Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 21 Dec 2010 00:25:48 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/21/t1292891026xfayn02i0n26k7b.htm/, Retrieved Sun, 19 May 2024 20:25:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113180, Retrieved Sun, 19 May 2024 20:25:05 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

139

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [] [2010-12-21 00:25:48] [4c854bb223ec27caaa7bcfc5e77b0dbd] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

6654	5712	NA	NA	38,6	645	3	5	3
1	6,6	6,3	2	4,5	42	3	1	3
3,385	44,5	NA	NA	14	60	1	1	1
0,92	5,7	NA	NA	NA	25	5	2	3
2547	4603	2,1	1,8	69	624	3	5	4
10,55	179,5	9,1	0,7	27	180	4	4	4
0,023	0,3	15,8	3,9	19	35	1	1	1
160	169	5,2	1	30,4	392	4	5	4
3,3	25,6	10,9	3,6	28	63	1	2	1
52,16	440	8,3	1,4	50	230	1	1	1
0,425	6,4	11	1,5	7	112	5	4	4
465	423	3,2	0,7	30	281	5	5	5
0,55	2,4	7,6	2,7	NA	NA	2	1	2
187,1	419	NA	NA	40	365	5	5	5
0,075	1,2	6,3	2,1	3,5	42	1	1	1
3	25	8,6	0	50	28	2	2	2
0,785	3,5	6,6	4,1	6	42	2	2	2
0,2	5	9,5	1,2	10,4	120	2	2	2
1,41	17,5	4,8	1,3	34	NA	1	2	1
60	81	12	6,1	7	NA	1	1	1
529	680	NA	0,3	28	400	5	5	5
27,66	115	3,3	0,5	20	148	5	5	5
0,12	1	11	3,4	3,9	16	3	1	2
207	406	NA	NA	39,3	252	1	4	1
85	325	4,7	1,5	41	310	1	3	1
36,33	119,5	NA	NA	16,2	63	1	1	1
0,101	4	10,4	3,4	9	28	5	1	3
1,04	5,5	7,4	0,8	7,6	68	5	3	4
521	655	2,1	0,8	46	336	5	5	5
100	157	NA	NA	22,4	100	1	1	1
35	56	NA	NA	16,3	33	3	5	4
0,005	0,14	7,7	1,4	2,6	21,5	5	2	4
0,01	0,25	17,9	2	24	50	1	1	1
62	1320	6,1	1,9	100	267	1	1	1
0,122	3	8,2	2,4	NA	30	2	1	1
1,35	8,1	8,4	2,8	NA	45	3	1	3
0,023	0,4	11,9	1,3	3,2	19	4	1	3
0,048	0,33	10,8	2	2	30	4	1	3
1,7	6,3	13,8	5,6	5	12	2	1	1
3,5	10,8	14,3	3,1	6,5	120	2	1	1
250	490	NA	1	23,6	440	5	5	5
0,48	15,5	15,2	1,8	12	140	2	2	2
10	115	10	0,9	20,2	170	4	4	4
1,62	11,4	11,9	1,8	13	17	2	1	2
192	180	6,5	1,9	27	115	4	4	4
2,5	12,1	7,5	0,9	18	31	5	5	5
4,288	39,2	NA	NA	13,7	63	2	2	2
0,28	1,9	10,6	2,6	4,7	21	3	1	3
4,235	50,4	7,4	2,4	9,8	52	1	1	1
6,8	179	8,4	1,2	29	164	2	3	2
0,75	12,3	5,7	0,9	7	225	2	2	2
3,6	21	4,9	0,5	6	225	3	2	3
14,83	98,2	NA	NA	17	150	5	5	5
55,5	175	3,2	0,6	20	151	5	5	5
1,4	12,5	NA	NA	12,7	90	2	2	2
0,06	1	8,1	2,2	3,5	NA	3	1	2
0,9	2,6	11	2,3	4,5	60	2	1	2
2	12,3	4,9	0,5	7,5	200	3	1	3
0,104	2,5	13,2	2,6	2,3	46	3	2	2
4,19	58	9,7	0,6	24	210	4	3	4
3,5	3,9	12,8	6,6	3	14	2	1	1
4,05	17	NA	NA	13	38	3	1	1

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	'RServer@AstonUniversity' @ vre.aston.ac.uk
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113180&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113180&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113180&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	'RServer@AstonUniversity' @ vre.aston.ac.uk
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Correlations for all pairs of data series (method=pearson)
