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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Sun, 12 Dec 2010 14:21:59 +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/12/t1292163683yzbueu2aypj2tys.htm/, Retrieved Tue, 07 May 2024 19:20:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108468, Retrieved Tue, 07 May 2024 19:20:41 +0000

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178

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

-     [Kendall tau Correlation Matrix] [Extra Ws, poging 2] [2010-12-12 12:49:13] [3635fb7041b1998c5a1332cf9de22bce]
-    D  [Kendall tau Correlation Matrix] [Extra workshop, 3...] [2010-12-12 14:12:35] [3635fb7041b1998c5a1332cf9de22bce]
-           [Kendall tau Correlation Matrix] [Extra WS Correlat...] [2010-12-12 14:21:59] [4d0f7ea43b071af5c75b527ee1ef14c2] [Current]
- RMPD        [Multiple Regression] [Extra WS Multiple...] [2010-12-13 10:56:49] [8081b8996d5947580de3eb171e82db4f] 
-    D          [Multiple Regression] [Extra WS Multiple...] [2010-12-13 11:24:27] [8081b8996d5947580de3eb171e82db4f] 
-    D            [Multiple Regression] [Extra WS Multiple...] [2010-12-13 11:29:25] [8081b8996d5947580de3eb171e82db4f] 
-    D          [Multiple Regression] [Extra WS Multiple...] [2010-12-13 21:28:21] [8081b8996d5947580de3eb171e82db4f] 
-    D            [Multiple Regression] [Extra WS Multiple...] [2010-12-13 21:59:12] [8081b8996d5947580de3eb171e82db4f] 
-   PD          [Multiple Regression] [Science workshop] [2010-12-13 21:22:33] [3635fb7041b1998c5a1332cf9de22bce] 
-    D            [Multiple Regression] [Artikel Science] [2010-12-13 21:59:45] [3635fb7041b1998c5a1332cf9de22bce] 
-   PD          [Multiple Regression] [Extra ws, MLR, Wb...] [2010-12-13 21:36:00] [d946de7cca328fbcf207448a112523ab] 

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Dataseries X:

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6.3	2.0	4.5	1.0	6.6	42.0	3.0	1.0	3.0
2.1	1.8	69.0	2547.0	4603.0	624.0	3.0	5.0	4.0
9.1	0.7	27.0	10.55	179.5	180.0	4.0	4.0	4.0
15.8	3.9	19.0	0.023	0.3	35.0	1.0	1.0	1.0
5.2	1.0	30.4	160.0	169.0	392.0	4.0	5.0	4.0
10.9	3.6	28.0	3.3	25.6	63.0	1.0	2.0	1.0
8.3	1.4	50.0	52.16	440.0	230.0	1.0	1.0	1.0
11.0	1.5	7.0	0.425	6.4	112.0	5.0	4.0	4.0
3.2	0.7	30.0	465.0	423.0	281.0	5.0	5.0	5.0
6.3	2.1	3.5	0.075	1.2	42.0	1.0	1.0	1.0
6.6	4.1	6.0	0.785	3.5	42.0	2.0	2.0	2.0
9.5	1.2	10.4	0.2	5.0	120.0	2.0	2.0	2.0
3.3	0.5	20.0	27.66	115.0	148.0	5.0	5.0	5.0
11.0	3.4	3.9	0.12	1.0	16.0	3.0	1.0	2.0
4.7	1.5	41.0	85.0	325.0	310.0	1.0	3.0	1.0
10.4	3.4	9.0	0.101	4.0	28.0	5.0	1.0	3.0
7.4	0.8	7.6	1.04	5.5	68.0	5.0	3.0	4.0
2.1	0.8	46.0	521.0	655.0	336.0	5.0	5.0	5.0
17.9	2.0	24.0	0.01	0.25	50.0	1.0	1.0	1.0
6.1	1.9	100.0	62.0	1320.0	267.0	1.0	1.0	1.0
11.9	1.3	3.2	0.023	0.4	19.0	4.0	1.0	3.0
13.8	5.6	5.0	1.7	6.3	12.0	2.0	1.0	1.0
14.3	3.1	6.5	3.5	10.8	120.0	2.0	1.0	1.0
15.2	1.8	12.0	0.48	15.5	140.0	2.0	2.0	2.0
10.0	0.9	20.2	10.0	115.0	170.0	4.0	4.0	4.0
11.9	1.8	13.0	1.62	11.4	17.0	2.0	1.0	2.0
6.5	1.9	27.0	192.0	180.0	115.0	4.0	4.0	4.0
7.5	0.9	18.0	2.5	12.1	31.0	5.0	5.0	5.0
10.6	2.6	4.7	0.28	1.9	21.0	3.0	1.0	3.0
7.4	2.4	9.8	4.235	50.4	52.0	1.0	1.0	1.0
8.4	1.2	29.0	6.8	179.0	164.0	2.0	3.0	2.0
5.7	0.9	7.0	0.75	12.3	225.0	2.0	2.0	2.0
4.9	0.5	6.0	3.6	21.0	225.0	3.0	2.0	3.0
3.2	0.6	20.0	55.5	175.0	151.0	5.0	5.0	5.0
11.0	2.3	4.5	0.9	2.6	60.0	2.0	1.0	2.0
4.9	0.5	7.5	2.0	12.3	200.0	3.0	1.0	3.0
13.2	2.6	2.3	0.104	2.5	46.0	3.0	2.0	2.0
9.7	0.6	24.0	4.19	58.0	210.0	4.0	3.0	4.0
12.8	6.6	3.0	3.5	3.9	14.0	2.0	1.0	1.0

