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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 computationWed, 22 Dec 2010 23:03:49 +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/23/t1293058897glgo7i3oi7b70au.htm/, Retrieved Sun, 05 May 2024 01:29:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114619, Retrieved Sun, 05 May 2024 01:29:53 +0000
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User-defined keywords
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-13 18:29:33] [8d263c682820d5327cb5f02a8c3630cf]
- R PD    [Kendall tau Correlation Matrix] [] [2010-12-22 23:03:49] [d7127d50f40450f0f3837a0965e389eb] [Current]
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Dataseries X:
NA	NA	38.6	6654	5712	645	3	5	3
6.3	2	4.5	1	6.6	42	3	1	3
NA	NA	14	3.385	44.5	60	1	1	1
NA	NA	NA	0.92	5.7	25	5	2	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
7.6	2.7	NA	0.55	2.4	NA	2	1	2
NA	NA	40	187.1	419	365	5	5	5
6.3	2.1	3.5	0.075	1.2	42	1	1	1
8.6	0	50	3	25	28	2	2	2
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
4.8	1.3	34	1.41	17.5	NA	1	2	1
12	6.1	7	60	81	NA	1	1	1
NA	0.3	28	529	680	400	5	5	5
3.3	0.5	20	27.66	115	148	5	5	5
11	3.4	3.9	0.12	1	16	3	1	2
NA	NA	39.3	207	406	252	1	4	1
4.7	1.5	41	85	325	310	1	3	1
NA	NA	16.2	36.33	119.5	63	1	1	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
NA	NA	22.4	100	157	100	1	1	1
NA	NA	16.3	35	56	33	3	5	4
7.7	1.4	2.6	0.005	0.14	21.5	5	2	4
17.9	2	24	0.01	0.25	50	1	1	1
6.1	1.9	100	62	1320	267	1	1	1
8.2	2.4	NA	0.122	3	30	2	1	1
8.4	2.8	NA	1.35	8.1	45	3	1	3
11.9	1.3	3.2	0.023	0.4	19	4	1	3
10.8	2	2	0.048	0.33	30	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
NA	1	23.6	250	490	440	5	5	5
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
NA	NA	13.7	4.288	39.2	63	2	2	2
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
NA	NA	17	14.83	98.2	150	5	5	5
3.2	0.6	20	55.5	175	151	5	5	5
NA	NA	12.7	1.4	12.5	90	2	2	2
8.1	2.2	3.5	0.06	1	NA	3	1	2
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
NA	NA	13	4.05	17	38	3	1	1




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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114619&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114619&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114619&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







Correlations for all pairs of data series (method=spearman)
SWSPSLWBWBRTGPSD
SWS10.541-0.414-0.505-0.531-0.6-0.25-0.501-0.408
PS0.5411-0.449-0.408-0.506-0.582-0.494-0.666-0.635
L-0.414-0.44910.7240.8160.673-0.0550.5350.126
WB-0.505-0.4080.72410.9530.7280.0940.5710.251
WBR-0.531-0.5060.8160.95310.8050.0730.60.254
TG-0.6-0.5820.6730.7280.80510.1230.6110.322
P-0.25-0.494-0.0550.0940.0730.12310.5670.918
S-0.501-0.6660.5350.5710.60.6110.56710.718
D-0.408-0.6350.1260.2510.2540.3220.9180.7181

