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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 07 Dec 2010 08:57:28 +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/07/t12917121815wmc9bwd9ksruie.htm/, Retrieved Fri, 03 May 2024 15:23:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106034, Retrieved Fri, 03 May 2024 15:23:42 +0000
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User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Artikel Getallen ...] [2010-12-07 08:57:28] [59f7d3e7fcb6374015f4e6b9053b0f01] [Current]
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Dataseries X:
6,00	2,00	4,00	1,00	6,00	42,00	3,00	1,00	3,00
2,00	1,00	69,00	2547,00	4603,00	624,00	3,00	5,00	4,00
9,00	0,00	27,00	10,00	179,00	180,00	4,00	4,00	4,00
15,00	3,00	19,00	0,00	0,00	35,00	1,00	1,00	1,00
5,00	1,00	30,00	160,00	169,00	392,00	4,00	5,00	4,00
10,00	3,00	28,00	3,00	25,00	63,00	1,00	2,00	1,00
8,00	1,00	50,00	52,00	440,00	230,00	1,00	1,00	1,00
11,00	1,00	7,00	0,00	6,00	112,00	5,00	4,00	4,00
3,00	0,00	30,00	465,00	423,00	281,00	5,00	5,00	5,00
6,00	2,00	3,00	0,00	1,00	42,00	1,00	1,00	1,00
6,00	4,00	6,00	0,00	3,00	42,00	2,00	2,00	2,00
9,00	1,00	10,00	0,00	5,00	120,00	2,00	2,00	2,00
3,00	0,00	20,00	27,00	115,00	148,00	5,00	5,00	5,00
11,00	3,00	3,00	0,00	1,00	16,00	3,00	1,00	2,00
4,00	1,00	41,00	85,00	325,00	310,00	1,00	3,00	1,00
10,00	3,00	9,00	0,00	4,00	28,00	5,00	1,00	3,00
7,00	0,00	7,00	1,00	5,00	68,00	5,00	3,00	4,00
2,00	0,00	46,00	521,00	655,00	336,00	5,00	5,00	5,00
17,00	2,00	24,00	0,00	0,00	50,00	1,00	1,00	1,00
6,00	1,00	100,00	62,00	1320,00	267,00	1,00	1,00	1,00
11,00	1,00	3,00	0,00	0,00	19,00	4,00	1,00	3,00
13,00	5,00	5,00	1,00	6,00	12,00	2,00	1,00	1,00
14,00	3,00	6,00	3,00	10,00	120,00	2,00	1,00	1,00
15,00	1,00	12,00	0,00	15,00	140,00	2,00	2,00	2,00
10,00	0,00	20,00	10,00	115,00	170,00	4,00	4,00	4,00
11,00	1,00	13,00	1,00	11,00	17,00	2,00	1,00	2,00
6,00	1,00	27,00	192,00	180,00	115,00	4,00	4,00	4,00
7,00	0,00	18,00	2,00	12,00	31,00	5,00	5,00	5,00
10,00	2,00	4,00	0,00	1,00	21,00	3,00	1,00	3,00
7,00	2,00	9,00	4,00	50,00	52,00	1,00	1,00	1,00
8,00	1,00	29,00	6,00	179,00	164,00	2,00	3,00	2,00
5,00	0,00	7,00	0,00	12,00	225,00	2,00	2,00	2,00
4,00	0,00	6,00	3,00	21,00	225,00	3,00	2,00	3,00
3,00	0,00	20,00	55,00	175,00	151,00	5,00	5,00	5,00
11,00	2,00	4,00	0,00	2,00	60,00	2,00	1,00	2,00
4,00	0,00	7,00	2,00	12,00	200,00	3,00	1,00	3,00
13,00	2,00	2,00	0,00	2,00	46,00	3,00	2,00	2,00
9,00	0,00	24,00	4,00	58,00	210,00	4,00	3,00	4,00
12,00	6,00	3,00	3,00	3,00	14,00	2,00	1,00	1,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106034&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106034&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106034&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Correlations for all pairs of data series (method=spearman)
