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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Fri, 17 Dec 2010 14:19:04 +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/17/t1292595429l8gm8doxrm3lexc.htm/, Retrieved Tue, 23 Apr 2024 08:43:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=111480, Retrieved Tue, 23 Apr 2024 08:43:22 +0000

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0.79934054945358	0.30102999566398	0.65321251377534	0	0.81954393554187	1.6232492903979	0.47712125471966	0	0.47712125471966
0.32221929473392	0.25527250510331	1.83884909073726	3.40602894496362	3.66304097489397	2.79518458968242	0.47712125471966	0.69897000433602	0.60205999132796
0.95904139232109	-0.15490195998574	1.43136376415899	1.02325245963371	2.25406445291434	2.25527250510331	0.60205999132796	0.60205999132796	0.60205999132796
1.19865708695442	0.5910646070265	1.27875360095283	-1.69897000433602	-0.52287874528034	1.54406804435028	0	0	0
0.7160033436348	0	1.48287358360875	2.20411998265592	2.22788670461367	2.59328606702046	0.60205999132796	0.69897000433602	0.60205999132796
1.03742649794062	0.55630250076729	1.44715803134222	0.51851393987789	1.40823996531185	1.79934054945358	0	0.30102999566398	0
0.91907809237607	0.14612803567824	1.69897000433602	1.71733758272386	2.64345267648619	2.36172783601759	0	0	0
1.04139268515823	0.17609125905568	0.84509804001426	-0.36653154442041	0.80617997398389	2.04921802267018	0.69897000433602	0.60205999132796	0.60205999132796
0.50514997831991	-0.15490195998574	1.47712125471966	2.66745295288995	2.62634036737504	2.44870631990508	0.69897000433602	0.69897000433602	0.69897000433602
0.79934054945358	0.32221929473392	0.54406804435028	-1.09691001300806	0.079181246047625	1.6232492903979	0	0	0
0.81954393554187	0.61278385671974	0.77815125038364	-0.10237290870956	0.54406804435028	1.6232492903979	0.30102999566398	0.30102999566398	0.30102999566398
0.97772360528885	0.079181246047625	1.01703333929878	-0.69897000433602	0.69897000433602	2.07918124604762	0.30102999566398	0.30102999566398	0.30102999566398
0.51851393987789	-0.30102999566398	1.30102999566398	1.44185217577329	2.06069784035361	2.17026171539496	0.69897000433602	0.69897000433602	0.69897000433602
1.04139268515823	0.53147891704226	0.5910646070265	-0.92081875395238	0	1.20411998265592	0.47712125471966	0	0.30102999566398
0.67209785793572	0.17609125905568	1.61278385671974	1.92941892571429	2.51188336097887	2.49136169383427	0	0.47712125471966	0
1.01703333929878	0.53147891704226	0.95424250943932	-1	0.60205999132796	1.44715803134222	0.69897000433602	0	0.47712125471966
0.86923171973098	-0.096910013008056	0.88081359228079	0.01703333929878	0.74036268949424	1.83250891270624	0.69897000433602	0.47712125471966	0.60205999132796
0.32221929473392	-0.096910013008056	1.66275783168157	2.71683772329952	2.81624129999178	2.52633927738984	0.69897000433602	0.69897000433602	0.69897000433602
