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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Mon, 20 Dec 2010 17:29:06 +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/20/t1292866150rlgk42plbuca1jf.htm/, Retrieved Fri, 03 May 2024 22:56:39 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113026, Retrieved Fri, 03 May 2024 22:56:39 +0000

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-       [Kendall tau Correlation Matrix] [] [2010-12-20 17:29:06] [2c6df1abfd605553105e921b7f32396e] [Current]

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6.654	5.712	-999	-999	3,3	38,6	645	3	5	3
1	        6,6	         6,3	 2	8,3	4,5	42	3	1	3
3,385	44,5	        -999	-999	12,5	14	60	1	1	1
0,92	        5,7	        -999	-999	16,5	-999	25	5	2	3
2547	        4603	         2,1	1,8	3,9	69	624	3	5	4
10,55	0,5	         0,1	0,7	9,8	27	180	4	4	4
0,023	0,3	        15,8	3,9	19,7	19	35	1	1	1
160	        169	         5,2	1	6,2	30,4	392	4	5	4
3,3	        25,6	        10,9	3,6	14,5	28	63	1	2	1
52,16	440	        8,3	1,4	9,7	50	230	1	1	1
0,425	6,4	        11	1,5	12,5	7	112	5	4	4
465	        423	        3,2	0,7	3,9	30	281	5	5	5
0,55	        2,4	        7,6	2,7	10,3	-999	-999	2	1	2
187,1	419	       -999	-999	3,1	40	365	5	5	5
0,075	1,2	        6,3	2,1	8,4	3,5	42	1	1	1
3	        25	8,6	 0	8,6	50	28	2	2	2
0,785	3,5	6,6	4,1	10,7	6	42	2	2	2
0,2	        5	9,5	1,2	10,7	10,4	120	2	2	2
1,41	        17,5	4,8	1,3	6,1	34	-999	1	2	1
60	        81	12	6,1	18,1	7	-999	1	1	1
529	        680	-999	0,3	-999	28	400	5	5	5
27,66	115	3,3	0,5	3,8	20	148	5	5	5
0,12	        1	11	3,4	14,4	3,9	16	3	1	2
207	        406	-999	-999	12	39,3	252	1	4	1
85	        325	4,7	1,5	6,2	41	310	1	3	1
36,33	119,5-999	-999	13	16,2	63	1	1	1
0,101	4	10,4	3,4	13,8	9	28	5	1	3
1,04	        5,5	7,4	0,8	8,2	7,6	68	5	3	4
521	        655	2,1	0,8	2,9	46	336	5	5	5
100	        157	2,1	-999	10,8	22,4	100	1	1	1
35	        56	-999	-999	-999	16,3	33	3	5	4
0,005	0,14	7,7	1,4	9,1	2,6	21,5	5	2	4
0,01	        0,25	17,9	2	19,9	24	50	1	1	1
62	        1320	6,1	1,9	8	100	267	1	1	1
0,122	3	8,2	2,4	10,6	-999	30	2	1	1
1,35	        8,1	8,4	2,8	11,2	-999	45	3	1	3
0,23	        0,4	11,9	1,3	13,2	3,2	19	4	1	3
0,048	0,33	10,8	2	12,8	2	30	4	1	3
1,7	        6,3	13,8	5,6	19,4	5	12	2	1	1
3,5	        10,8	14,3	3,1	17,4	6,5	120	2	1	1
250	        490	-999	1	-999	23,6	440	5	5	5
0,48	        15,5	15,2	1,8	17	12	140	2	2	2
10	        115	10	0,9	10,9	20,2	170	4	4	4
1,62	        11,4	11,9	1,8	13,7	13	17	2	1	2
192	        180	6,5	1,9	8,4	27	115	4	4	4
2,5	        12,1	7,5	0,9	8,4	18	31	5	5	5
4,288	39,2	-999	-999	12,5	13,7	63	2	2	2
0,28  	1,9	10,6	2,6	13,2	4,7	21	3	1	3
4,235	50,4	7,4	2,4	9,8	9,8	52	1	1	1
6,8    	179	8,4	1,2	9,6	29	164	2	3	2
0,75	        12,3	5,7	0,9	6,6	7	225	2	2	2
3,6	        21	4,9	0,5	5,4	6	150	3	2	3
14,83	98,2	-999	-999	2,6	17	151	5	5	5
55,5	        175	3,2	0,6	3,8	20	150	5	5	5
1,4	        12,5	-999	-999	11	12,7	90	2	2	2
0,06	        1	8,1	2,2	10,3	3,5	-999	3	1	2
0,9	        2,6	11	2,3	13,3	4,5	60	2	1	2
2	        12,3	4,9	0,5	5,4	7,5	200	3	1	3
0,104	2,5	13,2	2,6	15,8	2,3	46	3	2	2
4,19	        58	9,7	0,6	10,3	24	210	4	3	4
3,5	        3,9	12,8	6,6	19,4	3	14	1	1	2
