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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSat, 01 May 2010 13:16:27 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/01/t1272719927n0kn4f9k9r4886t.htm/, Retrieved Fri, 26 Apr 2024 23:23:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75140, Retrieved Fri, 26 Apr 2024 23:23:07 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [Sleep in Mammals ...] [2010-03-20 10:44:59] [b98453cac15ba1066b407e146608df68]
-   PD    [Kendall tau Correlation Matrix] [Review of Sleep A...] [2010-05-01 13:16:27] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- RMP       [Kendall tau Correlation Matrix] [] [2010-12-17 14:19:04] [94f495cfd7e7946e5228cbd267a6841d]
- RMPD      [Recursive Partitioning (Regression Trees)] [] [2010-12-17 14:38:35] [94f495cfd7e7946e5228cbd267a6841d]
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Dataset

Dataseries X:
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Histogram
Boxplots 
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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75140&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]1 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=75140&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75140&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Correlations for all pairs of data series (kendall)
logSWSlogPSlogLlogWblogWbrlogtglogPlogSlogD
logSWS10.417-0.3-0.483-0.492-0.485-0.242-0.43-0.389
logPS0.4171-0.237-0.277-0.324-0.461-0.392-0.471-0.527
logL-0.3-0.23710.5270.650.533-0.0060.410.162
logWb-0.483-0.2770.52710.7940.520.1620.480.276
logWbr-0.492-0.3240.650.79410.5990.1260.4910.269
logtg-0.485-0.4610.5330.520.59910.0750.4620.229
logP-0.242-0.392-0.0060.1620.1260.07510.5220.876
logS-0.43-0.4710.410.480.4910.4620.52210.659
logD-0.389-0.5270.1620.2760.2690.2290.8760.6591

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (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=75140&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (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=75140&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75140&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (kendall)
logSWSlogPSlogLlogWblogWbrlogtglogPlogSlogD
logSWS10.417-0.3-0.483-0.492-0.485-0.242-0.43-0.389
logPS0.4171-0.237-0.277-0.324-0.461-0.392-0.471-0.527
logL-0.3-0.23710.5270.650.533-0.0060.410.162
logWb-0.483-0.2770.52710.7940.520.1620.480.276
logWbr-0.492-0.3240.650.79410.5990.1260.4910.269
logtg-0.485-0.4610.5330.520.59910.0750.4620.229
logP-0.242-0.392-0.0060.1620.1260.07510.5220.876
logS-0.43-0.4710.410.480.4910.4620.52210.659
logD-0.389-0.5270.1620.2760.2690.2290.8760.6591






Correlations for all pairs of data series (kendall) with p-values
paircorrelationp-value
logSWS;logPS0.4165028133939360.000239461146343212
logSWS;logL-0.2999324608310740.0077136434162315
logSWS;logWb-0.4829972205961321.72063594354035e-05
logSWS;logWbr-0.4921877617941571.17162106272999e-05
logSWS;logtg-0.4850154244827891.62292409393720e-05
logSWS;logP-0.2421318198593440.04578541865735
logSWS;logS-0.4298642291257050.000489293307264879
logSWS;logD-0.3887679166201850.00138416629967602
logPS;logL-0.2373194236462200.0360175671807245
logPS;logWb-0.2765375048027980.0143780200735214
logPS;logWbr-0.324232823430290.0040843236441198
logPS;logtg-0.4606077294463944.65776835010963e-05
logPS;logP-0.3919332836890380.00130312933373404
logPS;logS-0.4705562013365910.000147339656485132
logPS;logD-0.5266472061194851.64561987053777e-05
logL;logWb0.5268171143398432.64434584096307e-06
logL;logWbr0.6499345505201776.71946276398216e-09
logL;logtg0.5329708913388172.07465413826213e-06
logL;logP-0.006003407901250480.960431420755444
logL;logS0.4101295281497850.000860623454862042
logL;logD0.1615299068320520.183149612517118
logWb;logWbr0.793500520392031.32804878205661e-12
logWb;logtg0.5196748338685323.55154095887933e-06
logWb;logP0.1617622225275540.180480304482922
logWb;logS0.4798632003724259.36869284602349e-05
logWb;logD0.2756993506713720.0228362971730300
logWbr;logtg0.599323273522568.80445836237698e-08
logWbr;logP0.1257299079378690.297599436727983
logWbr;logS0.4905082529606576.45563916017444e-05
logWbr;logD0.2694906154466750.0259960089790334
logtg;logP0.07499160141093660.535162671679509
logtg;logS0.4616710305575690.000174148780832661
logtg;logD0.2293071070122810.0586360191400337
logP;logS0.5217617364964198.43461700064108e-05
logP;logD0.8759515980621322.14877005078051e-11
logS;logD0.6590658893403517.34146722081164e-07