1.25285303097989	0.30102999566398	1.38021124171161	-2	-0.60205999132796	1.69897000433602	0	0	0
0.78532983501077	0.27875360095283	2	1.79239168949825	3.12057393120585	2.42651126136458	0	0	0
1.07554696139253	0.11394335230684	0.50514997831991	-1.69897000433602	-0.39794000867204	1.27875360095283	0.60205999132796	0	0.47712125471966
1.13987908640124	0.7481880270062	0.69897000433602	0.23044892137827	0.79934054945358	1.07918124604762	0.30102999566398	0	0
1.15533603746506	0.49136169383427	0.81291335664286	0.54406804435028	1.03342375548695	2.07918124604762	0.30102999566398	0	0
1.18184358794477	0.25527250510331	1.07918124604762	-0.31875876262441	1.19033169817029	2.14612803567824	0.30102999566398	0.30102999566398	0.30102999566398
1	-0.045757490560675	1.30535136944662	1	2.06069784035361	2.23044892137827	0.60205999132796	0.60205999132796	0.60205999132796
1.07554696139253	0.25527250510331	1.11394335230684	0.20951501454263	1.05690485133647	1.23044892137827	0.30102999566398	0	0.30102999566398
0.81291335664286	0.27875360095283	1.43136376415899	2.28330122870355	2.25527250510331	2.06069784035361	0.60205999132796	0.60205999132796	0.60205999132796
0.8750612633917	-0.045757490560675	1.25527250510331	0.39794000867204	1.08278537031645	1.49136169383427	0.69897000433602	0.69897000433602	0.69897000433602
1.02530586526477	0.41497334797082	0.67209785793572	-0.55284196865778	0.27875360095283	1.32221929473392	0.47712125471966	0	0.47712125471966
0.86923171973098	0.38021124171161	0.99122607569249	0.62736585659273	1.70243053644553	1.7160033436348	0	0	0
0.92427928606188	0.079181246047625	1.46239799789896	0.83250891270624	2.25285303097989	2.2148438480477	0.30102999566398	0.47712125471966	0.30102999566398
0.75587485567249	-0.045757490560675	0.84509804001426	-0.1249387366083	1.0899051114394	2.35218251811136	0.30102999566398	0.30102999566398	0.30102999566398
0.69019608002851	-0.30102999566398	0.77815125038364	0.55630250076729	1.32221929473392	2.35218251811136	0.47712125471966	0.30102999566398	0.47712125471966
0.50514997831991	-0.22184874961636	1.30102999566398	1.74429298312268	2.24303804868629	2.17897694729317	0.69897000433602	0.69897000433602	0.69897000433602
1.04139268515823	0.36172783601759	0.65321251377534	-0.045757490560675	0.41497334797082	1.77815125038364	0.30102999566398	0	0.30102999566398
0.69019608002851	-0.30102999566398	0.8750612633917	0.30102999566398	1.0899051114394	2.30102999566398	0.47712125471966	0	0.47712125471966
1.12057393120585	0.41497334797082	0.36172783601759	-1	0.39794000867204	1.66275783168157	0.47712125471966	0.30102999566398	0.30102999566398
0.98677173426624	-0.22184874961636	1.38021124171161	0.6222140229663	1.76342799356294	2.32221929473392	0.60205999132796	0.47712125471966	0.60205999132796
