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R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 20 Dec 2010 19:38:29 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/20/t1292873807khvp1l27h36jwb0.htm/, Retrieved Fri, 03 May 2024 16:17:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113084, Retrieved Fri, 03 May 2024 16:17:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122
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]
-   PD      [Kendall tau Correlation Matrix] [] [2010-12-20 19:38:29] [9d4f9c24554023ef0148ede5dd3a4d11] [Current]
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Dataseries X:
6654.00	5712.00	-999.00	-999.00	3.30	38.60	645.00	3.00	3.00	5.00
1.00	6.60	6.30	2.00	8.30	4.50	42.00	3.00	1.00	3.00
3.39	44.50	-999.00	-999.00	12.50	14.00	60.00	1.00	1.00	1.00
0.92	5.70	-999.00	-999.00	16.50	-999.00	25.00	5.00	2.00	4.00
2547.00	4603.00	2.10	1.80	3.90	69.00	624.00	3.00	5.00	1.00
10.55	179.50	9.10	0.70	9.80	27.00	180.00	4.00	4.00	4.00
0.02	0.30	15.80	3.90	19.70	19.00	35.00	1.00	1.00	1.00
160.00	169.00	5.20	1.00	6.20	30.40	392.00	4.00	5.00	4.00
3.30	25.60	10.90	3.60	14.50	28.00	63.00	1.00	2.00	1.00
52.16	440.00	8.30	1.40	9.70	50.00	230.00	1.00	1.00	3.00
0.43	6.40	11.00	1.50	12.50	7.00	112.00	5.00	4.00	4.00
465.00	423.00	3.20	0.70	3.90	30.00	281.00	5.00	5.00	5.00
0.55	2.40	7.60	2.70	10.30	-999.00	-999.00	2.00	1.00	2.00
187.10	419.00	-999.00	-999.00	3.10	40.00	365.00	5.00	5.00	5.00
0.08	1.20	6.30	2.10	8.40	3.50	42.00	1.00	1.00	1.00
3.00	25.00	8.60	0.00	8.60	50.00	28.00	2.00	2.00	2.00
0.79	3.50	6.60	4.10	10.70	6.00	42.00	2.00	2.00	2.00
0.20	5.00	9.50	1.20	10.70	10.40	120.00	2.00	2.00	2.00
1.41	17.50	4.80	1.30	6.10	34.00	-999.00	1.00	2.00	1.00
60.00	81.00	12.00	6.10	18.10	7.00	-999.00	1.00	1.00	1.00
529.00	680.00	-999.00	0.30	-999.00	28.00	400.00	5.00	5.00	5.00
27.66	115.00	3.30	0.50	3.80	20.00	148.00	5.00	5.00	5.00
0.12	1.00	11.00	3.40	14.40	3.90	16.00	3.00	1.00	2.00
207.00	406.00	-999.00	-999.00	12.00	39.30	252.00	1.00	4.00	1.00
85.00	325.00	4.70	1.50	6.20	41.00	310.00	1.00	3.00	1.00
36.33	119.50	-999.00	-999.00	13.00	16.20	63.00	1.00	1.00	1.00
0.10	4.00	10.40	3.40	13.80	9.00	28.00	5.00	1.00	3.00
1.04	5.50	7.40	0.80	8.20	7.60	68.00	5.00	3.00	4.00
521.00	655.00	2.10	0.80	2.90	46.00	336.00	5.00	5.00	5.00
100.00	157.00	-999.00	-999.00	10.80	22.40	100.00	1.00	1.00	1.00
35.00	56.00	-999.00	-999.00	-999.00	16.30	33.00	3.00	5.00	4.00
0.01	0.14	7.70	1.40	9.10	2.60	21.50	5.00	2.00	4.00
0.01	0.25	17.90	2.00	19.90	24.00	50.00	1.00	1.00	1.00
62.00	1320.00	6.10	1.90	8.00	1000.00	267.00	1.00	1.00	1.00
0.12	3.00	8.20	2.40	10.60	-999.00	30.00	2.00	1.00	1.00
1.35	8.10	8.40	2.80	11.20	-999.00	45.00	3.00	1.00	3.00
0.02	0.40	11.90	1.30	13.20	3.20	19.00	4.00	1.00	3.00
0.05	0.33	10.80	2.00	12.80	2.00	30.00	4.00	1.00	3.00
