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R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 06 Dec 2010 20:00:22 +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/06/t12916655919cs8u2b4ufe8lka.htm/, Retrieved Sun, 28 Apr 2024 20:39:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105842, Retrieved Sun, 28 Apr 2024 20:39:37 +0000
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IsPrivate?No (this computation is public)
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Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [mammels correlatie] [2010-12-06 20:00:22] [380f6bceef280be3d93cc6fafd18141e] [Current]
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Dataseries X:
6,3	2	4,5	1	6,6	42	3	1	3
2,1	1,8	69	2547	4603	624	3	5	4
9,1	0,7	27	10,55	179,5	180	4	4	4
15,8	3,9	19	0,023	0,3	35	1	1	1
5,2	1	30,4	160	169	392	4	5	4
10,9	3,6	28	3,3	25,6	63	1	2	1
8,3	1,4	50	52,16	440	230	1	1	1
11	1,5	7	0,425	6,4	112	5	4	4
3,2	0,7	30	465	423	281	5	5	5
6,3	2,1	3,5	0,075	1,2	42	1	1	1
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
3,3	0,5	20	27,66	115	148	5	5	5
11	3,4	3,9	0,12	1	16	3	1	2
4,7	1,5	41	85	325	310	1	3	1
10,4	3,4	9	0,101	4	28	5	1	3
7,4	0,8	7,6	1,04	5,5	68	5	3	4
2,1	0,8	46	521	655	336	5	5	5
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
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
15,2	1,8	12	0,48	15,5	140	2	2	2
10	0,9	20,2	10	115	170	4	4	4
11,9	1,8	13	1,62	11,4	17	2	1	2
6,5	1,9	27	192	180	115	4	4	4
7,5	0,9	18	2,5	12,1	31	5	5	5
10,6	2,6	4,7	0,28	1,9	21	3	1	3
7,4	2,4	9,8	4,235	50,4	52	1	1	1
8,4	1,2	29	6,8	179	164	2	3	2
5,7	0,9	7	0,75	12,3	225	2	2	2
4,9	0,5	6	3,6	21	225	3	2	3
3,2	0,6	20	55,5	175	151	5	5	5
11	2,3	4,5	0,9	2,6	60	2	1	2
4,9	0,5	7,5	2	12,3	200	3	1	3
13,2	2,6	2,3	0,104	2,5	46	3	2	2
9,7	0,6	24	4,19	58	210	4	3	4
12,8	6,6	3	3,5	3,9	14	2	1	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 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 & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105842&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]6 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=105842&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105842&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 time6 seconds
R Server'George Udny Yule' @ 72.249.76.132







Correlations for all pairs of data series (method=pearson)
SWSPSLifeSpanBodyWBrainWGTPISEIODI
SWS10.518-0.372-0.394-0.387-0.606-0.353-0.58-0.535
PS0.5181-0.268-0.075-0.074-0.409-0.398-0.504-0.572
LifeSpan-0.372-0.26810.470.6290.646-0.170.3160.015
BodyW-0.394-0.0750.4710.9560.7140.0960.4060.259
BrainW-0.387-0.0740.6290.95610.734-0.0150.3230.151