1.10720996964787	0.81954393554187	0.47712125471966	0.54406804435028	0.5910646070265	1.14612803567824	0.30102999566398	0	0

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	'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111480&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111480&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111480&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	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=kendall)
	logSWS	logPS	logL	logWb	logWbr	logtg	logP	logS	logD
logSWS	1	0.417	-0.3	-0.483	-0.492	-0.485	-0.242	-0.43	-0.389
logPS	0.417	1	-0.237	-0.277	-0.324	-0.461	-0.392	-0.471	-0.527
logL	-0.3	-0.237	1	0.527	0.65	0.533	-0.006	0.41	0.162
logWb	-0.483	-0.277	0.527	1	0.794	0.52	0.162	0.48	0.276
logWbr	-0.492	-0.324	0.65	0.794	1	0.599	0.126	0.491	0.269
logtg	-0.485	-0.461	0.533	0.52	0.599	1	0.075	0.462	0.229
logP	-0.242	-0.392	-0.006	0.162	0.126	0.075	1	0.522	0.876
logS	-0.43	-0.471	0.41	0.48	0.491	0.462	0.522	1	0.659
logD	-0.389	-0.527	0.162	0.276	0.269	0.229	0.876	0.659	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & logSWS & logPS & logL & logWb & logWbr & logtg & logP & logS & logD \tabularnewline
logSWS & 1 & 0.417 & -0.3 & -0.483 & -0.492 & -0.485 & -0.242 & -0.43 & -0.389 \tabularnewline
logPS & 0.417 & 1 & -0.237 & -0.277 & -0.324 & -0.461 & -0.392 & -0.471 & -0.527 \tabularnewline
logL & -0.3 & -0.237 & 1 & 0.527 & 0.65 & 0.533 & -0.006 & 0.41 & 0.162 \tabularnewline
logWb & -0.483 & -0.277 & 0.527 & 1 & 0.794 & 0.52 & 0.162 & 0.48 & 0.276 \tabularnewline
logWbr & -0.492 & -0.324 & 0.65 & 0.794 & 1 & 0.599 & 0.126 & 0.491 & 0.269 \tabularnewline
logtg & -0.485 & -0.461 & 0.533 & 0.52 & 0.599 & 1 & 0.075 & 0.462 & 0.229 \tabularnewline
logP & -0.242 & -0.392 & -0.006 & 0.162 & 0.126 & 0.075 & 1 & 0.522 & 0.876 \tabularnewline
logS & -0.43 & -0.471 & 0.41 & 0.48 & 0.491 & 0.462 & 0.522 & 1 & 0.659 \tabularnewline
logD & -0.389 & -0.527 & 0.162 & 0.276 & 0.269 & 0.229 & 0.876 & 0.659 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111480&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]logSWS[/C][C]logPS[/C][C]logL[/C][C]logWb[/C][C]logWbr[/C][C]logtg[/C][C]logP[/C][C]logS[/C][C]logD[/C][/ROW]
[ROW][C]logSWS[/C][C]1[/C][C]0.417[/C][C]-0.3[/C][C]-0.483[/C][C]-0.492[/C][C]-0.485[/C][C]-0.242[/C][C]-0.43[/C][C]-0.389[/C][/ROW]
[ROW][C]logPS[/C][C]0.417[/C][C]1[/C][C]-0.237[/C][C]-0.277[/C][C]-0.324[/C][C]-0.461[/C][C]-0.392[/C][C]-0.471[/C][C]-0.527[/C][/ROW]
[ROW][C]logL[/C][C]-0.3[/C][C]-0.237[/C][C]1[/C][C]0.527[/C][C]0.65[/C][C]0.533[/C][C]-0.006[/C][C]0.41[/C][C]0.162[/C][/ROW]
[ROW][C]logWb[/C][C]-0.483[/C][C]-0.277[/C][C]0.527[/C][C]1[/C][C]0.794[/C][C]0.52[/C][C]0.162[/C][C]0.48[/C][C]0.276[/C][/ROW]
[ROW][C]logWbr[/C][C]-0.492[/C][C]-0.324[/C][C]0.65[/C][C]0.794[/C][C]1[/C][C]0.599[/C][C]0.126[/C][C]0.491[/C][C]0.269[/C][/ROW]
