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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Fri, 24 Dec 2010 12:17:18 +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/24/t12931929410268oluc6au3qkv.htm/, Retrieved Tue, 30 Apr 2024 05:25:19 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114821, Retrieved Tue, 30 Apr 2024 05:25:19 +0000

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149

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

-     [Multiple Regression] [ws sleep] [2010-12-12 12:39:51] [df61ce38492c371f14c407a12b3bb2eb]
- RM D  [Kendall tau Correlation Matrix] [ws sleep] [2010-12-13 12:38:57] [df61ce38492c371f14c407a12b3bb2eb]
-    D    [Kendall tau Correlation Matrix] [ws sleep] [2010-12-22 15:42:44] [df61ce38492c371f14c407a12b3bb2eb]
-             [Kendall tau Correlation Matrix] [] [2010-12-24 12:17:18] [5d543145eb38bc0730d6bf6b0284f470] [Current]

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NA	NA	38.60	6654.00	5712.00	645.00	3.00	5.00	3.00
6.30	2.00	4.50	1.00	6600.00	42.00	3.00	1.00	3.00
NA	NA	14.00	3.39	44.50	60.00	1.00	1.00	1.00
NA	NA	NA	0.92	5.70	25.00	5.00	2.00	3.00
2.10	1.80	69.00	2547.00	4603.00	624.00	3.00	5.00	4.00
9.10	0.70	27.00	10.55	179.50	180.00	4.00	4.00	4.00
15.80	3.90	19.00	0.02	0.30	35.00	1.00	1.00	1.00
5.20	1.00	30.40	160.00	169.00	392.00	4.00	5.00	4.00
10.90	3.60	28.00	3.30	25.60	63.00	1.00	2.00	1.00
8.30	1.40	50.00	52.16	440.00	230.00	1.00	1.00	1.00
11.00	1.50	7.00	0.43	6.40	112.00	5.00	4.00	4.00
3.20	0.70	30.00	465.00	423.00	281.00	5.00	5.00	5.00
7.60	2.70	NA	0.55	2.40	NA	2.00	1.00	2.00
NA	NA	40.00	187.10	419.00	365.00	5.00	5.00	5.00
6.30	2.10	3.50	0.08	1.20	42.00	1.00	1.00	1.00
8.60	0.00	50.00	3.00	25.00	28.00	2.00	2.00	2.00
6.60	4.10	6.00	0.79	3500.00	42.00	2.00	2.00	2.00
9.50	1.20	10.40	0.20	5.00	120.00	2.00	2.00	2.00
4.80	1.30	34.00	1.41	17.50	NA	1.00	2.00	1.00
12.00	6.10	7.00	60.00	81.00	NA	1.00	1.00	1.00
NA	0.30	28.00	529.00	680.00	400.00	5.00	5.00	5.00
3.30	0.50	20.00	27.66	115.00	148.00	5.00	5.00	5.00
11.00	3.40	3.90	0.12	1.00	16.00	3.00	1.00	2.00
NA	NA	39.30	207.00	406.00	252.00	1.00	4.00	1.00
4.70	1.50	41.00	85.00	325.00	310.00	1.00	3.00	1.00
NA	NA	16.20	36.33	119.50	63.00	1.00	1.00	1.00
10.40	3.40	9.00	0.10	4.00	28.00	5.00	1.00	3.00
7.40	0.80	7.60	1.04	5.50	68.00	5.00	3.00	4.00
2.10	0.80	46.00	521.00	655.00	336.00	5.00	5.00	5.00
NA	NA	22.40	100.00	157.00	100.00	1.00	1.00	1.00
NA	NA	16.30	35.00	56.00	33.00	3.00	5.00	4.00
7.70	1.40	2.60	0.01	0.14	21.50	5.00	2.00	4.00