SWSPSLWbWbrTgPSD
SWS10.581-0.426-0.625-0.64-0.641-0.314-0.551-0.496
PS0.5811-0.431-0.452-0.561-0.646-0.541-0.653-0.7
L-0.426-0.43110.7460.8150.7130.0140.530.21
Wb-0.625-0.4520.74610.9030.6860.2090.5670.343
Wbr-0.64-0.5610.8150.90310.8040.1620.6040.335
Tg-0.641-0.6460.7130.6860.80410.1160.5770.312
P-0.314-0.5410.0140.2090.1620.11610.6190.933
S-0.551-0.6530.530.5670.6040.5770.61910.753
D-0.496-0.70.210.3430.3350.3120.9330.7531

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=spearman) \tabularnewline
  & SWS & PS & L & Wb & Wbr & Tg & P & S & D \tabularnewline
SWS & 1 & 0.581 & -0.426 & -0.625 & -0.64 & -0.641 & -0.314 & -0.551 & -0.496 \tabularnewline
PS & 0.581 & 1 & -0.431 & -0.452 & -0.561 & -0.646 & -0.541 & -0.653 & -0.7 \tabularnewline
L & -0.426 & -0.431 & 1 & 0.746 & 0.815 & 0.713 & 0.014 & 0.53 & 0.21 \tabularnewline
Wb & -0.625 & -0.452 & 0.746 & 1 & 0.903 & 0.686 & 0.209 & 0.567 & 0.343 \tabularnewline
Wbr & -0.64 & -0.561 & 0.815 & 0.903 & 1 & 0.804 & 0.162 & 0.604 & 0.335 \tabularnewline
Tg & -0.641 & -0.646 & 0.713 & 0.686 & 0.804 & 1 & 0.116 & 0.577 & 0.312 \tabularnewline
P & -0.314 & -0.541 & 0.014 & 0.209 & 0.162 & 0.116 & 1 & 0.619 & 0.933 \tabularnewline
S & -0.551 & -0.653 & 0.53 & 0.567 & 0.604 & 0.577 & 0.619 & 1 & 0.753 \tabularnewline
D & -0.496 & -0.7 & 0.21 & 0.343 & 0.335 & 0.312 & 0.933 & 0.753 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106034&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=spearman)[/C][/ROW]
[ROW][C] [/C][C]SWS[/C][C]PS[/C][C]L[/C][C]Wb[/C][C]Wbr[/C][C]Tg[/C][C]P[/C][C]S[/C][C]D[/C][/ROW]
[ROW][C]SWS[/C][C]1[/C][C]0.581[/C][C]-0.426[/C][C]-0.625[/C][C]-0.64[/C][C]-0.641[/C][C]-0.314[/C][C]-0.551[/C][C]-0.496[/C][/ROW]
[ROW][C]PS[/C][C]0.581[/C][C]1[/C][C]-0.431[/C][C]-0.452[/C][C]-0.561[/C][C]-0.646[/C][C]-0.541[/C][C]-0.653[/C][C]-0.7[/C][/ROW]
[ROW][C]L[/C][C]-0.426[/C][C]-0.431[/C][C]1[/C][C]0.746[/C][C]0.815[/C][C]0.713[/C][C]0.014[/C][C]0.53[/C][C]0.21[/C][/ROW]
[ROW][C]Wb[/C][C]-0.625[/C][C]-0.452[/C][C]0.746[/C][C]1[/C][C]0.903[/C][C]0.686[/C][C]0.209[/C][C]0.567[/C][C]0.343[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.64[/C][C]-0.561[/C][C]0.815[/C][C]0.903[/C][C]1[/C][C]0.804[/C][C]0.162[/C][C]0.604[/C][C]0.335[/C][/ROW]
[ROW][C]Tg[/C][C]-0.641[/C][C]-0.646[/C][C]0.713[/C][C]0.686[/C][C]0.804[/C][C]1[/C][C]0.116[/C][C]0.577[/C][C]0.312[/C][/ROW]
[ROW][C]P[/C][C]-0.314[/C][C]-0.541[/C][C]0.014[/C][C]0.209[/C][C]0.162[/C][C]0.116[/C][C]1[/C][C]0.619[/C][C]0.933[/C][/ROW]
[ROW][C]S[/C][C]-0.551[/C][C]-0.653[/C][C]0.53[/C][C]0.567[/C][C]0.604[/C][C]0.577[/C][C]0.619[/C][C]1[/C][C]0.753[/C][/ROW]