4,05	        17	-999	-999	-999	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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113026&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113026&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113026&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	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Correlations for all pairs of data series (method=pearson)
	bodyw	brainw	SWS	PS	totsleep	lifespan	gesttime	predation	sleepex	danger
bodyw	1	0.734	0.036	0.007	-0.006	0.177	0.304	0.187	0.287	-0.042
brainw	0.734	1	0.263	0.156	-0.078	-0.044	0.316	0.014	0.205	-0.015
SWS	0.036	0.263	1	0.629	0.069	0.094	-0.212	-0.158	-0.072	0.087
PS	0.007	0.156	0.629	1	-0.085	0.105	-0.206	-0.224	-0.173	0.1
totsleep	-0.006	-0.078	0.069	-0.085	1	0.003	-0.097	0.011	-0.047	0.058
lifespan	0.177	-0.044	0.094	0.105	0.003	1	0.259	0.048	0.23	0.078
gesttime	0.304	0.316	-0.212	-0.206	-0.097	0.259	1	0.265	0.422	-0.014
predation	0.187	0.014	-0.158	-0.224	0.011	0.048	0.265	1	0.749	0.006
sleepex	0.287	0.205	-0.072	-0.173	-0.047	0.23	0.422	0.749	1	0.045
danger	-0.042	-0.015	0.087	0.1	0.058	0.078	-0.014	0.006	0.045	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & bodyw & brainw & SWS & PS & totsleep & lifespan & gesttime & predation & sleepex & danger \tabularnewline
bodyw & 1 & 0.734 & 0.036 & 0.007 & -0.006 & 0.177 & 0.304 & 0.187 & 0.287 & -0.042 \tabularnewline
brainw & 0.734 & 1 & 0.263 & 0.156 & -0.078 & -0.044 & 0.316 & 0.014 & 0.205 & -0.015 \tabularnewline
SWS & 0.036 & 0.263 & 1 & 0.629 & 0.069 & 0.094 & -0.212 & -0.158 & -0.072 & 0.087 \tabularnewline
PS & 0.007 & 0.156 & 0.629 & 1 & -0.085 & 0.105 & -0.206 & -0.224 & -0.173 & 0.1 \tabularnewline
totsleep & -0.006 & -0.078 & 0.069 & -0.085 & 1 & 0.003 & -0.097 & 0.011 & -0.047 & 0.058 \tabularnewline
lifespan & 0.177 & -0.044 & 0.094 & 0.105 & 0.003 & 1 & 0.259 & 0.048 & 0.23 & 0.078 \tabularnewline
gesttime & 0.304 & 0.316 & -0.212 & -0.206 & -0.097 & 0.259 & 1 & 0.265 & 0.422 & -0.014 \tabularnewline
predation & 0.187 & 0.014 & -0.158 & -0.224 & 0.011 & 0.048 & 0.265 & 1 & 0.749 & 0.006 \tabularnewline
sleepex & 0.287 & 0.205 & -0.072 & -0.173 & -0.047 & 0.23 & 0.422 & 0.749 & 1 & 0.045 \tabularnewline
danger & -0.042 & -0.015 & 0.087 & 0.1 & 0.058 & 0.078 & -0.014 & 0.006 & 0.045 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113026&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]bodyw[/C][C]brainw[/C][C]SWS[/C][C]PS[/C][C]totsleep[/C][C]lifespan[/C][C]gesttime[/C][C]predation[/C][C]sleepex[/C][C]danger[/C][/ROW]
[ROW][C]bodyw[/C][C]1[/C][C]0.734[/C][C]0.036[/C][C]0.007[/C][C]-0.006[/C][C]0.177[/C][C]0.304[/C][C]0.187[/C][C]0.287[/C][C]-0.042[/C][/ROW]
[ROW][C]brainw[/C][C]0.734[/C][C]1[/C][C]0.263[/C][C]0.156[/C][C]-0.078[/C][C]-0.044[/C][C]0.316[/C][C]0.014[/C][C]0.205[/C][C]-0.015[/C][/ROW]
[ROW][C]SWS[/C][C]0.036[/C][C]0.263[/C][C]1[/C][C]0.629[/C][C]0.069[/C][C]0.094[/C][C]-0.212[/C][C]-0.158[/C][C]-0.072[/C][C]0.087[/C][/ROW]
[ROW][C]PS[/C][C]0.007[/C][C]0.156[/C][C]0.629[/C][C]1[/C][C]-0.085[/C][C]0.105[/C][C]-0.206[/C][C]-0.224[/C][C]-0.173[/C][C]0.1[/C][/ROW]
[ROW][C]totsleep[/C][C]-0.006[/C][C]-0.078[/C][C]0.069[/C][C]-0.085[/C][C]1[/C][C]0.003[/C][C]-0.097[/C][C]0.011[/C][C]-0.047[/C][C]0.058[/C][/ROW]
[ROW][C]lifespan[/C][C]0.177[/C][C]-0.044[/C][C]0.094[/C][C]0.105[/C][C]0.003[/C][C]1[/C][C]0.259[/C][C]0.048[/C][C]0.23[/C][C]0.078[/C][/ROW]