17.90	2.00	24.00	0.01	0.25	50.00	1.00	1.00	1.00
6.10	1.90	100.00	62.00	1320.00	267.00	1.00	1.00	1.00
8.20	2.40	NA	0.12	3.00	30.00	2.00	1.00	1.00
8.40	2.80	NA	1.35	8.10	45.00	3.00	1.00	3.00
11.90	1.30	3.20	0.02	0.40	19.00	4.00	1.00	3.00
10.80	2.00	2.00	0.05	0.33	30.00	4.00	1.00	3.00
13.80	5.60	5.00	1.70	6.30	12.00	2.00	1.00	1.00
14.30	3.10	6.50	3.50	10.80	120.00	2.00	1.00	1.00
NA	1.00	23.60	250.00	490.00	440.00	5.00	5.00	5.00
15.20	1.80	12.00	0.48	15.50	140.00	2.00	2.00	2.00
10.00	0.90	20.20	10.00	115.00	170.00	4.00	4.00	4.00
11.90	1.80	13.00	1.62	11.40	17.00	2.00	1.00	2.00
6.50	1.90	27.00	192.00	180.00	115.00	4.00	4.00	4.00
7.50	0.90	18.00	2.50	12.10	31.00	5.00	5.00	5.00
NA	NA	13.70	4.29	39.20	63.00	2.00	2.00	2.00
10.60	2.60	4.70	0.28	1.90	21.00	3.00	1.00	3.00
7.40	2.40	9.80	4.24	50.40	52.00	1.00	1.00	1.00
8.40	1.20	29.00	6.80	179.00	164.00	2.00	3.00	2.00
5.70	0.90	7.00	0.75	12.30	225.00	2.00	2.00	2.00
4.90	0.50	6.00	3.60	21.00	225.00	3.00	2.00	3.00
NA	NA	17.00	14.83	98.20	150.00	5.00	5.00	5.00
3.20	0.60	20.00	55.50	175.00	151.00	5.00	5.00	5.00
NA	NA	12.70	1.40	12.50	90.00	2.00	2.00	2.00
8.10	2.20	3.50	0.06	1.00	NA	3.00	1.00	2.00
11.00	2.30	4.50	0.90	2.60	60.00	2.00	1.00	2.00
4.90	0.50	7.50	2.00	12.30	200.00	3.00	1.00	3.00
13.20	2.60	2.30	0.10	2.50	46.00	3.00	2.00	2.00
9.70	0.60	24.00	4.19	58.00	210.00	4.00	3.00	4.00
12.80	6.60	3.00	3.50	3.90	14.00	2.00	1.00	1.00
NA	NA	13.00	4.05	17.00	38.00	3.00	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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114821&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114821&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114821&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Correlations for all pairs of data series (method=kendall)
	SWS	PS	L	Wb	Wbr	Tg	P	S	D
SWS	1	0.383	-0.289	-0.363	-0.406	-0.442	-0.188	-0.39	-0.32
PS	0.383	1	-0.272	-0.253	-0.231	-0.415	-0.366	-0.513	-0.49
L	-0.289	-0.272	1	0.55	0.57	0.487	-0.056	0.4	0.085
Wb	-0.363	-0.253	0.55	1	0.758	0.543	0.061	0.456	0.174
Wbr	-0.406	-0.231	0.57	0.758	1	0.543	0.031	0.443	0.173
Tg	-0.442	-0.415	0.487	0.543	0.543	1	0.076	0.494	0.228
P	-0.188	-0.366	-0.056	0.061	0.031	0.076	1	0.469	0.856
S	-0.39	-0.513	0.4	0.456	0.443	0.494	0.469	1	0.628
D	-0.32	-0.49	0.085	0.174	0.173	0.228	0.856	0.628	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & SWS & PS & L & Wb & Wbr & Tg & P & S & D \tabularnewline
SWS & 1 & 0.383 & -0.289 & -0.363 & -0.406 & -0.442 & -0.188 & -0.39 & -0.32 \tabularnewline
