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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Tue, 21 Dec 2010 23:03:47 +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/22/t1292972535876471tfcdox700.htm/, Retrieved Sun, 05 May 2024 21:13:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114023, Retrieved Sun, 05 May 2024 21:13:48 +0000

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176

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-     [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] [Extra opdracht - ...] [2010-12-21 23:03:47] [63a115f47699ab31b1a302b9539c58a2] [Current]

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-999.00	-999.00	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
-999.00	-999.00	14.00	3.39	44.50	60.00	1.00	1.00	1.00
-999.00	-999.00	-999.00	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	-999.00	0.55	2.40	-999.00	2.00	1.00	2.00
-999.00	-999.00	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	-999.00	1.00	2.00	1.00
12.00	6.10	7.00	60.00	81.00	-999.00	1.00	1.00	1.00
-999.00	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
-999.00	-999.00	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
-999.00	-999.00	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
-999.00	-999.00	22.40	100.00	157.00	100.00	1.00	1.00	1.00
-999.00	-999.00	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	-999.00	0.12	3.00	30.00	2.00	1.00	1.00
8.40	2.80	-999.00	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
-999.00	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
-999.00	-999.00	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
-999.00	-999.00	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
-999.00	-999.00	12.70	1.40	12.50	90.00	2.00	2.00	2.00
8.10	2.20	3.50	0.06	1.00	-999.00	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
-999.00	-999.00	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	6 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114023&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114023&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114023&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	6 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Correlations for all pairs of data series (method=kendall)
	SWS	PS	L	Wb	Wbr	Tg	P	S	D
SWS	1	0.595	-0.247	-0.423	-0.402	-0.327	-0.136	-0.363	-0.219
PS	0.595	1	-0.268	-0.308	-0.253	-0.323	-0.204	-0.401	-0.283
L	-0.247	-0.268	1	0.542	0.567	0.477	-0.059	0.415	0.089
Wb	-0.423	-0.308	0.542	1	0.758	0.507	0.061	0.456	0.174
Wbr	-0.402	-0.253	0.567	0.758	1	0.518	0.031	0.443	0.173
Tg	-0.327	-0.323	0.477	0.507	0.518	1	0.13	0.499	0.264
P	-0.136	-0.204	-0.059	0.061	0.031	0.13	1	0.469	0.856
S	-0.363	-0.401	0.415	0.456	0.443	0.499	0.469	1	0.628
D	-0.219	-0.283	0.089	0.174	0.173	0.264	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 & 0.595 & -0.247 & -0.423 & -0.402 & -0.327 & -0.136 & -0.363 & -0.219 \tabularnewline
PS & 0.595 & 1 & -0.268 & -0.308 & -0.253 & -0.323 & -0.204 & -0.401 & -0.283 \tabularnewline
L & -0.247 & -0.268 & 1 & 0.542 & 0.567 & 0.477 & -0.059 & 0.415 & 0.089 \tabularnewline