	Body	Brain	SWS	PS	L	G	P	S	D
Body	1	0.934	-0.376	-0.109	0.302	0.651	0.059	0.338	0.134
Brain	0.934	1	-0.369	-0.105	0.509	0.747	0.034	0.368	0.146
SWS	-0.376	-0.369	1	0.514	-0.384	-0.595	-0.318	-0.544	-0.484
PS	-0.109	-0.105	0.514	1	-0.296	-0.451	-0.447	-0.537	-0.579
L	0.302	0.509	-0.384	-0.296	1	0.615	-0.103	0.36	0.062
G	0.651	0.747	-0.595	-0.451	0.615	1	0.201	0.638	0.379
P	0.059	0.034	-0.318	-0.447	-0.103	0.201	1	0.618	0.916
S	0.338	0.368	-0.544	-0.537	0.36	0.638	0.618	1	0.787
D	0.134	0.146	-0.484	-0.579	0.062	0.379	0.916	0.787	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Body & Brain & SWS & PS & L & G & P & S & D
 \tabularnewline
Body & 1 & 0.934 & -0.376 & -0.109 & 0.302 & 0.651 & 0.059 & 0.338 & 0.134 \tabularnewline
Brain & 0.934 & 1 & -0.369 & -0.105 & 0.509 & 0.747 & 0.034 & 0.368 & 0.146 \tabularnewline
SWS & -0.376 & -0.369 & 1 & 0.514 & -0.384 & -0.595 & -0.318 & -0.544 & -0.484 \tabularnewline
PS & -0.109 & -0.105 & 0.514 & 1 & -0.296 & -0.451 & -0.447 & -0.537 & -0.579 \tabularnewline
L & 0.302 & 0.509 & -0.384 & -0.296 & 1 & 0.615 & -0.103 & 0.36 & 0.062 \tabularnewline
G & 0.651 & 0.747 & -0.595 & -0.451 & 0.615 & 1 & 0.201 & 0.638 & 0.379 \tabularnewline
P & 0.059 & 0.034 & -0.318 & -0.447 & -0.103 & 0.201 & 1 & 0.618 & 0.916 \tabularnewline
S & 0.338 & 0.368 & -0.544 & -0.537 & 0.36 & 0.638 & 0.618 & 1 & 0.787 \tabularnewline
D
 & 0.134 & 0.146 & -0.484 & -0.579 & 0.062 & 0.379 & 0.916 & 0.787 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113180&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Body[/C][C]Brain[/C][C]SWS[/C][C]PS[/C][C]L[/C][C]G[/C][C]P[/C][C]S[/C][C]D
[/C][/ROW]
[ROW][C]Body[/C][C]1[/C][C]0.934[/C][C]-0.376[/C][C]-0.109[/C][C]0.302[/C][C]0.651[/C][C]0.059[/C][C]0.338[/C][C]0.134[/C][/ROW]
[ROW][C]Brain[/C][C]0.934[/C][C]1[/C][C]-0.369[/C][C]-0.105[/C][C]0.509[/C][C]0.747[/C][C]0.034[/C][C]0.368[/C][C]0.146[/C][/ROW]
[ROW][C]SWS[/C][C]-0.376[/C][C]-0.369[/C][C]1[/C][C]0.514[/C][C]-0.384[/C][C]-0.595[/C][C]-0.318[/C][C]-0.544[/C][C]-0.484[/C][/ROW]
[ROW][C]PS[/C][C]-0.109[/C][C]-0.105[/C][C]0.514[/C][C]1[/C][C]-0.296[/C][C]-0.451[/C][C]-0.447[/C][C]-0.537[/C][C]-0.579[/C][/ROW]
[ROW][C]L[/C][C]0.302[/C][C]0.509[/C][C]-0.384[/C][C]-0.296[/C][C]1[/C][C]0.615[/C][C]-0.103[/C][C]0.36[/C][C]0.062[/C][/ROW]
[ROW][C]G[/C][C]0.651[/C][C]0.747[/C][C]-0.595[/C][C]-0.451[/C][C]0.615[/C][C]1[/C][C]0.201[/C][C]0.638[/C][C]0.379[/C][/ROW]
[ROW][C]P[/C][C]0.059[/C][C]0.034[/C][C]-0.318[/C][C]-0.447[/C][C]-0.103[/C][C]0.201[/C][C]1[/C][C]0.618[/C][C]0.916[/C][/ROW]
[ROW][C]S[/C][C]0.338[/C][C]0.368[/C][C]-0.544[/C][C]-0.537[/C][C]0.36[/C][C]0.638[/C][C]0.618[/C][C]1[/C][C]0.787[/C][/ROW]
[ROW][C]D
[/C][C]0.134[/C][C]0.146[/C][C]-0.484[/C][C]-0.579[/C][C]0.062[/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=113180&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113180&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)