[ROW][C]logtg[/C][C]-0.485[/C][C]-0.461[/C][C]0.533[/C][C]0.52[/C][C]0.599[/C][C]1[/C][C]0.075[/C][C]0.462[/C][C]0.229[/C][/ROW]
[ROW][C]logP[/C][C]-0.242[/C][C]-0.392[/C][C]-0.006[/C][C]0.162[/C][C]0.126[/C][C]0.075[/C][C]1[/C][C]0.522[/C][C]0.876[/C][/ROW]
[ROW][C]logS[/C][C]-0.43[/C][C]-0.471[/C][C]0.41[/C][C]0.48[/C][C]0.491[/C][C]0.462[/C][C]0.522[/C][C]1[/C][C]0.659[/C][/ROW]
[ROW][C]logD[/C][C]-0.389[/C][C]-0.527[/C][C]0.162[/C][C]0.276[/C][C]0.269[/C][C]0.229[/C][C]0.876[/C][C]0.659[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111480&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111480&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=kendall)
	logSWS	logPS	logL	logWb	logWbr	logtg	logP	logS	logD
logSWS	1	0.417	-0.3	-0.483	-0.492	-0.485	-0.242	-0.43	-0.389
logPS	0.417	1	-0.237	-0.277	-0.324	-0.461	-0.392	-0.471	-0.527
logL	-0.3	-0.237	1	0.527	0.65	0.533	-0.006	0.41	0.162
logWb	-0.483	-0.277	0.527	1	0.794	0.52	0.162	0.48	0.276
logWbr	-0.492	-0.324	0.65	0.794	1	0.599	0.126	0.491	0.269
logtg	-0.485	-0.461	0.533	0.52	0.599	1	0.075	0.462	0.229
logP	-0.242	-0.392	-0.006	0.162	0.126	0.075	1	0.522	0.876
logS	-0.43	-0.471	0.41	0.48	0.491	0.462	0.522	1	0.659
logD	-0.389	-0.527	0.162	0.276	0.269	0.229	0.876	0.659	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
logSWS;logPS	0.558	0.5918	0.4165
p-value	(2e-04)	(1e-04)	(2e-04)
logSWS;logL	-0.4416	-0.4282	-0.2999
p-value	(0.0049)	(0.0065)	(0.0077)
logSWS;logWb	-0.7439	-0.6595	-0.483
p-value	(0)	(0)	(0)
logSWS;logWbr	-0.691	-0.6599	-0.4922
p-value	(0)	(0)	(0)
logSWS;logtg	-0.6368	-0.6623	-0.485
p-value	(0)	(0)	(0)
logSWS;logP	-0.329	-0.3119	-0.2421
p-value	(0.0409)	(0.0533)	(0.0458)
logSWS;logS	-0.5838	-0.5491	-0.4299
p-value	(1e-04)	(3e-04)	(5e-04)
logSWS;logD	-0.5006	-0.4905	-0.3888
p-value	(0.0012)	(0.0015)	(0.0014)
logPS;logL	-0.3459	-0.3893	-0.2373
p-value	(0.031)	(0.0143)	(0.036)
logPS;logWb	-0.3719	-0.4392	-0.2765
p-value	(0.0198)	(0.0052)	(0.0144)
logPS;logWbr	-0.4378	-0.5242	-0.3242
p-value	(0.0053)	(6e-04)	(0.0041)
logPS;logtg	-0.6455	-0.6521	-0.4606
p-value	(0)	(0)	(0)
logPS;logP	-0.4964	-0.5339	-0.3919
p-value	(0.0013)	(5e-04)	(0.0013)
logPS;logS	-0.6002	-0.6156	-0.4706
p-value	(1e-04)	(0)	(1e-04)
logPS;logD	-0.669	-0.6808	-0.5266
p-value	(0)	(0)	(0)
logL;logWb	0.6832	0.7079	0.5268
p-value	(0)	(0)	(0)
logL;logWbr	0.7766	0.8033	0.6499
p-value	(0)	(0)	(0)
logL;logtg	0.6792	0.7115	0.533
p-value	(0)	(0)	(0)
logL;logP	-0.0898	0.0122	-0.006
p-value	(0.5866)	(0.9412)	(0.9604)
logL;logS	0.4934	0.5242	0.4101
p-value	(0.0014)	(6e-04)	(9e-04)
logL;logD	0.1225	0.2072	0.1615
p-value	(0.4576)	(0.2057)	(0.1831)
logWb;logWbr	0.9448	0.9289	0.7935
p-value	(0)	(0)	(0)
logWb;logtg	0.695	0.709	0.5197
p-value	(0)	(0)	(0)
logWb;logP	0.2215	0.2161	0.1618
p-value	(0.1754)	(0.1864)	(0.1805)
logWb;logS	0.6189	0.5942	0.4799
p-value	(0)	(1e-04)	(1e-04)