1.70	6.30	13.80	5.60	19.40	5.00	12.00	2.00	1.00	1.00
3.50	10.80	14.30	3.10	17.40	6.50	120.00	2.00	1.00	1.00
250.00	490.00	-999.00	1.00	-999.00	23.60	440.00	5.00	5.00	5.00
0.48	15.50	15.20	1.80	17.00	12.00	140.00	2.00	2.00	2.00
10.00	115.00	10.00	0.90	10.90	20.20	170.00	4.00	4.00	4.00
1.62	11.40	11.90	1.80	13.70	13.00	17.00	2.00	1.00	2.00
192.00	180.00	6.50	1.90	8.40	24.00	115.00	4.00	4.00	4.00
2.50	12.10	7.50	0.90	8.40	18.00	31.00	5.00	5.00	5.00
4.29	39.20	-999.00	-999.00	12.50	13.70	63.00	2.00	2.00	2.00
0.28	1.90	10.60	2.60	13.20	4.70	21.00	3.00	1.00	3.00
4.24	50.40	7.40	2.40	9.80	9.80	52.00	1.00	1.00	1.00
6.80	179.00	8.40	1.20	9.60	29.00	164.00	2.00	3.00	2.00
0.75	12.30	5.70	0.90	6.60	7.00	225.00	2.00	2.00	2.00
3.60	21.00	4.90	0.50	5.40	6.00	225.00	3.00	2.00	3.00
14.83	98.20	-999.00	-999.00	2.60	17.00	150.00	5.00	5.00	5.00
55.50	175.00	3.20	0.60	3.80	20.00	151.00	5.00	5.00	5.00
1.40	12.50	-999.00	-999.00	11.00	12.70	90.00	2.00	2.00	2.00
0.06	1.00	8.10	2.20	10.30	3.50	-999.00	3.00	1.00	2.00
0.90	2.60	11.00	2.30	13.30	4.50	60.00	2.00	1.00	2.00
2.00	12.30	4.90	0.50	5.40	7.50	200.00	3.00	1.00	3.00
0.01	2.50	13.20	2.60	15.80	2.30	46.00	3.00	2.00	2.00
4.19	58.00	9.70	0.60	10.30	24.00	210.00	4.00	3.00	4.00
3.50	3.90	12.80	6.60	19.40	3.00	14.00	2.00	1.00	1.00
4.05	17.00	-999.00	-999.00	-999.00	13.00	38.00	3.00	1.00	1.00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=113084&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=113084&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113084&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Correlations for all pairs of data series (method=pearson)
WbWbrSWSPSTSLtgPSD
Wb10.934-0.228-0.223-0.0070.0620.340.0590.1960.197
Wbr0.9341-0.181-0.163-0.0140.1590.40.0340.2540.118
SWS-0.228-0.18110.9070.4880.036-0.218-0.05-0.216-0.134
PS-0.223-0.1630.90710.2050.054-0.1390.067-0.089-0.009
TS-0.007-0.0140.4880.2051-0.05-0.138-0.209-0.282-0.208
L0.0620.1590.0360.054-0.0510.269-0.0920.144-0.033
tg0.340.4-0.218-0.139-0.1380.26910.2670.4240.333
P0.0590.034-0.050.067-0.209-0.0920.26710.6290.884
S0.1960.254-0.216-0.089-0.2820.1440.4240.62910.712
D 0.1970.118-0.134-0.009-0.208-0.0330.3330.8840.7121

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Wb & Wbr & SWS & PS & TS & L & tg & P & S & D
 \tabularnewline
Wb & 1 & 0.934 & -0.228 & -0.223 & -0.007 & 0.062 & 0.34 & 0.059 & 0.196 & 0.197 \tabularnewline
Wbr & 0.934 & 1 & -0.181 & -0.163 & -0.014 & 0.159 & 0.4 & 0.034 & 0.254 & 0.118 \tabularnewline
SWS & -0.228 & -0.181 & 1 & 0.907 & 0.488 & 0.036 & -0.218 & -0.05 & -0.216 & -0.134 \tabularnewline
PS & -0.223 & -0.163 & 0.907 & 1 & 0.205 & 0.054 & -0.139 & 0.067 & -0.089 & -0.009 \tabularnewline
TS & -0.007 & -0.014 & 0.488 & 0.205 & 1 & -0.05 & -0.138 & -0.209 & -0.282 & -0.208 \tabularnewline