[ROW][C]D[/C][C]-0.496[/C][C]-0.7[/C][C]0.21[/C][C]0.343[/C][C]0.335[/C][C]0.312[/C][C]0.933[/C][C]0.753[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106034&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106034&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=spearman)
SWSPSLWbWbrTgPSD
SWS10.581-0.426-0.625-0.64-0.641-0.314-0.551-0.496
PS0.5811-0.431-0.452-0.561-0.646-0.541-0.653-0.7
L-0.426-0.43110.7460.8150.7130.0140.530.21
Wb-0.625-0.4520.74610.9030.6860.2090.5670.343
Wbr-0.64-0.5610.8150.90310.8040.1620.6040.335
Tg-0.641-0.6460.7130.6860.80410.1160.5770.312
P-0.314-0.5410.0140.2090.1620.11610.6190.933
S-0.551-0.6530.530.5670.6040.5770.61910.753
D-0.496-0.70.210.3430.3350.3120.9330.7531







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
SWS;PS0.52130.58060.4503
p-value(7e-04)(1e-04)(3e-04)
SWS;L-0.3693-0.4255-0.307
p-value(0.0207)(0.0069)(0.0082)
SWS;Wb-0.3824-0.6255-0.4882
p-value(0.0163)(0)(1e-04)
SWS;Wbr-0.373-0.6397-0.4797
p-value(0.0193)(0)(0)
SWS;Tg-0.6078-0.641-0.4744
p-value(0)(0)(0)
SWS;P-0.3491-0.3136-0.248
p-value(0.0294)(0.0519)(0.045)
SWS;S-0.5574-0.5512-0.4386
p-value(2e-04)(3e-04)(5e-04)
SWS;D-0.5242-0.4962-0.3997
p-value(6e-04)(0.0013)(0.0013)
PS;L-0.2909-0.4306-0.3047
p-value(0.0724)(0.0062)(0.0137)
PS;Wb-0.1251-0.4523-0.3301
p-value(0.4478)(0.0038)(0.01)
PS;Wbr-0.1321-0.561-0.3911
p-value(0.4229)(2e-04)(0.0015)
PS;Tg-0.4844-0.6464-0.4983
p-value(0.0018)(0)(0)
PS;P-0.4623-0.5413-0.4417
p-value(0.003)(4e-04)(8e-04)
PS;S-0.5724-0.6531-0.5422
p-value(1e-04)(0)(1e-04)
PS;D-0.6364-0.7001-0.5924
p-value(0)(0)(0)
L;Wb0.4920.74620.5843
p-value(0.0015)(0)(0)
L;Wbr0.65850.81550.6833
p-value(0)(0)(0)
L;Tg0.69120.71330.5386
p-value(0)(0)(0)
L;P-0.10890.0143-0.003
p-value(0.5092)(0.9311)(0.9802)
L;S0.32230.53030.4235
p-value(0.0454)(5e-04)(7e-04)
L;D0.06210.20980.1667
p-value(0.7071)(0.1998)(0.1744)
Wb;Wbr0.95570.90270.7861
p-value(0)(0)(0)
Wb;Tg0.71910.68610.5222
p-value(0)(0)(0)
Wb;P0.11020.20880.1647
p-value(0.5043)(0.202)(0.1944)
Wb;S0.40240.56670.4717
p-value(0.0111)(2e-04)(3e-04)
Wb;D0.26840.34320.2696
p-value(0.0985)(0.0324)(0.0342)
Wbr;Tg0.7370.80440.6041
p-value(0)(0)(0)
Wbr;P-0.00330.16160.124
p-value(0.984)(0.3256)(0.3087)
Wbr;S0.31760.60420.4987
p-value(0.0488)(0)(1e-04)
Wbr;D0.15950.33450.2677
p-value(0.332)(0.0374)(0.0284)
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 & 0.5213 & 0.5806 & 0.4503 \tabularnewline
p-value & (7e-04) & (1e-04) & (3e-04) \tabularnewline
SWS;L & -0.3693 & -0.4255 & -0.307 \tabularnewline
p-value & (0.0207) & (0.0069) & (0.0082) \tabularnewline
SWS;Wb & -0.3824 & -0.6255 & -0.4882 \tabularnewline
p-value & (0.0163) & (0) & (1e-04) \tabularnewline
SWS;Wbr & -0.373 & -0.6397 & -0.4797 \tabularnewline
p-value & (0.0193) & (0) & (0) \tabularnewline