logWb;logD	0.3375	0.3623	0.2757
p-value	(0.0356)	(0.0234)	(0.0228)
logWbr;logtg	0.7775	0.8082	0.5993
p-value	(0)	(0)	(0)
logWbr;logP	0.1499	0.1675	0.1257
p-value	(0.3623)	(0.3082)	(0.2976)
logWbr;logS	0.6061	0.5976	0.4905
p-value	(0)	(1e-04)	(1e-04)
logWbr;logD	0.2989	0.3414	0.2695
p-value	(0.0645)	(0.0334)	(0.026)
logtg;logP	0.1134	0.1162	0.075
p-value	(0.4919)	(0.4813)	(0.5352)
logtg;logS	0.6072	0.5771	0.4617
p-value	(0)	(1e-04)	(2e-04)
logtg;logD	0.3137	0.3115	0.2293
p-value	(0.0518)	(0.0535)	(0.0586)
logP;logS	0.5884	0.6186	0.5218
p-value	(1e-04)	(0)	(1e-04)
logP;logD	0.9279	0.9328	0.876
p-value	(0)	(0)	(0)
logS;logD	0.7107	0.7533	0.6591
p-value	(0)	(0)	(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
logSWS;logPS & 0.558 & 0.5918 & 0.4165 \tabularnewline
p-value & (2e-04) & (1e-04) & (2e-04) \tabularnewline
logSWS;logL & -0.4416 & -0.4282 & -0.2999 \tabularnewline
p-value & (0.0049) & (0.0065) & (0.0077) \tabularnewline
logSWS;logWb & -0.7439 & -0.6595 & -0.483 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logSWS;logWbr & -0.691 & -0.6599 & -0.4922 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logSWS;logtg & -0.6368 & -0.6623 & -0.485 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logSWS;logP & -0.329 & -0.3119 & -0.2421 \tabularnewline
p-value & (0.0409) & (0.0533) & (0.0458) \tabularnewline
logSWS;logS & -0.5838 & -0.5491 & -0.4299 \tabularnewline
p-value & (1e-04) & (3e-04) & (5e-04) \tabularnewline
logSWS;logD & -0.5006 & -0.4905 & -0.3888 \tabularnewline
p-value & (0.0012) & (0.0015) & (0.0014) \tabularnewline
logPS;logL & -0.3459 & -0.3893 & -0.2373 \tabularnewline
p-value & (0.031) & (0.0143) & (0.036) \tabularnewline
logPS;logWb & -0.3719 & -0.4392 & -0.2765 \tabularnewline
p-value & (0.0198) & (0.0052) & (0.0144) \tabularnewline
logPS;logWbr & -0.4378 & -0.5242 & -0.3242 \tabularnewline
p-value & (0.0053) & (6e-04) & (0.0041) \tabularnewline
logPS;logtg & -0.6455 & -0.6521 & -0.4606 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logPS;logP & -0.4964 & -0.5339 & -0.3919 \tabularnewline
p-value & (0.0013) & (5e-04) & (0.0013) \tabularnewline
logPS;logS & -0.6002 & -0.6156 & -0.4706 \tabularnewline
p-value & (1e-04) & (0) & (1e-04) \tabularnewline
logPS;logD & -0.669 & -0.6808 & -0.5266 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logWb & 0.6832 & 0.7079 & 0.5268 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logWbr & 0.7766 & 0.8033 & 0.6499 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logtg & 0.6792 & 0.7115 & 0.533 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logL;logP & -0.0898 & 0.0122 & -0.006 \tabularnewline
p-value & (0.5866) & (0.9412) & (0.9604) \tabularnewline
logL;logS & 0.4934 & 0.5242 & 0.4101 \tabularnewline
p-value & (0.0014) & (6e-04) & (9e-04) \tabularnewline
logL;logD & 0.1225 & 0.2072 & 0.1615 \tabularnewline