[ROW][C]gesttime[/C][C]0.304[/C][C]0.316[/C][C]-0.212[/C][C]-0.206[/C][C]-0.097[/C][C]0.259[/C][C]1[/C][C]0.265[/C][C]0.422[/C][C]-0.014[/C][/ROW]
[ROW][C]predation[/C][C]0.187[/C][C]0.014[/C][C]-0.158[/C][C]-0.224[/C][C]0.011[/C][C]0.048[/C][C]0.265[/C][C]1[/C][C]0.749[/C][C]0.006[/C][/ROW]
[ROW][C]sleepex[/C][C]0.287[/C][C]0.205[/C][C]-0.072[/C][C]-0.173[/C][C]-0.047[/C][C]0.23[/C][C]0.422[/C][C]0.749[/C][C]1[/C][C]0.045[/C][/ROW]
[ROW][C]danger[/C][C]-0.042[/C][C]-0.015[/C][C]0.087[/C][C]0.1[/C][C]0.058[/C][C]0.078[/C][C]-0.014[/C][C]0.006[/C][C]0.045[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113026&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113026&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)
	bodyw	brainw	SWS	PS	totsleep	lifespan	gesttime	predation	sleepex	danger
bodyw	1	0.734	0.036	0.007	-0.006	0.177	0.304	0.187	0.287	-0.042
brainw	0.734	1	0.263	0.156	-0.078	-0.044	0.316	0.014	0.205	-0.015
SWS	0.036	0.263	1	0.629	0.069	0.094	-0.212	-0.158	-0.072	0.087
PS	0.007	0.156	0.629	1	-0.085	0.105	-0.206	-0.224	-0.173	0.1
totsleep	-0.006	-0.078	0.069	-0.085	1	0.003	-0.097	0.011	-0.047	0.058
lifespan	0.177	-0.044	0.094	0.105	0.003	1	0.259	0.048	0.23	0.078
gesttime	0.304	0.316	-0.212	-0.206	-0.097	0.259	1	0.265	0.422	-0.014
predation	0.187	0.014	-0.158	-0.224	0.011	0.048	0.265	1	0.749	0.006
sleepex	0.287	0.205	-0.072	-0.173	-0.047	0.23	0.422	0.749	1	0.045
danger	-0.042	-0.015	0.087	0.1	0.058	0.078	-0.014	0.006	0.045	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
bodyw;brainw	0.7337	0.1356	0.1123
p-value	(0)	(0.2933)	(0.1997)
bodyw;SWS	0.0362	-0.4476	-0.3082
p-value	(0.7798)	(3e-04)	(5e-04)
bodyw;PS	0.007	-0.2186	-0.1555
p-value	(0.9568)	(0.0879)	(0.0767)
bodyw;totsleep	-0.0062	0.2743	0.2128
p-value	(0.9618)	(0.031)	(0.0148)
bodyw;lifespan	0.1771	0.6413	0.4439
p-value	(0.1685)	(0)	(0)
bodyw;gesttime	0.3042	0.0802	0.0516
p-value	(0.0162)	(0.5355)	(0.5658)
bodyw;predation	0.1874	0.3441	0.2591
p-value	(0.1447)	(0.0062)	(0.0074)
bodyw;sleepex	0.2873	0.4289	0.3275
p-value	(0.0236)	(5e-04)	(6e-04)
bodyw;danger	-0.042	0.1238	0.0932
p-value	(0.7458)	(0.3379)	(0.292)
brainw;SWS	0.2631	0.2923	0.2426
p-value	(0.0388)	(0.0211)	(0.0066)
brainw;PS	0.1557	0.0257	0.1154
p-value	(0.2268)	(0.8426)	(0.1907)
brainw;totsleep	-0.078	-0.4357	-0.2907
p-value	(0.5467)	(4e-04)	(9e-04)
brainw;lifespan	-0.0443	-0.12	-0.0807
p-value	(0.7325)	(0.3527)	(0.3586)
brainw;gesttime	0.3159	0.2397	0.1445
p-value	(0.0124)	(0.0606)	(0.1093)
brainw;predation	0.014	-0.1706	-0.1371
p-value	(0.9142)	(0.1849)	(0.1582)
brainw;sleepex	0.2049	0.117	0.0691
p-value	(0.1102)	(0.3651)	(0.4686)
brainw;danger	-0.0151	0.1689	0.1251
p-value	(0.9073)	(0.1895)	(0.1592)
SWS;PS	0.6288	0.1227	0.116
p-value	(0)	(0.342)	(0.1949)
SWS;totsleep	0.069	-0.1721	-0.0587
p-value	(0.594)	(0.1809)	(0.5095)
SWS;lifespan	0.0937	-0.4661	-0.3339
p-value	(0.4688)	(1e-04)	(2e-04)
SWS;gesttime	-0.2116	0.0375	0.0028
p-value	(0.0987)	(0.7722)	(0.9755)
SWS;predation	-0.1585	-0.2672	-0.2106
p-value	(0.2187)	(0.0358)	(0.0327)
SWS;sleepex	-0.0716	-0.3344	-0.265
p-value	(0.5805)	(0.0079)	(0.0062)
SWS;danger	0.0867	-0.0496	-0.0458
p-value	(0.5028)	(0.7018)	(0.6114)
PS;totsleep	-0.085	-0.0562	-0.0262
p-value	(0.5112)	(0.6645)	(0.7656)
PS;lifespan	0.1054	0.1469	0.0702