PS & 0.383 & 1 & -0.272 & -0.253 & -0.231 & -0.415 & -0.366 & -0.513 & -0.49 \tabularnewline
L & -0.289 & -0.272 & 1 & 0.55 & 0.57 & 0.487 & -0.056 & 0.4 & 0.085 \tabularnewline
Wb & -0.363 & -0.253 & 0.55 & 1 & 0.758 & 0.543 & 0.061 & 0.456 & 0.174 \tabularnewline
Wbr & -0.406 & -0.231 & 0.57 & 0.758 & 1 & 0.543 & 0.031 & 0.443 & 0.173 \tabularnewline
Tg & -0.442 & -0.415 & 0.487 & 0.543 & 0.543 & 1 & 0.076 & 0.494 & 0.228 \tabularnewline
P & -0.188 & -0.366 & -0.056 & 0.061 & 0.031 & 0.076 & 1 & 0.469 & 0.856 \tabularnewline
S & -0.39 & -0.513 & 0.4 & 0.456 & 0.443 & 0.494 & 0.469 & 1 & 0.628 \tabularnewline
D & -0.32 & -0.49 & 0.085 & 0.174 & 0.173 & 0.228 & 0.856 & 0.628 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114821&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/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]0.383[/C][C]-0.289[/C][C]-0.363[/C][C]-0.406[/C][C]-0.442[/C][C]-0.188[/C][C]-0.39[/C][C]-0.32[/C][/ROW]
[ROW][C]PS[/C][C]0.383[/C][C]1[/C][C]-0.272[/C][C]-0.253[/C][C]-0.231[/C][C]-0.415[/C][C]-0.366[/C][C]-0.513[/C][C]-0.49[/C][/ROW]
[ROW][C]L[/C][C]-0.289[/C][C]-0.272[/C][C]1[/C][C]0.55[/C][C]0.57[/C][C]0.487[/C][C]-0.056[/C][C]0.4[/C][C]0.085[/C][/ROW]
[ROW][C]Wb[/C][C]-0.363[/C][C]-0.253[/C][C]0.55[/C][C]1[/C][C]0.758[/C][C]0.543[/C][C]0.061[/C][C]0.456[/C][C]0.174[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.406[/C][C]-0.231[/C][C]0.57[/C][C]0.758[/C][C]1[/C][C]0.543[/C][C]0.031[/C][C]0.443[/C][C]0.173[/C][/ROW]
[ROW][C]Tg[/C][C]-0.442[/C][C]-0.415[/C][C]0.487[/C][C]0.543[/C][C]0.543[/C][C]1[/C][C]0.076[/C][C]0.494[/C][C]0.228[/C][/ROW]
[ROW][C]P[/C][C]-0.188[/C][C]-0.366[/C][C]-0.056[/C][C]0.061[/C][C]0.031[/C][C]0.076[/C][C]1[/C][C]0.469[/C][C]0.856[/C][/ROW]
[ROW][C]S[/C][C]-0.39[/C][C]-0.513[/C][C]0.4[/C][C]0.456[/C][C]0.443[/C][C]0.494[/C][C]0.469[/C][C]1[/C][C]0.628[/C][/ROW]
[ROW][C]D[/C][C]-0.32[/C][C]-0.49[/C][C]0.085[/C][C]0.174[/C][C]0.173[/C][C]0.228[/C][C]0.856[/C][C]0.628[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114821&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114821&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=kendall)
	SWS	PS	L	Wb	Wbr	Tg	P	S	D
SWS	1	0.383	-0.289	-0.363	-0.406	-0.442	-0.188	-0.39	-0.32
PS	0.383	1	-0.272	-0.253	-0.231	-0.415	-0.366	-0.513	-0.49
L	-0.289	-0.272	1	0.55	0.57	0.487	-0.056	0.4	0.085
Wb	-0.363	-0.253	0.55	1	0.758	0.543	0.061	0.456	0.174
Wbr	-0.406	-0.231	0.57	0.758	1	0.543	0.031	0.443	0.173
Tg	-0.442	-0.415	0.487	0.543	0.543	1	0.076	0.494	0.228
