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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Sat, 18 Dec 2010 12:13:27 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/18/t1292674289i9d41k1wilg9uu0.htm/, Retrieved Tue, 30 Apr 2024 02:54:08 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=111877, Retrieved Tue, 30 Apr 2024 02:54:08 +0000

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-       [Kendall tau Correlation Matrix] [bonustaak, correl...] [2010-12-18 12:13:27] [39ab8462d2190635c809d7a35eacc961] [Current]

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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
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
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
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
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
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
11,9	1,8	13	1,62	11,4	17	2	1	2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111877&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111877&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111877&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=pearson)
	SWS	PS	LifeSpan	BodyW	BrainW	GT	PI	SEI	ODI
SWS	1	0.522	-0.403	-0.404	-0.398	-0.616	-0.387	-0.59	-0.558
PS	0.522	1	-0.257	-0.094	-0.095	-0.461	-0.453	-0.543	-0.62
LifeSpan	-0.403	-0.257	1	0.491	0.659	0.711	-0.122	0.317	0.053
BodyW	-0.404	-0.094	0.491	1	0.956	0.729	0.106	0.401	0.266
BrainW	-0.398	-0.095	0.659	0.956	1	0.748	-0.008	0.316	0.156
GT	-0.616	-0.461	0.711	0.729	0.748	1	0.144	0.575	0.347
PI	-0.387	-0.453	-0.122	0.106	-0.008	0.144	1	0.68	0.93
SEI	-0.59	-0.543	0.317	0.401	0.316	0.575	0.68	1	0.819
ODI	-0.558	-0.62	0.053	0.266	0.156	0.347	0.93	0.819	1

\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 & 0.522 & -0.403 & -0.404 & -0.398 & -0.616 & -0.387 & -0.59 & -0.558 \tabularnewline
PS & 0.522 & 1 & -0.257 & -0.094 & -0.095 & -0.461 & -0.453 & -0.543 & -0.62 \tabularnewline
LifeSpan & -0.403 & -0.257 & 1 & 0.491 & 0.659 & 0.711 & -0.122 & 0.317 & 0.053 \tabularnewline
BodyW & -0.404 & -0.094 & 0.491 & 1 & 0.956 & 0.729 & 0.106 & 0.401 & 0.266 \tabularnewline
BrainW & -0.398 & -0.095 & 0.659 & 0.956 & 1 & 0.748 & -0.008 & 0.316 & 0.156 \tabularnewline
GT & -0.616 & -0.461 & 0.711 & 0.729 & 0.748 & 1 & 0.144 & 0.575 & 0.347 \tabularnewline
PI & -0.387 & -0.453 & -0.122 & 0.106 & -0.008 & 0.144 & 1 & 0.68 & 0.93 \tabularnewline
SEI & -0.59 & -0.543 & 0.317 & 0.401 & 0.316 & 0.575 & 0.68 & 1 & 0.819 \tabularnewline
ODI & -0.558 & -0.62 & 0.053 & 0.266 & 0.156 & 0.347 & 0.93 & 0.819 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111877&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]0.522[/C][C]-0.403[/C][C]-0.404[/C][C]-0.398[/C][C]-0.616[/C][C]-0.387[/C][C]-0.59[/C][C]-0.558[/C][/ROW]
[ROW][C]PS[/C][C]0.522[/C][C]1[/C][C]-0.257[/C][C]-0.094[/C][C]-0.095[/C][C]-0.461[/C][C]-0.453[/C][C]-0.543[/C][C]-0.62[/C][/ROW]
