300,00	12.0	2,00	1,00	1,00
14.3	3.1	6.5	3500,00	10800,00	120.0	2,00	1,00	1,00
15.2	1.8	12.0	0.480	15500,00	140.0	2,00	2,00	2,00
10.0	0.9	20.2	10000,00	115000,00	170.0	4,00	4,00	4,00
11.9	1.8	13.0	1620,00	11400,00	17.0	2,00	1,00	2,00
6.5	1.9	27.0	192000,00	180000,00	115.0	4,00	4,00	4,00
7.5	0.9	18.0	2500,00	12100,00	31.0	5,00	5,00	5,00
10.6	2.6	4.7	0.280	1900,00	21.0	3,00	1,00	3,00
7.4	2.4	9.8	4235,00	50400,00	52.0	1,00	1,00	1,00
8.4	1.2	29.0	6800,00	179000,00	164.0	2,00	3,00	2,00
5.7	0.9	7.0	0.750	12300,00	225.0	2,00	2,00	2,00
4.9	0.5	6.0	3600,00	21000,00	225.0	3,00	2,00	3,00
3.2	0.6	20.0	55500,00	175000,00	151.0	5,00	5,00	5,00
11.0	2.3	4.5	0.900	2600,00	60.0	2,00	1,00	2,00
4.9	0.5	7.5	2000,00	12300,00	200.0	3,00	1,00	3,00
13.2	2.6	2.3	0.104	2500,00	46.0	3,00	2,00	2,00
9.7	0.6	24.0	4190,00	58000,00	210.0	4,00	3,00	4,00
12.8	6.6	3.0	3500,00	3900,00	14.0	2,00	1,00	1,00

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	'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108153&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108153&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108153&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	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=pearson)
	SWS	PS	L	Wb	Wbr	Tg	P	S	D
SWS	1	0.53	-0.385	-0.395	-0.388	-0.621	-0.369	-0.58	-0.542
PS	0.53	1	-0.241	-0.088	-0.089	-0.468	-0.434	-0.533	-0.604
L	-0.385	-0.241	1	0.492	0.659	0.691	-0.111	0.319	0.06
Wb	-0.395	-0.088	0.492	1	0.956	0.719	0.11	0.402	0.268
Wbr	-0.388	-0.089	0.659	0.956	1	0.737	-0.003	0.318	0.159
Tg	-0.621	-0.468	0.691	0.719	0.737	1	0.132	0.566	0.335
P	-0.369	-0.434	-0.111	0.11	-0.003	0.132	1	0.68	0.93
S	-0.58	-0.533	0.319	0.402	0.318	0.566	0.68	1	0.819
D	-0.542	-0.604	0.06	0.268	0.159	0.335	0.93	0.819	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & SWS & PS & L & Wb & Wbr & Tg & P & S & D \tabularnewline
SWS & 1 & 0.53 & -0.385 & -0.395 & -0.388 & -0.621 & -0.369 & -0.58 & -0.542 \tabularnewline
PS & 0.53 & 1 & -0.241 & -0.088 & -0.089 & -0.468 & -0.434 & -0.533 & -0.604 \tabularnewline
L & -0.385 & -0.241 & 1 & 0.492 & 0.659 & 0.691 & -0.111 & 0.319 & 0.06 \tabularnewline
Wb & -0.395 & -0.088 & 0.492 & 1 & 0.956 & 0.719 & 0.11 & 0.402 & 0.268 \tabularnewline
Wbr & -0.388 & -0.089 & 0.659 & 0.956 & 1 & 0.737 & -0.003 & 0.318 & 0.159 \tabularnewline
Tg & -0.621 & -0.468 & 0.691 & 0.719 & 0.737 & 1 & 0.132 & 0.566 & 0.335 \tabularnewline
P & -0.369 & -0.434 & -0.111 & 0.11 & -0.003 & 0.132 & 1 & 0.68 & 0.93 \tabularnewline