L & 0.062 & 0.159 & 0.036 & 0.054 & -0.05 & 1 & 0.269 & -0.092 & 0.144 & -0.033 \tabularnewline
tg & 0.34 & 0.4 & -0.218 & -0.139 & -0.138 & 0.269 & 1 & 0.267 & 0.424 & 0.333 \tabularnewline
P & 0.059 & 0.034 & -0.05 & 0.067 & -0.209 & -0.092 & 0.267 & 1 & 0.629 & 0.884 \tabularnewline
S & 0.196 & 0.254 & -0.216 & -0.089 & -0.282 & 0.144 & 0.424 & 0.629 & 1 & 0.712 \tabularnewline
D
 & 0.197 & 0.118 & -0.134 & -0.009 & -0.208 & -0.033 & 0.333 & 0.884 & 0.712 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113084&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Wb[/C][C]Wbr[/C][C]SWS[/C][C]PS[/C][C]TS[/C][C]L[/C][C]tg[/C][C]P[/C][C]S[/C][C]D
[/C][/ROW]
[ROW][C]Wb[/C][C]1[/C][C]0.934[/C][C]-0.228[/C][C]-0.223[/C][C]-0.007[/C][C]0.062[/C][C]0.34[/C][C]0.059[/C][C]0.196[/C][C]0.197[/C][/ROW]
[ROW][C]Wbr[/C][C]0.934[/C][C]1[/C][C]-0.181[/C][C]-0.163[/C][C]-0.014[/C][C]0.159[/C][C]0.4[/C][C]0.034[/C][C]0.254[/C][C]0.118[/C][/ROW]
[ROW][C]SWS[/C][C]-0.228[/C][C]-0.181[/C][C]1[/C][C]0.907[/C][C]0.488[/C][C]0.036[/C][C]-0.218[/C][C]-0.05[/C][C]-0.216[/C][C]-0.134[/C][/ROW]
[ROW][C]PS[/C][C]-0.223[/C][C]-0.163[/C][C]0.907[/C][C]1[/C][C]0.205[/C][C]0.054[/C][C]-0.139[/C][C]0.067[/C][C]-0.089[/C][C]-0.009[/C][/ROW]
[ROW][C]TS[/C][C]-0.007[/C][C]-0.014[/C][C]0.488[/C][C]0.205[/C][C]1[/C][C]-0.05[/C][C]-0.138[/C][C]-0.209[/C][C]-0.282[/C][C]-0.208[/C][/ROW]
[ROW][C]L[/C][C]0.062[/C][C]0.159[/C][C]0.036[/C][C]0.054[/C][C]-0.05[/C][C]1[/C][C]0.269[/C][C]-0.092[/C][C]0.144[/C][C]-0.033[/C][/ROW]
[ROW][C]tg[/C][C]0.34[/C][C]0.4[/C][C]-0.218[/C][C]-0.139[/C][C]-0.138[/C][C]0.269[/C][C]1[/C][C]0.267[/C][C]0.424[/C][C]0.333[/C][/ROW]
[ROW][C]P[/C][C]0.059[/C][C]0.034[/C][C]-0.05[/C][C]0.067[/C][C]-0.209[/C][C]-0.092[/C][C]0.267[/C][C]1[/C][C]0.629[/C][C]0.884[/C][/ROW]
[ROW][C]S[/C][C]0.196[/C][C]0.254[/C][C]-0.216[/C][C]-0.089[/C][C]-0.282[/C][C]0.144[/C][C]0.424[/C][C]0.629[/C][C]1[/C][C]0.712[/C][/ROW]
[ROW][C]D
[/C][C]0.197[/C][C]0.118[/C][C]-0.134[/C][C]-0.009[/C][C]-0.208[/C][C]-0.033[/C][C]0.333[/C][C]0.884[/C][C]0.712[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113084&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113084&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)
WbWbrSWSPSTSLtgPSD
Wb10.934-0.228-0.223-0.0070.0620.340.0590.1960.197
Wbr0.9341-0.181-0.163-0.0140.1590.40.0340.2540.118
SWS-0.228-0.18110.9070.4880.036-0.218-0.05-0.216-0.134
PS-0.223-0.1630.90710.2050.054-0.1390.067-0.089-0.009
TS-0.007-0.0140.4880.2051-0.05-0.138-0.209-0.282-0.208
L0.0620.1590.0360.054-0.0510.269-0.0920.144-0.033
tg0.340.4-0.218-0.139-0.1380.26910.2670.4240.333
P0.0590.034-0.050.067-0.209-0.0920.26710.6290.884
S0.1960.254-0.216-0.089-0.2820.1440.4240.62910.712
D 0.1970.118-0.134-0.009-0.208-0.0330.3330.8840.7121







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Wb;Wbr0.93420.95170.828
