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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 computationSat, 06 Dec 2008 11:21:09 -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/2008/Dec/06/t1228587748bsbsasjsf0dxpbf.htm/, Retrieved Fri, 17 May 2024 04:09:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29793, Retrieved Fri, 17 May 2024 04:09:19 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
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...] [2008-12-06 18:21:09] [382e90e66f02be5ed86892bdc1574692] [Current]
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Dataseries X:
0,9554	24,67	935,9
0,9922	25,59	937,1
0,9778	26,09	885,1
0,9808	28,37	892,4
0,9811	27,34	987,3
1,0014	24,46	946,3
1,0183	27,46	799,6
1,0622	30,23	875,4
1,0773	32,33	846,2
1,0807	29,87	880,6
1,0848	24,87	885,7
1,1582	25,48	868,9
1,1663	27,28	882,5
1,1372	28,24	789,6
1,1139	29,58	773,3
1,1222	26,95	804,3
1,1692	29,08	817,8
1,1702	28,76	836,7
1,2286	29,59	721,8
1,2613	30,7	760,8
1,2646	30,52	841,4
1,2262	32,67	1045,6
1,1985	33,19	949,2
1,2007	37,13	850,1
1,2138	35,54	957,4
1,2266	37,75	851,8
1,2176	41,84	913,9
1,2218	42,94	888
1,249	49,14	973,8
1,2991	44,61	927,6
1,3408	40,22	833
1,3119	44,23	879,5
1,3014	45,85	797,3
1,3201	53,38	834,5
1,2938	53,26	735,1
1,2694	51,8	835
1,2165	55,3	892,8
1,2037	57,81	697,2
1,2292	63,96	821,1
1,2256	63,77	732,7
1,2015	59,15	797,6
1,1786	56,12	866,3
1,1856	57,42	826,3
1,2103	63,52	778,6
1,1938	61,71	779,2
1,202	63,01	951
1,2271	68,18	692,3
1,277	72,03	841,4
1,265	69,75	857,3
1,2684	74,41	760,7
1,2811	74,33	841,2
1,2727	64,24	810,3
1,2611	60,03	1007,4
1,2881	59,44	931,3
1,3213	62,5	931,2
1,2999	55,04	855,8
1,3074	58,34	858,4
1,3242	61,92	925,9
1,3516	67,65	930,7
1,3511	67,68	1035,6




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=29793&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=29793&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29793&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( RefWK , Brent )0.5005649717514121.59661714960180e-08
tau( RefWK , BelgInvoerUSA )-0.03334275352098310.706689859148128
tau( Brent , BelgInvoerUSA )-0.1169822030312460.18674890730736

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( RefWK , Brent ) & 0.500564971751412 & 1.59661714960180e-08 \tabularnewline
tau( RefWK , BelgInvoerUSA ) & -0.0333427535209831 & 0.706689859148128 \tabularnewline
tau( Brent , BelgInvoerUSA ) & -0.116982203031246 & 0.18674890730736 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29793&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( RefWK , Brent )[/C][C]0.500564971751412[/C][C]1.59661714960180e-08[/C][/ROW]
[ROW][C]tau( RefWK , BelgInvoerUSA )[/C][C]-0.0333427535209831[/C][C]0.706689859148128[/C][/ROW]
[ROW][C]tau( Brent , BelgInvoerUSA )[/C][C]-0.116982203031246[/C][C]0.18674890730736[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29793&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29793&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
pairtaup-value
tau( RefWK , Brent )0.5005649717514121.59661714960180e-08
tau( RefWK , BelgInvoerUSA )-0.03334275352098310.706689859148128
tau( Brent , BelgInvoerUSA )-0.1169822030312460.18674890730736



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')