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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 computationSat, 11 Dec 2010 15:44:42 +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/11/t12920825167dv2e5to95n1667.htm/, Retrieved Mon, 06 May 2024 17:10:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108223, Retrieved Mon, 06 May 2024 17:10:31 +0000
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User-defined keywords
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2010-12-11 15:44:42] [558c060a42ec367ec2c020fab85c25c7] [Current]
-    D    [Kendall tau Correlation Matrix] [] [2010-12-14 09:58:15] [39e83c7b0ac936e906a817a1bb402750]
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Dataseries X:
NA	NA	38,6	6.654	5.712	645	3	5	3
6,3	2	4,5	1	7	42	3	1	3
NA	NA	14	3	45	60	1	1	1
NA	NA	NA	0,92	6	25	5	2	3
2,1	1,8	69	2.547	4.603	624	3	5	4
9,1	0,7	27	11	180	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	26	63	1	2	1
8,3	1,4	50	52	440	230	1	1	1
11	1,5	7	0,425	6	112	5	4	4
3,2	0,7	30	465	423	281	5	5	5
7,6	2,7	NA	0,55	2	NA	2	1	2
NA	NA	40	187.100	419	365	5	5	5
6,3	2,1	3,5	0,075	1	42	1	1	1
8,6	0	50	3	25	28	2	2	2
6,6	4,1	6	0,785	4	42	2	2	2
9,5	1,2	10,4	0,2	5	120	2	2	2
4,8	1,3	34	1	18	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	28	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	120	63	1	1	1
10,4	3,4	9	0,101	4	28	5	1	3
7,4	0,8	7,6	1	6	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	1.320	267	1	1	1
8,2	2,4	NA	0,122	3	30	2	1	1
8,4	2,8	NA	1	8	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	2	6	12	2	1	1
14,3	3,1	6,5	4	11	120	2	1	1
NA	1	23,6	250	490	440	5	5	5
15,2	1,8	12	0,48	16	140	2	2	2
10	0,9	20,2	10	115	170	4	4	4
11,9	1,8	13	2	11	17	2	1	2
6,5	1,9	27	192	180	115	4	4	4
7,5	0,9	18	3	12	31	5	5	5
NA	NA	13,7	4	39	63	2	2	2
10,6	2,6	4,7	0,28	2	21	3	1	3
7,4	2,4	9,8	4	50	52	1	1	1
8,4	1,2	29	7	179	164	2	3	2
5,7	0,9	7	0,75	12	225	2	2	2
4,9	0,5	6	4	21	225	3	2	3
NA	NA	17	15	98	150	5	5	5
3,2	0,6	20	56	175	151	5	5	5
NA	NA	12,7	1	13	90	2	2	2
8,1	2,2	3,5	0,06	1	NA	3	1	2
11	2,3	4,5	0,9	3	60	2	1	2
4,9	0,5	7,5	2	12	200	3	1	3
13,2	2,6	2,3	0,104	3	46	3	2	2
9,7	0,6	24	4	58	210	4	3	4
12,8	6,6	3	4	4	14	2	1	1
NA	NA	13	4	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=108223&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=108223&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108223&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=pearson)
SWSPSLWbWbrTgPSD
SWS10.514-0.384-0.429-0.433-0.595-0.318-0.544-0.484
PS0.5141-0.296-0.275-0.349-0.451-0.447-0.537-0.579
L-0.384-0.29610.3340.3950.615-0.1030.360.062
Wb-0.429-0.2750.33410.8850.4860.3430.5250.431
Wbr-0.433-0.3490.3950.88510.5360.2690.5470.38
Tg-0.595-0.4510.6150.4860.53610.2010.6380.379
P-0.318-0.447-0.1030.3430.2690.20110.6180.916
S-0.544-0.5370.360.5250.5470.6380.61810.787
D-0.484-0.5790.0620.4310.380.3790.9160.7871

\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 & 0.514 & -0.384 & -0.429 & -0.433 & -0.595 & -0.318 & -0.544 & -0.484 \tabularnewline
PS & 0.514 & 1 & -0.296 & -0.275 & -0.349 & -0.451 & -0.447 & -0.537 & -0.579 \tabularnewline
L & -0.384 & -0.296 & 1 & 0.334 & 0.395 & 0.615 & -0.103 & 0.36 & 0.062 \tabularnewline
Wb & -0.429 & -0.275 & 0.334 & 1 & 0.885 & 0.486 & 0.343 & 0.525 & 0.431 \tabularnewline
Wbr & -0.433 & -0.349 & 0.395 & 0.885 & 1 & 0.536 & 0.269 & 0.547 & 0.38 \tabularnewline
Tg & -0.595 & -0.451 & 0.615 & 0.486 & 0.536 & 1 & 0.201 & 0.638 & 0.379 \tabularnewline
P & -0.318 & -0.447 & -0.103 & 0.343 & 0.269 & 0.201 & 1 & 0.618 & 0.916 \tabularnewline
S & -0.544 & -0.537 & 0.36 & 0.525 & 0.547 & 0.638 & 0.618 & 1 & 0.787 \tabularnewline