p-value(0)(0)(0)
Wb;SWS-0.2279-0.5986-0.4268
p-value(0.0749)(0)(0)
Wb;PS-0.2227-0.477-0.3121
p-value(0.0819)(1e-04)(5e-04)
Wb;TS-0.0071-0.5574-0.389
p-value(0.956)(0)(0)
Wb;L0.06240.72830.5451
p-value(0.6302)(0)(0)
Wb;tg0.33990.67680.5012
p-value(0.0069)(0)(0)
Wb;P0.05950.09430.0615
p-value(0.646)(0.466)(0.517)
Wb;S0.19560.55270.4309
p-value(0.1276)(0)(0)
Wb;D 0.19730.23820.1759
p-value(0.1242)(0.0623)(0.0643)
Wbr;SWS-0.1813-0.5871-0.4183
p-value(0.1585)(0)(0)
Wbr;PS-0.1634-0.5193-0.3276
p-value(0.2044)(0)(2e-04)
Wbr;TS-0.0142-0.5807-0.402
p-value(0.9127)(0)(0)
Wbr;L0.15910.80810.6442
p-value(0.2168)(0)(0)
Wbr;tg0.39990.76190.5704
p-value(0.0013)(0)(0)
Wbr;P0.03390.07340.0396
p-value(0.7939)(0.5708)(0.6764)
Wbr;S0.25380.58840.4666
p-value(0.0466)(0)(0)
Wbr;D 0.11810.25230.1822
p-value(0.3606)(0.0479)(0.0551)
SWS;PS0.90740.76680.5954
p-value(0)(0)(0)
SWS;TS0.48750.70540.636
p-value(1e-04)(0)(0)
SWS;L0.0359-0.3676-0.2453
p-value(0.782)(0.0033)(0.006)
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-0.2157-0.4466-0.3498
p-value(0.0922)(3e-04)(4e-04)
SWS;D -0.1337-0.2591-0.2177
p-value(0.3001)(0.042)(0.0248)
PS;TS0.20550.54130.4193
p-value(0.1091)(0)(0)
PS;L0.0544-0.4294-0.269
p-value(0.6748)(5e-04)(0.0026)
PS;tg-0.139-0.4703-0.3228
p-value(0.2813)(1e-04)(3e-04)
PS;P0.0671-0.2648-0.2039
p-value(0.6045)(0.0375)(0.035)
PS;S-0.0894-0.4999-0.3862
p-value(0.4896)(0)(1e-04)
PS;D -0.0089-0.3943-0.3215
p-value(0.9455)(0.0015)(9e-04)
TS;L-0.0504-0.4557-0.3005
p-value(0.6974)(2e-04)(6e-04)
TS;tg-0.1382-0.5426-0.3987
p-value(0.284)(0)(0)
TS;P-0.2092-0.4035-0.3053
p-value(0.1027)(0.0011)(0.0014)
TS;S-0.2818-0.6014-0.4765
p-value(0.0265)(0)(0)
TS;D -0.2078-0.4983-0.3957
p-value(0.1051)(0)(0)
L;tg0.26940.65460.4778
p-value(0.0343)(0)(0)
L;P-0.0923-0.0661-0.0599
p-value(0.4754)(0.6097)(0.5291)
L;S0.14450.54270.4044
p-value(0.2626)(0)(0)
L;D -0.03310.11970.0835
p-value(0.7983)(0.3541)(0.3815)
tg;P0.26680.18980.1299
p-value(0.0361)(0.1395)(0.1724)
tg;S0.42420.60690.4814
p-value(6e-04)(0)(0)
tg;D 0.33270.34680.264
p-value(0.0082)(0.0058)(0.0056)
P;S0.62940.57230.479
p-value(0)(0)(0)
P;D 0.88370.87450.802
p-value(0)(0)(0)
S;D 0.71210.64640.5625
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
Wb;Wbr & 0.9342 & 0.9517 & 0.828 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;SWS & -0.2279 & -0.5986 & -0.4268 \tabularnewline
p-value & (0.0749) & (0) & (0) \tabularnewline
Wb;PS & -0.2227 & -0.477 & -0.3121 \tabularnewline
p-value & (0.0819) & (1e-04) & (5e-04) \tabularnewline
Wb;TS & -0.0071 & -0.5574 & -0.389 \tabularnewline
p-value & (0.956) & (0) & (0) \tabularnewline
Wb;L & 0.0624 & 0.7283 & 0.5451 \tabularnewline
p-value & (0.6302) & (0) & (0) \tabularnewline
Wb;tg & 0.3399 & 0.6768 & 0.5012 \tabularnewline
p-value & (0.0069) & (0) & (0) \tabularnewline