p-value	(0.415)	(0.2545)	(0.4254)
PS;gesttime	-0.2063	-0.6598	-0.5003
p-value	(0.1077)	(0)	(0)
PS;predation	-0.2238	-0.4622	-0.3688
p-value	(0.0804)	(2e-04)	(2e-04)
PS;sleepex	-0.1734	-0.3211	-0.2459
p-value	(0.1777)	(0.0109)	(0.0102)
PS;danger	0.1005	0.0568	0.0201
p-value	(0.4371)	(0.6612)	(0.8215)
totsleep;lifespan	0.0035	0.3126	0.2136
p-value	(0.9786)	(0.0134)	(0.0148)
totsleep;gesttime	-0.0972	-0.1895	-0.1529
p-value	(0.4522)	(0.1401)	(0.0894)
totsleep;predation	0.0107	0.1817	0.1367
p-value	(0.9339)	(0.1575)	(0.1584)
totsleep;sleepex	-0.047	-0.1375	-0.1082
p-value	(0.7166)	(0.2865)	(0.2557)
totsleep;danger	0.0575	-0.0528	-0.0421
p-value	(0.6571)	(0.6835)	(0.6347)
lifespan;gesttime	0.2589	-0.2177	-0.1212
p-value	(0.0421)	(0.0892)	(0.1788)
lifespan;predation	0.0478	0.1467	0.1157
p-value	(0.712)	(0.2552)	(0.2334)
lifespan;sleepex	0.2298	0.2544	0.1894
p-value	(0.0724)	(0.046)	(0.047)
lifespan;danger	0.0783	0.0813	0.0719
p-value	(0.5452)	(0.5301)	(0.4178)
gesttime;predation	0.265	0.4539	0.3524
p-value	(0.0374)	(2e-04)	(4e-04)
gesttime;sleepex	0.422	0.5353	0.4603
p-value	(6e-04)	(0)	(0)
gesttime;danger	-0.0141	0.0607	0.0463
p-value	(0.9135)	(0.6392)	(0.6112)
predation;sleepex	0.7492	0.687	0.5882
p-value	(0)	(0)	(0)
predation;danger	0.0057	0.265	0.2205
p-value	(0.9647)	(0.0374)	(0.0247)
sleepex;danger	0.0445	0.1529	0.1135
p-value	(0.7311)	(0.2356)	(0.2393)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
bodyw;brainw & 0.7337 & 0.1356 & 0.1123 \tabularnewline
p-value & (0) & (0.2933) & (0.1997) \tabularnewline
bodyw;SWS & 0.0362 & -0.4476 & -0.3082 \tabularnewline
p-value & (0.7798) & (3e-04) & (5e-04) \tabularnewline
bodyw;PS & 0.007 & -0.2186 & -0.1555 \tabularnewline
p-value & (0.9568) & (0.0879) & (0.0767) \tabularnewline
bodyw;totsleep & -0.0062 & 0.2743 & 0.2128 \tabularnewline
p-value & (0.9618) & (0.031) & (0.0148) \tabularnewline
bodyw;lifespan & 0.1771 & 0.6413 & 0.4439 \tabularnewline
p-value & (0.1685) & (0) & (0) \tabularnewline
bodyw;gesttime & 0.3042 & 0.0802 & 0.0516 \tabularnewline
p-value & (0.0162) & (0.5355) & (0.5658) \tabularnewline
bodyw;predation & 0.1874 & 0.3441 & 0.2591 \tabularnewline
p-value & (0.1447) & (0.0062) & (0.0074) \tabularnewline
bodyw;sleepex & 0.2873 & 0.4289 & 0.3275 \tabularnewline
p-value & (0.0236) & (5e-04) & (6e-04) \tabularnewline
bodyw;danger & -0.042 & 0.1238 & 0.0932 \tabularnewline
p-value & (0.7458) & (0.3379) & (0.292) \tabularnewline
brainw;SWS & 0.2631 & 0.2923 & 0.2426 \tabularnewline
p-value & (0.0388) & (0.0211) & (0.0066) \tabularnewline
brainw;PS & 0.1557 & 0.0257 & 0.1154 \tabularnewline
p-value & (0.2268) & (0.8426) & (0.1907) \tabularnewline
brainw;totsleep & -0.078 & -0.4357 & -0.2907 \tabularnewline
p-value & (0.5467) & (4e-04) & (9e-04) \tabularnewline
brainw;lifespan & -0.0443 & -0.12 & -0.0807 \tabularnewline
p-value & (0.7325) & (0.3527) & (0.3586) \tabularnewline
brainw;gesttime & 0.3159 & 0.2397 & 0.1445 \tabularnewline
p-value & (0.0124) & (0.0606) & (0.1093) \tabularnewline
brainw;predation & 0.014 & -0.1706 & -0.1371 \tabularnewline
p-value & (0.9142) & (0.1849) & (0.1582) \tabularnewline
brainw;sleepex & 0.2049 & 0.117 & 0.0691 \tabularnewline
p-value & (0.1102) & (0.3651) & (0.4686) \tabularnewline
brainw;danger & -0.0151 & 0.1689 & 0.1251 \tabularnewline