P	-0.188	-0.366	-0.056	0.061	0.031	0.076	1	0.469	0.856
S	-0.39	-0.513	0.4	0.456	0.443	0.494	0.469	1	0.628
D	-0.32	-0.49	0.085	0.174	0.173	0.228	0.856	0.628	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
SWS;PS	0.5143	0.5412	0.3833
p-value	(2e-04)	(1e-04)	(1e-04)
SWS;L	-0.3844	-0.4141	-0.2886
p-value	(0.0091)	(0.0047)	(0.0056)
SWS;Wb	-0.3759	-0.5065	-0.3632
p-value	(0.0085)	(2e-04)	(3e-04)
SWS;Wbr	-0.3125	-0.5716	-0.4057
p-value	(0.0306)	(0)	(1e-04)
SWS;Tg	-0.5947	-0.5998	-0.4416
p-value	(0)	(0)	(0)
SWS;P	-0.3182	-0.2496	-0.1882
p-value	(0.0275)	(0.0871)	(0.0832)
SWS;S	-0.5438	-0.501	-0.3899
p-value	(1e-04)	(3e-04)	(5e-04)
SWS;D	-0.4839	-0.4085	-0.3195
p-value	(5e-04)	(0.0039)	(0.0034)
PS;L	-0.2957	-0.4486	-0.2716
p-value	(0.0436)	(0.0016)	(0.0079)
PS;Wb	-0.1094	-0.4078	-0.2528
p-value	(0.4495)	(0.0033)	(0.0104)
PS;Wbr	0.0301	-0.3886	-0.2311
p-value	(0.8354)	(0.0053)	(0.019)
PS;Tg	-0.4509	-0.5822	-0.4147
p-value	(0.0017)	(0)	(1e-04)
PS;P	-0.4475	-0.4943	-0.3659
p-value	(0.0011)	(3e-04)	(6e-04)
PS;S	-0.5372	-0.6662	-0.5129
p-value	(1e-04)	(0)	(0)
PS;D	-0.5793	-0.6353	-0.4896
p-value	(0)	(0)	(0)
L;Wb	0.3025	0.7235	0.5502
p-value	(0.021)	(0)	(0)
L;Wbr	0.2592	0.6947	0.57
p-value	(0.0494)	(0)	(0)
L;Tg	0.6148	0.6728	0.4866
p-value	(0)	(0)	(0)
L;P	-0.1025	-0.0553	-0.0555
p-value	(0.4437)	(0.68)	(0.5727)
L;S	0.3604	0.5346	0.3998
p-value	(0.0055)	(0)	(1e-04)
L;D	0.0618	0.126	0.0852
p-value	(0.645)	(0.3459)	(0.388)
Wb;Wbr	0.6463	0.8675	0.7583
p-value	(0)	(0)	(0)
Wb;Tg	0.6511	0.7272	0.5429
p-value	(0)	(0)	(0)
Wb;P	0.0595	0.0959	0.0609
p-value	(0.646)	(0.4584)	(0.5211)
Wb;S	0.3383	0.5711	0.4557
p-value	(0.0072)	(0)	(0)
Wb;D	0.1336	0.2528	0.174
p-value	(0.3006)	(0.0475)	(0.0671)
Wbr;Tg	0.449	0.7209	0.543
p-value	(4e-04)	(0)	(0)
Wbr;P	0.0055	0.0595	0.0313
p-value	(0.966)	(0.6461)	(0.7413)
Wbr;S	0.1798	0.5491	0.443
p-value	(0.1621)	(0)	(0)
Wbr;D	0.109	0.2507	0.1727
p-value	(0.3993)	(0.0493)	(0.069)
Tg;P	0.2005	0.1231	0.0758
p-value	(0.1313)	(0.3574)	(0.4409)
Tg;S	0.6383	0.6114	0.4945
p-value	(0)	(0)	(0)
Tg;D	0.3786	0.3225	0.2285
p-value	(0.0034)	(0.0136)	(0.0203)
P;S	0.6182	0.5669	0.4693
p-value	(0)	(0)	(0)
P;D	0.916	0.918	0.8563
p-value	(0)	(0)	(0)
S;D	0.7872	0.7181	0.6277
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 & 0.5143 & 0.5412 & 0.3833 \tabularnewline
p-value & (2e-04) & (1e-04) & (1e-04) \tabularnewline
SWS;L & -0.3844 & -0.4141 & -0.2886 \tabularnewline
p-value & (0.0091) & (0.0047) & (0.0056) \tabularnewline