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=108468&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=108468&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108468&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=spearman)
	SWS	PS	L	Wb	Wbr	Tg	P	S	D
SWS	1	0.592	-0.428	-0.659	-0.66	-0.662	-0.312	-0.549	-0.491
PS	0.592	1	-0.389	-0.439	-0.524	-0.652	-0.534	-0.616	-0.681
L	-0.428	-0.389	1	0.706	0.803	0.711	0.012	0.524	0.207
Wb	-0.659	-0.439	0.706	1	0.928	0.71	0.215	0.595	0.361
Wbr	-0.66	-0.524	0.803	0.928	1	0.808	0.167	0.598	0.341
Tg	-0.662	-0.652	0.711	0.71	0.808	1	0.116	0.577	0.312
P	-0.312	-0.534	0.012	0.215	0.167	0.116	1	0.619	0.933
S	-0.549	-0.616	0.524	0.595	0.598	0.577	0.619	1	0.753
D	-0.491	-0.681	0.207	0.361	0.341	0.312	0.933	0.753	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=spearman) \tabularnewline
  & SWS & PS & L & Wb & Wbr & Tg & P & S & D \tabularnewline
SWS & 1 & 0.592 & -0.428 & -0.659 & -0.66 & -0.662 & -0.312 & -0.549 & -0.491 \tabularnewline
PS & 0.592 & 1 & -0.389 & -0.439 & -0.524 & -0.652 & -0.534 & -0.616 & -0.681 \tabularnewline
L & -0.428 & -0.389 & 1 & 0.706 & 0.803 & 0.711 & 0.012 & 0.524 & 0.207 \tabularnewline
Wb & -0.659 & -0.439 & 0.706 & 1 & 0.928 & 0.71 & 0.215 & 0.595 & 0.361 \tabularnewline
Wbr & -0.66 & -0.524 & 0.803 & 0.928 & 1 & 0.808 & 0.167 & 0.598 & 0.341 \tabularnewline
Tg & -0.662 & -0.652 & 0.711 & 0.71 & 0.808 & 1 & 0.116 & 0.577 & 0.312 \tabularnewline
P & -0.312 & -0.534 & 0.012 & 0.215 & 0.167 & 0.116 & 1 & 0.619 & 0.933 \tabularnewline
S & -0.549 & -0.616 & 0.524 & 0.595 & 0.598 & 0.577 & 0.619 & 1 & 0.753 \tabularnewline
D & -0.491 & -0.681 & 0.207 & 0.361 & 0.341 & 0.312 & 0.933 & 0.753 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108468&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=spearman)[/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]0.592[/C][C]-0.428[/C][C]-0.659[/C][C]-0.66[/C][C]-0.662[/C][C]-0.312[/C][C]-0.549[/C][C]-0.491[/C][/ROW]
[ROW][C]PS[/C][C]0.592[/C][C]1[/C][C]-0.389[/C][C]-0.439[/C][C]-0.524[/C][C]-0.652[/C][C]-0.534[/C][C]-0.616[/C][C]-0.681[/C][/ROW]
[ROW][C]L[/C][C]-0.428[/C][C]-0.389[/C][C]1[/C][C]0.706[/C][C]0.803[/C][C]0.711[/C][C]0.012[/C][C]0.524[/C][C]0.207[/C][/ROW]
[ROW][C]Wb[/C][C]-0.659[/C][C]-0.439[/C][C]0.706[/C][C]1[/C][C]0.928[/C][C]0.71[/C][C]0.215[/C][C]0.595[/C][C]0.361[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.66[/C][C]-0.524[/C][C]0.803[/C][C]0.928[/C][C]1[/C][C]0.808[/C][C]0.167[/C][C]0.598[/C][C]0.341[/C][/ROW]
[ROW][C]Tg[/C][C]-0.662[/C][C]-0.652[/C][C]0.711[/C][C]0.71[/C][C]0.808[/C][C]1[/C][C]0.116[/C][C]0.577[/C][C]0.312[/C][/ROW]
[ROW][C]P[/C][C]-0.312[/C][C]-0.534[/C][C]0.012[/C][C]0.215[/C][C]0.167[/C][C]0.116[/C][C]1[/C][C]0.619[/C][C]0.933[/C][/ROW]
[ROW][C]S[/C][C]-0.549[/C][C]-0.616[/C][C]0.524[/C][C]0.595[/C][C]0.598[/C][C]0.577[/C][C]0.619[/C][C]1[/C][C]0.753[/C][/ROW]
[ROW][C]D[/C][C]-0.491[/C][C]-0.681[/C][C]0.207[/C][C]0.361[/C][C]0.341[/C][C]0.312[/C][C]0.933[/C][C]0.753[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108468&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108468&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=spearman)
	SWS	PS	L	Wb	Wbr	Tg	P	S	D
SWS	1	0.592	-0.428	-0.659	-0.66	-0.662	-0.312	-0.549	-0.491
PS	0.592	1	-0.389	-0.439	-0.524	-0.652	-0.534	-0.616	-0.681
L	-0.428	-0.389	1	0.706	0.803	0.711	0.012	0.524	0.207
Wb	-0.659	-0.439	0.706	1	0.928	0.71	0.215	0.595	0.361
Wbr	-0.66	-0.524	0.803	0.928	1	0.808	0.167	0.598	0.341
Tg	-0.662	-0.652	0.711	0.71	0.808	1	0.116	0.577	0.312
P	-0.312	-0.534	0.012	0.215	0.167	0.116	1	0.619	0.933
S	-0.549	-0.616	0.524	0.595	0.598	0.577	0.619	1	0.753