GT-0.606-0.4090.6460.7140.73410.0910.5730.306
PI-0.353-0.398-0.170.096-0.0150.09110.6260.927
SEI-0.58-0.5040.3160.4060.3230.5730.62610.79
ODI-0.535-0.5720.0150.2590.1510.3060.9270.791

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & SWS & PS & LifeSpan & BodyW & BrainW & GT & PI & SEI & ODI \tabularnewline
SWS & 1 & 0.518 & -0.372 & -0.394 & -0.387 & -0.606 & -0.353 & -0.58 & -0.535 \tabularnewline
PS & 0.518 & 1 & -0.268 & -0.075 & -0.074 & -0.409 & -0.398 & -0.504 & -0.572 \tabularnewline
LifeSpan & -0.372 & -0.268 & 1 & 0.47 & 0.629 & 0.646 & -0.17 & 0.316 & 0.015 \tabularnewline
BodyW & -0.394 & -0.075 & 0.47 & 1 & 0.956 & 0.714 & 0.096 & 0.406 & 0.259 \tabularnewline
BrainW & -0.387 & -0.074 & 0.629 & 0.956 & 1 & 0.734 & -0.015 & 0.323 & 0.151 \tabularnewline
GT & -0.606 & -0.409 & 0.646 & 0.714 & 0.734 & 1 & 0.091 & 0.573 & 0.306 \tabularnewline
PI & -0.353 & -0.398 & -0.17 & 0.096 & -0.015 & 0.091 & 1 & 0.626 & 0.927 \tabularnewline
SEI & -0.58 & -0.504 & 0.316 & 0.406 & 0.323 & 0.573 & 0.626 & 1 & 0.79 \tabularnewline
ODI & -0.535 & -0.572 & 0.015 & 0.259 & 0.151 & 0.306 & 0.927 & 0.79 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105842&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]LifeSpan[/C][C]BodyW[/C][C]BrainW[/C][C]GT[/C][C]PI[/C][C]SEI[/C][C]ODI[/C][/ROW]
[ROW][C]SWS[/C][C]1[/C][C]0.518[/C][C]-0.372[/C][C]-0.394[/C][C]-0.387[/C][C]-0.606[/C][C]-0.353[/C][C]-0.58[/C][C]-0.535[/C][/ROW]
[ROW][C]PS[/C][C]0.518[/C][C]1[/C][C]-0.268[/C][C]-0.075[/C][C]-0.074[/C][C]-0.409[/C][C]-0.398[/C][C]-0.504[/C][C]-0.572[/C][/ROW]
[ROW][C]LifeSpan[/C][C]-0.372[/C][C]-0.268[/C][C]1[/C][C]0.47[/C][C]0.629[/C][C]0.646[/C][C]-0.17[/C][C]0.316[/C][C]0.015[/C][/ROW]
[ROW][C]BodyW[/C][C]-0.394[/C][C]-0.075[/C][C]0.47[/C][C]1[/C][C]0.956[/C][C]0.714[/C][C]0.096[/C][C]0.406[/C][C]0.259[/C][/ROW]
[ROW][C]BrainW[/C][C]-0.387[/C][C]-0.074[/C][C]0.629[/C][C]0.956[/C][C]1[/C][C]0.734[/C][C]-0.015[/C][C]0.323[/C][C]0.151[/C][/ROW]
[ROW][C]GT[/C][C]-0.606[/C][C]-0.409[/C][C]0.646[/C][C]0.714[/C][C]0.734[/C][C]1[/C][C]0.091[/C][C]0.573[/C][C]0.306[/C][/ROW]
[ROW][C]PI[/C][C]-0.353[/C][C]-0.398[/C][C]-0.17[/C][C]0.096[/C][C]-0.015[/C][C]0.091[/C][C]1[/C][C]0.626[/C][C]0.927[/C][/ROW]
[ROW][C]SEI[/C][C]-0.58[/C][C]-0.504[/C][C]0.316[/C][C]0.406[/C][C]0.323[/C][C]0.573[/C][C]0.626[/C][C]1[/C][C]0.79[/C][/ROW]
[ROW][C]ODI[/C][C]-0.535[/C][C]-0.572[/C][C]0.015[/C][C]0.259[/C][C]0.151[/C][C]0.306[/C][C]0.927[/C][C]0.79[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105842&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105842&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)