D & -0.484 & -0.579 & 0.062 & 0.431 & 0.38 & 0.379 & 0.916 & 0.787 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108223&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]0.514[/C][C]-0.384[/C][C]-0.429[/C][C]-0.433[/C][C]-0.595[/C][C]-0.318[/C][C]-0.544[/C][C]-0.484[/C][/ROW]
[ROW][C]PS[/C][C]0.514[/C][C]1[/C][C]-0.296[/C][C]-0.275[/C][C]-0.349[/C][C]-0.451[/C][C]-0.447[/C][C]-0.537[/C][C]-0.579[/C][/ROW]
[ROW][C]L[/C][C]-0.384[/C][C]-0.296[/C][C]1[/C][C]0.334[/C][C]0.395[/C][C]0.615[/C][C]-0.103[/C][C]0.36[/C][C]0.062[/C][/ROW]
[ROW][C]Wb[/C][C]-0.429[/C][C]-0.275[/C][C]0.334[/C][C]1[/C][C]0.885[/C][C]0.486[/C][C]0.343[/C][C]0.525[/C][C]0.431[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.433[/C][C]-0.349[/C][C]0.395[/C][C]0.885[/C][C]1[/C][C]0.536[/C][C]0.269[/C][C]0.547[/C][C]0.38[/C][/ROW]
[ROW][C]Tg[/C][C]-0.595[/C][C]-0.451[/C][C]0.615[/C][C]0.486[/C][C]0.536[/C][C]1[/C][C]0.201[/C][C]0.638[/C][C]0.379[/C][/ROW]
[ROW][C]P[/C][C]-0.318[/C][C]-0.447[/C][C]-0.103[/C][C]0.343[/C][C]0.269[/C][C]0.201[/C][C]1[/C][C]0.618[/C][C]0.916[/C][/ROW]
[ROW][C]S[/C][C]-0.544[/C][C]-0.537[/C][C]0.36[/C][C]0.525[/C][C]0.547[/C][C]0.638[/C][C]0.618[/C][C]1[/C][C]0.787[/C][/ROW]
[ROW][C]D[/C][C]-0.484[/C][C]-0.579[/C][C]0.062[/C][C]0.431[/C][C]0.38[/C][C]0.379[/C][C]0.916[/C][C]0.787[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108223&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108223&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
SWS10.514-0.384-0.429-0.433-0.595-0.318-0.544-0.484
PS0.5141-0.296-0.275-0.349-0.451-0.447-0.537-0.579
L-0.384-0.29610.3340.3950.615-0.1030.360.062
Wb-0.429-0.2750.33410.8850.4860.3430.5250.431
Wbr-0.433-0.3490.3950.88510.5360.2690.5470.38
Tg-0.595-0.4510.6150.4860.53610.2010.6380.379
P-0.318-0.447-0.1030.3430.2690.20110.6180.916
S-0.544-0.5370.360.5250.5470.6380.61810.787
D-0.484-0.5790.0620.4310.380.3790.9160.7871







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-0.4292-0.453-0.3266
p-value(0.0023)(0.0012)(0.0012)
SWS;Wbr-0.4332-0.4136-0.2973
p-value(0.0021)(0.0035)(0.0032)
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-0.2749-0.4176-0.268
p-value(0.0534)(0.0026)(0.007)
PS;Wbr-0.3485-0.5424-0.3465
p-value(0.0131)(0)(5e-04)
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;Wb0.33410.66740.4986
p-value(0.0104)(0)(0)
L;Wbr0.39450.63850.5253
p-value(0.0022)(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;Wbr0.88530.88220.7594
p-value(0)(0)(0)
Wb;Tg0.48640.66390.4819
p-value(1e-04)(0)(0)
Wb;P0.34290.09610.0686
p-value(0.0064)(0.4573)(0.4732)
Wb;S0.52550.52410.418
p-value(0)(0)(0)
Wb;D0.43090.23010.1739
p-value(5e-04)(0.072)(0.0696)
Wbr;Tg0.53560.63110.4707
p-value(0)(0)(0)
Wbr;P0.26930.12860.0861
p-value(0.0343)(0.3192)(0.3662)
Wbr;S0.54710.56590.4515
p-value(0)(0)(0)
Wbr;D0.37980.27250.1999
p-value(0.0023)(0.0321)(0.0362)
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 & -0.4292 & -0.453 & -0.3266 \tabularnewline
p-value & (0.0023) & (0.0012) & (0.0012) \tabularnewline
SWS;Wbr & -0.4332 & -0.4136 & -0.2973 \tabularnewline
p-value & (0.0021) & (0.0035) & (0.0032) \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 & -0.2749 & -0.4176 & -0.268 \tabularnewline
p-value & (0.0534) & (0.0026) & (0.007) \tabularnewline
PS;Wbr & -0.3485 & -0.5424 & -0.3465 \tabularnewline
p-value & (0.0131) & (0) & (5e-04) \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 & 0.3341 & 0.6674 & 0.4986 \tabularnewline
p-value & (0.0104) & (0) & (0) \tabularnewline
L;Wbr & 0.3945 & 0.6385 & 0.5253 \tabularnewline
p-value & (0.0022) & (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 & 0.8853 & 0.8822 & 0.7594 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;Tg & 0.4864 & 0.6639 & 0.4819 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
Wb;P & 0.3429 & 0.0961 & 0.0686 \tabularnewline