SWS;Tg & -0.6078 & -0.641 & -0.4744 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;P & -0.3491 & -0.3136 & -0.248 \tabularnewline
p-value & (0.0294) & (0.0519) & (0.045) \tabularnewline
SWS;S & -0.5574 & -0.5512 & -0.4386 \tabularnewline
p-value & (2e-04) & (3e-04) & (5e-04) \tabularnewline
SWS;D & -0.5242 & -0.4962 & -0.3997 \tabularnewline
p-value & (6e-04) & (0.0013) & (0.0013) \tabularnewline
PS;L & -0.2909 & -0.4306 & -0.3047 \tabularnewline
p-value & (0.0724) & (0.0062) & (0.0137) \tabularnewline
PS;Wb & -0.1251 & -0.4523 & -0.3301 \tabularnewline
p-value & (0.4478) & (0.0038) & (0.01) \tabularnewline
PS;Wbr & -0.1321 & -0.561 & -0.3911 \tabularnewline
p-value & (0.4229) & (2e-04) & (0.0015) \tabularnewline
PS;Tg & -0.4844 & -0.6464 & -0.4983 \tabularnewline
p-value & (0.0018) & (0) & (0) \tabularnewline
PS;P & -0.4623 & -0.5413 & -0.4417 \tabularnewline
p-value & (0.003) & (4e-04) & (8e-04) \tabularnewline
PS;S & -0.5724 & -0.6531 & -0.5422 \tabularnewline
p-value & (1e-04) & (0) & (1e-04) \tabularnewline
PS;D & -0.6364 & -0.7001 & -0.5924 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Wb & 0.492 & 0.7462 & 0.5843 \tabularnewline
p-value & (0.0015) & (0) & (0) \tabularnewline
L;Wbr & 0.6585 & 0.8155 & 0.6833 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;Tg & 0.6912 & 0.7133 & 0.5386 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;P & -0.1089 & 0.0143 & -0.003 \tabularnewline
p-value & (0.5092) & (0.9311) & (0.9802) \tabularnewline
L;S & 0.3223 & 0.5303 & 0.4235 \tabularnewline
p-value & (0.0454) & (5e-04) & (7e-04) \tabularnewline
L;D & 0.0621 & 0.2098 & 0.1667 \tabularnewline
p-value & (0.7071) & (0.1998) & (0.1744) \tabularnewline
Wb;Wbr & 0.9557 & 0.9027 & 0.7861 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;Tg & 0.7191 & 0.6861 & 0.5222 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;P & 0.1102 & 0.2088 & 0.1647 \tabularnewline
p-value & (0.5043) & (0.202) & (0.1944) \tabularnewline
Wb;S & 0.4024 & 0.5667 & 0.4717 \tabularnewline
p-value & (0.0111) & (2e-04) & (3e-04) \tabularnewline
Wb;D & 0.2684 & 0.3432 & 0.2696 \tabularnewline
p-value & (0.0985) & (0.0324) & (0.0342) \tabularnewline
Wbr;Tg & 0.737 & 0.8044 & 0.6041 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wbr;P & -0.0033 & 0.1616 & 0.124 \tabularnewline
p-value & (0.984) & (0.3256) & (0.3087) \tabularnewline
Wbr;S & 0.3176 & 0.6042 & 0.4987 \tabularnewline
p-value & (0.0488) & (0) & (1e-04) \tabularnewline
Wbr;D & 0.1595 & 0.3345 & 0.2677 \tabularnewline
p-value & (0.332) & (0.0374) & (0.0284) \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=106034&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]0.5213[/C][C]0.5806[/C][C]0.4503[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](1e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]SWS;L[/C][C]-0.3693[/C][C]-0.4255[/C][C]-0.307[/C][/ROW]
