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R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 09 Dec 2010 13:07:07 +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/09/t1291900072g98kkmol9xbh9uy.htm/, Retrieved Sun, 28 Apr 2024 21:11:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107206, Retrieved Sun, 28 Apr 2024 21:11:31 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [correlatie zonder...] [2010-12-09 13:07:07] [8b27277f7b82c0354d659d066108e38e] [Current]
-    D    [Kendall tau Correlation Matrix] [correlatie met logs] [2010-12-10 11:48:34] [65eb19f81eab2b6e672eafaed2a27190]
-    D    [Kendall tau Correlation Matrix] [Correlaties met log] [2010-12-10 11:52:18] [65eb19f81eab2b6e672eafaed2a27190]
- RM        [Kendall tau Correlation Matrix] [] [2021-01-06 04:46:27] [74be16979710d4c4e7c6647856088456]
- RM        [Kendall tau Correlation Matrix] [] [2021-01-06 04:46:27] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
6,3	2	4,5	1	6,6	42	3	1	3
2,1	1,8	69	2547	4603	624	3	5	4
9,1	0,7	27	10,55	179,5	180	4	4	4
15,8	3,9	19	0,023	0,3	35	1	1	1
5,2	1	30,4	160	169	392	4	5	4
10,9	3,6	28	3,3	25,6	63	1	2	1
8,3	1,4	50	52,16	440	230	1	1	1
11	1,5	7	0,425	6,4	112	5	4	4
3,2	0,7	30	465	423	281	5	5	5
6,3	2,1	3,5	0,075	1,2	42	1	1	1
6,6	4,1	6	0,785	3,5	42	2	2	2
9,5	1,2	10,4	0,2	5	120	2	2	2
3,3	0,5	20	27,66	115	148	5	5	5
11	3,4	3,9	0,12	1	16	3	1	2
4,7	1,5	41	85	325	310	1	3	1
10,4	3,4	9	0,101	4	28	5	1	3
7,4	0,8	7,6	1,04	5,5	68	5	3	4
2,1	0,8	46	521	655	336	5	5	5
17,9	2	24	0,01	0,25	50	1	1	1
6,1	1,9	100	62	1320	267	1	1	1
11,9	1,3	3,2	0,023	0,4	19	4	1	3
13,8	5,6	5	1,7	6,3	12	2	1	1
14,3	3,1	6,5	3,5	10,8	120	2	1	1
15,2	1,8	12	0,48	15,5	140	2	2	2
10	0,9	20,2	10	115	170	4	4	4
11,9	1,8	13	1,62	11,4	17	2	1	2
6,5	1,9	27	192	180	115	4	4	4
7,5	0,9	18	2,5	12,1	31	5	5	5
10,6	2,6	4,7	0,28	1,9	21	3	1	3
7,4	2,4	9,8	4,235	50,4	52	1	1	1
8,4	1,2	29	6,8	179	164	2	3	2
5,7	0,9	7	0,75	12,3	225	2	2	2
4,9	0,5	6	3,6	21	225	3	2	3
3,2	0,6	20	55,5	175	151	5	5	5
11	2,3	4,5	0,9	2,6	60	2	1	2
4,9	0,5	7,5	2	12,3	200	3	1	3
13,2	2,6	2,3	0,104	2,5	46	3	2	2
9,7	0,6	24	4,19	58	210	4	3	4
12,8	6,6	3	3,5	3,9	14	2	1	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107206&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]5 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=107206&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107206&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 time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Correlations for all pairs of data series (method=pearson)
SWSPSLwbwbrtgPSD
SWS10.53-0.385-0.395-0.388-0.621-0.369-0.58-0.542
PS0.531-0.241-0.088-0.089-0.468-0.434-0.533-0.604
L-0.385-0.24110.4920.6590.691-0.1110.3190.06
wb-0.395-0.0880.49210.9560.7190.110.4020.268
wbr-0.388-0.0890.6590.95610.737-0.0030.3180.159