	Body	Brain	SWS	PS	L	G	P	S	D
Body	1	0.934	-0.376	-0.109	0.302	0.651	0.059	0.338	0.134
Brain	0.934	1	-0.369	-0.105	0.509	0.747	0.034	0.368	0.146
SWS	-0.376	-0.369	1	0.514	-0.384	-0.595	-0.318	-0.544	-0.484
PS	-0.109	-0.105	0.514	1	-0.296	-0.451	-0.447	-0.537	-0.579
L	0.302	0.509	-0.384	-0.296	1	0.615	-0.103	0.36	0.062
G	0.651	0.747	-0.595	-0.451	0.615	1	0.201	0.638	0.379
P	0.059	0.034	-0.318	-0.447	-0.103	0.201	1	0.618	0.916
S	0.338	0.368	-0.544	-0.537	0.36	0.638	0.618	1	0.787
D	0.134	0.146	-0.484	-0.579	0.062	0.379	0.916	0.787	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Body;Brain	0.9342	0.9535	0.8335
p-value	(0)	(0)	(0)
Body;SWS	-0.3759	-0.5051	-0.3619
p-value	(0.0085)	(3e-04)	(3e-04)
Body;PS	-0.1094	-0.4079	-0.2533
p-value	(0.4495)	(0.0033)	(0.0102)
Body;L	0.3025	0.7241	0.5498
p-value	(0.021)	(0)	(0)
Body;G	0.6511	0.7283	0.5442
p-value	(0)	(0)	(0)
Body;P	0.0595	0.0938	0.0591
p-value	(0.646)	(0.4684)	(0.5333)
Body;S	0.3383	0.5711	0.4554
p-value	(0.0072)	(0)	(0)
Body;D	0.1336	0.251	0.1721
p-value	(0.3006)	(0.0491)	(0.07)
Brain;SWS	-0.3692	-0.5306	-0.3861
p-value	(0.0098)	(1e-04)	(1e-04)
Brain;PS	-0.1051	-0.5057	-0.3087
p-value	(0.4674)	(2e-04)	(0.0017)
Brain;L	0.5093	0.8157	0.6636
p-value	(0)	(0)	(0)
Brain;G	0.7472	0.8053	0.6074
p-value	(0)	(0)	(0)
Brain;P	0.0339	0.0734	0.0396
p-value	(0.7939)	(0.5708)	(0.6764)
Brain;S	0.3678	0.6003	0.4841
p-value	(0.0033)	(0)	(0)
Brain;D	0.1459	0.254	0.1763
p-value	(0.2579)	(0.0464)	(0.0635)
SWS;PS	0.5143	0.5412	0.3833
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;G	-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;G	-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;G	0.6148	0.6728	0.4866
p-value	(0)	(0)	(0)
L;P	-0.1025	-0.0553	-0.0555
p-value	(0.4437)	(0.68)	(0.5727)
L;S	0.3604	0.5346	0.3998
p-value	(0.0055)	(0)	(1e-04)
L;D	0.0618	0.126	0.0852
p-value	(0.645)	(0.3459)	(0.388)
G;P	0.2005	0.1231	0.0758
p-value	(0.1313)	(0.3574)	(0.4409)
G;S	0.6383	0.6114	0.4945
p-value	(0)	(0)	(0)
G;D	0.3786	0.3225	0.2285
p-value	(0.0034)	(0.0136)	(0.0203)
P;S	0.6182	0.5669	0.4693
p-value	(0)	(0)	(0)
P;D	0.916	0.918	0.8563
p-value	(0)	(0)	(0)
S;D	0.7872	0.7181	0.6277
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
Body;Brain & 0.9342 & 0.9535 & 0.8335 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Body;SWS & -0.3759 & -0.5051 & -0.3619 \tabularnewline
p-value & (0.0085) & (3e-04) & (3e-04) \tabularnewline
Body;PS & -0.1094 & -0.4079 & -0.2533 \tabularnewline
p-value & (0.4495) & (0.0033) & (0.0102) \tabularnewline
Body;L & 0.3025 & 0.7241 & 0.5498 \tabularnewline
p-value & (0.021) & (0) & (0) \tabularnewline
Body;G & 0.6511 & 0.7283 & 0.5442 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Body;P & 0.0595 & 0.0938 & 0.0591 \tabularnewline