Wb & -0.423 & -0.308 & 0.542 & 1 & 0.758 & 0.507 & 0.061 & 0.456 & 0.174 \tabularnewline
Wbr & -0.402 & -0.253 & 0.567 & 0.758 & 1 & 0.518 & 0.031 & 0.443 & 0.173 \tabularnewline
Tg & -0.327 & -0.323 & 0.477 & 0.507 & 0.518 & 1 & 0.13 & 0.499 & 0.264 \tabularnewline
P & -0.136 & -0.204 & -0.059 & 0.061 & 0.031 & 0.13 & 1 & 0.469 & 0.856 \tabularnewline
S & -0.363 & -0.401 & 0.415 & 0.456 & 0.443 & 0.499 & 0.469 & 1 & 0.628 \tabularnewline
D & -0.219 & -0.283 & 0.089 & 0.174 & 0.173 & 0.264 & 0.856 & 0.628 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114023&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]0.595[/C][C]-0.247[/C][C]-0.423[/C][C]-0.402[/C][C]-0.327[/C][C]-0.136[/C][C]-0.363[/C][C]-0.219[/C][/ROW]
[ROW][C]PS[/C][C]0.595[/C][C]1[/C][C]-0.268[/C][C]-0.308[/C][C]-0.253[/C][C]-0.323[/C][C]-0.204[/C][C]-0.401[/C][C]-0.283[/C][/ROW]
[ROW][C]L[/C][C]-0.247[/C][C]-0.268[/C][C]1[/C][C]0.542[/C][C]0.567[/C][C]0.477[/C][C]-0.059[/C][C]0.415[/C][C]0.089[/C][/ROW]
[ROW][C]Wb[/C][C]-0.423[/C][C]-0.308[/C][C]0.542[/C][C]1[/C][C]0.758[/C][C]0.507[/C][C]0.061[/C][C]0.456[/C][C]0.174[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.402[/C][C]-0.253[/C][C]0.567[/C][C]0.758[/C][C]1[/C][C]0.518[/C][C]0.031[/C][C]0.443[/C][C]0.173[/C][/ROW]
[ROW][C]Tg[/C][C]-0.327[/C][C]-0.323[/C][C]0.477[/C][C]0.507[/C][C]0.518[/C][C]1[/C][C]0.13[/C][C]0.499[/C][C]0.264[/C][/ROW]
[ROW][C]P[/C][C]-0.136[/C][C]-0.204[/C][C]-0.059[/C][C]0.061[/C][C]0.031[/C][C]0.13[/C][C]1[/C][C]0.469[/C][C]0.856[/C][/ROW]
[ROW][C]S[/C][C]-0.363[/C][C]-0.401[/C][C]0.415[/C][C]0.456[/C][C]0.443[/C][C]0.499[/C][C]0.469[/C][C]1[/C][C]0.628[/C][/ROW]
[ROW][C]D[/C][C]-0.219[/C][C]-0.283[/C][C]0.089[/C][C]0.174[/C][C]0.173[/C][C]0.264[/C][C]0.856[/C][C]0.628[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114023&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114023&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	0.595	-0.247	-0.423	-0.402	-0.327	-0.136	-0.363	-0.219
PS	0.595	1	-0.268	-0.308	-0.253	-0.323	-0.204	-0.401	-0.283
L	-0.247	-0.268	1	0.542	0.567	0.477	-0.059	0.415	0.089
Wb	-0.423	-0.308	0.542	1	0.758	0.507	0.061	0.456	0.174
Wbr	-0.402	-0.253	0.567	0.758	1	0.518	0.031	0.443	0.173
Tg	-0.327	-0.323	0.477	0.507	0.518	1	0.13	0.499	0.264
P	-0.136	-0.204	-0.059	0.061	0.031	0.13	1	0.469	0.856
S	-0.363	-0.401	0.415	0.456	0.443	0.499	0.469	1	0.628
D	-0.219	-0.283	0.089	0.174	0.173	0.264	0.856	0.628	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
SWS;PS	0.9074	0.7668	0.5954
p-value	(0)	(0)	(0)
SWS;L	0.0097	-0.3691	-0.2469
p-value	(0.9406)	(0.0032)	(0.0057)
SWS;Wb	-0.2279	-0.5949	-0.4229
p-value	(0.0749)	(0)	(0)
SWS;Wbr	-0.0628	-0.5783	-0.402
p-value	(0.6277)	(0)	(0)
SWS;Tg	-0.2178	-0.4493	-0.3271
p-value	(0.089)	(2e-04)	(2e-04)
SWS;P	-0.0496	-0.1722	-0.1359
p-value	(0.7017)	(0.1808)	(0.1603)
SWS;S	-0.2488	-0.4595	-0.363
p-value	(0.0512)	(2e-04)	(2e-04)
SWS;D	-0.0683	-0.2668	-0.2189
p-value	(0.5977)	(0.036)	(0.024)
PS;L	0.033	-0.4284	-0.2684
p-value	(0.7987)	(5e-04)	(0.0026)
PS;Wb	-0.2227	-0.4751	-0.3082
p-value	(0.0819)	(1e-04)	(5e-04)