p-value & (0.9073) & (0.1895) & (0.1592) \tabularnewline
SWS;PS & 0.6288 & 0.1227 & 0.116 \tabularnewline
p-value & (0) & (0.342) & (0.1949) \tabularnewline
SWS;totsleep & 0.069 & -0.1721 & -0.0587 \tabularnewline
p-value & (0.594) & (0.1809) & (0.5095) \tabularnewline
SWS;lifespan & 0.0937 & -0.4661 & -0.3339 \tabularnewline
p-value & (0.4688) & (1e-04) & (2e-04) \tabularnewline
SWS;gesttime & -0.2116 & 0.0375 & 0.0028 \tabularnewline
p-value & (0.0987) & (0.7722) & (0.9755) \tabularnewline
SWS;predation & -0.1585 & -0.2672 & -0.2106 \tabularnewline
p-value & (0.2187) & (0.0358) & (0.0327) \tabularnewline
SWS;sleepex & -0.0716 & -0.3344 & -0.265 \tabularnewline
p-value & (0.5805) & (0.0079) & (0.0062) \tabularnewline
SWS;danger & 0.0867 & -0.0496 & -0.0458 \tabularnewline
p-value & (0.5028) & (0.7018) & (0.6114) \tabularnewline
PS;totsleep & -0.085 & -0.0562 & -0.0262 \tabularnewline
p-value & (0.5112) & (0.6645) & (0.7656) \tabularnewline
PS;lifespan & 0.1054 & 0.1469 & 0.0702 \tabularnewline
p-value & (0.415) & (0.2545) & (0.4254) \tabularnewline
PS;gesttime & -0.2063 & -0.6598 & -0.5003 \tabularnewline
p-value & (0.1077) & (0) & (0) \tabularnewline
PS;predation & -0.2238 & -0.4622 & -0.3688 \tabularnewline
p-value & (0.0804) & (2e-04) & (2e-04) \tabularnewline
PS;sleepex & -0.1734 & -0.3211 & -0.2459 \tabularnewline
p-value & (0.1777) & (0.0109) & (0.0102) \tabularnewline
PS;danger & 0.1005 & 0.0568 & 0.0201 \tabularnewline
p-value & (0.4371) & (0.6612) & (0.8215) \tabularnewline
totsleep;lifespan & 0.0035 & 0.3126 & 0.2136 \tabularnewline
p-value & (0.9786) & (0.0134) & (0.0148) \tabularnewline
totsleep;gesttime & -0.0972 & -0.1895 & -0.1529 \tabularnewline
p-value & (0.4522) & (0.1401) & (0.0894) \tabularnewline
totsleep;predation & 0.0107 & 0.1817 & 0.1367 \tabularnewline
p-value & (0.9339) & (0.1575) & (0.1584) \tabularnewline
totsleep;sleepex & -0.047 & -0.1375 & -0.1082 \tabularnewline
p-value & (0.7166) & (0.2865) & (0.2557) \tabularnewline
totsleep;danger & 0.0575 & -0.0528 & -0.0421 \tabularnewline
p-value & (0.6571) & (0.6835) & (0.6347) \tabularnewline
lifespan;gesttime & 0.2589 & -0.2177 & -0.1212 \tabularnewline
p-value & (0.0421) & (0.0892) & (0.1788) \tabularnewline
lifespan;predation & 0.0478 & 0.1467 & 0.1157 \tabularnewline
p-value & (0.712) & (0.2552) & (0.2334) \tabularnewline
lifespan;sleepex & 0.2298 & 0.2544 & 0.1894 \tabularnewline
p-value & (0.0724) & (0.046) & (0.047) \tabularnewline
lifespan;danger & 0.0783 & 0.0813 & 0.0719 \tabularnewline
p-value & (0.5452) & (0.5301) & (0.4178) \tabularnewline
gesttime;predation & 0.265 & 0.4539 & 0.3524 \tabularnewline
p-value & (0.0374) & (2e-04) & (4e-04) \tabularnewline
gesttime;sleepex & 0.422 & 0.5353 & 0.4603 \tabularnewline
p-value & (6e-04) & (0) & (0) \tabularnewline
gesttime;danger & -0.0141 & 0.0607 & 0.0463 \tabularnewline
p-value & (0.9135) & (0.6392) & (0.6112) \tabularnewline
predation;sleepex & 0.7492 & 0.687 & 0.5882 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
predation;danger & 0.0057 & 0.265 & 0.2205 \tabularnewline
p-value & (0.9647) & (0.0374) & (0.0247) \tabularnewline
sleepex;danger & 0.0445 & 0.1529 & 0.1135 \tabularnewline