SWS;Wb & -0.3759 & -0.5065 & -0.3632 \tabularnewline
p-value & (0.0085) & (2e-04) & (3e-04) \tabularnewline
SWS;Wbr & -0.3125 & -0.5716 & -0.4057 \tabularnewline
p-value & (0.0306) & (0) & (1e-04) \tabularnewline
SWS;Tg & -0.5947 & -0.5998 & -0.4416 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;P & -0.3182 & -0.2496 & -0.1882 \tabularnewline
p-value & (0.0275) & (0.0871) & (0.0832) \tabularnewline
SWS;S & -0.5438 & -0.501 & -0.3899 \tabularnewline
p-value & (1e-04) & (3e-04) & (5e-04) \tabularnewline
SWS;D & -0.4839 & -0.4085 & -0.3195 \tabularnewline
p-value & (5e-04) & (0.0039) & (0.0034) \tabularnewline
PS;L & -0.2957 & -0.4486 & -0.2716 \tabularnewline
p-value & (0.0436) & (0.0016) & (0.0079) \tabularnewline
PS;Wb & -0.1094 & -0.4078 & -0.2528 \tabularnewline
p-value & (0.4495) & (0.0033) & (0.0104) \tabularnewline
PS;Wbr & 0.0301 & -0.3886 & -0.2311 \tabularnewline
p-value & (0.8354) & (0.0053) & (0.019) \tabularnewline
PS;Tg & -0.4509 & -0.5822 & -0.4147 \tabularnewline
p-value & (0.0017) & (0) & (1e-04) \tabularnewline
PS;P & -0.4475 & -0.4943 & -0.3659 \tabularnewline
p-value & (0.0011) & (3e-04) & (6e-04) \tabularnewline
PS;S & -0.5372 & -0.6662 & -0.5129 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
PS;D & -0.5793 & -0.6353 & -0.4896 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Wb & 0.3025 & 0.7235 & 0.5502 \tabularnewline
p-value & (0.021) & (0) & (0) \tabularnewline
L;Wbr & 0.2592 & 0.6947 & 0.57 \tabularnewline
p-value & (0.0494) & (0) & (0) \tabularnewline
L;Tg & 0.6148 & 0.6728 & 0.4866 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;P & -0.1025 & -0.0553 & -0.0555 \tabularnewline
p-value & (0.4437) & (0.68) & (0.5727) \tabularnewline
L;S & 0.3604 & 0.5346 & 0.3998 \tabularnewline
p-value & (0.0055) & (0) & (1e-04) \tabularnewline
L;D & 0.0618 & 0.126 & 0.0852 \tabularnewline
p-value & (0.645) & (0.3459) & (0.388) \tabularnewline
Wb;Wbr & 0.6463 & 0.8675 & 0.7583 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;Tg & 0.6511 & 0.7272 & 0.5429 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;P & 0.0595 & 0.0959 & 0.0609 \tabularnewline
p-value & (0.646) & (0.4584) & (0.5211) \tabularnewline
Wb;S & 0.3383 & 0.5711 & 0.4557 \tabularnewline
p-value & (0.0072) & (0) & (0) \tabularnewline
Wb;D & 0.1336 & 0.2528 & 0.174 \tabularnewline
p-value & (0.3006) & (0.0475) & (0.0671) \tabularnewline
Wbr;Tg & 0.449 & 0.7209 & 0.543 \tabularnewline
p-value & (4e-04) & (0) & (0) \tabularnewline
Wbr;P & 0.0055 & 0.0595 & 0.0313 \tabularnewline