p-value & (0.0064) & (0.4573) & (0.4732) \tabularnewline
Wb;S & 0.5255 & 0.5241 & 0.418 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wb;D & 0.4309 & 0.2301 & 0.1739 \tabularnewline
p-value & (5e-04) & (0.072) & (0.0696) \tabularnewline
Wbr;Tg & 0.5356 & 0.6311 & 0.4707 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wbr;P & 0.2693 & 0.1286 & 0.0861 \tabularnewline
p-value & (0.0343) & (0.3192) & (0.3662) \tabularnewline
Wbr;S & 0.5471 & 0.5659 & 0.4515 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Wbr;D & 0.3798 & 0.2725 & 0.1999 \tabularnewline
p-value & (0.0023) & (0.0321) & (0.0362) \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=108223&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]-0.4292[/C][C]-0.453[/C][C]-0.3266[/C][/ROW]
[ROW][C]p-value[/C][C](0.0023)[/C][C](0.0012)[/C][C](0.0012)[/C][/ROW]
[ROW][C]SWS;Wbr[/C][C]-0.4332[/C][C]-0.4136[/C][C]-0.2973[/C][/ROW]
[ROW][C]p-value[/C][C](0.0021)[/C][C](0.0035)[/C][C](0.0032)[/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]-0.2749[/C][C]-0.4176[/C][C]-0.268[/C][/ROW]
[ROW][C]p-value[/C][C](0.0534)[/C][C](0.0026)[/C][C](0.007)[/C][/ROW]
[ROW][C]PS;Wbr[/C][C]-0.3485[/C][C]-0.5424[/C][C]-0.3465[/C][/ROW]
[ROW][C]p-value[/C][C](0.0131)[/C][C](0)[/C][C](5e-04)[/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]0.3341[/C][C]0.6674[/C][C]0.4986[/C][/ROW]
[ROW][C]p-value[/C][C](0.0104)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]L;Wbr[/C][C]0.3945[/C][C]0.6385[/C][C]0.5253[/C][/ROW]
[ROW][C]p-value[/C][C](0.0022)[/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]0.8853[/C][C]0.8822[/C][C]0.7594[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;Tg[/C][C]0.4864[/C][C]0.6639[/C][C]0.4819[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;P[/C][C]0.3429[/C][C]0.0961[/C][C]0.0686[/C][/ROW]
[ROW][C]p-value[/C][C](0.0064)[/C][C](0.4573)[/C][C](0.4732)[/C][/ROW]
[ROW][C]Wb;S[/C][C]0.5255[/C][C]0.5241[/C][C]0.418[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wb;D[/C][C]0.4309[/C][C]0.2301[/C][C]0.1739[/C][/ROW]
[ROW][C]p-value[/C][C](5e-04)[/C][C](0.072)[/C][C](0.0696)[/C][/ROW]
[ROW][C]Wbr;Tg[/C][C]0.5356[/C][C]0.6311[/C][C]0.4707[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;P[/C][C]0.2693[/C][C]0.1286[/C][C]0.0861[/C][/ROW]
[ROW][C]p-value[/C][C](0.0343)[/C][C](0.3192)[/C][C](0.3662)[/C][/ROW]
[ROW][C]Wbr;S[/C][C]0.5471[/C][C]0.5659[/C][C]0.4515[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;D[/C][C]0.3798[/C][C]0.2725[/C][C]0.1999[/C][/ROW]
[ROW][C]p-value[/C][C](0.0023)[/C][C](0.0321)[/C][C](0.0362)[/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=108223&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108223&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-0.4292-0.453-0.3266
p-value(0.0023)(0.0012)(0.0012)
SWS;Wbr-0.4332-0.4136-0.2973
p-value(0.0021)(0.0035)(0.0032)
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-0.2749-0.4176-0.268
p-value(0.0534)(0.0026)(0.007)
PS;Wbr-0.3485-0.5424-0.3465
p-value(0.0131)(0)(5e-04)
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;Wb0.33410.66740.4986
p-value(0.0104)(0)(0)
L;Wbr0.39450.63850.5253
p-value(0.0022)(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;Wbr0.88530.88220.7594
p-value(0)(0)(0)
Wb;Tg0.48640.66390.4819
p-value(1e-04)(0)(0)
Wb;P0.34290.09610.0686
p-value(0.0064)(0.4573)(0.4732)
Wb;S0.52550.52410.418
p-value(0)(0)(0)
Wb;D0.43090.23010.1739
p-value(5e-04)(0.072)(0.0696)
Wbr;Tg0.53560.63110.4707
p-value(0)(0)(0)
Wbr;P0.26930.12860.0861
p-value(0.0343)(0.3192)(0.3662)
Wbr;S0.54710.56590.4515
p-value(0)(0)(0)
Wbr;D0.37980.27250.1999
p-value(0.0023)(0.0321)(0.0362)
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 = 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')