S & -0.58 & -0.533 & 0.319 & 0.402 & 0.318 & 0.566 & 0.68 & 1 & 0.819 \tabularnewline
D & -0.542 & -0.604 & 0.06 & 0.268 & 0.159 & 0.335 & 0.93 & 0.819 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108153&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]SWS[/C][C]PS[/C][C]L[/C][C]Wb[/C][C]Wbr[/C][C]Tg[/C][C]P[/C][C]S[/C][C]D[/C][/ROW]
[ROW][C]SWS[/C][C]1[/C][C]0.53[/C][C]-0.385[/C][C]-0.395[/C][C]-0.388[/C][C]-0.621[/C][C]-0.369[/C][C]-0.58[/C][C]-0.542[/C][/ROW]
[ROW][C]PS[/C][C]0.53[/C][C]1[/C][C]-0.241[/C][C]-0.088[/C][C]-0.089[/C][C]-0.468[/C][C]-0.434[/C][C]-0.533[/C][C]-0.604[/C][/ROW]
[ROW][C]L[/C][C]-0.385[/C][C]-0.241[/C][C]1[/C][C]0.492[/C][C]0.659[/C][C]0.691[/C][C]-0.111[/C][C]0.319[/C][C]0.06[/C][/ROW]
[ROW][C]Wb[/C][C]-0.395[/C][C]-0.088[/C][C]0.492[/C][C]1[/C][C]0.956[/C][C]0.719[/C][C]0.11[/C][C]0.402[/C][C]0.268[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.388[/C][C]-0.089[/C][C]0.659[/C][C]0.956[/C][C]1[/C][C]0.737[/C][C]-0.003[/C][C]0.318[/C][C]0.159[/C][/ROW]
[ROW][C]Tg[/C][C]-0.621[/C][C]-0.468[/C][C]0.691[/C][C]0.719[/C][C]0.737[/C][C]1[/C][C]0.132[/C][C]0.566[/C][C]0.335[/C][/ROW]
[ROW][C]P[/C][C]-0.369[/C][C]-0.434[/C][C]-0.111[/C][C]0.11[/C][C]-0.003[/C][C]0.132[/C][C]1[/C][C]0.68[/C][C]0.93[/C][/ROW]
[ROW][C]S[/C][C]-0.58[/C][C]-0.533[/C][C]0.319[/C][C]0.402[/C][C]0.318[/C][C]0.566[/C][C]0.68[/C][C]1[/C][C]0.819[/C][/ROW]
[ROW][C]D[/C][C]-0.542[/C][C]-0.604[/C][C]0.06[/C][C]0.268[/C][C]0.159[/C][C]0.335[/C][C]0.93[/C][C]0.819[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108153&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108153&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	PS	L	Wb	Wbr	Tg	P	S	D
SWS	1	0.53	-0.385	-0.395	-0.388	-0.621	-0.369	-0.58	-0.542
PS	0.53	1	-0.241	-0.088	-0.089	-0.468	-0.434	-0.533	-0.604
L	-0.385	-0.241	1	0.492	0.659	0.691	-0.111	0.319	0.06
Wb	-0.395	-0.088	0.492	1	0.956	0.719	0.11	0.402	0.268
Wbr	-0.388	-0.089	0.659	0.956	1	0.737	-0.003	0.318	0.159
Tg	-0.621	-0.468	0.691	0.719	0.737	1	0.132	0.566	0.335
P	-0.369	-0.434	-0.111	0.11	-0.003	0.132	1	0.68	0.93
S	-0.58	-0.533	0.319	0.402	0.318	0.566	0.68	1	0.819
D	-0.542	-0.604	0.06	0.268	0.159	0.335	0.93	0.819	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
SWS;PS	0.5298	0.5918	0.4165
p-value	(5e-04)	(1e-04)	(2e-04)
SWS;L	-0.3845	-0.4282	-0.2999
p-value	(0.0156)	(0.0065)	(0.0077)
SWS;Wb	-0.3949	-0.6585	-0.4813
p-value	(0.0129)	(0)	(0)
SWS;Wbr	-0.388	-0.6599	-0.4922
p-value	(0.0147)	(0)	(0)
SWS;Tg	-0.6208	-0.6623	-0.485
p-value	(0)	(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)
