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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 computationMon, 13 Dec 2010 13:52:46 +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/13/t1292248284a7xlfwm2hcs6wh2.htm/, Retrieved Mon, 06 May 2024 15:05:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108924, Retrieved Mon, 06 May 2024 15:05:16 +0000
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IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [The Science Exper...] [2010-12-13 13:52:46] [dfb0309aec67f282200eef05efe0d5bd] [Current]
-   P     [Kendall tau Correlation Matrix] [The Science Exper...] [2010-12-13 13:59:21] [2843717cd92615903379c14ebee3c5df]
- RMP     [Multiple Regression] [The Science Exper...] [2010-12-13 14:04:10] [2843717cd92615903379c14ebee3c5df]
- RMP     [Multiple Regression] [The Science Exper...] [2010-12-13 14:07:54] [2843717cd92615903379c14ebee3c5df]
-    D    [Kendall tau Correlation Matrix] [Pearson Correlati...] [2010-12-14 09:02:22] [2843717cd92615903379c14ebee3c5df]
-    D    [Kendall tau Correlation Matrix] [Pearson Correlati...] [2010-12-14 09:27:43] [2843717cd92615903379c14ebee3c5df]
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Dataseries X:
6.3	2.0	4.5	1.000	6.600	42.0	3	1	3
2.1	1.8	69.0	2547.000	44.500	624.0	3	5	4
9.1	0.7	27.0	10.55	179.500	180.0	4	4	4
15.8	3.9	19.0	0.023	0.300	35.0	1	1	1
5.2	1.0	30.4	160.000	169.000	392.0	4	5	4
10.9	3.6	28.0	3.300	25.600	63.0	1	2	1
8.3	1.4	50.0	52.16	440.000	230.0	1	1	1
11.0	1.5	7.0	0.425	6.400	112.0	5	4	4
3.2	0.7	30.0	465.000	423.000	281.0	5	5	5
6.3	2.1	3.5	0.075	1.200	42.0	1	1	1
6.6	4.1	6.0	0.785	3.500	42.0	2	2	2
9.5	1.2	10.4	0.200	5.000	120.0	2	2	2
3.3	0.5	20.0	27.66	115.000	148.0	5	5	5
11.0	3.4	3.9	0.120	1.000	16.0	3	1	2
4.7	1.5	41.0	85.000	325.000	310.0	1	3	1
10.4	3.4	9.0	0.101	4.000	28.0	5	1	3
7.4	0.8	7.6	1.040	5.500	68.0	5	3	4
2.1	0.8	46.0	521.000	655.000	336.0	5	5	5
17.9	2.0	24.0	0.010	0.250	50.0	1	1	1
6.1	1.9	100.0	62.000	1320.000	267.0	1	1	1
11.9	1.3	3.2	0.023	0.400	19.0	4	1	3
13.8	5.6	5.0	1.700	6.300	12.0	2	1	1
14.3	3.1	6.5	3.500	10.800	120.0	2	1	1
15.2	1.8	12.0	0.480	15.500	140.0	2	2	2
10.0	0.9	20.2	10.000	115.000	170.0	4	4	4
11.9	1.8	13.0	1.620	11.400	17.0	2	1	2
6.5	1.9	27.0	192.000	180.000	115.0	4	4	4
7.5	0.9	18.0	2.500	12.300	31.0	5	5	5
10.6	2.6	4.7	0.280	1.900	21.0	3	1	3
7.4	2.4	9.8	4.235	50.400	52.0	1	1	1
8.4	1.2	29.0	6.800	179.000	164.0	2	3	2
5.7	0.9	7.0	0.750	12.300	225.0	2	2	2
4.9	0.5	6.0	3.600	21.000	225.0	3	2	3
3.2	0.6	20.0	55.500	175.000	151.0	5	5	5
11.0	2.3	4.5	0.900	2.600	60.0	2	1	2
4.9	0.5	7.5	2.000	12.300	200.0	3	1	3
13.2	2.6	2.3	0.104	2.500	46.0	3	2	2
9.7	0.6	24.0	4.190	58.000	210.0	4	3	4
12.8	6.6	3.0	3.500	3.900	14.0	2	1	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108924&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108924&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108924&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'George Udny Yule' @ 72.249.76.132







Correlations for all pairs of data series (method=pearson)
SWSPSLWbWbrTgPSD
SWS10.53-0.385-0.395-0.383-0.621-0.369-0.58-0.542
PS0.531-0.241-0.088-0.218-0.468-0.434-0.533-0.604
L-0.385-0.24110.4920.830.691-0.1110.3190.06
Wb-0.395-0.0880.49210.0930.7190.110.4020.268
Wbr-0.383-0.2180.830.09310.44-0.0450.1740.034
Tg-0.621-0.4680.6910.7190.4410.1320.5660.335
P-0.369-0.434-0.1110.11-0.0450.13210.680.93
S-0.58-0.5330.3190.4020.1740.5660.6810.819
D-0.542-0.6040.060.2680.0340.3350.930.8191