[ROW][C]LifeSpan[/C][C]-0.403[/C][C]-0.257[/C][C]1[/C][C]0.491[/C][C]0.659[/C][C]0.711[/C][C]-0.122[/C][C]0.317[/C][C]0.053[/C][/ROW]
[ROW][C]BodyW[/C][C]-0.404[/C][C]-0.094[/C][C]0.491[/C][C]1[/C][C]0.956[/C][C]0.729[/C][C]0.106[/C][C]0.401[/C][C]0.266[/C][/ROW]
[ROW][C]BrainW[/C][C]-0.398[/C][C]-0.095[/C][C]0.659[/C][C]0.956[/C][C]1[/C][C]0.748[/C][C]-0.008[/C][C]0.316[/C][C]0.156[/C][/ROW]
[ROW][C]GT[/C][C]-0.616[/C][C]-0.461[/C][C]0.711[/C][C]0.729[/C][C]0.748[/C][C]1[/C][C]0.144[/C][C]0.575[/C][C]0.347[/C][/ROW]
[ROW][C]PI[/C][C]-0.387[/C][C]-0.453[/C][C]-0.122[/C][C]0.106[/C][C]-0.008[/C][C]0.144[/C][C]1[/C][C]0.68[/C][C]0.93[/C][/ROW]
[ROW][C]SEI[/C][C]-0.59[/C][C]-0.543[/C][C]0.317[/C][C]0.401[/C][C]0.316[/C][C]0.575[/C][C]0.68[/C][C]1[/C][C]0.819[/C][/ROW]
[ROW][C]ODI[/C][C]-0.558[/C][C]-0.62[/C][C]0.053[/C][C]0.266[/C][C]0.156[/C][C]0.347[/C][C]0.93[/C][C]0.819[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111877&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111877&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)
	SWS	PS	LifeSpan	BodyW	BrainW	GT	PI	SEI	ODI
SWS	1	0.522	-0.403	-0.404	-0.398	-0.616	-0.387	-0.59	-0.558
PS	0.522	1	-0.257	-0.094	-0.095	-0.461	-0.453	-0.543	-0.62
LifeSpan	-0.403	-0.257	1	0.491	0.659	0.711	-0.122	0.317	0.053
BodyW	-0.404	-0.094	0.491	1	0.956	0.729	0.106	0.401	0.266
BrainW	-0.398	-0.095	0.659	0.956	1	0.748	-0.008	0.316	0.156
GT	-0.616	-0.461	0.711	0.729	0.748	1	0.144	0.575	0.347
PI	-0.387	-0.453	-0.122	0.106	-0.008	0.144	1	0.68	0.93
SEI	-0.59	-0.543	0.317	0.401	0.316	0.575	0.68	1	0.819
ODI	-0.558	-0.62	0.053	0.266	0.156	0.347	0.93	0.819	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
SWS;PS	0.5224	0.5772	0.4041
p-value	(8e-04)	(1e-04)	(4e-04)
SWS;LifeSpan	-0.4026	-0.4493	-0.3147
p-value	(0.0122)	(0.0047)	(0.0058)
SWS;BodyW	-0.4037	-0.6854	-0.5047
p-value	(0.012)	(0)	(0)
SWS;BrainW	-0.3976	-0.6658	-0.4943
p-value	(0.0134)	(0)	(0)
SWS;GT	-0.6156	-0.6441	-0.4724
p-value	(0)	(0)	(0)
SWS;PI	-0.3867	-0.3289	-0.2533
p-value	(0.0165)	(0.0438)	(0.0393)
SWS;SEI	-0.5901	-0.5498	-0.4316
p-value	(1e-04)	(3e-04)	(6e-04)
SWS;ODI	-0.5579	-0.5044	-0.4001
p-value	(3e-04)	(0.0012)	(0.0012)
PS;LifeSpan	-0.2568	-0.4051	-0.2455
p-value	(0.1196)	(0.0116)	(0.0323)
PS;BodyW	-0.0941	-0.4622	-0.2868
p-value	(0.5743)	(0.0035)	(0.0122)
PS;BrainW	-0.0955	-0.527	-0.3226
p-value	(0.5686)	(7e-04)	(0.0048)
PS;GT	-0.4607	-0.6552	-0.4661
p-value	(0.0036)	(0)	(0)
PS;PI	-0.4527	-0.5484	-0.4009
p-value	(0.0043)	(4e-04)	(0.0012)
PS;SEI	-0.543	-0.6169	-0.4706
p-value	(4e-04)	(0)	(2e-04)
PS;ODI	-0.6203	-0.6921	-0.5352
p-value	(0)	(0)	(0)
LifeSpan;BodyW	0.491	0.7148	0.5347
p-value	(0.0017)	(0)	(0)
LifeSpan;BrainW	0.6586	0.8089	0.6557
p-value	(0)	(0)	(0)
LifeSpan;GT	0.7107	0.7402	0.5612
p-value	(0)	(0)	(0)
LifeSpan;PI	-0.1224	0.0044	-0.0095
p-value	(0.4643)	(0.9793)	(0.9384)
LifeSpan;SEI	0.3168	0.526	0.4087
p-value	(0.0527)	(7e-04)	(0.0011)