\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 & 0.541 & -0.414 & -0.505 & -0.531 & -0.6 & -0.25 & -0.501 & -0.408 \tabularnewline
PS & 0.541 & 1 & -0.449 & -0.408 & -0.506 & -0.582 & -0.494 & -0.666 & -0.635 \tabularnewline
L & -0.414 & -0.449 & 1 & 0.724 & 0.816 & 0.673 & -0.055 & 0.535 & 0.126 \tabularnewline
WB & -0.505 & -0.408 & 0.724 & 1 & 0.953 & 0.728 & 0.094 & 0.571 & 0.251 \tabularnewline
WBR & -0.531 & -0.506 & 0.816 & 0.953 & 1 & 0.805 & 0.073 & 0.6 & 0.254 \tabularnewline
TG & -0.6 & -0.582 & 0.673 & 0.728 & 0.805 & 1 & 0.123 & 0.611 & 0.322 \tabularnewline
P & -0.25 & -0.494 & -0.055 & 0.094 & 0.073 & 0.123 & 1 & 0.567 & 0.918 \tabularnewline
S & -0.501 & -0.666 & 0.535 & 0.571 & 0.6 & 0.611 & 0.567 & 1 & 0.718 \tabularnewline
D & -0.408 & -0.635 & 0.126 & 0.251 & 0.254 & 0.322 & 0.918 & 0.718 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114619&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]0.541[/C][C]-0.414[/C][C]-0.505[/C][C]-0.531[/C][C]-0.6[/C][C]-0.25[/C][C]-0.501[/C][C]-0.408[/C][/ROW]
[ROW][C]PS[/C][C]0.541[/C][C]1[/C][C]-0.449[/C][C]-0.408[/C][C]-0.506[/C][C]-0.582[/C][C]-0.494[/C][C]-0.666[/C][C]-0.635[/C][/ROW]
[ROW][C]L[/C][C]-0.414[/C][C]-0.449[/C][C]1[/C][C]0.724[/C][C]0.816[/C][C]0.673[/C][C]-0.055[/C][C]0.535[/C][C]0.126[/C][/ROW]
[ROW][C]WB[/C][C]-0.505[/C][C]-0.408[/C][C]0.724[/C][C]1[/C][C]0.953[/C][C]0.728[/C][C]0.094[/C][C]0.571[/C][C]0.251[/C][/ROW]
[ROW][C]WBR[/C][C]-0.531[/C][C]-0.506[/C][C]0.816[/C][C]0.953[/C][C]1[/C][C]0.805[/C][C]0.073[/C][C]0.6[/C][C]0.254[/C][/ROW]
[ROW][C]TG[/C][C]-0.6[/C][C]-0.582[/C][C]0.673[/C][C]0.728[/C][C]0.805[/C][C]1[/C][C]0.123[/C][C]0.611[/C][C]0.322[/C][/ROW]
[ROW][C]P[/C][C]-0.25[/C][C]-0.494[/C][C]-0.055[/C][C]0.094[/C][C]0.073[/C][C]0.123[/C][C]1[/C][C]0.567[/C][C]0.918[/C][/ROW]
[ROW][C]S[/C][C]-0.501[/C][C]-0.666[/C][C]0.535[/C][C]0.571[/C][C]0.6[/C][C]0.611[/C][C]0.567[/C][C]1[/C][C]0.718[/C][/ROW]
[ROW][C]D[/C][C]-0.408[/C][C]-0.635[/C][C]0.126[/C][C]0.251[/C][C]0.254[/C][C]0.322[/C][C]0.918[/C][C]0.718[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114619&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114619&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
SWS10.541-0.414-0.505-0.531-0.6-0.25-0.501-0.408
PS0.5411-0.449-0.408-0.506-0.582-0.494-0.666-0.635
L-0.414-0.44910.7240.8160.673-0.0550.5350.126
WB-0.505-0.4080.72410.9530.7280.0940.5710.251
WBR-0.531-0.5060.8160.95310.8050.0730.60.254
TG-0.6-0.5820.6730.7280.80510.1230.6110.322
P-0.25-0.494-0.0550.0940.0730.12310.5670.918
S-0.501-0.6660.5350.5710.60.6110.56710.718
D-0.408-0.6350.1260.2510.2540.3220.9180.7181







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
SWS;PS0.51430.54120.3833
p-value(2e-04)(1e-04)(1e-04)
SWS;L-0.3844-0.4141-0.2886
p-value(0.0091)(0.0047)(0.0056)
SWS;WB-0.3759-0.5051-0.3619
p-value(0.0085)(3e-04)(3e-04)
SWS;WBR-0.3692-0.5306-0.3861
p-value(0.0098)(1e-04)(1e-04)
SWS;TG-0.5947-0.5998-0.4416