SWSPSLifeSpanBodyWBrainWGTPISEIODI
SWS10.518-0.372-0.394-0.387-0.606-0.353-0.58-0.535
PS0.5181-0.268-0.075-0.074-0.409-0.398-0.504-0.572
LifeSpan-0.372-0.26810.470.6290.646-0.170.3160.015
BodyW-0.394-0.0750.4710.9560.7140.0960.4060.259
BrainW-0.387-0.0740.6290.95610.734-0.0150.3230.151
GT-0.606-0.4090.6460.7140.73410.0910.5730.306
PI-0.353-0.398-0.170.096-0.0150.09110.6260.927
SEI-0.58-0.5040.3160.4060.3230.5730.62610.79
ODI-0.535-0.5720.0150.2590.1510.3060.9270.791







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
SWS;PS0.51820.56410.3924
p-value(4e-04)(1e-04)(3e-04)
SWS;LifeSpan-0.3722-0.4014-0.2778
p-value(0.0152)(0.0084)(0.0101)
SWS;BodyW-0.3936-0.6189-0.4465
p-value(0.0099)(0)(0)
SWS;BrainW-0.3868-0.6218-0.4559
p-value(0.0114)(0)(0)
SWS;GT-0.6061-0.6298-0.4628
p-value(0)(0)(0)
SWS;PI-0.3527-0.2896-0.224
p-value(0.022)(0.0629)(0.0545)
SWS;SEI-0.5803-0.5428-0.4242
p-value(1e-04)(2e-04)(3e-04)
SWS;ODI-0.5346-0.4751-0.3771
p-value(3e-04)(0.0015)(0.0012)
PS;LifeSpan-0.2683-0.4118-0.2562
p-value(0.0858)(0.0067)(0.0185)
PS;BodyW-0.0749-0.4041-0.2472
p-value(0.6374)(0.0079)(0.0227)
PS;BrainW-0.0743-0.4917-0.2967
p-value(0.6401)(9e-04)(0.0062)
PS;GT-0.4089-0.5528-0.387
p-value(0.0072)(1e-04)(4e-04)
PS;PI-0.398-0.4703-0.3417
p-value(0.0091)(0.0017)(0.0036)
PS;SEI-0.5036-0.6061-0.4586
p-value(7e-04)(0)(1e-04)
PS;ODI-0.5719-0.6303-0.4859
p-value(1e-04)(0)(0)
LifeSpan;BodyW0.46980.72140.5417
p-value(0.0017)(0)(0)
LifeSpan;BrainW0.62940.81510.6585
p-value(0)(0)(0)
LifeSpan;GT0.64640.66020.4915
p-value(0)(0)(0)
LifeSpan;PI-0.1697-0.0932-0.0841
p-value(0.2825)(0.557)(0.4701)
LifeSpan;SEI0.31570.50420.3844
p-value(0.0417)(7e-04)(0.0012)
LifeSpan;ODI0.01470.12470.0922
p-value(0.9265)(0.4313)(0.4292)
BodyW;BrainW0.95580.93840.8114
p-value(0)(0)(0)
BodyW;GT0.71430.70360.5169
p-value(0)(0)(0)
BodyW;PI0.09590.10830.0761
p-value(0.5458)(0.495)(0.5122)
BodyW;SEI0.40560.57680.463
p-value(0.0077)(1e-04)(1e-04)
BodyW;ODI0.25930.28420.2007
p-value(0.0972)(0.0682)(0.0844)
BrainW;GT0.73350.78480.5799
p-value(0)(0)(0)
BrainW;PI-0.01540.06660.0438
p-value(0.923)(0.6751)(0.7056)
BrainW;SEI0.32320.58550.4765
p-value(0.0368)(0)(1e-04)
BrainW;ODI0.15090.26710.1995
p-value(0.34)(0.0873)(0.0865)
GT;PI0.09080.05790.0349
p-value(0.5674)(0.7156)(0.7641)
GT;SEI0.57350.56930.4532
p-value(1e-04)(1e-04)(1e-04)
GT;ODI0.30620.2680.1947
p-value(0.0486)(0.0862)(0.0949)
PI;SEI0.62570.57010.4755
p-value(0)(1e-04)(2e-04)
PI;ODI0.92730.93040.8709
p-value(0)(0)(0)
SEI;ODI0.78980.72390.6292
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 & 0.5182 & 0.5641 & 0.3924 \tabularnewline
