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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 05 Dec 2007 10:44:09 -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/2007/Dec/05/t1196875915gt8tev9a5mfwbuk.htm/, Retrieved Fri, 03 May 2024 03:12:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2495, Retrieved Fri, 03 May 2024 03:12:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact241
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Oplossing Opdrach...] [2007-12-05 17:44:09] [cb172450b25aceeff04d58e88e905157] [Current]
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Dataseries X:
476	4.038684545	13642.9	0
475	3.813780613	13734.5	0.064820305
470	3.813780613	13742.7	0.307773919
461	1.987016728	13315.9	0.210610131
455	1.634859133	13217.1	0.064820305
456	0.721810023	13200.6	0
517	1.149399779	13409.5	-0.1995
525	1.467105406	13761.2	0.019949999
523	1.305199524	13782.6	0.129144606
519	1.467105406	13958.4	0.129144606
509	1.149399779	14030.2	-0.1995
512	1.467105406	14143.4	0.210610131
519	1.305199524	14835	-0.0648
517	1.987016728	14873.4	0.210610131
510	2.171029929	14958.6	0.419608672
509	1.808231366	14242.2	0.019949999
501	0.857338428	14098.2	-0.1995
507	1.808231366	14143.1	0.019949999
569	1.634859133	14051.4	-0.1995
580	1.987016728	14297.4	0.064820305
578	2.171029929	14218.2	0.210610131
565	1.634859133	14483.2	0.019949999
547	2.360102718	14469.2	0.019949999
555	2.171029929	14536.1	0.129144606
562	1.634859133	15195.1	-0.0648
561	1.305199524	15397.8	0.064820305
555	1	15193.6	0.419608672
544	2.171029929	14474.7	0.210610131
537	3.592985973	14366.1	0.129144606
543	2.752825072	14319.9	0
594	2.956203564	14332.4	-0.0648
611	2.752825072	14718	0.064820305
613	2.360102718	14645.3	0.064820305
611	4.267611763	14910.2	0.129144606
594	3.376392098	15007.7	-0.1995
595	2.554081444	15065.5	0.210610131
591	2.752825072	15616.2	-0.4196
589	3.376392098	15609.3	0.129144606
584	4.50048121	15601.7	0.419608672
573	3.592985973	14942.4	0.210610131
567	3.376392098	14995.5	0.129144606
569	4.267611763	14747.8	0.019949999
621	4.267611763	14452.7	-0.1995
629	4.737216323	14957.5	0.129144606
628	4.977744641	14787.6	0.307773919
612	3.164096529	15286	0.064820305
595	3.376392098	15040.6	-0.0648
597	4.50048121	15075.3	0.129144606
593	4.50048121	15833.2	-0.3078
590	4.50048121	15527.7	0.129144606
580	3.164096529	15387.8	0.307773919
574	4.038684545	14470.4	0.54532803
573	4.50048121	13995.6	0.129144606
573	3.813780613	14189.7	0.019949999
620	3.592985973	13881.3	-0.1995
626	3.376392098	14135.3	0.019949999
620	2.554081444	13827.5	0
588	2.171029929	14031.3	0.019949999
566	2.752825072	14091.9	0.019949999
557	2.956203564	13986.7	0.210610131




Summary of compuational 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 compuational 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=2495&T=0

[TABLE]
[ROW][C]Summary of compuational 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=2495&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2495&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 compuational 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( WerkloosheidBelgië , InflatieBelgië )0.4197042973481363.47191597738217e-06
tau( WerkloosheidBelgië , WerkloosheidEU15 )0.3634841815700054.32511459182994e-05
tau( WerkloosheidBelgië , InflatieEU15 )-0.03898739663205210.675449242290636
tau( InflatieBelgië , WerkloosheidEU15 )0.2309672563734060.0103899149733568
tau( InflatieBelgië , InflatieEU15 )0.1346423583913470.153931163016779
tau( WerkloosheidEU15 , InflatieEU15 )0.1350574564605790.145572059664691

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( WerkloosheidBelgië , InflatieBelgië ) & 0.419704297348136 & 3.47191597738217e-06 \tabularnewline
tau( WerkloosheidBelgië , WerkloosheidEU15 ) & 0.363484181570005 & 4.32511459182994e-05 \tabularnewline
tau( WerkloosheidBelgië , InflatieEU15 ) & -0.0389873966320521 & 0.675449242290636 \tabularnewline
tau( InflatieBelgië , WerkloosheidEU15 ) & 0.230967256373406 & 0.0103899149733568 \tabularnewline
tau( InflatieBelgië , InflatieEU15 ) & 0.134642358391347 & 0.153931163016779 \tabularnewline
tau( WerkloosheidEU15 , InflatieEU15 ) & 0.135057456460579 & 0.145572059664691 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2495&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( WerkloosheidBelgië , InflatieBelgië )[/C][C]0.419704297348136[/C][C]3.47191597738217e-06[/C][/ROW]
[ROW][C]tau( WerkloosheidBelgië , WerkloosheidEU15 )[/C][C]0.363484181570005[/C][C]4.32511459182994e-05[/C][/ROW]
[ROW][C]tau( WerkloosheidBelgië , InflatieEU15 )[/C][C]-0.0389873966320521[/C][C]0.675449242290636[/C][/ROW]
[ROW][C]tau( InflatieBelgië , WerkloosheidEU15 )[/C][C]0.230967256373406[/C][C]0.0103899149733568[/C][/ROW]
[ROW][C]tau( InflatieBelgië , InflatieEU15 )[/C][C]0.134642358391347[/C][C]0.153931163016779[/C][/ROW]
[ROW][C]tau( WerkloosheidEU15 , InflatieEU15 )[/C][C]0.135057456460579[/C][C]0.145572059664691[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2495&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2495&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( WerkloosheidBelgië , InflatieBelgië )0.4197042973481363.47191597738217e-06
tau( WerkloosheidBelgië , WerkloosheidEU15 )0.3634841815700054.32511459182994e-05
tau( WerkloosheidBelgië , InflatieEU15 )-0.03898739663205210.675449242290636
tau( InflatieBelgië , WerkloosheidEU15 )0.2309672563734060.0103899149733568
tau( InflatieBelgië , InflatieEU15 )0.1346423583913470.153931163016779
tau( WerkloosheidEU15 , InflatieEU15 )0.1350574564605790.145572059664691



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')