p-value & (0.646) & (0.4684) & (0.5333) \tabularnewline
Body;S & 0.3383 & 0.5711 & 0.4554 \tabularnewline
p-value & (0.0072) & (0) & (0) \tabularnewline
Body;D
 & 0.1336 & 0.251 & 0.1721 \tabularnewline
p-value & (0.3006) & (0.0491) & (0.07) \tabularnewline
Brain;SWS & -0.3692 & -0.5306 & -0.3861 \tabularnewline
p-value & (0.0098) & (1e-04) & (1e-04) \tabularnewline
Brain;PS & -0.1051 & -0.5057 & -0.3087 \tabularnewline
p-value & (0.4674) & (2e-04) & (0.0017) \tabularnewline
Brain;L & 0.5093 & 0.8157 & 0.6636 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Brain;G & 0.7472 & 0.8053 & 0.6074 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Brain;P & 0.0339 & 0.0734 & 0.0396 \tabularnewline
p-value & (0.7939) & (0.5708) & (0.6764) \tabularnewline
Brain;S & 0.3678 & 0.6003 & 0.4841 \tabularnewline
p-value & (0.0033) & (0) & (0) \tabularnewline
Brain;D
 & 0.1459 & 0.254 & 0.1763 \tabularnewline
p-value & (0.2579) & (0.0464) & (0.0635) \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;G & -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;G & -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;G & 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
G;P & 0.2005 & 0.1231 & 0.0758 \tabularnewline
p-value & (0.1313) & (0.3574) & (0.4409) \tabularnewline
G;S & 0.6383 & 0.6114 & 0.4945 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
G;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=113180&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]Body;Brain[/C][C]0.9342[/C][C]0.9535[/C][C]0.8335[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Body;SWS[/C][C]-0.3759[/C][C]-0.5051[/C][C]-0.3619[/C][/ROW]
[ROW][C]p-value[/C][C](0.0085)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]Body;PS[/C][C]-0.1094[/C][C]-0.4079[/C][C]-0.2533[/C][/ROW]
[ROW][C]p-value[/C][C](0.4495)[/C][C](0.0033)[/C][C](0.0102)[/C][/ROW]
[ROW][C]Body;L[/C][C]0.3025[/C][C]0.7241[/C][C]0.5498[/C][/ROW]
[ROW][C]p-value[/C][C](0.021)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Body;G[/C][C]0.6511[/C][C]0.7283[/C][C]0.5442[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Body;P[/C][C]0.0595[/C][C]0.0938[/C][C]0.0591[/C][/ROW]
[ROW][C]p-value[/C][C](0.646)[/C][C](0.4684)[/C][C](0.5333)[/C][/ROW]
[ROW][C]Body;S[/C][C]0.3383[/C][C]0.5711[/C][C]0.4554[/C][/ROW]
[ROW][C]p-value[/C][C](0.0072)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Body;D
[/C][C]0.1336[/C][C]0.251[/C][C]0.1721[/C][/ROW]
[ROW][C]p-value[/C][C](0.3006)[/C][C](0.0491)[/C][C](0.07)[/C][/ROW]
[ROW][C]Brain;SWS[/C][C]-0.3692[/C][C]-0.5306[/C][C]-0.3861[/C][/ROW]
[ROW][C]p-value[/C][C](0.0098)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Brain;PS[/C][C]-0.1051[/C][C]-0.5057[/C][C]-0.3087[/C][/ROW]
[ROW][C]p-value[/C][C](0.4674)[/C][C](2e-04)[/C][C](0.0017)[/C][/ROW]