p-value(0)(0)(0)
SWS;P-0.3182-0.2496-0.1882
p-value(0.0275)(0.0871)(0.0832)
SWS;S-0.5438-0.501-0.3899
p-value(1e-04)(3e-04)(5e-04)
SWS;D-0.4839-0.4085-0.3195
p-value(5e-04)(0.0039)(0.0034)
PS;L-0.2957-0.4486-0.2716
p-value(0.0436)(0.0016)(0.0079)
PS;WB-0.1094-0.4079-0.2533
p-value(0.4495)(0.0033)(0.0102)
PS;WBR-0.1051-0.5057-0.3087
p-value(0.4674)(2e-04)(0.0017)
PS;TG-0.4509-0.5822-0.4147
p-value(0.0017)(0)(1e-04)
PS;P-0.4475-0.4943-0.3659
p-value(0.0011)(3e-04)(6e-04)
PS;S-0.5372-0.6662-0.5129
p-value(1e-04)(0)(0)
PS;D-0.5793-0.6353-0.4896
p-value(0)(0)(0)
L;WB0.30250.72410.5498
p-value(0.021)(0)(0)
L;WBR0.50930.81570.6636
p-value(0)(0)(0)
L;TG0.61480.67280.4866
p-value(0)(0)(0)
L;P-0.1025-0.0553-0.0555
p-value(0.4437)(0.68)(0.5727)
L;S0.36040.53460.3998
p-value(0.0055)(0)(1e-04)
L;D0.06180.1260.0852
p-value(0.645)(0.3459)(0.388)
WB;WBR0.93420.95350.8335
p-value(0)(0)(0)
WB;TG0.65110.72830.5442
p-value(0)(0)(0)
WB;P0.05950.09380.0591
p-value(0.646)(0.4684)(0.5333)
WB;S0.33830.57110.4554
p-value(0.0072)(0)(0)
WB;D0.13360.2510.1721
p-value(0.3006)(0.0491)(0.07)
WBR;TG0.74720.80530.6074
p-value(0)(0)(0)
WBR;P0.03390.07340.0396
p-value(0.7939)(0.5708)(0.6764)
WBR;S0.36780.60030.4841
p-value(0.0033)(0)(0)
WBR;D0.14590.2540.1763
p-value(0.2579)(0.0464)(0.0635)
TG;P0.20050.12310.0758
p-value(0.1313)(0.3574)(0.4409)
TG;S0.63830.61140.4945
p-value(0)(0)(0)
TG;D0.37860.32250.2285
p-value(0.0034)(0.0136)(0.0203)
P;S0.61820.56690.4693
p-value(0)(0)(0)
P;D0.9160.9180.8563
p-value(0)(0)(0)
S;D0.78720.71810.6277
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
SWS;PS & 0.5143 & 0.5412 & 0.3833 \tabularnewline
p-value & (2e-04) & (1e-04) & (1e-04) \tabularnewline
SWS;L & -0.3844 & -0.4141 & -0.2886 \tabularnewline
p-value & (0.0091) & (0.0047) & (0.0056) \tabularnewline
SWS;WB & -0.3759 & -0.5051 & -0.3619 \tabularnewline
p-value & (0.0085) & (3e-04) & (3e-04) \tabularnewline
SWS;WBR & -0.3692 & -0.5306 & -0.3861 \tabularnewline
p-value & (0.0098) & (1e-04) & (1e-04) \tabularnewline
SWS;TG & -0.5947 & -0.5998 & -0.4416 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;P & -0.3182 & -0.2496 & -0.1882 \tabularnewline
p-value & (0.0275) & (0.0871) & (0.0832) \tabularnewline
SWS;S & -0.5438 & -0.501 & -0.3899 \tabularnewline
p-value & (1e-04) & (3e-04) & (5e-04) \tabularnewline
SWS;D & -0.4839 & -0.4085 & -0.3195 \tabularnewline
p-value & (5e-04) & (0.0039) & (0.0034) \tabularnewline
PS;L & -0.2957 & -0.4486 & -0.2716 \tabularnewline
p-value & (0.0436) & (0.0016) & (0.0079) \tabularnewline
PS;WB & -0.1094 & -0.4079 & -0.2533 \tabularnewline
p-value & (0.4495) & (0.0033) & (0.0102) \tabularnewline
PS;WBR & -0.1051 & -0.5057 & -0.3087 \tabularnewline
p-value & (0.4674) & (2e-04) & (0.0017) \tabularnewline
PS;TG & -0.4509 & -0.5822 & -0.4147 \tabularnewline
p-value & (0.0017) & (0) & (1e-04) \tabularnewline