Wb;P & 0.0595 & 0.0943 & 0.0615 \tabularnewline
p-value & (0.646) & (0.466) & (0.517) \tabularnewline
Wb;S & 0.1956 & 0.5527 & 0.4309 \tabularnewline
p-value & (0.1276) & (0) & (0) \tabularnewline
Wb;D
 & 0.1973 & 0.2382 & 0.1759 \tabularnewline
p-value & (0.1242) & (0.0623) & (0.0643) \tabularnewline
Wbr;SWS & -0.1813 & -0.5871 & -0.4183 \tabularnewline
p-value & (0.1585) & (0) & (0) \tabularnewline
Wbr;PS & -0.1634 & -0.5193 & -0.3276 \tabularnewline
p-value & (0.2044) & (0) & (2e-04) \tabularnewline
Wbr;TS & -0.0142 & -0.5807 & -0.402 \tabularnewline
p-value & (0.9127) & (0) & (0) \tabularnewline
Wbr;L & 0.1591 & 0.8081 & 0.6442 \tabularnewline
p-value & (0.2168) & (0) & (0) \tabularnewline
Wbr;tg & 0.3999 & 0.7619 & 0.5704 \tabularnewline
p-value & (0.0013) & (0) & (0) \tabularnewline
Wbr;P & 0.0339 & 0.0734 & 0.0396 \tabularnewline
p-value & (0.7939) & (0.5708) & (0.6764) \tabularnewline
Wbr;S & 0.2538 & 0.5884 & 0.4666 \tabularnewline
p-value & (0.0466) & (0) & (0) \tabularnewline
Wbr;D
 & 0.1181 & 0.2523 & 0.1822 \tabularnewline
p-value & (0.3606) & (0.0479) & (0.0551) \tabularnewline
SWS;PS & 0.9074 & 0.7668 & 0.5954 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;TS & 0.4875 & 0.7054 & 0.636 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
SWS;L & 0.0359 & -0.3676 & -0.2453 \tabularnewline
p-value & (0.782) & (0.0033) & (0.006) \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 & -0.2157 & -0.4466 & -0.3498 \tabularnewline
p-value & (0.0922) & (3e-04) & (4e-04) \tabularnewline
SWS;D
 & -0.1337 & -0.2591 & -0.2177 \tabularnewline
p-value & (0.3001) & (0.042) & (0.0248) \tabularnewline
PS;TS & 0.2055 & 0.5413 & 0.4193 \tabularnewline
p-value & (0.1091) & (0) & (0) \tabularnewline
PS;L & 0.0544 & -0.4294 & -0.269 \tabularnewline
p-value & (0.6748) & (5e-04) & (0.0026) \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 & -0.0894 & -0.4999 & -0.3862 \tabularnewline
p-value & (0.4896) & (0) & (1e-04) \tabularnewline
PS;D
 & -0.0089 & -0.3943 & -0.3215 \tabularnewline
p-value & (0.9455) & (0.0015) & (9e-04) \tabularnewline
TS;L & -0.0504 & -0.4557 & -0.3005 \tabularnewline
p-value & (0.6974) & (2e-04) & (6e-04) \tabularnewline
TS;tg & -0.1382 & -0.5426 & -0.3987 \tabularnewline
p-value & (0.284) & (0) & (0) \tabularnewline
TS;P & -0.2092 & -0.4035 & -0.3053 \tabularnewline
p-value & (0.1027) & (0.0011) & (0.0014) \tabularnewline
TS;S & -0.2818 & -0.6014 & -0.4765 \tabularnewline
p-value & (0.0265) & (0) & (0) \tabularnewline
TS;D
 & -0.2078 & -0.4983 & -0.3957 \tabularnewline
p-value & (0.1051) & (0) & (0) \tabularnewline
L;tg & 0.2694 & 0.6546 & 0.4778 \tabularnewline
p-value & (0.0343) & (0) & (0) \tabularnewline
L;P & -0.0923 & -0.0661 & -0.0599 \tabularnewline
p-value & (0.4754) & (0.6097) & (0.5291) \tabularnewline
