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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 computationThu, 17 Dec 2009 13:21:50 -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/Dec/17/t1261081385y0dsfklhxd1p1ey.htm/, Retrieved Tue, 30 Apr 2024 02:43:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69091, Retrieved Tue, 30 Apr 2024 02:43:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [WS 6: Kendall Tau...] [2009-11-07 15:01:54] [8cf9233b7464ea02e32be3b30fdac052]
-    D      [Kendall tau Correlation Matrix] [Paper: Multivaria...] [2009-12-17 20:21:50] [b9056af0304697100f456398102f1287] [Current]
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Dataseries X:
7.2	17	6.1	2.4
7.4	18	6.3	2
8.8	23.8	7.1	2.1
9.3	25.5	7.5	2
9.3	25.6	7.4	1.8
8.7	23.7	7.1	2.7
8.2	22	6.8	2.3
8.3	21.3	6.9	1.9
8.5	20.7	7.2	2
8.6	20.4	7.4	2.3
8.5	20.3	7.3	2.8
8.2	20.4	6.9	2.4
8.1	19.8	6.9	2.3
7.9	19.5	6.8	2.7
8.6	23.1	7.1	2.7
8.7	23.5	7.2	2.9
8.7	23.5	7.1	3
8.5	22.9	7	2.2
8.4	21.9	6.9	2.3
8.5	21.5	7.1	2.8
8.7	20.5	7.3	2.8
8.7	20.2	7.5	2.8
8.6	19.4	7.5	2.2
8.5	19.2	7.5	2.6
8.3	18.8	7.3	2.8
8	18.8	7	2.5
8.2	22.6	6.7	2.4
8.1	23.3	6.5	2.3
8.1	23	6.5	1.9
8	21.4	6.5	1.7
7.9	19.9	6.6	2
7.9	18.8	6.8	2.1
8	18.6	6.9	1.7
8	18.4	6.9	1.8
7.9	18.6	6.8	1.8
8	19.9	6.8	1.8
7.7	19.2	6.5	1.3
7.2	18.4	6.1	1.3
7.5	21.1	6.1	1.3
7.3	20.5	5.9	1.2
7	19.1	5.7	1.4
7	18.1	5.9	2.2
7	17	5.9	2.9
7.2	17.1	6.1	3.1
7.3	17.4	6.3	3.5
7.1	16.8	6.2	3.6
6.8	15.3	5.9	4.4
6.4	14.3	5.7	4.1
6.1	13.4	5.4	5.1
6.5	15.3	5.6	5.8
7.7	22.1	6.2	5.9
7.9	23.7	6.3	5.4
7.5	22.2	6	5.5
6.9	19.5	5.6	4.8
6.6	16.6	5.5	3.2
6.9	17.3	5.9	2.7
7.7	19.8	6.5	2.1
8	21.2	6.8	1.9
8	21.5	6.8	0.6
7.7	20.6	6.5	0.7




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=69091&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=69091&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69091&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( Totaal , -25 )0.5768237197353642.04278594040375e-10
tau( Totaal , +25 )0.8266151307230880
tau( Totaal , Geharmoniseerde_consumptieprijsindex )-0.07864013622249250.390780505405504
tau( -25 , +25 )0.3739691948485724.07176194792136e-05
tau( -25 , Geharmoniseerde_consumptieprijsindex )-0.1481788659269010.100521248213804
tau( +25 , Geharmoniseerde_consumptieprijsindex )-0.08555167843345580.352692989747980

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaal , -25 ) & 0.576823719735364 & 2.04278594040375e-10 \tabularnewline
tau( Totaal , +25 ) & 0.826615130723088 & 0 \tabularnewline
tau( Totaal , Geharmoniseerde_consumptieprijsindex ) & -0.0786401362224925 & 0.390780505405504 \tabularnewline
tau( -25 , +25 ) & 0.373969194848572 & 4.07176194792136e-05 \tabularnewline
tau( -25 , Geharmoniseerde_consumptieprijsindex ) & -0.148178865926901 & 0.100521248213804 \tabularnewline
tau( +25 , Geharmoniseerde_consumptieprijsindex ) & -0.0855516784334558 & 0.352692989747980 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69091&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( Totaal , -25 )[/C][C]0.576823719735364[/C][C]2.04278594040375e-10[/C][/ROW]
[ROW][C]tau( Totaal , +25 )[/C][C]0.826615130723088[/C][C]0[/C][/ROW]
[ROW][C]tau( Totaal , Geharmoniseerde_consumptieprijsindex )[/C][C]-0.0786401362224925[/C][C]0.390780505405504[/C][/ROW]
[ROW][C]tau( -25 , +25 )[/C][C]0.373969194848572[/C][C]4.07176194792136e-05[/C][/ROW]
[ROW][C]tau( -25 , Geharmoniseerde_consumptieprijsindex )[/C][C]-0.148178865926901[/C][C]0.100521248213804[/C][/ROW]
[ROW][C]tau( +25 , Geharmoniseerde_consumptieprijsindex )[/C][C]-0.0855516784334558[/C][C]0.352692989747980[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69091&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69091&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( Totaal , -25 )0.5768237197353642.04278594040375e-10
tau( Totaal , +25 )0.8266151307230880
tau( Totaal , Geharmoniseerde_consumptieprijsindex )-0.07864013622249250.390780505405504
tau( -25 , +25 )0.3739691948485724.07176194792136e-05
tau( -25 , Geharmoniseerde_consumptieprijsindex )-0.1481788659269010.100521248213804
tau( +25 , Geharmoniseerde_consumptieprijsindex )-0.08555167843345580.352692989747980



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')