PS;P & -0.4475 & -0.4943 & -0.3659 \tabularnewline
p-value & (0.0011) & (3e-04) & (6e-04) \tabularnewline
PS;S & -0.5372 & -0.6662 & -0.5129 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
PS;D & -0.5793 & -0.6353 & -0.4896 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;WB & 0.3025 & 0.7241 & 0.5498 \tabularnewline
p-value & (0.021) & (0) & (0) \tabularnewline
L;WBR & 0.5093 & 0.8157 & 0.6636 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;TG & 0.6148 & 0.6728 & 0.4866 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
L;P & -0.1025 & -0.0553 & -0.0555 \tabularnewline
p-value & (0.4437) & (0.68) & (0.5727) \tabularnewline
L;S & 0.3604 & 0.5346 & 0.3998 \tabularnewline
p-value & (0.0055) & (0) & (1e-04) \tabularnewline
L;D & 0.0618 & 0.126 & 0.0852 \tabularnewline
p-value & (0.645) & (0.3459) & (0.388) \tabularnewline
WB;WBR & 0.9342 & 0.9535 & 0.8335 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
WB;TG & 0.6511 & 0.7283 & 0.5442 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
WB;P & 0.0595 & 0.0938 & 0.0591 \tabularnewline
p-value & (0.646) & (0.4684) & (0.5333) \tabularnewline
WB;S & 0.3383 & 0.5711 & 0.4554 \tabularnewline
p-value & (0.0072) & (0) & (0) \tabularnewline
WB;D & 0.1336 & 0.251 & 0.1721 \tabularnewline
p-value & (0.3006) & (0.0491) & (0.07) \tabularnewline
WBR;TG & 0.7472 & 0.8053 & 0.6074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
WBR;P & 0.0339 & 0.0734 & 0.0396 \tabularnewline
p-value & (0.7939) & (0.5708) & (0.6764) \tabularnewline
WBR;S & 0.3678 & 0.6003 & 0.4841 \tabularnewline
p-value & (0.0033) & (0) & (0) \tabularnewline
WBR;D & 0.1459 & 0.254 & 0.1763 \tabularnewline
p-value & (0.2579) & (0.0464) & (0.0635) \tabularnewline
TG;P & 0.2005 & 0.1231 & 0.0758 \tabularnewline
p-value & (0.1313) & (0.3574) & (0.4409) \tabularnewline
TG;S & 0.6383 & 0.6114 & 0.4945 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
TG;D & 0.3786 & 0.3225 & 0.2285 \tabularnewline
p-value & (0.0034) & (0.0136) & (0.0203) \tabularnewline
P;S & 0.6182 & 0.5669 & 0.4693 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
P;D & 0.916 & 0.918 & 0.8563 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
S;D & 0.7872 & 0.7181 & 0.6277 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114619&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]SWS;PS[/C][C]0.5143[/C][C]0.5412[/C][C]0.3833[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]SWS;L[/C][C]-0.3844[/C][C]-0.4141[/C][C]-0.2886[/C][/ROW]
[ROW][C]p-value[/C][C](0.0091)[/C][C](0.0047)[/C][C](0.0056)[/C][/ROW]
[ROW][C]SWS;WB[/C][C]-0.3759[/C][C]-0.5051[/C][C]-0.3619[/C][/ROW]
[ROW][C]p-value[/C][C](0.0085)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]SWS;WBR[/C][C]-0.3692[/C][C]-0.5306[/C][C]-0.3861[/C][/ROW]