LifeSpan;ODI	0.053	0.2044	0.159
p-value	(0.7518)	(0.2184)	(0.196)
BodyW;BrainW	0.9556	0.9391	0.8097
p-value	(0)	(0)	(0)
BodyW;GT	0.7289	0.746	0.55
p-value	(0)	(0)	(0)
BodyW;PI	0.1064	0.2113	0.1575
p-value	(0.5247)	(0.203)	(0.1978)
BodyW;SEI	0.4013	0.6074	0.4924
p-value	(0.0125)	(1e-04)	(1e-04)
BodyW;ODI	0.2662	0.3669	0.2792
p-value	(0.1063)	(0.0235)	(0.0229)
BrainW;GT	0.7476	0.8123	0.6081
p-value	(0)	(0)	(0)
BrainW;PI	-0.0084	0.1749	0.1322
p-value	(0.9602)	(0.2935)	(0.2794)
BrainW;SEI	0.3161	0.5962	0.4871
p-value	(0.0532)	(1e-04)	(1e-04)
BrainW;ODI	0.1564	0.3486	0.2758
p-value	(0.3485)	(0.032)	(0.0245)
GT;PI	0.1445	0.1405	0.0946
p-value	(0.3868)	(0.4001)	(0.4396)
GT;SEI	0.5751	0.5858	0.4748
p-value	(2e-04)	(1e-04)	(1e-04)
GT;ODI	0.3466	0.3345	0.2494
p-value	(0.033)	(0.0401)	(0.0424)
PI;SEI	0.6798	0.627	0.529
p-value	(0)	(0)	(1e-04)
PI;ODI	0.93	0.9319	0.8739
p-value	(0)	(0)	(0)
SEI;ODI	0.8191	0.7624	0.6673
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 & 0.5224 & 0.5772 & 0.4041 \tabularnewline
p-value & (8e-04) & (1e-04) & (4e-04) \tabularnewline
SWS;LifeSpan & -0.4026 & -0.4493 & -0.3147 \tabularnewline
p-value & (0.0122) & (0.0047) & (0.0058) \tabularnewline
SWS;BodyW & -0.4037 & -0.6854 & -0.5047 \tabularnewline
p-value & (0.012) & (0) & (0) \tabularnewline
SWS;BrainW & -0.3976 & -0.6658 & -0.4943 \tabularnewline
p-value & (0.0134) & (0) & (0) \tabularnewline
SWS;GT & -0.6156 & -0.6441 & -0.4724 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SWS;PI & -0.3867 & -0.3289 & -0.2533 \tabularnewline
p-value & (0.0165) & (0.0438) & (0.0393) \tabularnewline
SWS;SEI & -0.5901 & -0.5498 & -0.4316 \tabularnewline
p-value & (1e-04) & (3e-04) & (6e-04) \tabularnewline
SWS;ODI & -0.5579 & -0.5044 & -0.4001 \tabularnewline
p-value & (3e-04) & (0.0012) & (0.0012) \tabularnewline
PS;LifeSpan & -0.2568 & -0.4051 & -0.2455 \tabularnewline
p-value & (0.1196) & (0.0116) & (0.0323) \tabularnewline
PS;BodyW & -0.0941 & -0.4622 & -0.2868 \tabularnewline
p-value & (0.5743) & (0.0035) & (0.0122) \tabularnewline
PS;BrainW & -0.0955 & -0.527 & -0.3226 \tabularnewline
p-value & (0.5686) & (7e-04) & (0.0048) \tabularnewline
PS;GT & -0.4607 & -0.6552 & -0.4661 \tabularnewline
p-value & (0.0036) & (0) & (0) \tabularnewline
PS;PI & -0.4527 & -0.5484 & -0.4009 \tabularnewline
p-value & (0.0043) & (4e-04) & (0.0012) \tabularnewline
PS;SEI & -0.543 & -0.6169 & -0.4706 \tabularnewline
p-value & (4e-04) & (0) & (2e-04) \tabularnewline
PS;ODI & -0.6203 & -0.6921 & -0.5352 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LifeSpan;BodyW & 0.491 & 0.7148 & 0.5347 \tabularnewline
p-value & (0.0017) & (0) & (0) \tabularnewline
LifeSpan;BrainW & 0.6586 & 0.8089 & 0.6557 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LifeSpan;GT & 0.7107 & 0.7402 & 0.5612 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
LifeSpan;PI & -0.1224 & 0.0044 & -0.0095 \tabularnewline
p-value & (0.4643) & (0.9793) & (0.9384) \tabularnewline