PS;Wbr	-0.0554	-0.4082	-0.2527
p-value	(0.669)	(0.001)	(0.0045)
PS;Tg	-0.139	-0.4703	-0.3228
p-value	(0.2813)	(1e-04)	(3e-04)
PS;P	0.0671	-0.2648	-0.2039
p-value	(0.6045)	(0.0375)	(0.035)
PS;S	-0.1289	-0.5117	-0.4007
p-value	(0.318)	(0)	(0)
PS;D	0.0656	-0.3525	-0.2826
p-value	(0.6125)	(0.005)	(0.0035)
L;Wb	0.0792	0.7267	0.5416
p-value	(0.5407)	(0)	(0)
L;Wbr	0.1084	0.7126	0.5669
p-value	(0.4017)	(0)	(0)
L;Tg	0.2672	0.6544	0.4772
p-value	(0.0358)	(0)	(0)
L;P	-0.0301	-0.0651	-0.0593
p-value	(0.8166)	(0.6149)	(0.5332)
L;S	0.217	0.5509	0.4154
p-value	(0.0903)	(0)	(0)
L;D	0.0707	0.1316	0.0894
p-value	(0.5848)	(0.308)	(0.3484)
Wb;Wbr	0.6463	0.8675	0.7583
p-value	(0)	(0)	(0)
Wb;Tg	0.3399	0.6803	0.5069
p-value	(0.0069)	(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	0.2779	0.6967	0.5183
p-value	(0.0288)	(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	0.2668	0.1898	0.1299
p-value	(0.0361)	(0.1395)	(0.1724)
Tg;S	0.4527	0.619	0.499
p-value	(2e-04)	(0)	(0)
Tg;D	0.3483	0.3611	0.264
p-value	(0.0055)	(0.0039)	(0.0056)
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 & 0.9074 & 0.7668 & 0.5954 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;L & 0.0097 & -0.3691 & -0.2469 \tabularnewline
p-value & (0.9406) & (0.0032) & (0.0057) \tabularnewline
SWS;Wb & -0.2279 & -0.5949 & -0.4229 \tabularnewline
p-value & (0.0749) & (0) & (0) \tabularnewline
SWS;Wbr & -0.0628 & -0.5783 & -0.402 \tabularnewline
p-value & (0.6277) & (0) & (0) \tabularnewline
SWS;Tg & -0.2178 & -0.4493 & -0.3271 \tabularnewline
p-value & (0.089) & (2e-04) & (2e-04) \tabularnewline
SWS;P & -0.0496 & -0.1722 & -0.1359 \tabularnewline
p-value & (0.7017) & (0.1808) & (0.1603) \tabularnewline
SWS;S & -0.2488 & -0.4595 & -0.363 \tabularnewline
p-value & (0.0512) & (2e-04) & (2e-04) \tabularnewline
SWS;D & -0.0683 & -0.2668 & -0.2189 \tabularnewline
p-value & (0.5977) & (0.036) & (0.024) \tabularnewline
PS;L & 0.033 & -0.4284 & -0.2684 \tabularnewline
p-value & (0.7987) & (5e-04) & (0.0026) \tabularnewline
PS;Wb & -0.2227 & -0.4751 & -0.3082 \tabularnewline
p-value & (0.0819) & (1e-04) & (5e-04) \tabularnewline
PS;Wbr & -0.0554 & -0.4082 & -0.2527 \tabularnewline
p-value & (0.669) & (0.001) & (0.0045) \tabularnewline
PS;Tg & -0.139 & -0.4703 & -0.3228 \tabularnewline
p-value & (0.2813) & (1e-04) & (3e-04) \tabularnewline
PS;P & 0.0671 & -0.2648 & -0.2039 \tabularnewline
p-value & (0.6045) & (0.0375) & (0.035) \tabularnewline
PS;S & -0.1289 & -0.5117 & -0.4007 \tabularnewline
p-value & (0.318) & (0) & (0) \tabularnewline
PS;D & 0.0656 & -0.3525 & -0.2826 \tabularnewline
p-value & (0.6125) & (0.005) & (0.0035) \tabularnewline
L;Wb & 0.0792 & 0.7267 & 0.5416 \tabularnewline
p-value & (0.5407) & (0) & (0) \tabularnewline
L;Wbr & 0.1084 & 0.7126 & 0.5669 \tabularnewline
p-value & (0.4017) & (0) & (0) \tabularnewline
L;Tg & 0.2672 & 0.6544 & 0.4772 \tabularnewline
p-value & (0.0358) & (0) & (0) \tabularnewline
L;P & -0.0301 & -0.0651 & -0.0593 \tabularnewline
p-value & (0.8166) & (0.6149) & (0.5332) \tabularnewline
L;S & 0.217 & 0.5509 & 0.4154 \tabularnewline