PS;L	-0.2409	-0.3893	-0.2373
p-value	(0.1396)	(0.0143)	(0.036)
PS;Wb	-0.0881	-0.4395	-0.2777
p-value	(0.594)	(0.0051)	(0.0139)
PS;Wbr	-0.0886	-0.5242	-0.3242
p-value	(0.5915)	(6e-04)	(0.0041)
PS;Tg	-0.4681	-0.6521	-0.4606
p-value	(0.0027)	(0)	(0)
PS;P	-0.4342	-0.5339	-0.3919
p-value	(0.0057)	(5e-04)	(0.0013)
PS;S	-0.533	-0.6156	-0.4706
p-value	(5e-04)	(0)	(1e-04)
PS;D	-0.6041	-0.6808	-0.5266
p-value	(0)	(0)	(0)
L;Wb	0.4925	0.7063	0.5251
p-value	(0.0014)	(0)	(0)
L;Wbr	0.6594	0.8033	0.6499
p-value	(0)	(0)	(0)
L;Tg	0.6913	0.7115	0.533
p-value	(0)	(0)	(0)
L;P	-0.1107	0.0122	-0.006
p-value	(0.5023)	(0.9412)	(0.9604)
L;S	0.3192	0.5242	0.4101
p-value	(0.0476)	(6e-04)	(9e-04)
L;D	0.0605	0.2072	0.1615
p-value	(0.7146)	(0.2057)	(0.1831)
Wb;Wbr	0.9557	0.9284	0.7916
p-value	(0)	(0)	(0)
Wb;Tg	0.7191	0.7095	0.5207
p-value	(0)	(0)	(0)
Wb;P	0.1102	0.2147	0.1602
p-value	(0.5042)	(0.1893)	(0.1846)
Wb;S	0.4025	0.5954	0.4811
p-value	(0.0111)	(1e-04)	(1e-04)
Wb;D	0.2685	0.3615	0.274
p-value	(0.0984)	(0.0238)	(0.0236)
Wbr;Tg	0.7369	0.8082	0.5993
p-value	(0)	(0)	(0)
Wbr;P	-0.0034	0.1675	0.1257
p-value	(0.9836)	(0.3082)	(0.2976)
Wbr;S	0.3175	0.5976	0.4905
p-value	(0.0489)	(1e-04)	(1e-04)
Wbr;D	0.1595	0.3414	0.2695
p-value	(0.3322)	(0.0334)	(0.026)
Tg;P	0.1316	0.1162	0.075
p-value	(0.4247)	(0.4813)	(0.5352)
Tg;S	0.5663	0.5771	0.4617
p-value	(2e-04)	(1e-04)	(2e-04)
Tg;D	0.3349	0.3115	0.2293
p-value	(0.0371)	(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;PS & 0.5298 & 0.5918 & 0.4165 \tabularnewline
p-value & (5e-04) & (1e-04) & (2e-04) \tabularnewline
SWS;L & -0.3845 & -0.4282 & -0.2999 \tabularnewline
p-value & (0.0156) & (0.0065) & (0.0077) \tabularnewline
SWS;Wb & -0.3949 & -0.6585 & -0.4813 \tabularnewline
p-value & (0.0129) & (0) & (0) \tabularnewline
SWS;Wbr & -0.388 & -0.6599 & -0.4922 \tabularnewline
p-value & (0.0147) & (0) & (0) \tabularnewline
SWS;Tg & -0.6208 & -0.6623 & -0.485 \tabularnewline
p-value & (0) & (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
PS;L & -0.2409 & -0.3893 & -0.2373 \tabularnewline
p-value & (0.1396) & (0.0143) & (0.036) \tabularnewline
PS;Wb & -0.0881 & -0.4395 & -0.2777 \tabularnewline
p-value & (0.594) & (0.0051) & (0.0139) \tabularnewline
PS;Wbr & -0.0886 & -0.5242 & -0.3242 \tabularnewline
p-value & (0.5915) & (6e-04) & (0.0041) \tabularnewline
PS;Tg & -0.4681 & -0.6521 & -0.4606 \tabularnewline
p-value & (0.0027) & (0) & (0) \tabularnewline
PS;P & -0.4342 & -0.5339 & -0.3919 \tabularnewline
p-value & (0.0057) & (5e-04) & (0.0013) \tabularnewline