LifeSpan;SEI & 0.3168 & 0.526 & 0.4087 \tabularnewline
p-value & (0.0527) & (7e-04) & (0.0011) \tabularnewline
LifeSpan;ODI & 0.053 & 0.2044 & 0.159 \tabularnewline
p-value & (0.7518) & (0.2184) & (0.196) \tabularnewline
BodyW;BrainW & 0.9556 & 0.9391 & 0.8097 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BodyW;GT & 0.7289 & 0.746 & 0.55 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BodyW;PI & 0.1064 & 0.2113 & 0.1575 \tabularnewline
p-value & (0.5247) & (0.203) & (0.1978) \tabularnewline
BodyW;SEI & 0.4013 & 0.6074 & 0.4924 \tabularnewline
p-value & (0.0125) & (1e-04) & (1e-04) \tabularnewline
BodyW;ODI & 0.2662 & 0.3669 & 0.2792 \tabularnewline
p-value & (0.1063) & (0.0235) & (0.0229) \tabularnewline
BrainW;GT & 0.7476 & 0.8123 & 0.6081 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BrainW;PI & -0.0084 & 0.1749 & 0.1322 \tabularnewline
p-value & (0.9602) & (0.2935) & (0.2794) \tabularnewline
BrainW;SEI & 0.3161 & 0.5962 & 0.4871 \tabularnewline
p-value & (0.0532) & (1e-04) & (1e-04) \tabularnewline
BrainW;ODI & 0.1564 & 0.3486 & 0.2758 \tabularnewline
p-value & (0.3485) & (0.032) & (0.0245) \tabularnewline
GT;PI & 0.1445 & 0.1405 & 0.0946 \tabularnewline
p-value & (0.3868) & (0.4001) & (0.4396) \tabularnewline
GT;SEI & 0.5751 & 0.5858 & 0.4748 \tabularnewline
p-value & (2e-04) & (1e-04) & (1e-04) \tabularnewline
GT;ODI & 0.3466 & 0.3345 & 0.2494 \tabularnewline
p-value & (0.033) & (0.0401) & (0.0424) \tabularnewline
PI;SEI & 0.6798 & 0.627 & 0.529 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
PI;ODI & 0.93 & 0.9319 & 0.8739 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SEI;ODI & 0.8191 & 0.7624 & 0.6673 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111877&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]0.5224[/C][C]0.5772[/C][C]0.4041[/C][/ROW]
[ROW][C]p-value[/C][C](8e-04)[/C][C](1e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]SWS;LifeSpan[/C][C]-0.4026[/C][C]-0.4493[/C][C]-0.3147[/C][/ROW]
[ROW][C]p-value[/C][C](0.0122)[/C][C](0.0047)[/C][C](0.0058)[/C][/ROW]
[ROW][C]SWS;BodyW[/C][C]-0.4037[/C][C]-0.6854[/C][C]-0.5047[/C][/ROW]
[ROW][C]p-value[/C][C](0.012)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;BrainW[/C][C]-0.3976[/C][C]-0.6658[/C][C]-0.4943[/C][/ROW]
[ROW][C]p-value[/C][C](0.0134)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;GT[/C][C]-0.6156[/C][C]-0.6441[/C][C]-0.4724[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SWS;PI[/C][C]-0.3867[/C][C]-0.3289[/C][C]-0.2533[/C][/ROW]
[ROW][C]p-value[/C][C](0.0165)[/C][C](0.0438)[/C][C](0.0393)[/C][/ROW]
[ROW][C]SWS;SEI[/C][C]-0.5901[/C][C]-0.5498[/C][C]-0.4316[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](3e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]SWS;ODI[/C][C]-0.5579[/C][C]-0.5044[/C][C]-0.4001[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0012)[/C][C](0.0012)[/C][/ROW]