tg-0.621-0.4680.6910.7190.73710.1320.5660.335
P-0.369-0.434-0.1110.11-0.0030.13210.680.93
S-0.58-0.5330.3190.4020.3180.5660.6810.819
D-0.542-0.6040.060.2680.1590.3350.930.8191

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & SWS & PS & L & wb & wbr & tg & P & S & D \tabularnewline
SWS & 1 & 0.53 & -0.385 & -0.395 & -0.388 & -0.621 & -0.369 & -0.58 & -0.542 \tabularnewline
PS & 0.53 & 1 & -0.241 & -0.088 & -0.089 & -0.468 & -0.434 & -0.533 & -0.604 \tabularnewline
L & -0.385 & -0.241 & 1 & 0.492 & 0.659 & 0.691 & -0.111 & 0.319 & 0.06 \tabularnewline
wb & -0.395 & -0.088 & 0.492 & 1 & 0.956 & 0.719 & 0.11 & 0.402 & 0.268 \tabularnewline
wbr & -0.388 & -0.089 & 0.659 & 0.956 & 1 & 0.737 & -0.003 & 0.318 & 0.159 \tabularnewline
tg & -0.621 & -0.468 & 0.691 & 0.719 & 0.737 & 1 & 0.132 & 0.566 & 0.335 \tabularnewline
P & -0.369 & -0.434 & -0.111 & 0.11 & -0.003 & 0.132 & 1 & 0.68 & 0.93 \tabularnewline
S & -0.58 & -0.533 & 0.319 & 0.402 & 0.318 & 0.566 & 0.68 & 1 & 0.819 \tabularnewline
D & -0.542 & -0.604 & 0.06 & 0.268 & 0.159 & 0.335 & 0.93 & 0.819 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107206&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]SWS[/C][C]PS[/C][C]L[/C][C]wb[/C][C]wbr[/C][C]tg[/C][C]P[/C][C]S[/C][C]D[/C][/ROW]
[ROW][C]SWS[/C][C]1[/C][C]0.53[/C][C]-0.385[/C][C]-0.395[/C][C]-0.388[/C][C]-0.621[/C][C]-0.369[/C][C]-0.58[/C][C]-0.542[/C][/ROW]
[ROW][C]PS[/C][C]0.53[/C][C]1[/C][C]-0.241[/C][C]-0.088[/C][C]-0.089[/C][C]-0.468[/C][C]-0.434[/C][C]-0.533[/C][C]-0.604[/C][/ROW]
[ROW][C]L[/C][C]-0.385[/C][C]-0.241[/C][C]1[/C][C]0.492[/C][C]0.659[/C][C]0.691[/C][C]-0.111[/C][C]0.319[/C][C]0.06[/C][/ROW]
[ROW][C]wb[/C][C]-0.395[/C][C]-0.088[/C][C]0.492[/C][C]1[/C][C]0.956[/C][C]0.719[/C][C]0.11[/C][C]0.402[/C][C]0.268[/C][/ROW]
[ROW][C]wbr[/C][C]-0.388[/C][C]-0.089[/C][C]0.659[/C][C]0.956[/C][C]1[/C][C]0.737[/C][C]-0.003[/C][C]0.318[/C][C]0.159[/C][/ROW]
[ROW][C]tg[/C][C]-0.621[/C][C]-0.468[/C][C]0.691[/C][C]0.719[/C][C]0.737[/C][C]1[/C][C]0.132[/C][C]0.566[/C][C]0.335[/C][/ROW]
[ROW][C]P[/C][C]-0.369[/C][C]-0.434[/C][C]-0.111[/C][C]0.11[/C][C]-0.003[/C][C]0.132[/C][C]1[/C][C]0.68[/C][C]0.93[/C][/ROW]
[ROW][C]S[/C][C]-0.58[/C][C]-0.533[/C][C]0.319[/C][C]0.402[/C][C]0.318[/C][C]0.566[/C][C]0.68[/C][C]1[/C][C]0.819[/C][/ROW]
[ROW][C]D[/C][C]-0.542[/C][C]-0.604[/C][C]0.06[/C][C]0.268[/C][C]0.159[/C][C]0.335[/C][C]0.93[/C][C]0.819[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107206&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107206&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)
SWSPSLwbwbrtgPSD
SWS10.53-0.385-0.395-0.388-0.621-0.369-0.58-0.542
PS0.531-0.241-0.088-0.089-0.468-0.434-0.533-0.604
L-0.385-0.24110.4920.6590.691-0.1110.3190.06