p-value & (0.966) & (0.6461) & (0.7413) \tabularnewline
Wbr;S & 0.1798 & 0.5491 & 0.443 \tabularnewline
p-value & (0.1621) & (0) & (0) \tabularnewline
Wbr;D & 0.109 & 0.2507 & 0.1727 \tabularnewline
p-value & (0.3993) & (0.0493) & (0.069) \tabularnewline
Tg;P & 0.2005 & 0.1231 & 0.0758 \tabularnewline
p-value & (0.1313) & (0.3574) & (0.4409) \tabularnewline
Tg;S & 0.6383 & 0.6114 & 0.4945 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Tg;D & 0.3786 & 0.3225 & 0.2285 \tabularnewline
p-value & (0.0034) & (0.0136) & (0.0203) \tabularnewline
P;S & 0.6182 & 0.5669 & 0.4693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;D & 0.916 & 0.918 & 0.8563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
S;D & 0.7872 & 0.7181 & 0.6277 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114821&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]0.5143[/C][C]0.5412[/C][C]0.3833[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]SWS;L[/C][C]-0.3844[/C][C]-0.4141[/C][C]-0.2886[/C][/ROW]
[ROW][C]p-value[/C][C](0.0091)[/C][C](0.0047)[/C][C](0.0056)[/C][/ROW]
[ROW][C]SWS;Wb[/C][C]-0.3759[/C][C]-0.5065[/C][C]-0.3632[/C][/ROW]
[ROW][C]p-value[/C][C](0.0085)[/C][C](2e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]SWS;Wbr[/C][C]-0.3125[/C][C]-0.5716[/C][C]-0.4057[/C][/ROW]
[ROW][C]p-value[/C][C](0.0306)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]SWS;Tg[/C][C]-0.5947[/C][C]-0.5998[/C][C]-0.4416[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.3182[/C][C]-0.2496[/C][C]-0.1882[/C][/ROW]
[ROW][C]p-value[/C][C](0.0275)[/C][C](0.0871)[/C][C](0.0832)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.5438[/C][C]-0.501[/C][C]-0.3899[/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]-0.4839[/C][C]-0.4085[/C][C]-0.3195[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0.0039)[/C][C](0.0034)[/C][/ROW]
[ROW][C]PS;L[/C][C]-0.2957[/C][C]-0.4486[/C][C]-0.2716[/C][/ROW]
[ROW][C]p-value[/C][C](0.0436)[/C][C](0.0016)[/C][C](0.0079)[/C][/ROW]
[ROW][C]PS;Wb[/C][C]-0.1094[/C][C]-0.4078[/C][C]-0.2528[/C][/ROW]
[ROW][C]p-value[/C][C](0.4495)[/C][C](0.0033)[/C][C](0.0104)[/C][/ROW]
[ROW][C]PS;Wbr[/C][C]0.0301[/C][C]-0.3886[/C][C]-0.2311[/C][/ROW]
[ROW][C]p-value[/C][C](0.8354)[/C][C](0.0053)[/C][C](0.019)[/C][/ROW]
[ROW][C]PS;Tg[/C][C]-0.4509[/C][C]-0.5822[/C][C]-0.4147[/C][/ROW]
[ROW][C]p-value[/C][C](0.0017)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PS;P[/C][C]-0.4475[/C][C]-0.4943[/C][C]-0.3659[/C][/ROW]