p-value & (0.4576) & (0.2057) & (0.1831) \tabularnewline
logWb;logWbr & 0.9448 & 0.9289 & 0.7935 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logWb;logtg & 0.695 & 0.709 & 0.5197 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logWb;logP & 0.2215 & 0.2161 & 0.1618 \tabularnewline
p-value & (0.1754) & (0.1864) & (0.1805) \tabularnewline
logWb;logS & 0.6189 & 0.5942 & 0.4799 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
logWb;logD & 0.3375 & 0.3623 & 0.2757 \tabularnewline
p-value & (0.0356) & (0.0234) & (0.0228) \tabularnewline
logWbr;logtg & 0.7775 & 0.8082 & 0.5993 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logWbr;logP & 0.1499 & 0.1675 & 0.1257 \tabularnewline
p-value & (0.3623) & (0.3082) & (0.2976) \tabularnewline
logWbr;logS & 0.6061 & 0.5976 & 0.4905 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
logWbr;logD & 0.2989 & 0.3414 & 0.2695 \tabularnewline
p-value & (0.0645) & (0.0334) & (0.026) \tabularnewline
logtg;logP & 0.1134 & 0.1162 & 0.075 \tabularnewline
p-value & (0.4919) & (0.4813) & (0.5352) \tabularnewline
logtg;logS & 0.6072 & 0.5771 & 0.4617 \tabularnewline
p-value & (0) & (1e-04) & (2e-04) \tabularnewline
logtg;logD & 0.3137 & 0.3115 & 0.2293 \tabularnewline
p-value & (0.0518) & (0.0535) & (0.0586) \tabularnewline
logP;logS & 0.5884 & 0.6186 & 0.5218 \tabularnewline
p-value & (1e-04) & (0) & (1e-04) \tabularnewline
logP;logD & 0.9279 & 0.9328 & 0.876 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
logS;logD & 0.7107 & 0.7533 & 0.6591 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111480&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]logSWS;logPS[/C][C]0.558[/C][C]0.5918[/C][C]0.4165[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]logSWS;logL[/C][C]-0.4416[/C][C]-0.4282[/C][C]-0.2999[/C][/ROW]
[ROW][C]p-value[/C][C](0.0049)[/C][C](0.0065)[/C][C](0.0077)[/C][/ROW]
[ROW][C]logSWS;logWb[/C][C]-0.7439[/C][C]-0.6595[/C][C]-0.483[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logSWS;logWbr[/C][C]-0.691[/C][C]-0.6599[/C][C]-0.4922[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logSWS;logtg[/C][C]-0.6368[/C][C]-0.6623[/C][C]-0.485[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logSWS;logP[/C][C]-0.329[/C][C]-0.3119[/C][C]-0.2421[/C][/ROW]
[ROW][C]p-value[/C][C](0.0409)[/C][C](0.0533)[/C][C](0.0458)[/C][/ROW]
[ROW][C]logSWS;logS[/C][C]-0.5838[/C][C]-0.5491[/C][C]-0.4299[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](3e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]logSWS;logD[/C][C]-0.5006[/C][C]-0.4905[/C][C]-0.3888[/C][/ROW]
[ROW][C]p-value[/C][C](0.0012)[/C][C](0.0015)[/C][C](0.0014)[/C][/ROW]
[ROW][C]logPS;logL[/C][C]-0.3459[/C][C]-0.3893[/C][C]-0.2373[/C][/ROW]
[ROW][C]p-value[/C][C](0.031)[/C][C](0.0143)[/C][C](0.036)[/C][/ROW]
[ROW][C]logPS;logWb[/C][C]-0.3719[/C][C]-0.4392[/C][C]-0.2765[/C][/ROW]