PS;S & -0.533 & -0.6156 & -0.4706 \tabularnewline
p-value & (5e-04) & (0) & (1e-04) \tabularnewline
PS;D & -0.6041 & -0.6808 & -0.5266 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Wb & 0.4925 & 0.7063 & 0.5251 \tabularnewline
p-value & (0.0014) & (0) & (0) \tabularnewline
L;Wbr & 0.6594 & 0.8033 & 0.6499 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Tg & 0.6913 & 0.7115 & 0.533 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;P & -0.1107 & 0.0122 & -0.006 \tabularnewline
p-value & (0.5023) & (0.9412) & (0.9604) \tabularnewline
L;S & 0.3192 & 0.5242 & 0.4101 \tabularnewline
p-value & (0.0476) & (6e-04) & (9e-04) \tabularnewline
L;D & 0.0605 & 0.2072 & 0.1615 \tabularnewline
p-value & (0.7146) & (0.2057) & (0.1831) \tabularnewline
Wb;Wbr & 0.9557 & 0.9284 & 0.7916 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;Tg & 0.7191 & 0.7095 & 0.5207 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;P & 0.1102 & 0.2147 & 0.1602 \tabularnewline
p-value & (0.5042) & (0.1893) & (0.1846) \tabularnewline
Wb;S & 0.4025 & 0.5954 & 0.4811 \tabularnewline
p-value & (0.0111) & (1e-04) & (1e-04) \tabularnewline
Wb;D & 0.2685 & 0.3615 & 0.274 \tabularnewline
p-value & (0.0984) & (0.0238) & (0.0236) \tabularnewline
Wbr;Tg & 0.7369 & 0.8082 & 0.5993 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wbr;P & -0.0034 & 0.1675 & 0.1257 \tabularnewline
p-value & (0.9836) & (0.3082) & (0.2976) \tabularnewline
Wbr;S & 0.3175 & 0.5976 & 0.4905 \tabularnewline
p-value & (0.0489) & (1e-04) & (1e-04) \tabularnewline
Wbr;D & 0.1595 & 0.3414 & 0.2695 \tabularnewline
p-value & (0.3322) & (0.0334) & (0.026) \tabularnewline
Tg;P & 0.1316 & 0.1162 & 0.075 \tabularnewline
p-value & (0.4247) & (0.4813) & (0.5352) \tabularnewline
Tg;S & 0.5663 & 0.5771 & 0.4617 \tabularnewline
p-value & (2e-04) & (1e-04) & (2e-04) \tabularnewline
Tg;D & 0.3349 & 0.3115 & 0.2293 \tabularnewline
p-value & (0.0371) & (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=108153&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;PS[/C][C]0.5298[/C][C]0.5918[/C][C]0.4165[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SWS;L[/C][C]-0.3845[/C][C]-0.4282[/C][C]-0.2999[/C][/ROW]
[ROW][C]p-value[/C][C](0.0156)[/C][C](0.0065)[/C][C](0.0077)[/C][/ROW]
[ROW][C]SWS;Wb[/C][C]-0.3949[/C][C]-0.6585[/C][C]-0.4813[/C][/ROW]
[ROW][C]p-value[/C][C](0.0129)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Wbr[/C][C]-0.388[/C][C]-0.6599[/C][C]-0.4922[/C][/ROW]