p-value & (0.7311) & (0.2356) & (0.2393) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113026&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]bodyw;brainw[/C][C]0.7337[/C][C]0.1356[/C][C]0.1123[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.2933)[/C][C](0.1997)[/C][/ROW]
[ROW][C]bodyw;SWS[/C][C]0.0362[/C][C]-0.4476[/C][C]-0.3082[/C][/ROW]
[ROW][C]p-value[/C][C](0.7798)[/C][C](3e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]bodyw;PS[/C][C]0.007[/C][C]-0.2186[/C][C]-0.1555[/C][/ROW]
[ROW][C]p-value[/C][C](0.9568)[/C][C](0.0879)[/C][C](0.0767)[/C][/ROW]
[ROW][C]bodyw;totsleep[/C][C]-0.0062[/C][C]0.2743[/C][C]0.2128[/C][/ROW]
[ROW][C]p-value[/C][C](0.9618)[/C][C](0.031)[/C][C](0.0148)[/C][/ROW]
[ROW][C]bodyw;lifespan[/C][C]0.1771[/C][C]0.6413[/C][C]0.4439[/C][/ROW]
[ROW][C]p-value[/C][C](0.1685)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]bodyw;gesttime[/C][C]0.3042[/C][C]0.0802[/C][C]0.0516[/C][/ROW]
[ROW][C]p-value[/C][C](0.0162)[/C][C](0.5355)[/C][C](0.5658)[/C][/ROW]
[ROW][C]bodyw;predation[/C][C]0.1874[/C][C]0.3441[/C][C]0.2591[/C][/ROW]
[ROW][C]p-value[/C][C](0.1447)[/C][C](0.0062)[/C][C](0.0074)[/C][/ROW]
[ROW][C]bodyw;sleepex[/C][C]0.2873[/C][C]0.4289[/C][C]0.3275[/C][/ROW]
[ROW][C]p-value[/C][C](0.0236)[/C][C](5e-04)[/C][C](6e-04)[/C][/ROW]
[ROW][C]bodyw;danger[/C][C]-0.042[/C][C]0.1238[/C][C]0.0932[/C][/ROW]
[ROW][C]p-value[/C][C](0.7458)[/C][C](0.3379)[/C][C](0.292)[/C][/ROW]
[ROW][C]brainw;SWS[/C][C]0.2631[/C][C]0.2923[/C][C]0.2426[/C][/ROW]
[ROW][C]p-value[/C][C](0.0388)[/C][C](0.0211)[/C][C](0.0066)[/C][/ROW]
[ROW][C]brainw;PS[/C][C]0.1557[/C][C]0.0257[/C][C]0.1154[/C][/ROW]
[ROW][C]p-value[/C][C](0.2268)[/C][C](0.8426)[/C][C](0.1907)[/C][/ROW]
[ROW][C]brainw;totsleep[/C][C]-0.078[/C][C]-0.4357[/C][C]-0.2907[/C][/ROW]
[ROW][C]p-value[/C][C](0.5467)[/C][C](4e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]brainw;lifespan[/C][C]-0.0443[/C][C]-0.12[/C][C]-0.0807[/C][/ROW]
[ROW][C]p-value[/C][C](0.7325)[/C][C](0.3527)[/C][C](0.3586)[/C][/ROW]
[ROW][C]brainw;gesttime[/C][C]0.3159[/C][C]0.2397[/C][C]0.1445[/C][/ROW]
[ROW][C]p-value[/C][C](0.0124)[/C][C](0.0606)[/C][C](0.1093)[/C][/ROW]
[ROW][C]brainw;predation[/C][C]0.014[/C][C]-0.1706[/C][C]-0.1371[/C][/ROW]
[ROW][C]p-value[/C][C](0.9142)[/C][C](0.1849)[/C][C](0.1582)[/C][/ROW]
[ROW][C]brainw;sleepex[/C][C]0.2049[/C][C]0.117[/C][C]0.0691[/C][/ROW]
[ROW][C]p-value[/C][C](0.1102)[/C][C](0.3651)[/C][C](0.4686)[/C][/ROW]
[ROW][C]brainw;danger[/C][C]-0.0151[/C][C]0.1689[/C][C]0.1251[/C][/ROW]
[ROW][C]p-value[/C][C](0.9073)[/C][C](0.1895)[/C][C](0.1592)[/C][/ROW]
[ROW][C]SWS;PS[/C][C]0.6288[/C][C]0.1227[/C][C]0.116[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.342)[/C][C](0.1949)[/C][/ROW]
[ROW][C]SWS;totsleep[/C][C]0.069[/C][C]-0.1721[/C][C]-0.0587[/C][/ROW]
[ROW][C]p-value[/C][C](0.594)[/C][C](0.1809)[/C][C](0.5095)[/C][/ROW]
[ROW][C]SWS;lifespan[/C][C]0.0937[/C][C]-0.4661[/C][C]-0.3339[/C][/ROW]
[ROW][C]p-value[/C][C](0.4688)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]SWS;gesttime[/C][C]-0.2116[/C][C]0.0375[/C][C]0.0028[/C][/ROW]
[ROW][C]p-value[/C][C](0.0987)[/C][C](0.7722)[/C][C](0.9755)[/C][/ROW]
[ROW][C]SWS;predation[/C][C]-0.1585[/C][C]-0.2672[/C][C]-0.2106[/C][/ROW]
[ROW][C]p-value[/C][C](0.2187)[/C][C](0.0358)[/C][C](0.0327)[/C][/ROW]
[ROW][C]SWS;sleepex[/C][C]-0.0716[/C][C]-0.3344[/C][C]-0.265[/C][/ROW]