[ROW][C]p-value[/C][C](0.0198)[/C][C](0.0052)[/C][C](0.0144)[/C][/ROW]
[ROW][C]logPS;logWbr[/C][C]-0.4378[/C][C]-0.5242[/C][C]-0.3242[/C][/ROW]
[ROW][C]p-value[/C][C](0.0053)[/C][C](6e-04)[/C][C](0.0041)[/C][/ROW]
[ROW][C]logPS;logtg[/C][C]-0.6455[/C][C]-0.6521[/C][C]-0.4606[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logPS;logP[/C][C]-0.4964[/C][C]-0.5339[/C][C]-0.3919[/C][/ROW]
[ROW][C]p-value[/C][C](0.0013)[/C][C](5e-04)[/C][C](0.0013)[/C][/ROW]
[ROW][C]logPS;logS[/C][C]-0.6002[/C][C]-0.6156[/C][C]-0.4706[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]logPS;logD[/C][C]-0.669[/C][C]-0.6808[/C][C]-0.5266[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logL;logWb[/C][C]0.6832[/C][C]0.7079[/C][C]0.5268[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logL;logWbr[/C][C]0.7766[/C][C]0.8033[/C][C]0.6499[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logL;logtg[/C][C]0.6792[/C][C]0.7115[/C][C]0.533[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logL;logP[/C][C]-0.0898[/C][C]0.0122[/C][C]-0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.5866)[/C][C](0.9412)[/C][C](0.9604)[/C][/ROW]
[ROW][C]logL;logS[/C][C]0.4934[/C][C]0.5242[/C][C]0.4101[/C][/ROW]
[ROW][C]p-value[/C][C](0.0014)[/C][C](6e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]logL;logD[/C][C]0.1225[/C][C]0.2072[/C][C]0.1615[/C][/ROW]
[ROW][C]p-value[/C][C](0.4576)[/C][C](0.2057)[/C][C](0.1831)[/C][/ROW]
[ROW][C]logWb;logWbr[/C][C]0.9448[/C][C]0.9289[/C][C]0.7935[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logWb;logtg[/C][C]0.695[/C][C]0.709[/C][C]0.5197[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logWb;logP[/C][C]0.2215[/C][C]0.2161[/C][C]0.1618[/C][/ROW]
[ROW][C]p-value[/C][C](0.1754)[/C][C](0.1864)[/C][C](0.1805)[/C][/ROW]
[ROW][C]logWb;logS[/C][C]0.6189[/C][C]0.5942[/C][C]0.4799[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]logWb;logD[/C][C]0.3375[/C][C]0.3623[/C][C]0.2757[/C][/ROW]
[ROW][C]p-value[/C][C](0.0356)[/C][C](0.0234)[/C][C](0.0228)[/C][/ROW]
[ROW][C]logWbr;logtg[/C][C]0.7775[/C][C]0.8082[/C][C]0.5993[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logWbr;logP[/C][C]0.1499[/C][C]0.1675[/C][C]0.1257[/C][/ROW]
[ROW][C]p-value[/C][C](0.3623)[/C][C](0.3082)[/C][C](0.2976)[/C][/ROW]
[ROW][C]logWbr;logS[/C][C]0.6061[/C][C]0.5976[/C][C]0.4905[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]logWbr;logD[/C][C]0.2989[/C][C]0.3414[/C][C]0.2695[/C][/ROW]
[ROW][C]p-value[/C][C](0.0645)[/C][C](0.0334)[/C][C](0.026)[/C][/ROW]
[ROW][C]logtg;logP[/C][C]0.1134[/C][C]0.1162[/C][C]0.075[/C][/ROW]
[ROW][C]p-value[/C][C](0.4919)[/C][C](0.4813)[/C][C](0.5352)[/C][/ROW]
[ROW][C]logtg;logS[/C][C]0.6072[/C][C]0.5771[/C][C]0.4617[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]logtg;logD[/C][C]0.3137[/C][C]0.3115[/C][C]0.2293[/C][/ROW]