p-value & (4e-04) & (1e-04) & (3e-04) \tabularnewline
SWS;LifeSpan & -0.3722 & -0.4014 & -0.2778 \tabularnewline
p-value & (0.0152) & (0.0084) & (0.0101) \tabularnewline
SWS;BodyW & -0.3936 & -0.6189 & -0.4465 \tabularnewline
p-value & (0.0099) & (0) & (0) \tabularnewline
SWS;BrainW & -0.3868 & -0.6218 & -0.4559 \tabularnewline
p-value & (0.0114) & (0) & (0) \tabularnewline
SWS;GT & -0.6061 & -0.6298 & -0.4628 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;PI & -0.3527 & -0.2896 & -0.224 \tabularnewline
p-value & (0.022) & (0.0629) & (0.0545) \tabularnewline
SWS;SEI & -0.5803 & -0.5428 & -0.4242 \tabularnewline
p-value & (1e-04) & (2e-04) & (3e-04) \tabularnewline
SWS;ODI & -0.5346 & -0.4751 & -0.3771 \tabularnewline
p-value & (3e-04) & (0.0015) & (0.0012) \tabularnewline
PS;LifeSpan & -0.2683 & -0.4118 & -0.2562 \tabularnewline
p-value & (0.0858) & (0.0067) & (0.0185) \tabularnewline
PS;BodyW & -0.0749 & -0.4041 & -0.2472 \tabularnewline
p-value & (0.6374) & (0.0079) & (0.0227) \tabularnewline
PS;BrainW & -0.0743 & -0.4917 & -0.2967 \tabularnewline
p-value & (0.6401) & (9e-04) & (0.0062) \tabularnewline
PS;GT & -0.4089 & -0.5528 & -0.387 \tabularnewline
p-value & (0.0072) & (1e-04) & (4e-04) \tabularnewline
PS;PI & -0.398 & -0.4703 & -0.3417 \tabularnewline
p-value & (0.0091) & (0.0017) & (0.0036) \tabularnewline
PS;SEI & -0.5036 & -0.6061 & -0.4586 \tabularnewline
p-value & (7e-04) & (0) & (1e-04) \tabularnewline
PS;ODI & -0.5719 & -0.6303 & -0.4859 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
LifeSpan;BodyW & 0.4698 & 0.7214 & 0.5417 \tabularnewline
p-value & (0.0017) & (0) & (0) \tabularnewline
LifeSpan;BrainW & 0.6294 & 0.8151 & 0.6585 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LifeSpan;GT & 0.6464 & 0.6602 & 0.4915 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LifeSpan;PI & -0.1697 & -0.0932 & -0.0841 \tabularnewline
p-value & (0.2825) & (0.557) & (0.4701) \tabularnewline
LifeSpan;SEI & 0.3157 & 0.5042 & 0.3844 \tabularnewline
p-value & (0.0417) & (7e-04) & (0.0012) \tabularnewline
LifeSpan;ODI & 0.0147 & 0.1247 & 0.0922 \tabularnewline
p-value & (0.9265) & (0.4313) & (0.4292) \tabularnewline
BodyW;BrainW & 0.9558 & 0.9384 & 0.8114 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BodyW;GT & 0.7143 & 0.7036 & 0.5169 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BodyW;PI & 0.0959 & 0.1083 & 0.0761 \tabularnewline
p-value & (0.5458) & (0.495) & (0.5122) \tabularnewline
BodyW;SEI & 0.4056 & 0.5768 & 0.463 \tabularnewline
p-value & (0.0077) & (1e-04) & (1e-04) \tabularnewline
BodyW;ODI & 0.2593 & 0.2842 & 0.2007 \tabularnewline