[ROW][C]p-value[/C][C](0.5805)[/C][C](0.0079)[/C][C](0.0062)[/C][/ROW]
[ROW][C]SWS;danger[/C][C]0.0867[/C][C]-0.0496[/C][C]-0.0458[/C][/ROW]
[ROW][C]p-value[/C][C](0.5028)[/C][C](0.7018)[/C][C](0.6114)[/C][/ROW]
[ROW][C]PS;totsleep[/C][C]-0.085[/C][C]-0.0562[/C][C]-0.0262[/C][/ROW]
[ROW][C]p-value[/C][C](0.5112)[/C][C](0.6645)[/C][C](0.7656)[/C][/ROW]
[ROW][C]PS;lifespan[/C][C]0.1054[/C][C]0.1469[/C][C]0.0702[/C][/ROW]
[ROW][C]p-value[/C][C](0.415)[/C][C](0.2545)[/C][C](0.4254)[/C][/ROW]
[ROW][C]PS;gesttime[/C][C]-0.2063[/C][C]-0.6598[/C][C]-0.5003[/C][/ROW]
[ROW][C]p-value[/C][C](0.1077)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PS;predation[/C][C]-0.2238[/C][C]-0.4622[/C][C]-0.3688[/C][/ROW]
[ROW][C]p-value[/C][C](0.0804)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]PS;sleepex[/C][C]-0.1734[/C][C]-0.3211[/C][C]-0.2459[/C][/ROW]
[ROW][C]p-value[/C][C](0.1777)[/C][C](0.0109)[/C][C](0.0102)[/C][/ROW]
[ROW][C]PS;danger[/C][C]0.1005[/C][C]0.0568[/C][C]0.0201[/C][/ROW]
[ROW][C]p-value[/C][C](0.4371)[/C][C](0.6612)[/C][C](0.8215)[/C][/ROW]
[ROW][C]totsleep;lifespan[/C][C]0.0035[/C][C]0.3126[/C][C]0.2136[/C][/ROW]
[ROW][C]p-value[/C][C](0.9786)[/C][C](0.0134)[/C][C](0.0148)[/C][/ROW]
[ROW][C]totsleep;gesttime[/C][C]-0.0972[/C][C]-0.1895[/C][C]-0.1529[/C][/ROW]
[ROW][C]p-value[/C][C](0.4522)[/C][C](0.1401)[/C][C](0.0894)[/C][/ROW]
[ROW][C]totsleep;predation[/C][C]0.0107[/C][C]0.1817[/C][C]0.1367[/C][/ROW]
[ROW][C]p-value[/C][C](0.9339)[/C][C](0.1575)[/C][C](0.1584)[/C][/ROW]
[ROW][C]totsleep;sleepex[/C][C]-0.047[/C][C]-0.1375[/C][C]-0.1082[/C][/ROW]
[ROW][C]p-value[/C][C](0.7166)[/C][C](0.2865)[/C][C](0.2557)[/C][/ROW]
[ROW][C]totsleep;danger[/C][C]0.0575[/C][C]-0.0528[/C][C]-0.0421[/C][/ROW]
[ROW][C]p-value[/C][C](0.6571)[/C][C](0.6835)[/C][C](0.6347)[/C][/ROW]
[ROW][C]lifespan;gesttime[/C][C]0.2589[/C][C]-0.2177[/C][C]-0.1212[/C][/ROW]
[ROW][C]p-value[/C][C](0.0421)[/C][C](0.0892)[/C][C](0.1788)[/C][/ROW]
[ROW][C]lifespan;predation[/C][C]0.0478[/C][C]0.1467[/C][C]0.1157[/C][/ROW]
[ROW][C]p-value[/C][C](0.712)[/C][C](0.2552)[/C][C](0.2334)[/C][/ROW]
[ROW][C]lifespan;sleepex[/C][C]0.2298[/C][C]0.2544[/C][C]0.1894[/C][/ROW]
[ROW][C]p-value[/C][C](0.0724)[/C][C](0.046)[/C][C](0.047)[/C][/ROW]
[ROW][C]lifespan;danger[/C][C]0.0783[/C][C]0.0813[/C][C]0.0719[/C][/ROW]
[ROW][C]p-value[/C][C](0.5452)[/C][C](0.5301)[/C][C](0.4178)[/C][/ROW]
[ROW][C]gesttime;predation[/C][C]0.265[/C][C]0.4539[/C][C]0.3524[/C][/ROW]
[ROW][C]p-value[/C][C](0.0374)[/C][C](2e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]gesttime;sleepex[/C][C]0.422[/C][C]0.5353[/C][C]0.4603[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]gesttime;danger[/C][C]-0.0141[/C][C]0.0607[/C][C]0.0463[/C][/ROW]
[ROW][C]p-value[/C][C](0.9135)[/C][C](0.6392)[/C][C](0.6112)[/C][/ROW]
[ROW][C]predation;sleepex[/C][C]0.7492[/C][C]0.687[/C][C]0.5882[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]predation;danger[/C][C]0.0057[/C][C]0.265[/C][C]0.2205[/C][/ROW]
[ROW][C]p-value[/C][C](0.9647)[/C][C](0.0374)[/C][C](0.0247)[/C][/ROW]
[ROW][C]sleepex;danger[/C][C]0.0445[/C][C]0.1529[/C][C]0.1135[/C][/ROW]
[ROW][C]p-value[/C][C](0.7311)[/C][C](0.2356)[/C][C](0.2393)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113026&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113026&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