[ROW][C]p-value[/C][C](0.0098)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]SWS;TG[/C][C]-0.5947[/C][C]-0.5998[/C][C]-0.4416[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;P[/C][C]-0.3182[/C][C]-0.2496[/C][C]-0.1882[/C][/ROW]
[ROW][C]p-value[/C][C](0.0275)[/C][C](0.0871)[/C][C](0.0832)[/C][/ROW]
[ROW][C]SWS;S[/C][C]-0.5438[/C][C]-0.501[/C][C]-0.3899[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](3e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]SWS;D[/C][C]-0.4839[/C][C]-0.4085[/C][C]-0.3195[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0.0039)[/C][C](0.0034)[/C][/ROW]
[ROW][C]PS;L[/C][C]-0.2957[/C][C]-0.4486[/C][C]-0.2716[/C][/ROW]
[ROW][C]p-value[/C][C](0.0436)[/C][C](0.0016)[/C][C](0.0079)[/C][/ROW]
[ROW][C]PS;WB[/C][C]-0.1094[/C][C]-0.4079[/C][C]-0.2533[/C][/ROW]
[ROW][C]p-value[/C][C](0.4495)[/C][C](0.0033)[/C][C](0.0102)[/C][/ROW]
[ROW][C]PS;WBR[/C][C]-0.1051[/C][C]-0.5057[/C][C]-0.3087[/C][/ROW]
[ROW][C]p-value[/C][C](0.4674)[/C][C](2e-04)[/C][C](0.0017)[/C][/ROW]
[ROW][C]PS;TG[/C][C]-0.4509[/C][C]-0.5822[/C][C]-0.4147[/C][/ROW]
[ROW][C]p-value[/C][C](0.0017)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PS;P[/C][C]-0.4475[/C][C]-0.4943[/C][C]-0.3659[/C][/ROW]
[ROW][C]p-value[/C][C](0.0011)[/C][C](3e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]PS;S[/C][C]-0.5372[/C][C]-0.6662[/C][C]-0.5129[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;D[/C][C]-0.5793[/C][C]-0.6353[/C][C]-0.4896[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;WB[/C][C]0.3025[/C][C]0.7241[/C][C]0.5498[/C][/ROW]
[ROW][C]p-value[/C][C](0.021)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;WBR[/C][C]0.5093[/C][C]0.8157[/C][C]0.6636[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;TG[/C][C]0.6148[/C][C]0.6728[/C][C]0.4866[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;P[/C][C]-0.1025[/C][C]-0.0553[/C][C]-0.0555[/C][/ROW]
[ROW][C]p-value[/C][C](0.4437)[/C][C](0.68)[/C][C](0.5727)[/C][/ROW]
[ROW][C]L;S[/C][C]0.3604[/C][C]0.5346[/C][C]0.3998[/C][/ROW]
[ROW][C]p-value[/C][C](0.0055)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]L;D[/C][C]0.0618[/C][C]0.126[/C][C]0.0852[/C][/ROW]
[ROW][C]p-value[/C][C](0.645)[/C][C](0.3459)[/C][C](0.388)[/C][/ROW]
[ROW][C]WB;WBR[/C][C]0.9342[/C][C]0.9535[/C][C]0.8335[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]WB;TG[/C][C]0.6511[/C][C]0.7283[/C][C]0.5442[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]WB;P[/C][C]0.0595[/C][C]0.0938[/C][C]0.0591[/C][/ROW]
[ROW][C]p-value[/C][C](0.646)[/C][C](0.4684)[/C][C](0.5333)[/C][/ROW]
[ROW][C]WB;S[/C][C]0.3383[/C][C]0.5711[/C][C]0.4554[/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]0.251[/C][C]0.1721[/C][/ROW]
[ROW][C]p-value[/C][C](0.3006)[/C][C](0.0491)[/C][C](0.07)[/C][/ROW]
[ROW][C]WBR;TG[/C][C]0.7472[/C][C]0.8053[/C][C]0.6074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/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]0.3678[/C][C]0.6003[/C][C]0.4841[/C][/ROW]