\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 & -0.383 & -0.621 & -0.369 & -0.58 & -0.542 \tabularnewline
PS & 0.53 & 1 & -0.241 & -0.088 & -0.218 & -0.468 & -0.434 & -0.533 & -0.604 \tabularnewline
L & -0.385 & -0.241 & 1 & 0.492 & 0.83 & 0.691 & -0.111 & 0.319 & 0.06 \tabularnewline
Wb & -0.395 & -0.088 & 0.492 & 1 & 0.093 & 0.719 & 0.11 & 0.402 & 0.268 \tabularnewline
Wbr & -0.383 & -0.218 & 0.83 & 0.093 & 1 & 0.44 & -0.045 & 0.174 & 0.034 \tabularnewline
Tg & -0.621 & -0.468 & 0.691 & 0.719 & 0.44 & 1 & 0.132 & 0.566 & 0.335 \tabularnewline
P & -0.369 & -0.434 & -0.111 & 0.11 & -0.045 & 0.132 & 1 & 0.68 & 0.93 \tabularnewline
S & -0.58 & -0.533 & 0.319 & 0.402 & 0.174 & 0.566 & 0.68 & 1 & 0.819 \tabularnewline
D & -0.542 & -0.604 & 0.06 & 0.268 & 0.034 & 0.335 & 0.93 & 0.819 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108924&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]-0.383[/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]-0.218[/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]0.83[/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]0.093[/C][C]0.719[/C][C]0.11[/C][C]0.402[/C][C]0.268[/C][/ROW]
[ROW][C]Wbr[/C][C]-0.383[/C][C]-0.218[/C][C]0.83[/C][C]0.093[/C][C]1[/C][C]0.44[/C][C]-0.045[/C][C]0.174[/C][C]0.034[/C][/ROW]
[ROW][C]Tg[/C][C]-0.621[/C][C]-0.468[/C][C]0.691[/C][C]0.719[/C][C]0.44[/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]-0.045[/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]0.174[/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]0.034[/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=108924&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108924&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
SWS10.53-0.385-0.395-0.383-0.621-0.369-0.58-0.542
PS0.531-0.241-0.088-0.218-0.468-0.434-0.533-0.604
L-0.385-0.24110.4920.830.691-0.1110.3190.06
Wb-0.395-0.0880.49210.0930.7190.110.4020.268
Wbr-0.383-0.2180.830.09310.44-0.0450.1740.034
Tg-0.621-0.4680.6910.7190.4410.1320.5660.335
P-0.369-0.434-0.1110.11-0.0450.13210.680.93
S-0.58-0.5330.3190.4020.1740.5660.6810.819
D-0.542-0.6040.060.2680.0340.3350.930.8191







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-0.3831-0.6265-0.4547
p-value(0.0161)(0)(1e-04)
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-0.2183-0.546-0.3452
p-value(0.1819)(3e-04)(0.0023)
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;Wbr0.830.78340.6209
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;Wbr0.09350.90820.7575
p-value(0.5713)(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;Tg0.43960.77580.5594
p-value(0.0051)(0)(0)
Wbr;P-0.04510.17280.1409
p-value(0.7853)(0.2928)(0.2437)
Wbr;S0.1740.57540.4661
p-value(0.2895)(1e-04)(1e-04)
Wbr;D0.0340.32710.2699
p-value(0.837)(0.0421)(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 & -0.3831 & -0.6265 & -0.4547 \tabularnewline
p-value & (0.0161) & (0) & (1e-04) \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 & -0.2183 & -0.546 & -0.3452 \tabularnewline
p-value & (0.1819) & (3e-04) & (0.0023) \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 & 0.83 & 0.7834 & 0.6209 \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 & 0.0935 & 0.9082 & 0.7575 \tabularnewline
p-value & (0.5713) & (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 & 0.4396 & 0.7758 & 0.5594 \tabularnewline
p-value & (0.0051) & (0) & (0) \tabularnewline
Wbr;P & -0.0451 & 0.1728 & 0.1409 \tabularnewline
p-value & (0.7853) & (0.2928) & (0.2437) \tabularnewline
Wbr;S & 0.174 & 0.5754 & 0.4661 \tabularnewline
p-value & (0.2895) & (1e-04) & (1e-04) \tabularnewline
Wbr;D & 0.034 & 0.3271 & 0.2699 \tabularnewline
p-value & (0.837) & (0.0421) & (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=108924&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]-0.3831[/C][C]-0.6265[/C][C]-0.4547[/C][/ROW]
[ROW][C]p-value[/C][C](0.0161)[/C][C](0)[/C][C](1e-04)[/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]-0.2183[/C][C]-0.546[/C][C]-0.3452[/C][/ROW]
[ROW][C]p-value[/C][C](0.1819)[/C][C](3e-04)[/C][C](0.0023)[/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]0.83[/C][C]0.7834[/C][C]0.6209[/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]0.0935[/C][C]0.9082[/C][C]0.7575[/C][/ROW]
[ROW][C]p-value[/C][C](0.5713)[/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]0.4396[/C][C]0.7758[/C][C]0.5594[/C][/ROW]
[ROW][C]p-value[/C][C](0.0051)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Wbr;P[/C][C]-0.0451[/C][C]0.1728[/C][C]0.1409[/C][/ROW]
[ROW][C]p-value[/C][C](0.7853)[/C][C](0.2928)[/C][C](0.2437)[/C][/ROW]
[ROW][C]Wbr;S[/C][C]0.174[/C][C]0.5754[/C][C]0.4661[/C][/ROW]
[ROW][C]p-value[/C][C](0.2895)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Wbr;D[/C][C]0.034[/C][C]0.3271[/C][C]0.2699[/C][/ROW]
[ROW][C]p-value[/C][C](0.837)[/C][C](0.0421)[/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=108924&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108924&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-0.3831-0.6265-0.4547
p-value(0.0161)(0)(1e-04)
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-0.2183-0.546-0.3452
p-value(0.1819)(3e-04)(0.0023)
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;Wbr0.830.78340.6209
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;Wbr0.09350.90820.7575
p-value(0.5713)(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;Tg0.43960.77580.5594
p-value(0.0051)(0)(0)
Wbr;P-0.04510.17280.1409
p-value(0.7853)(0.2928)(0.2437)
Wbr;S0.1740.57540.4661
p-value(0.2895)(1e-04)(1e-04)
Wbr;D0.0340.32710.2699
p-value(0.837)(0.0421)(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')