p-value & (0.0903) & (0) & (0) \tabularnewline
L;D & 0.0707 & 0.1316 & 0.0894 \tabularnewline
p-value & (0.5848) & (0.308) & (0.3484) \tabularnewline
Wb;Wbr & 0.6463 & 0.8675 & 0.7583 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;Tg & 0.3399 & 0.6803 & 0.5069 \tabularnewline
p-value & (0.0069) & (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 & 0.2779 & 0.6967 & 0.5183 \tabularnewline
p-value & (0.0288) & (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 & 0.2668 & 0.1898 & 0.1299 \tabularnewline
p-value & (0.0361) & (0.1395) & (0.1724) \tabularnewline
Tg;S & 0.4527 & 0.619 & 0.499 \tabularnewline
p-value & (2e-04) & (0) & (0) \tabularnewline
Tg;D & 0.3483 & 0.3611 & 0.264 \tabularnewline
p-value & (0.0055) & (0.0039) & (0.0056) \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=114023&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]0.9074[/C][C]0.7668[/C][C]0.5954[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;L[/C][C]0.0097[/C][C]-0.3691[/C][C]-0.2469[/C][/ROW]
[ROW][C]p-value[/C][C](0.9406)[/C][C](0.0032)[/C][C](0.0057)[/C][/ROW]
[ROW][C]SWS;Wb[/C][C]-0.2279[/C][C]-0.5949[/C][C]-0.4229[/C][/ROW]
[ROW][C]p-value[/C][C](0.0749)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Wbr[/C][C]-0.0628[/C][C]-0.5783[/C][C]-0.402[/C][/ROW]
[ROW][C]p-value[/C][C](0.6277)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Tg[/C][C]-0.2178[/C][C]-0.4493[/C][C]-0.3271[/C][/ROW]
[ROW][C]p-value[/C][C](0.089)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.0496[/C][C]-0.1722[/C][C]-0.1359[/C][/ROW]
[ROW][C]p-value[/C][C](0.7017)[/C][C](0.1808)[/C][C](0.1603)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.2488[/C][C]-0.4595[/C][C]-0.363[/C][/ROW]
[ROW][C]p-value[/C][C](0.0512)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SWS;D[/C][C]-0.0683[/C][C]-0.2668[/C][C]-0.2189[/C][/ROW]
[ROW][C]p-value[/C][C](0.5977)[/C][C](0.036)[/C][C](0.024)[/C][/ROW]
[ROW][C]PS;L[/C][C]0.033[/C][C]-0.4284[/C][C]-0.2684[/C][/ROW]
[ROW][C]p-value[/C][C](0.7987)[/C][C](5e-04)[/C][C](0.0026)[/C][/ROW]
[ROW][C]PS;Wb[/C][C]-0.2227[/C][C]-0.4751[/C][C]-0.3082[/C][/ROW]
[ROW][C]p-value[/C][C](0.0819)[/C][C](1e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]PS;Wbr[/C][C]-0.0554[/C][C]-0.4082[/C][C]-0.2527[/C][/ROW]
[ROW][C]p-value[/C][C](0.669)[/C][C](0.001)[/C][C](0.0045)[/C][/ROW]
[ROW][C]PS;Tg[/C][C]-0.139[/C][C]-0.4703[/C][C]-0.3228[/C][/ROW]
[ROW][C]p-value[/C][C](0.2813)[/C][C](1e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]PS;P[/C][C]0.0671[/C][C]-0.2648[/C][C]-0.2039[/C][/ROW]
[ROW][C]p-value[/C][C](0.6045)[/C][C](0.0375)[/C][C](0.035)[/C][/ROW]
[ROW][C]PS;S[/C][C]-0.1289[/C][C]-0.5117[/C][C]-0.4007[/C][/ROW]
[ROW][C]p-value[/C][C](0.318)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;D[/C][C]0.0656[/C][C]-0.3525[/C][C]-0.2826[/C][/ROW]
[ROW][C]p-value[/C][C](0.6125)[/C][C](0.005)[/C][C](0.0035)[/C][/ROW]
[ROW][C]L;Wb[/C][C]0.0792[/C][C]0.7267[/C][C]0.5416[/C][/ROW]
[ROW][C]p-value[/C][C](0.5407)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wbr[/C][C]0.1084[/C][C]0.7126[/C][C]0.5669[/C][/ROW]