[ROW][C]p-value[/C][C](0.0011)[/C][C](3e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]PS;S[/C][C]-0.5372[/C][C]-0.6662[/C][C]-0.5129[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;D[/C][C]-0.5793[/C][C]-0.6353[/C][C]-0.4896[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wb[/C][C]0.3025[/C][C]0.7235[/C][C]0.5502[/C][/ROW]
[ROW][C]p-value[/C][C](0.021)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wbr[/C][C]0.2592[/C][C]0.6947[/C][C]0.57[/C][/ROW]
[ROW][C]p-value[/C][C](0.0494)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Tg[/C][C]0.6148[/C][C]0.6728[/C][C]0.4866[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;P[/C][C]-0.1025[/C][C]-0.0553[/C][C]-0.0555[/C][/ROW]
[ROW][C]p-value[/C][C](0.4437)[/C][C](0.68)[/C][C](0.5727)[/C][/ROW]
[ROW][C]L;S[/C][C]0.3604[/C][C]0.5346[/C][C]0.3998[/C][/ROW]
[ROW][C]p-value[/C][C](0.0055)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]L;D[/C][C]0.0618[/C][C]0.126[/C][C]0.0852[/C][/ROW]
[ROW][C]p-value[/C][C](0.645)[/C][C](0.3459)[/C][C](0.388)[/C][/ROW]
[ROW][C]Wb;Wbr[/C][C]0.6463[/C][C]0.8675[/C][C]0.7583[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;Tg[/C][C]0.6511[/C][C]0.7272[/C][C]0.5429[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;P[/C][C]0.0595[/C][C]0.0959[/C][C]0.0609[/C][/ROW]
[ROW][C]p-value[/C][C](0.646)[/C][C](0.4584)[/C][C](0.5211)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.3383[/C][C]0.5711[/C][C]0.4557[/C][/ROW]
[ROW][C]p-value[/C][C](0.0072)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;D[/C][C]0.1336[/C][C]0.2528[/C][C]0.174[/C][/ROW]
[ROW][C]p-value[/C][C](0.3006)[/C][C](0.0475)[/C][C](0.0671)[/C][/ROW]
[ROW][C]Wbr;Tg[/C][C]0.449[/C][C]0.7209[/C][C]0.543[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;P[/C][C]0.0055[/C][C]0.0595[/C][C]0.0313[/C][/ROW]
[ROW][C]p-value[/C][C](0.966)[/C][C](0.6461)[/C][C](0.7413)[/C][/ROW]
[ROW][C]Wbr;S[/C][C]0.1798[/C][C]0.5491[/C][C]0.443[/C][/ROW]
[ROW][C]p-value[/C][C](0.1621)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;D[/C][C]0.109[/C][C]0.2507[/C][C]0.1727[/C][/ROW]
[ROW][C]p-value[/C][C](0.3993)[/C][C](0.0493)[/C][C](0.069)[/C][/ROW]
[ROW][C]Tg;P[/C][C]0.2005[/C][C]0.1231[/C][C]0.0758[/C][/ROW]
[ROW][C]p-value[/C][C](0.1313)[/C][C](0.3574)[/C][C](0.4409)[/C][/ROW]
[ROW][C]Tg;S[/C][C]0.6383[/C][C]0.6114[/C][C]0.4945[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Tg;D[/C][C]0.3786[/C][C]0.3225[/C][C]0.2285[/C][/ROW]
[ROW][C]p-value[/C][C](0.0034)[/C][C](0.0136)[/C][C](0.0203)[/C][/ROW]