L;S & 0.1445 & 0.5427 & 0.4044 \tabularnewline
p-value & (0.2626) & (0) & (0) \tabularnewline
L;D
 & -0.0331 & 0.1197 & 0.0835 \tabularnewline
p-value & (0.7983) & (0.3541) & (0.3815) \tabularnewline
tg;P & 0.2668 & 0.1898 & 0.1299 \tabularnewline
p-value & (0.0361) & (0.1395) & (0.1724) \tabularnewline
tg;S & 0.4242 & 0.6069 & 0.4814 \tabularnewline
p-value & (6e-04) & (0) & (0) \tabularnewline
tg;D
 & 0.3327 & 0.3468 & 0.264 \tabularnewline
p-value & (0.0082) & (0.0058) & (0.0056) \tabularnewline
P;S & 0.6294 & 0.5723 & 0.479 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;D
 & 0.8837 & 0.8745 & 0.802 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
S;D
 & 0.7121 & 0.6464 & 0.5625 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113084&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]Wb;Wbr[/C][C]0.9342[/C][C]0.9517[/C][C]0.828[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;SWS[/C][C]-0.2279[/C][C]-0.5986[/C][C]-0.4268[/C][/ROW]
[ROW][C]p-value[/C][C](0.0749)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;PS[/C][C]-0.2227[/C][C]-0.477[/C][C]-0.3121[/C][/ROW]
[ROW][C]p-value[/C][C](0.0819)[/C][C](1e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]Wb;TS[/C][C]-0.0071[/C][C]-0.5574[/C][C]-0.389[/C][/ROW]
[ROW][C]p-value[/C][C](0.956)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;L[/C][C]0.0624[/C][C]0.7283[/C][C]0.5451[/C][/ROW]
[ROW][C]p-value[/C][C](0.6302)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;tg[/C][C]0.3399[/C][C]0.6768[/C][C]0.5012[/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]0.0943[/C][C]0.0615[/C][/ROW]
[ROW][C]p-value[/C][C](0.646)[/C][C](0.466)[/C][C](0.517)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.1956[/C][C]0.5527[/C][C]0.4309[/C][/ROW]
[ROW][C]p-value[/C][C](0.1276)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;D
[/C][C]0.1973[/C][C]0.2382[/C][C]0.1759[/C][/ROW]
[ROW][C]p-value[/C][C](0.1242)[/C][C](0.0623)[/C][C](0.0643)[/C][/ROW]
[ROW][C]Wbr;SWS[/C][C]-0.1813[/C][C]-0.5871[/C][C]-0.4183[/C][/ROW]
[ROW][C]p-value[/C][C](0.1585)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;PS[/C][C]-0.1634[/C][C]-0.5193[/C][C]-0.3276[/C][/ROW]
[ROW][C]p-value[/C][C](0.2044)[/C][C](0)[/C][C](2e-04)[/C][/ROW]
[ROW][C]Wbr;TS[/C][C]-0.0142[/C][C]-0.5807[/C][C]-0.402[/C][/ROW]
[ROW][C]p-value[/C][C](0.9127)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;L[/C][C]0.1591[/C][C]0.8081[/C][C]0.6442[/C][/ROW]
[ROW][C]p-value[/C][C](0.2168)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;tg[/C][C]0.3999[/C][C]0.7619[/C][C]0.5704[/C][/ROW]
[ROW][C]p-value[/C][C](0.0013)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;P[/C][C]0.0339[/C][C]0.0734[/C][C]0.0396[/C][/ROW]
[ROW][C]p-value[/C][C](0.7939)[/C][C](0.5708)[/C][C](0.6764)[/C][/ROW]
[ROW][C]Wbr;S[/C][C]0.2538[/C][C]0.5884[/C][C]0.4666[/C][/ROW]