p-value & (0.0972) & (0.0682) & (0.0844) \tabularnewline
BrainW;GT & 0.7335 & 0.7848 & 0.5799 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BrainW;PI & -0.0154 & 0.0666 & 0.0438 \tabularnewline
p-value & (0.923) & (0.6751) & (0.7056) \tabularnewline
BrainW;SEI & 0.3232 & 0.5855 & 0.4765 \tabularnewline
p-value & (0.0368) & (0) & (1e-04) \tabularnewline
BrainW;ODI & 0.1509 & 0.2671 & 0.1995 \tabularnewline
p-value & (0.34) & (0.0873) & (0.0865) \tabularnewline
GT;PI & 0.0908 & 0.0579 & 0.0349 \tabularnewline
p-value & (0.5674) & (0.7156) & (0.7641) \tabularnewline
GT;SEI & 0.5735 & 0.5693 & 0.4532 \tabularnewline
p-value & (1e-04) & (1e-04) & (1e-04) \tabularnewline
GT;ODI & 0.3062 & 0.268 & 0.1947 \tabularnewline
p-value & (0.0486) & (0.0862) & (0.0949) \tabularnewline
PI;SEI & 0.6257 & 0.5701 & 0.4755 \tabularnewline
p-value & (0) & (1e-04) & (2e-04) \tabularnewline
PI;ODI & 0.9273 & 0.9304 & 0.8709 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SEI;ODI & 0.7898 & 0.7239 & 0.6292 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105842&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]0.5182[/C][C]0.5641[/C][C]0.3924[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](1e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]SWS;LifeSpan[/C][C]-0.3722[/C][C]-0.4014[/C][C]-0.2778[/C][/ROW]
[ROW][C]p-value[/C][C](0.0152)[/C][C](0.0084)[/C][C](0.0101)[/C][/ROW]
[ROW][C]SWS;BodyW[/C][C]-0.3936[/C][C]-0.6189[/C][C]-0.4465[/C][/ROW]
[ROW][C]p-value[/C][C](0.0099)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;BrainW[/C][C]-0.3868[/C][C]-0.6218[/C][C]-0.4559[/C][/ROW]
[ROW][C]p-value[/C][C](0.0114)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;GT[/C][C]-0.6061[/C][C]-0.6298[/C][C]-0.4628[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;PI[/C][C]-0.3527[/C][C]-0.2896[/C][C]-0.224[/C][/ROW]
[ROW][C]p-value[/C][C](0.022)[/C][C](0.0629)[/C][C](0.0545)[/C][/ROW]
[ROW][C]SWS;SEI[/C][C]-0.5803[/C][C]-0.5428[/C][C]-0.4242[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](2e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]SWS;ODI[/C][C]-0.5346[/C][C]-0.4751[/C][C]-0.3771[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0015)[/C][C](0.0012)[/C][/ROW]
[ROW][C]PS;LifeSpan[/C][C]-0.2683[/C][C]-0.4118[/C][C]-0.2562[/C][/ROW]
[ROW][C]p-value[/C][C](0.0858)[/C][C](0.0067)[/C][C](0.0185)[/C][/ROW]
[ROW][C]PS;BodyW[/C][C]-0.0749[/C][C]-0.4041[/C][C]-0.2472[/C][/ROW]
[ROW][C]p-value[/C][C](0.6374)[/C][C](0.0079)[/C][C](0.0227)[/C][/ROW]
[ROW][C]PS;BrainW[/C][C]-0.0743[/C][C]-0.4917[/C][C]-0.2967[/C][/ROW]
[ROW][C]p-value[/C][C](0.6401)[/C][C](9e-04)[/C][C](0.0062)[/C][/ROW]