[ROW][C]p-value[/C][C](0.4017)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Tg[/C][C]0.2672[/C][C]0.6544[/C][C]0.4772[/C][/ROW]
[ROW][C]p-value[/C][C](0.0358)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;P[/C][C]-0.0301[/C][C]-0.0651[/C][C]-0.0593[/C][/ROW]
[ROW][C]p-value[/C][C](0.8166)[/C][C](0.6149)[/C][C](0.5332)[/C][/ROW]
[ROW][C]L;S[/C][C]0.217[/C][C]0.5509[/C][C]0.4154[/C][/ROW]
[ROW][C]p-value[/C][C](0.0903)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;D[/C][C]0.0707[/C][C]0.1316[/C][C]0.0894[/C][/ROW]
[ROW][C]p-value[/C][C](0.5848)[/C][C](0.308)[/C][C](0.3484)[/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]0.3399[/C][C]0.6803[/C][C]0.5069[/C][/ROW]
[ROW][C]p-value[/C][C](0.0069)[/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]0.2779[/C][C]0.6967[/C][C]0.5183[/C][/ROW]
[ROW][C]p-value[/C][C](0.0288)[/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]0.2668[/C][C]0.1898[/C][C]0.1299[/C][/ROW]
[ROW][C]p-value[/C][C](0.0361)[/C][C](0.1395)[/C][C](0.1724)[/C][/ROW]
[ROW][C]Tg;S[/C][C]0.4527[/C][C]0.619[/C][C]0.499[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Tg;D[/C][C]0.3483[/C][C]0.3611[/C][C]0.264[/C][/ROW]
[ROW][C]p-value[/C][C](0.0055)[/C][C](0.0039)[/C][C](0.0056)[/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=114023&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114023&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	0.9074	0.7668	0.5954
p-value	(0)	(0)	(0)
SWS;L	0.0097	-0.3691	-0.2469
p-value	(0.9406)	(0.0032)	(0.0057)
SWS;Wb	-0.2279	-0.5949	-0.4229
p-value	(0.0749)	(0)	(0)
SWS;Wbr	-0.0628	-0.5783	-0.402
p-value	(0.6277)	(0)	(0)
SWS;Tg	-0.2178	-0.4493	-0.3271
p-value	(0.089)	(2e-04)	(2e-04)
SWS;P	-0.0496	-0.1722	-0.1359
p-value	(0.7017)	(0.1808)	(0.1603)
SWS;S	-0.2488	-0.4595	-0.363
p-value	(0.0512)	(2e-04)	(2e-04)
SWS;D	-0.0683	-0.2668	-0.2189
p-value	(0.5977)	(0.036)	(0.024)
PS;L	0.033	-0.4284	-0.2684
p-value	(0.7987)	(5e-04)	(0.0026)
PS;Wb	-0.2227	-0.4751	-0.3082
p-value	(0.0819)	(1e-04)	(5e-04)
PS;Wbr	-0.0554	-0.4082	-0.2527
p-value	(0.669)	(0.001)	(0.0045)
PS;Tg	-0.139	-0.4703	-0.3228
p-value	(0.2813)	(1e-04)	(3e-04)
PS;P	0.0671	-0.2648	-0.2039
p-value	(0.6045)	(0.0375)	(0.035)
PS;S	-0.1289	-0.5117	-0.4007
p-value	(0.318)	(0)	(0)
PS;D	0.0656	-0.3525	-0.2826
p-value	(0.6125)	(0.005)	(0.0035)
L;Wb	0.0792	0.7267	0.5416
p-value	(0.5407)	(0)	(0)
L;Wbr	0.1084	0.7126	0.5669
p-value	(0.4017)	(0)	(0)
L;Tg	0.2672	0.6544	0.4772
p-value	(0.0358)	(0)	(0)
L;P	-0.0301	-0.0651	-0.0593
p-value	(0.8166)	(0.6149)	(0.5332)
L;S	0.217	0.5509	0.4154
p-value	(0.0903)	(0)	(0)
L;D	0.0707	0.1316	0.0894
p-value	(0.5848)	(0.308)	(0.3484)
Wb;Wbr	0.6463	0.8675	0.7583
p-value	(0)	(0)	(0)
Wb;Tg	0.3399	0.6803	0.5069
p-value	(0.0069)	(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	0.2779	0.6967	0.5183
p-value	(0.0288)	(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	0.2668	0.1898	0.1299
p-value	(0.0361)	(0.1395)	(0.1724)
Tg;S	0.4527	0.619	0.499
p-value	(2e-04)	(0)	(0)
Tg;D	0.3483	0.3611	0.264
p-value	(0.0055)	(0.0039)	(0.0056)
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