[ROW][C]p-value[/C][C](0.0466)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;D
[/C][C]0.1181[/C][C]0.2523[/C][C]0.1822[/C][/ROW]
[ROW][C]p-value[/C][C](0.3606)[/C][C](0.0479)[/C][C](0.0551)[/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;TS[/C][C]0.4875[/C][C]0.7054[/C][C]0.636[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;L[/C][C]0.0359[/C][C]-0.3676[/C][C]-0.2453[/C][/ROW]
[ROW][C]p-value[/C][C](0.782)[/C][C](0.0033)[/C][C](0.006)[/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]-0.2157[/C][C]-0.4466[/C][C]-0.3498[/C][/ROW]
[ROW][C]p-value[/C][C](0.0922)[/C][C](3e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]SWS;D
[/C][C]-0.1337[/C][C]-0.2591[/C][C]-0.2177[/C][/ROW]
[ROW][C]p-value[/C][C](0.3001)[/C][C](0.042)[/C][C](0.0248)[/C][/ROW]
[ROW][C]PS;TS[/C][C]0.2055[/C][C]0.5413[/C][C]0.4193[/C][/ROW]
[ROW][C]p-value[/C][C](0.1091)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;L[/C][C]0.0544[/C][C]-0.4294[/C][C]-0.269[/C][/ROW]
[ROW][C]p-value[/C][C](0.6748)[/C][C](5e-04)[/C][C](0.0026)[/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]-0.0894[/C][C]-0.4999[/C][C]-0.3862[/C][/ROW]
[ROW][C]p-value[/C][C](0.4896)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PS;D
[/C][C]-0.0089[/C][C]-0.3943[/C][C]-0.3215[/C][/ROW]
[ROW][C]p-value[/C][C](0.9455)[/C][C](0.0015)[/C][C](9e-04)[/C][/ROW]
[ROW][C]TS;L[/C][C]-0.0504[/C][C]-0.4557[/C][C]-0.3005[/C][/ROW]
[ROW][C]p-value[/C][C](0.6974)[/C][C](2e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]TS;tg[/C][C]-0.1382[/C][C]-0.5426[/C][C]-0.3987[/C][/ROW]
[ROW][C]p-value[/C][C](0.284)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TS;P[/C][C]-0.2092[/C][C]-0.4035[/C][C]-0.3053[/C][/ROW]
[ROW][C]p-value[/C][C](0.1027)[/C][C](0.0011)[/C][C](0.0014)[/C][/ROW]
[ROW][C]TS;S[/C][C]-0.2818[/C][C]-0.6014[/C][C]-0.4765[/C][/ROW]
[ROW][C]p-value[/C][C](0.0265)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TS;D
[/C][C]-0.2078[/C][C]-0.4983[/C][C]-0.3957[/C][/ROW]
[ROW][C]p-value[/C][C](0.1051)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;tg[/C][C]0.2694[/C][C]0.6546[/C][C]0.4778[/C][/ROW]
[ROW][C]p-value[/C][C](0.0343)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;P[/C][C]-0.0923[/C][C]-0.0661[/C][C]-0.0599[/C][/ROW]
[ROW][C]p-value[/C][C](0.4754)[/C][C](0.6097)[/C][C](0.5291)[/C][/ROW]
[ROW][C]L;S[/C][C]0.1445[/C][C]0.5427[/C][C]0.4044[/C][/ROW]
[ROW][C]p-value[/C][C](0.2626)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;D
[/C][C]-0.0331[/C][C]0.1197[/C][C]0.0835[/C][/ROW]
[ROW][C]p-value[/C][C](0.7983)[/C][C](0.3541)[/C][C](0.3815)[/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]0.4242[/C][C]0.6069[/C][C]0.4814[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]tg;D
[/C][C]0.3327[/C][C]0.3468[/C][C]0.264[/C][/ROW]