[ROW][C]p-value[/C][C](0.0207)[/C][C](0.0069)[/C][C](0.0082)[/C][/ROW]
[ROW][C]SWS;Wb[/C][C]-0.3824[/C][C]-0.6255[/C][C]-0.4882[/C][/ROW]
[ROW][C]p-value[/C][C](0.0163)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]SWS;Wbr[/C][C]-0.373[/C][C]-0.6397[/C][C]-0.4797[/C][/ROW]
[ROW][C]p-value[/C][C](0.0193)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;Tg[/C][C]-0.6078[/C][C]-0.641[/C][C]-0.4744[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.3491[/C][C]-0.3136[/C][C]-0.248[/C][/ROW]
[ROW][C]p-value[/C][C](0.0294)[/C][C](0.0519)[/C][C](0.045)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.5574[/C][C]-0.5512[/C][C]-0.4386[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](3e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]SWS;D[/C][C]-0.5242[/C][C]-0.4962[/C][C]-0.3997[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0.0013)[/C][C](0.0013)[/C][/ROW]
[ROW][C]PS;L[/C][C]-0.2909[/C][C]-0.4306[/C][C]-0.3047[/C][/ROW]
[ROW][C]p-value[/C][C](0.0724)[/C][C](0.0062)[/C][C](0.0137)[/C][/ROW]
[ROW][C]PS;Wb[/C][C]-0.1251[/C][C]-0.4523[/C][C]-0.3301[/C][/ROW]
[ROW][C]p-value[/C][C](0.4478)[/C][C](0.0038)[/C][C](0.01)[/C][/ROW]
[ROW][C]PS;Wbr[/C][C]-0.1321[/C][C]-0.561[/C][C]-0.3911[/C][/ROW]
[ROW][C]p-value[/C][C](0.4229)[/C][C](2e-04)[/C][C](0.0015)[/C][/ROW]
[ROW][C]PS;Tg[/C][C]-0.4844[/C][C]-0.6464[/C][C]-0.4983[/C][/ROW]
[ROW][C]p-value[/C][C](0.0018)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;P[/C][C]-0.4623[/C][C]-0.5413[/C][C]-0.4417[/C][/ROW]
[ROW][C]p-value[/C][C](0.003)[/C][C](4e-04)[/C][C](8e-04)[/C][/ROW]
[ROW][C]PS;S[/C][C]-0.5724[/C][C]-0.6531[/C][C]-0.5422[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PS;D[/C][C]-0.6364[/C][C]-0.7001[/C][C]-0.5924[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wb[/C][C]0.492[/C][C]0.7462[/C][C]0.5843[/C][/ROW]
[ROW][C]p-value[/C][C](0.0015)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wbr[/C][C]0.6585[/C][C]0.8155[/C][C]0.6833[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Tg[/C][C]0.6912[/C][C]0.7133[/C][C]0.5386[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;P[/C][C]-0.1089[/C][C]0.0143[/C][C]-0.003[/C][/ROW]
[ROW][C]p-value[/C][C](0.5092)[/C][C](0.9311)[/C][C](0.9802)[/C][/ROW]
[ROW][C]L;S[/C][C]0.3223[/C][C]0.5303[/C][C]0.4235[/C][/ROW]
[ROW][C]p-value[/C][C](0.0454)[/C][C](5e-04)[/C][C](7e-04)[/C][/ROW]
[ROW][C]L;D[/C][C]0.0621[/C][C]0.2098[/C][C]0.1667[/C][/ROW]
[ROW][C]p-value[/C][C](0.7071)[/C][C](0.1998)[/C][C](0.1744)[/C][/ROW]
[ROW][C]Wb;Wbr[/C][C]0.9557[/C][C]0.9027[/C][C]0.7861[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;Tg[/C][C]0.7191[/C][C]0.6861[/C][C]0.5222[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;P[/C][C]0.1102[/C][C]0.2088[/C][C]0.1647[/C][/ROW]
