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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 13 Nov 2009 06:11:44 -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/13/t1258118009eyd6cwameihmfyn.htm/, Retrieved Sun, 05 May 2024 17:24:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56577, Retrieved Sun, 05 May 2024 17:24:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130

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] [kendall tau corre...] [2009-11-13 13:11:44] [1c773da0103d9327c2f1f790e2d74438] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,5557	162,31	0,79209	36,9042
1,5750	161,56	0,79487	37,0494
1,5527	156,59	0,77494	36,8259
1,4748	157,97	0,75094	36,1357
1,4718	158,68	0,74725	36,0300
1,4570	163,55	0,72064	35,7927
1,4684	162,89	0,70896	35,9174
1,4227	164,95	0,69614	35,4008
1,3896	159,82	0,68887	35,1723
1,3622	159,05	0,67766	34,9211
1,3716	166,76	0,67440	35,0292
1,3419	164,55	0,67562	34,7739
1,3511	163,22	0,68136	34,8999
1,3516	160,68	0,67934	34,9054
1,3242	155,24	0,68021	34,5680
1,3074	157,60	0,66800	34,4060
1,2999	156,56	0,66341	34,4578
1,3213	154,82	0,67286	34,7316
1,2881	151,11	0,67397	34,2602
1,2611	149,65	0,67254	33,8849
1,2727	148,99	0,67511	34,0549
1,2811	148,53	0,67669	34,2755
1,2684	146,70	0,68782	34,1393
1,2650	145,11	0,68666	34,1587
1,2770	142,70	0,68330	34,5386
1,2271	143,59	0,69463	33,7987
1,2020	140,96	0,68935	33,4973
1,1938	140,77	0,68297	33,6802
1,2103	139,81	0,68598	34,3284
1,1856	140,58	0,67922	34,1538
1,1786	139,59	0,67933	33,9184
1,2015	138,05	0,68137	34,3262
1,2256	136,06	0,67760	34,7750
1,2292	135,98	0,68527	35,0119
1,2037	134,75	0,68756	34,5513
1,2165	132,22	0,66895	34,6951
1,2694	135,37	0,68399	35,4730
1,2938	138,84	0,68293	35,9794
1,3201	138,83	0,69233	36,4789
1,3014	136,55	0,68968	36,3910
1,3119	135,63	0,69867	36,6704
1,3408	139,14	0,69500	37,4162
1,2991	136,09	0,69862	37,1185

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56577&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56577&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( dollar/euro , japanseyen/euro )0.5149501661129573.32394348045995e-07
tau( dollar/euro , pondVK/euro )0.3111849390919160.00300897174557391
tau( dollar/euro , roebel/euro )0.5791805094130685.03076336144659e-09
tau( japanseyen/euro , pondVK/euro )0.007751937984496120.950245134965615
tau( japanseyen/euro , roebel/euro )0.09856035437430790.359248770240634
tau( pondVK/euro , roebel/euro )0.4130675526024366.24234906616561e-05

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( dollar/euro , japanseyen/euro ) & 0.514950166112957 & 3.32394348045995e-07 \tabularnewline
tau( dollar/euro , pondVK/euro ) & 0.311184939091916 & 0.00300897174557391 \tabularnewline
tau( dollar/euro , roebel/euro ) & 0.579180509413068 & 5.03076336144659e-09 \tabularnewline
tau( japanseyen/euro , pondVK/euro ) & 0.00775193798449612 & 0.950245134965615 \tabularnewline
tau( japanseyen/euro , roebel/euro ) & 0.0985603543743079 & 0.359248770240634 \tabularnewline
tau( pondVK/euro , roebel/euro ) & 0.413067552602436 & 6.24234906616561e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56577&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( dollar/euro , japanseyen/euro )[/C][C]0.514950166112957[/C][C]3.32394348045995e-07[/C][/ROW]
[ROW][C]tau( dollar/euro , pondVK/euro )[/C][C]0.311184939091916[/C][C]0.00300897174557391[/C][/ROW]
[ROW][C]tau( dollar/euro , roebel/euro )[/C][C]0.579180509413068[/C][C]5.03076336144659e-09[/C][/ROW]
[ROW][C]tau( japanseyen/euro , pondVK/euro )[/C][C]0.00775193798449612[/C][C]0.950245134965615[/C][/ROW]
[ROW][C]tau( japanseyen/euro , roebel/euro )[/C][C]0.0985603543743079[/C][C]0.359248770240634[/C][/ROW]
[ROW][C]tau( pondVK/euro , roebel/euro )[/C][C]0.413067552602436[/C][C]6.24234906616561e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56577&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:

Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( dollar/euro , japanseyen/euro )0.5149501661129573.32394348045995e-07
tau( dollar/euro , pondVK/euro )0.3111849390919160.00300897174557391
tau( dollar/euro , roebel/euro )0.5791805094130685.03076336144659e-09
tau( japanseyen/euro , pondVK/euro )0.007751937984496120.950245134965615
tau( japanseyen/euro , roebel/euro )0.09856035437430790.359248770240634
tau( pondVK/euro , roebel/euro )0.4130675526024366.24234906616561e-05


Figures (Output of Computation)

Input Parameters & R Code

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