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (kendall) with p-values \tabularnewline
pair & correlation & p-value \tabularnewline
logSWS;logPS & 0.416502813393936 & 0.000239461146343212 \tabularnewline
logSWS;logL & -0.299932460831074 & 0.0077136434162315 \tabularnewline
logSWS;logWb & -0.482997220596132 & 1.72063594354035e-05 \tabularnewline
logSWS;logWbr & -0.492187761794157 & 1.17162106272999e-05 \tabularnewline
logSWS;logtg & -0.485015424482789 & 1.62292409393720e-05 \tabularnewline
logSWS;logP & -0.242131819859344 & 0.04578541865735 \tabularnewline
logSWS;logS & -0.429864229125705 & 0.000489293307264879 \tabularnewline
logSWS;logD & -0.388767916620185 & 0.00138416629967602 \tabularnewline
logPS;logL & -0.237319423646220 & 0.0360175671807245 \tabularnewline
logPS;logWb & -0.276537504802798 & 0.0143780200735214 \tabularnewline
logPS;logWbr & -0.32423282343029 & 0.0040843236441198 \tabularnewline
logPS;logtg & -0.460607729446394 & 4.65776835010963e-05 \tabularnewline
logPS;logP & -0.391933283689038 & 0.00130312933373404 \tabularnewline
logPS;logS & -0.470556201336591 & 0.000147339656485132 \tabularnewline
logPS;logD & -0.526647206119485 & 1.64561987053777e-05 \tabularnewline
logL;logWb & 0.526817114339843 & 2.64434584096307e-06 \tabularnewline
logL;logWbr & 0.649934550520177 & 6.71946276398216e-09 \tabularnewline
logL;logtg & 0.532970891338817 & 2.07465413826213e-06 \tabularnewline
logL;logP & -0.00600340790125048 & 0.960431420755444 \tabularnewline
logL;logS & 0.410129528149785 & 0.000860623454862042 \tabularnewline
logL;logD & 0.161529906832052 & 0.183149612517118 \tabularnewline
logWb;logWbr & 0.79350052039203 & 1.32804878205661e-12 \tabularnewline
logWb;logtg & 0.519674833868532 & 3.55154095887933e-06 \tabularnewline
logWb;logP & 0.161762222527554 & 0.180480304482922 \tabularnewline
logWb;logS & 0.479863200372425 & 9.36869284602349e-05 \tabularnewline
logWb;logD & 0.275699350671372 & 0.0228362971730300 \tabularnewline
logWbr;logtg & 0.59932327352256 & 8.80445836237698e-08 \tabularnewline
logWbr;logP & 0.125729907937869 & 0.297599436727983 \tabularnewline
logWbr;logS & 0.490508252960657 & 6.45563916017444e-05 \tabularnewline
logWbr;logD & 0.269490615446675 & 0.0259960089790334 \tabularnewline
logtg;logP & 0.0749916014109366 & 0.535162671679509 \tabularnewline
logtg;logS & 0.461671030557569 & 0.000174148780832661 \tabularnewline
logtg;logD & 0.229307107012281 & 0.0586360191400337 \tabularnewline
logP;logS & 0.521761736496419 & 8.43461700064108e-05 \tabularnewline
logP;logD & 0.875951598062132 & 2.14877005078051e-11 \tabularnewline
logS;logD & 0.659065889340351 & 7.34146722081164e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75140&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series (kendall) with p-values[/C][/ROW]
[ROW][C]pair[/C][C]correlation[/C][C]p-value[/C][/ROW]
[ROW][C]logSWS;logPS[/C][C]0.416502813393936[/C][C]0.000239461146343212[/C][/ROW]
[ROW][C]logSWS;logL[/C][C]-0.299932460831074[/C][C]0.0077136434162315[/C][/ROW]
[ROW][C]logSWS;logWb[/C][C]-0.482997220596132[/C][C]1.72063594354035e-05[/C][/ROW]
[ROW][C]logSWS;logWbr[/C][C]-0.492187761794157[/C][C]1.17162106272999e-05[/C][/ROW]
[ROW][C]logSWS;logtg[/C][C]-0.485015424482789[/C][C]1.62292409393720e-05[/C][/ROW]
[ROW][C]logSWS;logP[/C][C]-0.242131819859344[/C][C]0.04578541865735[/C][/ROW]
[ROW][C]logSWS;logS[/C][C]-0.429864229125705[/C][C]0.000489293307264879[/C][/ROW]
[ROW][C]logSWS;logD[/C][C]-0.388767916620185[/C][C]0.00138416629967602[/C][/ROW]
[ROW][C]logPS;logL[/C][C]-0.237319423646220[/C][C]0.0360175671807245[/C][/ROW]
[ROW][C]logPS;logWb[/C][C]-0.276537504802798[/C][C]0.0143780200735214[/C][/ROW]
[ROW][C]logPS;logWbr[/C][C]-0.32423282343029[/C][C]0.0040843236441198[/C][/ROW]
[ROW][C]logPS;logtg[/C][C]-0.460607729446394[/C][C]4.65776835010963e-05[/C][/ROW]
[ROW][C]logPS;logP[/C][C]-0.391933283689038[/C][C]0.00130312933373404[/C][/ROW]
[ROW][C]logPS;logS[/C][C]-0.470556201336591[/C][C]0.000147339656485132[/C][/ROW]
[ROW][C]logPS;logD[/C][C]-0.526647206119485[/C][C]1.64561987053777e-05[/C][/ROW]
[ROW][C]logL;logWb[/C][C]0.526817114339843[/C][C]2.64434584096307e-06[/C][/ROW]