[ROW][C]p-value[/C][C](0.0518)[/C][C](0.0535)[/C][C](0.0586)[/C][/ROW]
[ROW][C]logP;logS[/C][C]0.5884[/C][C]0.6186[/C][C]0.5218[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]logP;logD[/C][C]0.9279[/C][C]0.9328[/C][C]0.876[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]logS;logD[/C][C]0.7107[/C][C]0.7533[/C][C]0.6591[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111480&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111480&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
logSWS;logPS	0.558	0.5918	0.4165
p-value	(2e-04)	(1e-04)	(2e-04)
logSWS;logL	-0.4416	-0.4282	-0.2999
p-value	(0.0049)	(0.0065)	(0.0077)
logSWS;logWb	-0.7439	-0.6595	-0.483
p-value	(0)	(0)	(0)
logSWS;logWbr	-0.691	-0.6599	-0.4922
p-value	(0)	(0)	(0)
logSWS;logtg	-0.6368	-0.6623	-0.485
p-value	(0)	(0)	(0)
logSWS;logP	-0.329	-0.3119	-0.2421
p-value	(0.0409)	(0.0533)	(0.0458)
logSWS;logS	-0.5838	-0.5491	-0.4299
p-value	(1e-04)	(3e-04)	(5e-04)
logSWS;logD	-0.5006	-0.4905	-0.3888
p-value	(0.0012)	(0.0015)	(0.0014)
logPS;logL	-0.3459	-0.3893	-0.2373
p-value	(0.031)	(0.0143)	(0.036)
logPS;logWb	-0.3719	-0.4392	-0.2765
p-value	(0.0198)	(0.0052)	(0.0144)
logPS;logWbr	-0.4378	-0.5242	-0.3242
p-value	(0.0053)	(6e-04)	(0.0041)
logPS;logtg	-0.6455	-0.6521	-0.4606
p-value	(0)	(0)	(0)
logPS;logP	-0.4964	-0.5339	-0.3919
p-value	(0.0013)	(5e-04)	(0.0013)
logPS;logS	-0.6002	-0.6156	-0.4706
p-value	(1e-04)	(0)	(1e-04)
logPS;logD	-0.669	-0.6808	-0.5266
p-value	(0)	(0)	(0)
logL;logWb	0.6832	0.7079	0.5268
p-value	(0)	(0)	(0)
logL;logWbr	0.7766	0.8033	0.6499
p-value	(0)	(0)	(0)
logL;logtg	0.6792	0.7115	0.533
p-value	(0)	(0)	(0)
logL;logP	-0.0898	0.0122	-0.006
p-value	(0.5866)	(0.9412)	(0.9604)
logL;logS	0.4934	0.5242	0.4101
p-value	(0.0014)	(6e-04)	(9e-04)
logL;logD	0.1225	0.2072	0.1615
p-value	(0.4576)	(0.2057)	(0.1831)
logWb;logWbr	0.9448	0.9289	0.7935
p-value	(0)	(0)	(0)
logWb;logtg	0.695	0.709	0.5197
p-value	(0)	(0)	(0)
logWb;logP	0.2215	0.2161	0.1618
p-value	(0.1754)	(0.1864)	(0.1805)
logWb;logS	0.6189	0.5942	0.4799
p-value	(0)	(1e-04)	(1e-04)
logWb;logD	0.3375	0.3623	0.2757
p-value	(0.0356)	(0.0234)	(0.0228)
logWbr;logtg	0.7775	0.8082	0.5993
p-value	(0)	(0)	(0)
logWbr;logP	0.1499	0.1675	0.1257
p-value	(0.3623)	(0.3082)	(0.2976)
logWbr;logS	0.6061	0.5976	0.4905
p-value	(0)	(1e-04)	(1e-04)
logWbr;logD	0.2989	0.3414	0.2695
p-value	(0.0645)	(0.0334)	(0.026)
logtg;logP	0.1134	0.1162	0.075
p-value	(0.4919)	(0.4813)	(0.5352)
logtg;logS	0.6072	0.5771	0.4617
p-value	(0)	(1e-04)	(2e-04)
logtg;logD	0.3137	0.3115	0.2293
p-value	(0.0518)	(0.0535)	(0.0586)
logP;logS	0.5884	0.6186	0.5218
p-value	(1e-04)	(0)	(1e-04)
logP;logD	0.9279	0.9328	0.876
p-value	(0)	(0)	(0)
logS;logD	0.7107	0.7533	0.6591
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

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