[ROW][C]p-value[/C][C](0.0147)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Tg[/C][C]-0.6208[/C][C]-0.6623[/C][C]-0.485[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/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]PS;L[/C][C]-0.2409[/C][C]-0.3893[/C][C]-0.2373[/C][/ROW]
[ROW][C]p-value[/C][C](0.1396)[/C][C](0.0143)[/C][C](0.036)[/C][/ROW]
[ROW][C]PS;Wb[/C][C]-0.0881[/C][C]-0.4395[/C][C]-0.2777[/C][/ROW]
[ROW][C]p-value[/C][C](0.594)[/C][C](0.0051)[/C][C](0.0139)[/C][/ROW]
[ROW][C]PS;Wbr[/C][C]-0.0886[/C][C]-0.5242[/C][C]-0.3242[/C][/ROW]
[ROW][C]p-value[/C][C](0.5915)[/C][C](6e-04)[/C][C](0.0041)[/C][/ROW]
[ROW][C]PS;Tg[/C][C]-0.4681[/C][C]-0.6521[/C][C]-0.4606[/C][/ROW]
[ROW][C]p-value[/C][C](0.0027)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;P[/C][C]-0.4342[/C][C]-0.5339[/C][C]-0.3919[/C][/ROW]
[ROW][C]p-value[/C][C](0.0057)[/C][C](5e-04)[/C][C](0.0013)[/C][/ROW]
[ROW][C]PS;S[/C][C]-0.533[/C][C]-0.6156[/C][C]-0.4706[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PS;D[/C][C]-0.6041[/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]L;Wb[/C][C]0.4925[/C][C]0.7063[/C][C]0.5251[/C][/ROW]
[ROW][C]p-value[/C][C](0.0014)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wbr[/C][C]0.6594[/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]L;Tg[/C][C]0.6913[/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]L;P[/C][C]-0.1107[/C][C]0.0122[/C][C]-0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.5023)[/C][C](0.9412)[/C][C](0.9604)[/C][/ROW]
[ROW][C]L;S[/C][C]0.3192[/C][C]0.5242[/C][C]0.4101[/C][/ROW]
[ROW][C]p-value[/C][C](0.0476)[/C][C](6e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]L;D[/C][C]0.0605[/C][C]0.2072[/C][C]0.1615[/C][/ROW]
[ROW][C]p-value[/C][C](0.7146)[/C][C](0.2057)[/C][C](0.1831)[/C][/ROW]
[ROW][C]Wb;Wbr[/C][C]0.9557[/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]Wb;Tg[/C][C]0.7191[/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]Wb;P[/C][C]0.1102[/C][C]0.2147[/C][C]0.1602[/C][/ROW]
[ROW][C]p-value[/C][C](0.5042)[/C][C](0.1893)[/C][C](0.1846)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.4025[/C][C]0.5954[/C][C]0.4811[/C][/ROW]
[ROW][C]p-value[/C][C](0.0111)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Wb;D[/C][C]0.2685[/C][C]0.3615[/C][C]0.274[/C][/ROW]
[ROW][C]p-value[/C][C](0.0984)[/C][C](0.0238)[/C][C](0.0236)[/C][/ROW]
[ROW][C]Wbr;Tg[/C][C]0.7369[/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]Wbr;P[/C][C]-0.0034[/C][C]0.1675[/C][C]0.1257[/C][/ROW]
[ROW][C]p-value[/C][C](0.9836)[/C][C](0.3082)[/C][C](0.2976)[/C][/ROW]