[ROW][C]p-value[/C][C](0.5043)[/C][C](0.202)[/C][C](0.1944)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.4024[/C][C]0.5667[/C][C]0.4717[/C][/ROW]
[ROW][C]p-value[/C][C](0.0111)[/C][C](2e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]Wb;D[/C][C]0.2684[/C][C]0.3432[/C][C]0.2696[/C][/ROW]
[ROW][C]p-value[/C][C](0.0985)[/C][C](0.0324)[/C][C](0.0342)[/C][/ROW]
[ROW][C]Wbr;Tg[/C][C]0.737[/C][C]0.8044[/C][C]0.6041[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;P[/C][C]-0.0033[/C][C]0.1616[/C][C]0.124[/C][/ROW]
[ROW][C]p-value[/C][C](0.984)[/C][C](0.3256)[/C][C](0.3087)[/C][/ROW]
[ROW][C]Wbr;S[/C][C]0.3176[/C][C]0.6042[/C][C]0.4987[/C][/ROW]
[ROW][C]p-value[/C][C](0.0488)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Wbr;D[/C][C]0.1595[/C][C]0.3345[/C][C]0.2677[/C][/ROW]
[ROW][C]p-value[/C][C](0.332)[/C][C](0.0374)[/C][C](0.0284)[/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=106034&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106034&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;PS0.52130.58060.4503
p-value(7e-04)(1e-04)(3e-04)
SWS;L-0.3693-0.4255-0.307
p-value(0.0207)(0.0069)(0.0082)
SWS;Wb-0.3824-0.6255-0.4882
p-value(0.0163)(0)(1e-04)
SWS;Wbr-0.373-0.6397-0.4797
p-value(0.0193)(0)(0)
SWS;Tg-0.6078-0.641-0.4744
p-value(0)(0)(0)
SWS;P-0.3491-0.3136-0.248
p-value(0.0294)(0.0519)(0.045)
SWS;S-0.5574-0.5512-0.4386
p-value(2e-04)(3e-04)(5e-04)
SWS;D-0.5242-0.4962-0.3997
p-value(6e-04)(0.0013)(0.0013)
PS;L-0.2909-0.4306-0.3047
p-value(0.0724)(0.0062)(0.0137)
PS;Wb-0.1251-0.4523-0.3301
p-value(0.4478)(0.0038)(0.01)
PS;Wbr-0.1321-0.561-0.3911
p-value(0.4229)(2e-04)(0.0015)
PS;Tg-0.4844-0.6464-0.4983
p-value(0.0018)(0)(0)
PS;P-0.4623-0.5413-0.4417
p-value(0.003)(4e-04)(8e-04)
PS;S-0.5724-0.6531-0.5422
p-value(1e-04)(0)(1e-04)
PS;D-0.6364-0.7001-0.5924
p-value(0)(0)(0)
L;Wb0.4920.74620.5843
p-value(0.0015)(0)(0)
L;Wbr0.65850.81550.6833
p-value(0)(0)(0)
L;Tg0.69120.71330.5386
p-value(0)(0)(0)
L;P-0.10890.0143-0.003
p-value(0.5092)(0.9311)(0.9802)
L;S0.32230.53030.4235
p-value(0.0454)(5e-04)(7e-04)
L;D0.06210.20980.1667
p-value(0.7071)(0.1998)(0.1744)
Wb;Wbr0.95570.90270.7861
p-value(0)(0)(0)
Wb;Tg0.71910.68610.5222
p-value(0)(0)(0)
Wb;P0.11020.20880.1647
p-value(0.5043)(0.202)(0.1944)
Wb;S0.40240.56670.4717
p-value(0.0111)(2e-04)(3e-04)
Wb;D0.26840.34320.2696
p-value(0.0985)(0.0324)(0.0342)
Wbr;Tg0.7370.80440.6041
p-value(0)(0)(0)
Wbr;P-0.00330.16160.124
p-value(0.984)(0.3256)(0.3087)
Wbr;S0.31760.60420.4987
p-value(0.0488)(0)(1e-04)
Wbr;D0.15950.33450.2677
p-value(0.332)(0.0374)(0.0284)
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 = spearman ;
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')