[ROW][C]PS;LifeSpan[/C][C]-0.2568[/C][C]-0.4051[/C][C]-0.2455[/C][/ROW]
[ROW][C]p-value[/C][C](0.1196)[/C][C](0.0116)[/C][C](0.0323)[/C][/ROW]
[ROW][C]PS;BodyW[/C][C]-0.0941[/C][C]-0.4622[/C][C]-0.2868[/C][/ROW]
[ROW][C]p-value[/C][C](0.5743)[/C][C](0.0035)[/C][C](0.0122)[/C][/ROW]
[ROW][C]PS;BrainW[/C][C]-0.0955[/C][C]-0.527[/C][C]-0.3226[/C][/ROW]
[ROW][C]p-value[/C][C](0.5686)[/C][C](7e-04)[/C][C](0.0048)[/C][/ROW]
[ROW][C]PS;GT[/C][C]-0.4607[/C][C]-0.6552[/C][C]-0.4661[/C][/ROW]
[ROW][C]p-value[/C][C](0.0036)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;PI[/C][C]-0.4527[/C][C]-0.5484[/C][C]-0.4009[/C][/ROW]
[ROW][C]p-value[/C][C](0.0043)[/C][C](4e-04)[/C][C](0.0012)[/C][/ROW]
[ROW][C]PS;SEI[/C][C]-0.543[/C][C]-0.6169[/C][C]-0.4706[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0)[/C][C](2e-04)[/C][/ROW]
[ROW][C]PS;ODI[/C][C]-0.6203[/C][C]-0.6921[/C][C]-0.5352[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LifeSpan;BodyW[/C][C]0.491[/C][C]0.7148[/C][C]0.5347[/C][/ROW]
[ROW][C]p-value[/C][C](0.0017)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LifeSpan;BrainW[/C][C]0.6586[/C][C]0.8089[/C][C]0.6557[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LifeSpan;GT[/C][C]0.7107[/C][C]0.7402[/C][C]0.5612[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]LifeSpan;PI[/C][C]-0.1224[/C][C]0.0044[/C][C]-0.0095[/C][/ROW]
[ROW][C]p-value[/C][C](0.4643)[/C][C](0.9793)[/C][C](0.9384)[/C][/ROW]
[ROW][C]LifeSpan;SEI[/C][C]0.3168[/C][C]0.526[/C][C]0.4087[/C][/ROW]
[ROW][C]p-value[/C][C](0.0527)[/C][C](7e-04)[/C][C](0.0011)[/C][/ROW]
[ROW][C]LifeSpan;ODI[/C][C]0.053[/C][C]0.2044[/C][C]0.159[/C][/ROW]
[ROW][C]p-value[/C][C](0.7518)[/C][C](0.2184)[/C][C](0.196)[/C][/ROW]
[ROW][C]BodyW;BrainW[/C][C]0.9556[/C][C]0.9391[/C][C]0.8097[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BodyW;GT[/C][C]0.7289[/C][C]0.746[/C][C]0.55[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BodyW;PI[/C][C]0.1064[/C][C]0.2113[/C][C]0.1575[/C][/ROW]
[ROW][C]p-value[/C][C](0.5247)[/C][C](0.203)[/C][C](0.1978)[/C][/ROW]
[ROW][C]BodyW;SEI[/C][C]0.4013[/C][C]0.6074[/C][C]0.4924[/C][/ROW]
[ROW][C]p-value[/C][C](0.0125)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]BodyW;ODI[/C][C]0.2662[/C][C]0.3669[/C][C]0.2792[/C][/ROW]
[ROW][C]p-value[/C][C](0.1063)[/C][C](0.0235)[/C][C](0.0229)[/C][/ROW]
[ROW][C]BrainW;GT[/C][C]0.7476[/C][C]0.8123[/C][C]0.6081[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BrainW;PI[/C][C]-0.0084[/C][C]0.1749[/C][C]0.1322[/C][/ROW]
[ROW][C]p-value[/C][C](0.9602)[/C][C](0.2935)[/C][C](0.2794)[/C][/ROW]
[ROW][C]BrainW;SEI[/C][C]0.3161[/C][C]0.5962[/C][C]0.4871[/C][/ROW]
[ROW][C]p-value[/C][C](0.0532)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]BrainW;ODI[/C][C]0.1564[/C][C]0.3486[/C][C]0.2758[/C][/ROW]
[ROW][C]p-value[/C][C](0.3485)[/C][C](0.032)[/C][C](0.0245)[/C][/ROW]
[ROW][C]GT;PI[/C][C]0.1445[/C][C]0.1405[/C][C]0.0946[/C][/ROW]
[ROW][C]p-value[/C][C](0.3868)[/C][C](0.4001)[/C][C](0.4396)[/C][/ROW]
