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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 05 Dec 2007 10:26:03 -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/t1196874829k3i42379a5bc1ej.htm/, Retrieved Thu, 02 May 2024 15:32:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2493, Retrieved Thu, 02 May 2024 15:32:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact220

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] [Verbetering Opdra...] [2007-12-05 17:26:03] [cb172450b25aceeff04d58e88e905157] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,6	476	0	13642,9
2,5	475	0,2	13734,5
2,5	470	0,5	13742,7
1,6	461	0,4	13315,9
1,4	455	0,2	13217,1
0,8	456	0	13200,6
1,1	517	-0,1	13409,5
1,3	525	0,1	13761,2
1,2	523	0,3	13782,6
1,3	519	0,3	13958,4
1,1	509	-0,1	14030,2
1,3	512	0,4	14143,4
1,2	519	-0,2	14835
1,6	517	0,4	14873,4
1,7	510	0,6	14958,6
1,5	509	0,1	14242,2
0,9	501	-0,1	14098,2
1,5	507	0,1	14143,1
1,4	569	-0,1	14051,4
1,6	580	0,2	14297,4
1,7	578	0,4	14218,2
1,4	565	0,1	14483,2
1,8	547	0,1	14469,2
1,7	555	0,3	14536,1
1,4	562	-0,2	15195,1
1,2	561	0,2	15397,8
1	555	0,6	15193,6
1,7	544	0,4	14474,7
2,4	537	0,3	14366,1
2	543	0	14319,9
2,1	594	-0,2	14332,4
2	611	0,2	14718
1,8	613	0,2	14645,3
2,7	611	0,3	14910,2
2,3	594	-0,1	15007,7
1,9	595	0,4	15065,5
2	591	-0,6	15616,2
2,3	589	0,3	15609,3
2,8	584	0,6	15601,7
2,4	573	0,4	14942,4
2,3	567	0,3	14995,5
2,7	569	0,1	14747,8
2,7	621	-0,1	14452,7
2,9	629	0,3	14957,5
3	628	0,5	14787,6
2,2	612	0,2	15286
2,3	595	-0,2	15040,6
2,8	597	0,3	15075,3
2,8	593	-0,5	15833,2
2,8	590	0,3	15527,7
2,2	580	0,5	15387,8
2,6	574	0,7	14470,4
2,8	573	0,3	13995,6
2,5	573	0,1	14189,7
2,4	620	-0,1	13881,3
2,3	626	0,1	14135,3
1,9	620	0	13827,5
1,7	588	0,1	14031,3
2	566	0,1	14091,9
2,1	557	0,4	13986,7

Tables (Output of Computation)





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=2493&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=2493&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2493&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 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( InflatieBelgië , WerkloosheidBelgië )0.4197042973481363.47191597738217e-06
tau( InflatieBelgië , InflatieEU15 )0.1322053926286080.161520390884871
tau( InflatieBelgië , WerkloosheidEU15 )0.2309672563734060.0103899149733568
tau( WerkloosheidBelgië , InflatieEU15 )-0.04258623324424150.647434920303013
tau( WerkloosheidBelgië , WerkloosheidEU15 )0.3634841815700054.32511459182994e-05
tau( InflatieEU15 , WerkloosheidEU15 )0.1087630844063070.241193648945892

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( InflatieBelgië , WerkloosheidBelgië ) & 0.419704297348136 & 3.47191597738217e-06 \tabularnewline
tau( InflatieBelgië , InflatieEU15 ) & 0.132205392628608 & 0.161520390884871 \tabularnewline
tau( InflatieBelgië , WerkloosheidEU15 ) & 0.230967256373406 & 0.0103899149733568 \tabularnewline
tau( WerkloosheidBelgië , InflatieEU15 ) & -0.0425862332442415 & 0.647434920303013 \tabularnewline
tau( WerkloosheidBelgië , WerkloosheidEU15 ) & 0.363484181570005 & 4.32511459182994e-05 \tabularnewline
tau( InflatieEU15 , WerkloosheidEU15 ) & 0.108763084406307 & 0.241193648945892 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2493&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( InflatieBelgië , WerkloosheidBelgië )[/C][C]0.419704297348136[/C][C]3.47191597738217e-06[/C][/ROW]
[ROW][C]tau( InflatieBelgië , InflatieEU15 )[/C][C]0.132205392628608[/C][C]0.161520390884871[/C][/ROW]
[ROW][C]tau( InflatieBelgië , WerkloosheidEU15 )[/C][C]0.230967256373406[/C][C]0.0103899149733568[/C][/ROW]
[ROW][C]tau( WerkloosheidBelgië , InflatieEU15 )[/C][C]-0.0425862332442415[/C][C]0.647434920303013[/C][/ROW]
[ROW][C]tau( WerkloosheidBelgië , WerkloosheidEU15 )[/C][C]0.363484181570005[/C][C]4.32511459182994e-05[/C][/ROW]
[ROW][C]tau( InflatieEU15 , WerkloosheidEU15 )[/C][C]0.108763084406307[/C][C]0.241193648945892[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2493&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2493&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( InflatieBelgië , WerkloosheidBelgië )0.4197042973481363.47191597738217e-06
tau( InflatieBelgië , InflatieEU15 )0.1322053926286080.161520390884871
tau( InflatieBelgië , WerkloosheidEU15 )0.2309672563734060.0103899149733568
tau( WerkloosheidBelgië , InflatieEU15 )-0.04258623324424150.647434920303013
tau( WerkloosheidBelgië , WerkloosheidEU15 )0.3634841815700054.32511459182994e-05
tau( InflatieEU15 , WerkloosheidEU15 )0.1087630844063070.241193648945892


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')