wb-0.395-0.0880.49210.9560.7190.110.4020.268
wbr-0.388-0.0890.6590.95610.737-0.0030.3180.159
tg-0.621-0.4680.6910.7190.73710.1320.5660.335
P-0.369-0.434-0.1110.11-0.0030.13210.680.93
S-0.58-0.5330.3190.4020.3180.5660.6810.819
D-0.542-0.6040.060.2680.1590.3350.930.8191







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
SWS;PS0.52980.59180.4165
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;wb0.49230.70630.5251
p-value(0.0015)(0)(0)
L;wbr0.65940.80330.6499
p-value(0)(0)(0)
L;tg0.69130.71150.533
p-value(0)(0)(0)
L;P-0.11070.0122-0.006
p-value(0.5023)(0.9412)(0.9604)
L;S0.31920.52420.4101
p-value(0.0476)(6e-04)(9e-04)
L;D0.06050.20720.1615
p-value(0.7146)(0.2057)(0.1831)
wb;wbr0.95570.92840.7916
p-value(0)(0)(0)
wb;tg0.7190.70950.5207
p-value(0)(0)(0)
wb;P0.11010.21470.1602
p-value(0.5045)(0.1893)(0.1846)
wb;S0.40240.59540.4811
p-value(0.0111)(1e-04)(1e-04)
wb;D0.26840.36150.274
p-value(0.0985)(0.0238)(0.0236)
wbr;tg0.73690.80820.5993
p-value(0)(0)(0)
wbr;P-0.00340.16750.1257
p-value(0.9835)(0.3082)(0.2976)
wbr;S0.31750.59760.4905
p-value(0.0489)(1e-04)(1e-04)
wbr;D0.15940.34140.2695
p-value(0.3323)(0.0334)(0.026)
tg;P0.13160.11620.075
p-value(0.4247)(0.4813)(0.5352)
tg;S0.56630.57710.4617
p-value(2e-04)(1e-04)(2e-04)
tg;D0.33490.31150.2293
p-value(0.0371)(0.0535)(0.0586)
P;S0.680.61860.5218
p-value(0)(0)(1e-04)
P;D0.93030.93280.876
p-value(0)(0)(0)
S;D0.81920.75330.6591
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=107206&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=107206&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107206&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
SWS;PS0.52980.59180.4165
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;wb0.49230.70630.5251
p-value(0.0015)(0)(0)
L;wbr0.65940.80330.6499
p-value(0)(0)(0)
L;tg0.69130.71150.533
p-value(0)(0)(0)
L;P-0.11070.0122-0.006
p-value(0.5023)(0.9412)(0.9604)
L;S0.31920.52420.4101
p-value(0.0476)(6e-04)(9e-04)
L;D0.06050.20720.1615
p-value(0.7146)(0.2057)(0.1831)
wb;wbr0.95570.92840.7916
p-value(0)(0)(0)
wb;tg0.7190.70950.5207
p-value(0)(0)(0)
wb;P0.11010.21470.1602
p-value(0.5045)(0.1893)(0.1846)
wb;S0.40240.59540.4811
p-value(0.0111)(1e-04)(1e-04)
wb;D0.26840.36150.274
p-value(0.0985)(0.0238)(0.0236)
wbr;tg0.73690.80820.5993
p-value(0)(0)(0)
wbr;P-0.00340.16750.1257
p-value(0.9835)(0.3082)(0.2976)
wbr;S0.31750.59760.4905
p-value(0.0489)(1e-04)(1e-04)
wbr;D0.15940.34140.2695
p-value(0.3323)(0.0334)(0.026)
tg;P0.13160.11620.075
p-value(0.4247)(0.4813)(0.5352)
tg;S0.56630.57710.4617
p-value(2e-04)(1e-04)(2e-04)
tg;D0.33490.31150.2293
p-value(0.0371)(0.0535)(0.0586)
P;S0.680.61860.5218
p-value(0)(0)(1e-04)
P;D0.93030.93280.876
p-value(0)(0)(0)
S;D0.81920.75330.6591
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')