[ROW][C]GT;SEI[/C][C]0.5751[/C][C]0.5858[/C][C]0.4748[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]GT;ODI[/C][C]0.3466[/C][C]0.3345[/C][C]0.2494[/C][/ROW]
[ROW][C]p-value[/C][C](0.033)[/C][C](0.0401)[/C][C](0.0424)[/C][/ROW]
[ROW][C]PI;SEI[/C][C]0.6798[/C][C]0.627[/C][C]0.529[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]PI;ODI[/C][C]0.93[/C][C]0.9319[/C][C]0.8739[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SEI;ODI[/C][C]0.8191[/C][C]0.7624[/C][C]0.6673[/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=111877&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111877&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
pair	Pearson r	Spearman rho	Kendall tau
SWS;PS	0.5224	0.5772	0.4041
p-value	(8e-04)	(1e-04)	(4e-04)
SWS;LifeSpan	-0.4026	-0.4493	-0.3147
p-value	(0.0122)	(0.0047)	(0.0058)
SWS;BodyW	-0.4037	-0.6854	-0.5047
p-value	(0.012)	(0)	(0)
SWS;BrainW	-0.3976	-0.6658	-0.4943
p-value	(0.0134)	(0)	(0)
SWS;GT	-0.6156	-0.6441	-0.4724
p-value	(0)	(0)	(0)
SWS;PI	-0.3867	-0.3289	-0.2533
p-value	(0.0165)	(0.0438)	(0.0393)
SWS;SEI	-0.5901	-0.5498	-0.4316
p-value	(1e-04)	(3e-04)	(6e-04)
SWS;ODI	-0.5579	-0.5044	-0.4001
p-value	(3e-04)	(0.0012)	(0.0012)
PS;LifeSpan	-0.2568	-0.4051	-0.2455
p-value	(0.1196)	(0.0116)	(0.0323)
PS;BodyW	-0.0941	-0.4622	-0.2868
p-value	(0.5743)	(0.0035)	(0.0122)
PS;BrainW	-0.0955	-0.527	-0.3226
p-value	(0.5686)	(7e-04)	(0.0048)
PS;GT	-0.4607	-0.6552	-0.4661
p-value	(0.0036)	(0)	(0)
PS;PI	-0.4527	-0.5484	-0.4009
p-value	(0.0043)	(4e-04)	(0.0012)
PS;SEI	-0.543	-0.6169	-0.4706
p-value	(4e-04)	(0)	(2e-04)
PS;ODI	-0.6203	-0.6921	-0.5352
p-value	(0)	(0)	(0)
LifeSpan;BodyW	0.491	0.7148	0.5347
p-value	(0.0017)	(0)	(0)
LifeSpan;BrainW	0.6586	0.8089	0.6557
p-value	(0)	(0)	(0)
LifeSpan;GT	0.7107	0.7402	0.5612
p-value	(0)	(0)	(0)
LifeSpan;PI	-0.1224	0.0044	-0.0095
p-value	(0.4643)	(0.9793)	(0.9384)
LifeSpan;SEI	0.3168	0.526	0.4087
p-value	(0.0527)	(7e-04)	(0.0011)
LifeSpan;ODI	0.053	0.2044	0.159
p-value	(0.7518)	(0.2184)	(0.196)
BodyW;BrainW	0.9556	0.9391	0.8097
p-value	(0)	(0)	(0)
BodyW;GT	0.7289	0.746	0.55
p-value	(0)	(0)	(0)
BodyW;PI	0.1064	0.2113	0.1575
p-value	(0.5247)	(0.203)	(0.1978)
BodyW;SEI	0.4013	0.6074	0.4924
p-value	(0.0125)	(1e-04)	(1e-04)
BodyW;ODI	0.2662	0.3669	0.2792
p-value	(0.1063)	(0.0235)	(0.0229)
BrainW;GT	0.7476	0.8123	0.6081
p-value	(0)	(0)	(0)
BrainW;PI	-0.0084	0.1749	0.1322
p-value	(0.9602)	(0.2935)	(0.2794)
BrainW;SEI	0.3161	0.5962	0.4871
p-value	(0.0532)	(1e-04)	(1e-04)
BrainW;ODI	0.1564	0.3486	0.2758
p-value	(0.3485)	(0.032)	(0.0245)
GT;PI	0.1445	0.1405	0.0946
p-value	(0.3868)	(0.4001)	(0.4396)
GT;SEI	0.5751	0.5858	0.4748
p-value	(2e-04)	(1e-04)	(1e-04)
GT;ODI	0.3466	0.3345	0.2494
p-value	(0.033)	(0.0401)	(0.0424)
PI;SEI	0.6798	0.627	0.529
p-value	(0)	(0)	(1e-04)
PI;ODI	0.93	0.9319	0.8739
p-value	(0)	(0)	(0)
SEI;ODI	0.8191	0.7624	0.6673
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code