[ROW][C]p-value[/C][C](0.0033)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]WBR;D[/C][C]0.1459[/C][C]0.254[/C][C]0.1763[/C][/ROW]
[ROW][C]p-value[/C][C](0.2579)[/C][C](0.0464)[/C][C](0.0635)[/C][/ROW]
[ROW][C]TG;P[/C][C]0.2005[/C][C]0.1231[/C][C]0.0758[/C][/ROW]
[ROW][C]p-value[/C][C](0.1313)[/C][C](0.3574)[/C][C](0.4409)[/C][/ROW]
[ROW][C]TG;S[/C][C]0.6383[/C][C]0.6114[/C][C]0.4945[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]TG;D[/C][C]0.3786[/C][C]0.3225[/C][C]0.2285[/C][/ROW]
[ROW][C]p-value[/C][C](0.0034)[/C][C](0.0136)[/C][C](0.0203)[/C][/ROW]
[ROW][C]P;S[/C][C]0.6182[/C][C]0.5669[/C][C]0.4693[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]P;D[/C][C]0.916[/C][C]0.918[/C][C]0.8563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]S;D[/C][C]0.7872[/C][C]0.7181[/C][C]0.6277[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114619&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114619&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;PS0.51430.54120.3833
p-value(2e-04)(1e-04)(1e-04)
SWS;L-0.3844-0.4141-0.2886
p-value(0.0091)(0.0047)(0.0056)
SWS;WB-0.3759-0.5051-0.3619
p-value(0.0085)(3e-04)(3e-04)
SWS;WBR-0.3692-0.5306-0.3861
p-value(0.0098)(1e-04)(1e-04)
SWS;TG-0.5947-0.5998-0.4416
p-value(0)(0)(0)
SWS;P-0.3182-0.2496-0.1882
p-value(0.0275)(0.0871)(0.0832)
SWS;S-0.5438-0.501-0.3899
p-value(1e-04)(3e-04)(5e-04)
SWS;D-0.4839-0.4085-0.3195
p-value(5e-04)(0.0039)(0.0034)
PS;L-0.2957-0.4486-0.2716
p-value(0.0436)(0.0016)(0.0079)
PS;WB-0.1094-0.4079-0.2533
p-value(0.4495)(0.0033)(0.0102)
PS;WBR-0.1051-0.5057-0.3087
p-value(0.4674)(2e-04)(0.0017)
PS;TG-0.4509-0.5822-0.4147
p-value(0.0017)(0)(1e-04)
PS;P-0.4475-0.4943-0.3659
p-value(0.0011)(3e-04)(6e-04)
PS;S-0.5372-0.6662-0.5129
p-value(1e-04)(0)(0)
PS;D-0.5793-0.6353-0.4896
p-value(0)(0)(0)
L;WB0.30250.72410.5498
p-value(0.021)(0)(0)
L;WBR0.50930.81570.6636
p-value(0)(0)(0)
L;TG0.61480.67280.4866
p-value(0)(0)(0)
L;P-0.1025-0.0553-0.0555
p-value(0.4437)(0.68)(0.5727)
L;S0.36040.53460.3998
p-value(0.0055)(0)(1e-04)
L;D0.06180.1260.0852
p-value(0.645)(0.3459)(0.388)
WB;WBR0.93420.95350.8335
p-value(0)(0)(0)
WB;TG0.65110.72830.5442
p-value(0)(0)(0)
WB;P0.05950.09380.0591
p-value(0.646)(0.4684)(0.5333)
WB;S0.33830.57110.4554
p-value(0.0072)(0)(0)
WB;D0.13360.2510.1721
p-value(0.3006)(0.0491)(0.07)
WBR;TG0.74720.80530.6074
p-value(0)(0)(0)
WBR;P0.03390.07340.0396
p-value(0.7939)(0.5708)(0.6764)
WBR;S0.36780.60030.4841
p-value(0.0033)(0)(0)
WBR;D0.14590.2540.1763
p-value(0.2579)(0.0464)(0.0635)
TG;P0.20050.12310.0758
p-value(0.1313)(0.3574)(0.4409)
TG;S0.63830.61140.4945
p-value(0)(0)(0)
TG;D0.37860.32250.2285
p-value(0.0034)(0.0136)(0.0203)
P;S0.61820.56690.4693
p-value(0)(0)(0)
P;D0.9160.9180.8563
p-value(0)(0)(0)
S;D0.78720.71810.6277
p-value(0)(0)(0)



Parameters (Session):
par1 = spearman ;
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')