[ROW][C]Brain;L[/C][C]0.5093[/C][C]0.8157[/C][C]0.6636[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Brain;G[/C][C]0.7472[/C][C]0.8053[/C][C]0.6074[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Brain;P[/C][C]0.0339[/C][C]0.0734[/C][C]0.0396[/C][/ROW]
[ROW][C]p-value[/C][C](0.7939)[/C][C](0.5708)[/C][C](0.6764)[/C][/ROW]
[ROW][C]Brain;S[/C][C]0.3678[/C][C]0.6003[/C][C]0.4841[/C][/ROW]
[ROW][C]p-value[/C][C](0.0033)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Brain;D
[/C][C]0.1459[/C][C]0.254[/C][C]0.1763[/C][/ROW]
[ROW][C]p-value[/C][C](0.2579)[/C][C](0.0464)[/C][C](0.0635)[/C][/ROW]
[ROW][C]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;G[/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;G[/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;G[/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]G;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]G;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]G;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=113180&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113180&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
Body;Brain	0.9342	0.9535	0.8335
p-value	(0)	(0)	(0)
Body;SWS	-0.3759	-0.5051	-0.3619
p-value	(0.0085)	(3e-04)	(3e-04)
Body;PS	-0.1094	-0.4079	-0.2533
p-value	(0.4495)	(0.0033)	(0.0102)
Body;L	0.3025	0.7241	0.5498
p-value	(0.021)	(0)	(0)
Body;G	0.6511	0.7283	0.5442
p-value	(0)	(0)	(0)
Body;P	0.0595	0.0938	0.0591
p-value	(0.646)	(0.4684)	(0.5333)
Body;S	0.3383	0.5711	0.4554
p-value	(0.0072)	(0)	(0)
Body;D	0.1336	0.251	0.1721
p-value	(0.3006)	(0.0491)	(0.07)
Brain;SWS	-0.3692	-0.5306	-0.3861
p-value	(0.0098)	(1e-04)	(1e-04)
Brain;PS	-0.1051	-0.5057	-0.3087
p-value	(0.4674)	(2e-04)	(0.0017)
Brain;L	0.5093	0.8157	0.6636
p-value	(0)	(0)	(0)
Brain;G	0.7472	0.8053	0.6074
p-value	(0)	(0)	(0)
Brain;P	0.0339	0.0734	0.0396
p-value	(0.7939)	(0.5708)	(0.6764)
Brain;S	0.3678	0.6003	0.4841
p-value	(0.0033)	(0)	(0)
Brain;D	0.1459	0.254	0.1763
p-value	(0.2579)	(0.0464)	(0.0635)
SWS;PS	0.5143	0.5412	0.3833
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;G	-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;G	-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;G	0.6148	0.6728	0.4866
p-value	(0)	(0)	(0)
L;P	-0.1025	-0.0553	-0.0555
p-value	(0.4437)	(0.68)	(0.5727)
L;S	0.3604	0.5346	0.3998
p-value	(0.0055)	(0)	(1e-04)
L;D	0.0618	0.126	0.0852
p-value	(0.645)	(0.3459)	(0.388)
G;P	0.2005	0.1231	0.0758
p-value	(0.1313)	(0.3574)	(0.4409)
G;S	0.6383	0.6114	0.4945
p-value	(0)	(0)	(0)
G;D	0.3786	0.3225	0.2285
p-value	(0.0034)	(0.0136)	(0.0203)
P;S	0.6182	0.5669	0.4693
p-value	(0)	(0)	(0)
P;D	0.916	0.918	0.8563
p-value	(0)	(0)	(0)
S;D	0.7872	0.7181	0.6277
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

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