[ROW][C]p-value[/C][C](0.0082)[/C][C](0.0058)[/C][C](0.0056)[/C][/ROW]
[ROW][C]P;S[/C][C]0.6294[/C][C]0.5723[/C][C]0.479[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;D
[/C][C]0.8837[/C][C]0.8745[/C][C]0.802[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]S;D
[/C][C]0.7121[/C][C]0.6464[/C][C]0.5625[/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=113084&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113084&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
pairPearson rSpearman rhoKendall tau
Wb;Wbr0.93420.95170.828
p-value(0)(0)(0)
Wb;SWS-0.2279-0.5986-0.4268
p-value(0.0749)(0)(0)
Wb;PS-0.2227-0.477-0.3121
p-value(0.0819)(1e-04)(5e-04)
Wb;TS-0.0071-0.5574-0.389
p-value(0.956)(0)(0)
Wb;L0.06240.72830.5451
p-value(0.6302)(0)(0)
Wb;tg0.33990.67680.5012
p-value(0.0069)(0)(0)
Wb;P0.05950.09430.0615
p-value(0.646)(0.466)(0.517)
Wb;S0.19560.55270.4309
p-value(0.1276)(0)(0)
Wb;D 0.19730.23820.1759
p-value(0.1242)(0.0623)(0.0643)
Wbr;SWS-0.1813-0.5871-0.4183
p-value(0.1585)(0)(0)
Wbr;PS-0.1634-0.5193-0.3276
p-value(0.2044)(0)(2e-04)
Wbr;TS-0.0142-0.5807-0.402
p-value(0.9127)(0)(0)
Wbr;L0.15910.80810.6442
p-value(0.2168)(0)(0)
Wbr;tg0.39990.76190.5704
p-value(0.0013)(0)(0)
Wbr;P0.03390.07340.0396
p-value(0.7939)(0.5708)(0.6764)
Wbr;S0.25380.58840.4666
p-value(0.0466)(0)(0)
Wbr;D 0.11810.25230.1822
p-value(0.3606)(0.0479)(0.0551)
SWS;PS0.90740.76680.5954
p-value(0)(0)(0)
SWS;TS0.48750.70540.636
p-value(1e-04)(0)(0)
SWS;L0.0359-0.3676-0.2453
p-value(0.782)(0.0033)(0.006)
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-0.2157-0.4466-0.3498
p-value(0.0922)(3e-04)(4e-04)
SWS;D -0.1337-0.2591-0.2177
p-value(0.3001)(0.042)(0.0248)
PS;TS0.20550.54130.4193
p-value(0.1091)(0)(0)
PS;L0.0544-0.4294-0.269
p-value(0.6748)(5e-04)(0.0026)
PS;tg-0.139-0.4703-0.3228
p-value(0.2813)(1e-04)(3e-04)
PS;P0.0671-0.2648-0.2039
p-value(0.6045)(0.0375)(0.035)
PS;S-0.0894-0.4999-0.3862
p-value(0.4896)(0)(1e-04)
PS;D -0.0089-0.3943-0.3215
p-value(0.9455)(0.0015)(9e-04)
TS;L-0.0504-0.4557-0.3005
p-value(0.6974)(2e-04)(6e-04)
TS;tg-0.1382-0.5426-0.3987
p-value(0.284)(0)(0)
TS;P-0.2092-0.4035-0.3053
p-value(0.1027)(0.0011)(0.0014)
TS;S-0.2818-0.6014-0.4765
p-value(0.0265)(0)(0)
TS;D -0.2078-0.4983-0.3957
p-value(0.1051)(0)(0)
L;tg0.26940.65460.4778
p-value(0.0343)(0)(0)
L;P-0.0923-0.0661-0.0599
p-value(0.4754)(0.6097)(0.5291)
L;S0.14450.54270.4044
p-value(0.2626)(0)(0)
L;D -0.03310.11970.0835
p-value(0.7983)(0.3541)(0.3815)
tg;P0.26680.18980.1299
p-value(0.0361)(0.1395)(0.1724)
tg;S0.42420.60690.4814
p-value(6e-04)(0)(0)
tg;D 0.33270.34680.264
p-value(0.0082)(0.0058)(0.0056)
P;S0.62940.57230.479
p-value(0)(0)(0)
P;D 0.88370.87450.802
p-value(0)(0)(0)
S;D 0.71210.64640.5625
p-value(0)(0)(0)



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')