[ROW][C]logL;logWbr[/C][C]0.649934550520177[/C][C]6.71946276398216e-09[/C][/ROW]
[ROW][C]logL;logtg[/C][C]0.532970891338817[/C][C]2.07465413826213e-06[/C][/ROW]
[ROW][C]logL;logP[/C][C]-0.00600340790125048[/C][C]0.960431420755444[/C][/ROW]
[ROW][C]logL;logS[/C][C]0.410129528149785[/C][C]0.000860623454862042[/C][/ROW]
[ROW][C]logL;logD[/C][C]0.161529906832052[/C][C]0.183149612517118[/C][/ROW]
[ROW][C]logWb;logWbr[/C][C]0.79350052039203[/C][C]1.32804878205661e-12[/C][/ROW]
[ROW][C]logWb;logtg[/C][C]0.519674833868532[/C][C]3.55154095887933e-06[/C][/ROW]
[ROW][C]logWb;logP[/C][C]0.161762222527554[/C][C]0.180480304482922[/C][/ROW]
[ROW][C]logWb;logS[/C][C]0.479863200372425[/C][C]9.36869284602349e-05[/C][/ROW]
[ROW][C]logWb;logD[/C][C]0.275699350671372[/C][C]0.0228362971730300[/C][/ROW]
[ROW][C]logWbr;logtg[/C][C]0.59932327352256[/C][C]8.80445836237698e-08[/C][/ROW]
[ROW][C]logWbr;logP[/C][C]0.125729907937869[/C][C]0.297599436727983[/C][/ROW]
[ROW][C]logWbr;logS[/C][C]0.490508252960657[/C][C]6.45563916017444e-05[/C][/ROW]
[ROW][C]logWbr;logD[/C][C]0.269490615446675[/C][C]0.0259960089790334[/C][/ROW]
[ROW][C]logtg;logP[/C][C]0.0749916014109366[/C][C]0.535162671679509[/C][/ROW]
[ROW][C]logtg;logS[/C][C]0.461671030557569[/C][C]0.000174148780832661[/C][/ROW]
[ROW][C]logtg;logD[/C][C]0.229307107012281[/C][C]0.0586360191400337[/C][/ROW]
[ROW][C]logP;logS[/C][C]0.521761736496419[/C][C]8.43461700064108e-05[/C][/ROW]
[ROW][C]logP;logD[/C][C]0.875951598062132[/C][C]2.14877005078051e-11[/C][/ROW]
[ROW][C]logS;logD[/C][C]0.659065889340351[/C][C]7.34146722081164e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75140&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75140&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (kendall) with p-values
paircorrelationp-value
logSWS;logPS0.4165028133939360.000239461146343212
logSWS;logL-0.2999324608310740.0077136434162315
logSWS;logWb-0.4829972205961321.72063594354035e-05
logSWS;logWbr-0.4921877617941571.17162106272999e-05
logSWS;logtg-0.4850154244827891.62292409393720e-05
logSWS;logP-0.2421318198593440.04578541865735
logSWS;logS-0.4298642291257050.000489293307264879
logSWS;logD-0.3887679166201850.00138416629967602
logPS;logL-0.2373194236462200.0360175671807245
logPS;logWb-0.2765375048027980.0143780200735214
logPS;logWbr-0.324232823430290.0040843236441198
logPS;logtg-0.4606077294463944.65776835010963e-05
logPS;logP-0.3919332836890380.00130312933373404
logPS;logS-0.4705562013365910.000147339656485132
logPS;logD-0.5266472061194851.64561987053777e-05
logL;logWb0.5268171143398432.64434584096307e-06
logL;logWbr0.6499345505201776.71946276398216e-09
logL;logtg0.5329708913388172.07465413826213e-06
logL;logP-0.006003407901250480.960431420755444
logL;logS0.4101295281497850.000860623454862042
logL;logD0.1615299068320520.183149612517118
logWb;logWbr0.793500520392031.32804878205661e-12
logWb;logtg0.5196748338685323.55154095887933e-06
logWb;logP0.1617622225275540.180480304482922
logWb;logS0.4798632003724259.36869284602349e-05
logWb;logD0.2756993506713720.0228362971730300
logWbr;logtg0.599323273522568.80445836237698e-08
logWbr;logP0.1257299079378690.297599436727983
logWbr;logS0.4905082529606576.45563916017444e-05
logWbr;logD0.2694906154466750.0259960089790334
logtg;logP0.07499160141093660.535162671679509
logtg;logS0.4616710305575690.000174148780832661
logtg;logD0.2293071070122810.0586360191400337
logP;logS0.5217617364964198.43461700064108e-05
logP;logD0.8759515980621322.14877005078051e-11
logS;logD0.6590658893403517.34146722081164e-07


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = my name ; par2 = my source ; par3 = my description ; par4 = 4 ;
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$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,paste('Correlations for all pairs of data series (',par1,') with p-values',sep=''),3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'correlation',1,TRUE)
a<-table.element(a,'p-value',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)
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,r$estimate)
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')