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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 16 Nov 2009 10:25:54 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/16/t1258392512srt55wr49243ol5.htm/, Retrieved Fri, 02 Dec 2022 09:34:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57347, Retrieved Fri, 02 Dec 2022 09:34:18 +0000
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User-defined keywords
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
- R  D    [Kendall tau Correlation Matrix] [] [2009-11-16 17:25:54] [21edaefb91319406e70b6c03c71b58b3] [Current]
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Dataseries X:
2,6	2,00	2849,27	10872
2,3	2,00	2921,44	10625
2,3	2,00	2981,85	10407
2,6	2,00	3080,58	10463
3,1	2,00	3106,22	10556
2,8	2,00	3119,31	10646
2,5	2,00	3061,26	10702
2,9	2,00	3097,31	11353
3,1	2,00	3161,69	11346
3,1	2,00	3257,16	11451
3,2	2,00	3277,01	11964
2,5	2,00	3295,32	12574
2,6	2,00	3363,99	13031
2,9	2,21	3494,17	13812
2,6	2,25	3667,03	14544
2,4	2,25	3813,06	14931
1,7	2,45	3917,96	14886
2,0	2,50	3895,51	16005
2,2	2,50	3801,06	17064
1,9	2,64	3570,12	15168
1,6	2,75	3701,61	16050
1,6	2,93	3862,27	15839
1,2	3,00	3970,10	15137
1,2	3,17	4138,52	14954
1,5	3,25	4199,75	15648
1,6	3,39	4290,89	15305
1,7	3,50	4443,91	15579
1,8	3,50	4502,64	16348
1,8	3,65	4356,98	15928
1,8	3,75	4591,27	16171
1,3	3,75	4696,96	15937
1,3	3,90	4621,40	15713
1,4	4,00	4562,84	15594
1,1	4,00	4202,52	15683
1,5	4,00	4296,49	16438
2,2	4,00	4435,23	17032
2,9	4,00	4105,18	17696
3,1	4,00	4116,68	17745
3,5	4,00	3844,49	19394
3,6	4,00	3720,98	20148
4,4	4,00	3674,40	20108
4,2	4,00	3857,62	18584
5,2	4,00	3801,06	18441
5,8	4,00	3504,37	18391
5,9	4,18	3032,60	19178
5,4	4,25	3047,03	18079
5,5	4,25	2962,34	18483
4,7	3,97	2197,82	19644
3,1	3,42	2014,45	19195
2,6	2,75	1862,83	19650
2,3	2,31	1905,41	20830
1,9	2,00	1810,99	23595
0,6	1,66	1670,07	22937
0,6	1,31	1864,44	21814
-0,4	1,09	2052,02	21928
-1,1	1,00	2029,60	21777
-1,7	1,00	2070,83	21383
-0,8	1,00	2293,41	21467
-1,2	1,00	2443,27	22052
-1,0	1,00	2513,17	22680

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 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=57347&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=57347&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57347&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 1 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

 Kendall tau rank correlations for all pairs of data series pair tau p-value tau( Aindex , rente ) 0.277348240947629 0.00290071198913155 tau( Aindex , BEL20 ) -0.0863157362444323 0.33495311298078 tau( Aindex , Goud(EUR/kg) ) -0.115436110359507 0.197116157430710 tau( rente , BEL20 ) 0.460494647035945 5.89116928351174e-07 tau( rente , Goud(EUR/kg) ) 0.201632533460807 0.0287000312456509 tau( BEL20 , Goud(EUR/kg) ) -0.148629562305399 0.0934585848619314

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Aindex , rente ) & 0.277348240947629 & 0.00290071198913155 \tabularnewline
tau( Aindex , BEL20 ) & -0.0863157362444323 & 0.33495311298078 \tabularnewline
tau( Aindex , Goud(EUR/kg) ) & -0.115436110359507 & 0.197116157430710 \tabularnewline
tau( rente , BEL20 ) & 0.460494647035945 & 5.89116928351174e-07 \tabularnewline
tau( rente , Goud(EUR/kg) ) & 0.201632533460807 & 0.0287000312456509 \tabularnewline
tau( BEL20 , Goud(EUR/kg) ) & -0.148629562305399 & 0.0934585848619314 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57347&T=1

[TABLE]
[ROW][C]Kendall tau rank correlations for all pairs of data series[/C][/ROW]
[ROW][C]pair[/C][C]tau[/C][C]p-value[/C][/ROW]
[ROW][C]tau( Aindex , rente )[/C][C]0.277348240947629[/C][C]0.00290071198913155[/C][/ROW]
[ROW][C]tau( Aindex , BEL20 )[/C][C]-0.0863157362444323[/C][C]0.33495311298078[/C][/ROW]
[ROW][C]tau( Aindex , Goud(EUR/kg) )[/C][C]-0.115436110359507[/C][C]0.197116157430710[/C][/ROW]
[ROW][C]tau( rente , BEL20 )[/C][C]0.460494647035945[/C][C]5.89116928351174e-07[/C][/ROW]
[ROW][C]tau( rente , Goud(EUR/kg) )[/C][C]0.201632533460807[/C][C]0.0287000312456509[/C][/ROW]
[ROW][C]tau( BEL20 , Goud(EUR/kg) )[/C][C]-0.148629562305399[/C][C]0.0934585848619314[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57347&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57347&T=1

As an alternative you can also use a QR Code:

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

 Kendall tau rank correlations for all pairs of data series pair tau p-value tau( Aindex , rente ) 0.277348240947629 0.00290071198913155 tau( Aindex , BEL20 ) -0.0863157362444323 0.33495311298078 tau( Aindex , Goud(EUR/kg) ) -0.115436110359507 0.197116157430710 tau( rente , BEL20 ) 0.460494647035945 5.89116928351174e-07 tau( rente , Goud(EUR/kg) ) 0.201632533460807 0.0287000312456509 tau( BEL20 , Goud(EUR/kg) ) -0.148629562305399 0.0934585848619314

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='kendall')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$counts; y <- y/max(y)rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)}bitmap(file='test1.png')pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)dev.off()load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'pair',1,TRUE)a<-table.element(a,'tau',1,TRUE)a<-table.element(a,'p-value',1,TRUE)a<-table.row.end(a)n <- length(y[,1])ncor.test(y[1,],y[2,],method='kendall')for (i in 1:(n-1)){for (j in (i+1):n){a<-table.row.start(a)dum <- paste('tau(',dimnames(t(x))[[2]][i])dum <- paste(dum,',')dum <- paste(dum,dimnames(t(x))[[2]][j])dum <- paste(dum,')')a<-table.element(a,dum,header=TRUE)r <- cor.test(y[i,],y[j,],method='kendall')a<-table.element(a,r$estimate)a<-table.element(a,r\$p.value)a<-table.row.end(a)}}a<-table.end(a)table.save(a,file='mytable.tab')