[ROW][C]Wbr;S[/C][C]0.3175[/C][C]0.5976[/C][C]0.4905[/C][/ROW]
[ROW][C]p-value[/C][C](0.0489)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Wbr;D[/C][C]0.1595[/C][C]0.3414[/C][C]0.2695[/C][/ROW]
[ROW][C]p-value[/C][C](0.3322)[/C][C](0.0334)[/C][C](0.026)[/C][/ROW]
[ROW][C]Tg;P[/C][C]0.1316[/C][C]0.1162[/C][C]0.075[/C][/ROW]
[ROW][C]p-value[/C][C](0.4247)[/C][C](0.4813)[/C][C](0.5352)[/C][/ROW]
[ROW][C]Tg;S[/C][C]0.5663[/C][C]0.5771[/C][C]0.4617[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]Tg;D[/C][C]0.3349[/C][C]0.3115[/C][C]0.2293[/C][/ROW]
[ROW][C]p-value[/C][C](0.0371)[/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=108153&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108153&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;PS	0.5298	0.5918	0.4165
p-value	(5e-04)	(1e-04)	(2e-04)
SWS;L	-0.3845	-0.4282	-0.2999
p-value	(0.0156)	(0.0065)	(0.0077)
SWS;Wb	-0.3949	-0.6585	-0.4813
p-value	(0.0129)	(0)	(0)
SWS;Wbr	-0.388	-0.6599	-0.4922
p-value	(0.0147)	(0)	(0)
SWS;Tg	-0.6208	-0.6623	-0.485
p-value	(0)	(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)
PS;L	-0.2409	-0.3893	-0.2373
p-value	(0.1396)	(0.0143)	(0.036)
PS;Wb	-0.0881	-0.4395	-0.2777
p-value	(0.594)	(0.0051)	(0.0139)
PS;Wbr	-0.0886	-0.5242	-0.3242
p-value	(0.5915)	(6e-04)	(0.0041)
PS;Tg	-0.4681	-0.6521	-0.4606
p-value	(0.0027)	(0)	(0)
PS;P	-0.4342	-0.5339	-0.3919
p-value	(0.0057)	(5e-04)	(0.0013)
PS;S	-0.533	-0.6156	-0.4706
p-value	(5e-04)	(0)	(1e-04)
PS;D	-0.6041	-0.6808	-0.5266
p-value	(0)	(0)	(0)
L;Wb	0.4925	0.7063	0.5251
p-value	(0.0014)	(0)	(0)
L;Wbr	0.6594	0.8033	0.6499
p-value	(0)	(0)	(0)
L;Tg	0.6913	0.7115	0.533
p-value	(0)	(0)	(0)
L;P	-0.1107	0.0122	-0.006
p-value	(0.5023)	(0.9412)	(0.9604)
L;S	0.3192	0.5242	0.4101
p-value	(0.0476)	(6e-04)	(9e-04)
L;D	0.0605	0.2072	0.1615
p-value	(0.7146)	(0.2057)	(0.1831)
Wb;Wbr	0.9557	0.9284	0.7916
p-value	(0)	(0)	(0)
Wb;Tg	0.7191	0.7095	0.5207
p-value	(0)	(0)	(0)
Wb;P	0.1102	0.2147	0.1602
p-value	(0.5042)	(0.1893)	(0.1846)
Wb;S	0.4025	0.5954	0.4811
p-value	(0.0111)	(1e-04)	(1e-04)
Wb;D	0.2685	0.3615	0.274
p-value	(0.0984)	(0.0238)	(0.0236)
Wbr;Tg	0.7369	0.8082	0.5993
p-value	(0)	(0)	(0)
Wbr;P	-0.0034	0.1675	0.1257
p-value	(0.9836)	(0.3082)	(0.2976)
Wbr;S	0.3175	0.5976	0.4905
p-value	(0.0489)	(1e-04)	(1e-04)
Wbr;D	0.1595	0.3414	0.2695
p-value	(0.3322)	(0.0334)	(0.026)
Tg;P	0.1316	0.1162	0.075
p-value	(0.4247)	(0.4813)	(0.5352)
Tg;S	0.5663	0.5771	0.4617
p-value	(2e-04)	(1e-04)	(2e-04)
Tg;D	0.3349	0.3115	0.2293
p-value	(0.0371)	(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