D	-0.491	-0.681	0.207	0.361	0.341	0.312	0.933	0.753	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	-0.3948	-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	-0.088	-0.4395	-0.2777
p-value	(0.5942)	(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	0.4923	0.7063	0.5251
p-value	(0.0015)	(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	0.719	0.7095	0.5207
p-value	(0)	(0)	(0)
Wb;P	0.1101	0.2147	0.1602
p-value	(0.5045)	(0.1893)	(0.1846)
Wb;S	0.4024	0.5954	0.4811
p-value	(0.0111)	(1e-04)	(1e-04)
Wb;D	0.2684	0.3615	0.274
p-value	(0.0985)	(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	(0.9835)	(0.3082)	(0.2976)
Wbr;S	0.3175	0.5976	0.4905
p-value	(0.0489)	(1e-04)	(1e-04)
Wbr;D	0.1594	0.3414	0.2695
p-value	(0.3323)	(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 & -0.3948 & -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 & -0.088 & -0.4395 & -0.2777 \tabularnewline
p-value & (0.5942) & (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 & 0.4923 & 0.7063 & 0.5251 \tabularnewline
p-value & (0.0015) & (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 & 0.719 & 0.7095 & 0.5207 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;P & 0.1101 & 0.2147 & 0.1602 \tabularnewline
p-value & (0.5045) & (0.1893) & (0.1846) \tabularnewline
Wb;S & 0.4024 & 0.5954 & 0.4811 \tabularnewline
p-value & (0.0111) & (1e-04) & (1e-04) \tabularnewline
Wb;D & 0.2684 & 0.3615 & 0.274 \tabularnewline
p-value & (0.0985) & (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 & (0.9835) & (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 & 0.1594 & 0.3414 & 0.2695 \tabularnewline
p-value & (0.3323) & (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=108468&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]-0.3948[/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]-0.088[/C][C]-0.4395[/C][C]-0.2777[/C][/ROW]
[ROW][C]p-value[/C][C](0.5942)[/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]0.4923[/C][C]0.7063[/C][C]0.5251[/C][/ROW]
[ROW][C]p-value[/C][C](0.0015)[/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]0.719[/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]0.1101[/C][C]0.2147[/C][C]0.1602[/C][/ROW]
[ROW][C]p-value[/C][C](0.5045)[/C][C](0.1893)[/C][C](0.1846)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.4024[/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]0.2684[/C][C]0.3615[/C][C]0.274[/C][/ROW]
[ROW][C]p-value[/C][C](0.0985)[/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](0.9835)[/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]0.1594[/C][C]0.3414[/C][C]0.2695[/C][/ROW]
[ROW][C]p-value[/C][C](0.3323)[/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=108468&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108468&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	-0.3948	-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	-0.088	-0.4395	-0.2777
p-value	(0.5942)	(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	0.4923	0.7063	0.5251
p-value	(0.0015)	(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	0.719	0.7095	0.5207
p-value	(0)	(0)	(0)
Wb;P	0.1101	0.2147	0.1602
p-value	(0.5045)	(0.1893)	(0.1846)
Wb;S	0.4024	0.5954	0.4811
p-value	(0.0111)	(1e-04)	(1e-04)
Wb;D	0.2684	0.3615	0.274
p-value	(0.0985)	(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	(0.9835)	(0.3082)	(0.2976)
Wbr;S	0.3175	0.5976	0.4905
p-value	(0.0489)	(1e-04)	(1e-04)
Wbr;D	0.1594	0.3414	0.2695
p-value	(0.3323)	(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 = spearman ;

Parameters (R input):

par1 = spearman ;

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