[ROW][C]PS;GT[/C][C]-0.4089[/C][C]-0.5528[/C][C]-0.387[/C][/ROW]
[ROW][C]p-value[/C][C](0.0072)[/C][C](1e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]PS;PI[/C][C]-0.398[/C][C]-0.4703[/C][C]-0.3417[/C][/ROW]
[ROW][C]p-value[/C][C](0.0091)[/C][C](0.0017)[/C][C](0.0036)[/C][/ROW]
[ROW][C]PS;SEI[/C][C]-0.5036[/C][C]-0.6061[/C][C]-0.4586[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PS;ODI[/C][C]-0.5719[/C][C]-0.6303[/C][C]-0.4859[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LifeSpan;BodyW[/C][C]0.4698[/C][C]0.7214[/C][C]0.5417[/C][/ROW]
[ROW][C]p-value[/C][C](0.0017)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LifeSpan;BrainW[/C][C]0.6294[/C][C]0.8151[/C][C]0.6585[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LifeSpan;GT[/C][C]0.6464[/C][C]0.6602[/C][C]0.4915[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LifeSpan;PI[/C][C]-0.1697[/C][C]-0.0932[/C][C]-0.0841[/C][/ROW]
[ROW][C]p-value[/C][C](0.2825)[/C][C](0.557)[/C][C](0.4701)[/C][/ROW]
[ROW][C]LifeSpan;SEI[/C][C]0.3157[/C][C]0.5042[/C][C]0.3844[/C][/ROW]
[ROW][C]p-value[/C][C](0.0417)[/C][C](7e-04)[/C][C](0.0012)[/C][/ROW]
[ROW][C]LifeSpan;ODI[/C][C]0.0147[/C][C]0.1247[/C][C]0.0922[/C][/ROW]
[ROW][C]p-value[/C][C](0.9265)[/C][C](0.4313)[/C][C](0.4292)[/C][/ROW]
[ROW][C]BodyW;BrainW[/C][C]0.9558[/C][C]0.9384[/C][C]0.8114[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BodyW;GT[/C][C]0.7143[/C][C]0.7036[/C][C]0.5169[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BodyW;PI[/C][C]0.0959[/C][C]0.1083[/C][C]0.0761[/C][/ROW]
[ROW][C]p-value[/C][C](0.5458)[/C][C](0.495)[/C][C](0.5122)[/C][/ROW]
[ROW][C]BodyW;SEI[/C][C]0.4056[/C][C]0.5768[/C][C]0.463[/C][/ROW]
[ROW][C]p-value[/C][C](0.0077)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]BodyW;ODI[/C][C]0.2593[/C][C]0.2842[/C][C]0.2007[/C][/ROW]
[ROW][C]p-value[/C][C](0.0972)[/C][C](0.0682)[/C][C](0.0844)[/C][/ROW]
[ROW][C]BrainW;GT[/C][C]0.7335[/C][C]0.7848[/C][C]0.5799[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BrainW;PI[/C][C]-0.0154[/C][C]0.0666[/C][C]0.0438[/C][/ROW]
[ROW][C]p-value[/C][C](0.923)[/C][C](0.6751)[/C][C](0.7056)[/C][/ROW]
[ROW][C]BrainW;SEI[/C][C]0.3232[/C][C]0.5855[/C][C]0.4765[/C][/ROW]
[ROW][C]p-value[/C][C](0.0368)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]BrainW;ODI[/C][C]0.1509[/C][C]0.2671[/C][C]0.1995[/C][/ROW]
[ROW][C]p-value[/C][C](0.34)[/C][C](0.0873)[/C][C](0.0865)[/C][/ROW]
[ROW][C]GT;PI[/C][C]0.0908[/C][C]0.0579[/C][C]0.0349[/C][/ROW]
[ROW][C]p-value[/C][C](0.5674)[/C][C](0.7156)[/C][C](0.7641)[/C][/ROW]