[ROW][C]P;S[/C][C]0.6182[/C][C]0.5669[/C][C]0.4693[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;D[/C][C]0.916[/C][C]0.918[/C][C]0.8563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]S;D[/C][C]0.7872[/C][C]0.7181[/C][C]0.6277[/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=114821&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114821&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	0.5143	0.5412	0.3833
p-value	(2e-04)	(1e-04)	(1e-04)
SWS;L	-0.3844	-0.4141	-0.2886
p-value	(0.0091)	(0.0047)	(0.0056)
SWS;Wb	-0.3759	-0.5065	-0.3632
p-value	(0.0085)	(2e-04)	(3e-04)
SWS;Wbr	-0.3125	-0.5716	-0.4057
p-value	(0.0306)	(0)	(1e-04)
SWS;Tg	-0.5947	-0.5998	-0.4416
p-value	(0)	(0)	(0)
SWS;P	-0.3182	-0.2496	-0.1882
p-value	(0.0275)	(0.0871)	(0.0832)
SWS;S	-0.5438	-0.501	-0.3899
p-value	(1e-04)	(3e-04)	(5e-04)
SWS;D	-0.4839	-0.4085	-0.3195
p-value	(5e-04)	(0.0039)	(0.0034)
PS;L	-0.2957	-0.4486	-0.2716
p-value	(0.0436)	(0.0016)	(0.0079)
PS;Wb	-0.1094	-0.4078	-0.2528
p-value	(0.4495)	(0.0033)	(0.0104)
PS;Wbr	0.0301	-0.3886	-0.2311
p-value	(0.8354)	(0.0053)	(0.019)
PS;Tg	-0.4509	-0.5822	-0.4147
p-value	(0.0017)	(0)	(1e-04)
PS;P	-0.4475	-0.4943	-0.3659
p-value	(0.0011)	(3e-04)	(6e-04)
PS;S	-0.5372	-0.6662	-0.5129
p-value	(1e-04)	(0)	(0)
PS;D	-0.5793	-0.6353	-0.4896
p-value	(0)	(0)	(0)
L;Wb	0.3025	0.7235	0.5502
p-value	(0.021)	(0)	(0)
L;Wbr	0.2592	0.6947	0.57
p-value	(0.0494)	(0)	(0)
L;Tg	0.6148	0.6728	0.4866
p-value	(0)	(0)	(0)
L;P	-0.1025	-0.0553	-0.0555
p-value	(0.4437)	(0.68)	(0.5727)
L;S	0.3604	0.5346	0.3998
p-value	(0.0055)	(0)	(1e-04)
L;D	0.0618	0.126	0.0852
p-value	(0.645)	(0.3459)	(0.388)
Wb;Wbr	0.6463	0.8675	0.7583
p-value	(0)	(0)	(0)
Wb;Tg	0.6511	0.7272	0.5429
p-value	(0)	(0)	(0)
Wb;P	0.0595	0.0959	0.0609
p-value	(0.646)	(0.4584)	(0.5211)
Wb;S	0.3383	0.5711	0.4557
p-value	(0.0072)	(0)	(0)
Wb;D	0.1336	0.2528	0.174
p-value	(0.3006)	(0.0475)	(0.0671)
Wbr;Tg	0.449	0.7209	0.543
p-value	(4e-04)	(0)	(0)
Wbr;P	0.0055	0.0595	0.0313
p-value	(0.966)	(0.6461)	(0.7413)
Wbr;S	0.1798	0.5491	0.443
p-value	(0.1621)	(0)	(0)
Wbr;D	0.109	0.2507	0.1727
p-value	(0.3993)	(0.0493)	(0.069)
Tg;P	0.2005	0.1231	0.0758
p-value	(0.1313)	(0.3574)	(0.4409)
Tg;S	0.6383	0.6114	0.4945
p-value	(0)	(0)	(0)
Tg;D	0.3786	0.3225	0.2285
p-value	(0.0034)	(0.0136)	(0.0203)
P;S	0.6182	0.5669	0.4693
p-value	(0)	(0)	(0)
P;D	0.916	0.918	0.8563
p-value	(0)	(0)	(0)
S;D	0.7872	0.7181	0.6277
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

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