bodyw;brainw	0.7337	0.1356	0.1123
p-value	(0)	(0.2933)	(0.1997)
bodyw;SWS	0.0362	-0.4476	-0.3082
p-value	(0.7798)	(3e-04)	(5e-04)
bodyw;PS	0.007	-0.2186	-0.1555
p-value	(0.9568)	(0.0879)	(0.0767)
bodyw;totsleep	-0.0062	0.2743	0.2128
p-value	(0.9618)	(0.031)	(0.0148)
bodyw;lifespan	0.1771	0.6413	0.4439
p-value	(0.1685)	(0)	(0)
bodyw;gesttime	0.3042	0.0802	0.0516
p-value	(0.0162)	(0.5355)	(0.5658)
bodyw;predation	0.1874	0.3441	0.2591
p-value	(0.1447)	(0.0062)	(0.0074)
bodyw;sleepex	0.2873	0.4289	0.3275
p-value	(0.0236)	(5e-04)	(6e-04)
bodyw;danger	-0.042	0.1238	0.0932
p-value	(0.7458)	(0.3379)	(0.292)
brainw;SWS	0.2631	0.2923	0.2426
p-value	(0.0388)	(0.0211)	(0.0066)
brainw;PS	0.1557	0.0257	0.1154
p-value	(0.2268)	(0.8426)	(0.1907)
brainw;totsleep	-0.078	-0.4357	-0.2907
p-value	(0.5467)	(4e-04)	(9e-04)
brainw;lifespan	-0.0443	-0.12	-0.0807
p-value	(0.7325)	(0.3527)	(0.3586)
brainw;gesttime	0.3159	0.2397	0.1445
p-value	(0.0124)	(0.0606)	(0.1093)
brainw;predation	0.014	-0.1706	-0.1371
p-value	(0.9142)	(0.1849)	(0.1582)
brainw;sleepex	0.2049	0.117	0.0691
p-value	(0.1102)	(0.3651)	(0.4686)
brainw;danger	-0.0151	0.1689	0.1251
p-value	(0.9073)	(0.1895)	(0.1592)
SWS;PS	0.6288	0.1227	0.116
p-value	(0)	(0.342)	(0.1949)
SWS;totsleep	0.069	-0.1721	-0.0587
p-value	(0.594)	(0.1809)	(0.5095)
SWS;lifespan	0.0937	-0.4661	-0.3339
p-value	(0.4688)	(1e-04)	(2e-04)
SWS;gesttime	-0.2116	0.0375	0.0028
p-value	(0.0987)	(0.7722)	(0.9755)
SWS;predation	-0.1585	-0.2672	-0.2106
p-value	(0.2187)	(0.0358)	(0.0327)
SWS;sleepex	-0.0716	-0.3344	-0.265
p-value	(0.5805)	(0.0079)	(0.0062)
SWS;danger	0.0867	-0.0496	-0.0458
p-value	(0.5028)	(0.7018)	(0.6114)
PS;totsleep	-0.085	-0.0562	-0.0262
p-value	(0.5112)	(0.6645)	(0.7656)
PS;lifespan	0.1054	0.1469	0.0702
p-value	(0.415)	(0.2545)	(0.4254)
PS;gesttime	-0.2063	-0.6598	-0.5003
p-value	(0.1077)	(0)	(0)
PS;predation	-0.2238	-0.4622	-0.3688
p-value	(0.0804)	(2e-04)	(2e-04)
PS;sleepex	-0.1734	-0.3211	-0.2459
p-value	(0.1777)	(0.0109)	(0.0102)
PS;danger	0.1005	0.0568	0.0201
p-value	(0.4371)	(0.6612)	(0.8215)
totsleep;lifespan	0.0035	0.3126	0.2136
p-value	(0.9786)	(0.0134)	(0.0148)
totsleep;gesttime	-0.0972	-0.1895	-0.1529
p-value	(0.4522)	(0.1401)	(0.0894)
totsleep;predation	0.0107	0.1817	0.1367
p-value	(0.9339)	(0.1575)	(0.1584)
totsleep;sleepex	-0.047	-0.1375	-0.1082
p-value	(0.7166)	(0.2865)	(0.2557)
totsleep;danger	0.0575	-0.0528	-0.0421
p-value	(0.6571)	(0.6835)	(0.6347)
lifespan;gesttime	0.2589	-0.2177	-0.1212
p-value	(0.0421)	(0.0892)	(0.1788)
lifespan;predation	0.0478	0.1467	0.1157
p-value	(0.712)	(0.2552)	(0.2334)
lifespan;sleepex	0.2298	0.2544	0.1894
p-value	(0.0724)	(0.046)	(0.047)
lifespan;danger	0.0783	0.0813	0.0719
p-value	(0.5452)	(0.5301)	(0.4178)
gesttime;predation	0.265	0.4539	0.3524
p-value	(0.0374)	(2e-04)	(4e-04)
gesttime;sleepex	0.422	0.5353	0.4603
p-value	(6e-04)	(0)	(0)
gesttime;danger	-0.0141	0.0607	0.0463
p-value	(0.9135)	(0.6392)	(0.6112)
predation;sleepex	0.7492	0.687	0.5882
p-value	(0)	(0)	(0)
predation;danger	0.0057	0.265	0.2205
p-value	(0.9647)	(0.0374)	(0.0247)
sleepex;danger	0.0445	0.1529	0.1135
p-value	(0.7311)	(0.2356)	(0.2393)

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