[ROW][C]GT;SEI[/C][C]0.5735[/C][C]0.5693[/C][C]0.4532[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]GT;ODI[/C][C]0.3062[/C][C]0.268[/C][C]0.1947[/C][/ROW]
[ROW][C]p-value[/C][C](0.0486)[/C][C](0.0862)[/C][C](0.0949)[/C][/ROW]
[ROW][C]PI;SEI[/C][C]0.6257[/C][C]0.5701[/C][C]0.4755[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]PI;ODI[/C][C]0.9273[/C][C]0.9304[/C][C]0.8709[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SEI;ODI[/C][C]0.7898[/C][C]0.7239[/C][C]0.6292[/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=105842&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105842&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;PS0.51820.56410.3924
p-value(4e-04)(1e-04)(3e-04)
SWS;LifeSpan-0.3722-0.4014-0.2778
p-value(0.0152)(0.0084)(0.0101)
SWS;BodyW-0.3936-0.6189-0.4465
p-value(0.0099)(0)(0)
SWS;BrainW-0.3868-0.6218-0.4559
p-value(0.0114)(0)(0)
SWS;GT-0.6061-0.6298-0.4628
p-value(0)(0)(0)
SWS;PI-0.3527-0.2896-0.224
p-value(0.022)(0.0629)(0.0545)
SWS;SEI-0.5803-0.5428-0.4242
p-value(1e-04)(2e-04)(3e-04)
SWS;ODI-0.5346-0.4751-0.3771
p-value(3e-04)(0.0015)(0.0012)
PS;LifeSpan-0.2683-0.4118-0.2562
p-value(0.0858)(0.0067)(0.0185)
PS;BodyW-0.0749-0.4041-0.2472
p-value(0.6374)(0.0079)(0.0227)
PS;BrainW-0.0743-0.4917-0.2967
p-value(0.6401)(9e-04)(0.0062)
PS;GT-0.4089-0.5528-0.387
p-value(0.0072)(1e-04)(4e-04)
PS;PI-0.398-0.4703-0.3417
p-value(0.0091)(0.0017)(0.0036)
PS;SEI-0.5036-0.6061-0.4586
p-value(7e-04)(0)(1e-04)
PS;ODI-0.5719-0.6303-0.4859
p-value(1e-04)(0)(0)
LifeSpan;BodyW0.46980.72140.5417
p-value(0.0017)(0)(0)
LifeSpan;BrainW0.62940.81510.6585
p-value(0)(0)(0)
LifeSpan;GT0.64640.66020.4915
p-value(0)(0)(0)
LifeSpan;PI-0.1697-0.0932-0.0841
p-value(0.2825)(0.557)(0.4701)
LifeSpan;SEI0.31570.50420.3844
p-value(0.0417)(7e-04)(0.0012)
LifeSpan;ODI0.01470.12470.0922
p-value(0.9265)(0.4313)(0.4292)
BodyW;BrainW0.95580.93840.8114
p-value(0)(0)(0)
BodyW;GT0.71430.70360.5169
p-value(0)(0)(0)
BodyW;PI0.09590.10830.0761
p-value(0.5458)(0.495)(0.5122)
BodyW;SEI0.40560.57680.463
p-value(0.0077)(1e-04)(1e-04)
BodyW;ODI0.25930.28420.2007
p-value(0.0972)(0.0682)(0.0844)
BrainW;GT0.73350.78480.5799
p-value(0)(0)(0)
BrainW;PI-0.01540.06660.0438
p-value(0.923)(0.6751)(0.7056)
BrainW;SEI0.32320.58550.4765
p-value(0.0368)(0)(1e-04)
BrainW;ODI0.15090.26710.1995
p-value(0.34)(0.0873)(0.0865)
GT;PI0.09080.05790.0349
p-value(0.5674)(0.7156)(0.7641)
GT;SEI0.57350.56930.4532
p-value(1e-04)(1e-04)(1e-04)
GT;ODI0.30620.2680.1947
p-value(0.0486)(0.0862)(0.0949)
PI;SEI0.62570.57010.4755
p-value(0)(1e-04)(2e-04)
PI;ODI0.92730.93040.8709
p-value(0)(0)(0)
SEI;ODI0.78980.72390.6292
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')