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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 computationMon, 23 Nov 2009 03:59:45 -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/23/t12589742998g45y9sgkb1t8nl.htm/, Retrieved Fri, 03 May 2024 06:37:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58727, Retrieved Fri, 03 May 2024 06:37:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2009-11-23 10:59:45] [1c886d75b2eec2d50a82160bb8104e3b] [Current]
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Dataseries X:
8,7	7,7	10	2,7
8,2	7,5	9,2	2,3
8,3	7,6	9,2	1,9
8,5	7,8	9,5	2
8,6	7,8	9,6	2,3
8,5	7,8	9,5	2,8
8,2	7,5	9,1	2,4
8,1	7,5	8,9	2,3
7,9	7,1	9	2,7
8,6	7,5	10,1	2,7
8,7	7,5	10,3	2,9
8,7	7,6	10,2	3
8,5	7,7	9,6	2,2
8,4	7,7	9,2	2,3
8,5	7,9	9,3	2,8
8,7	8,1	9,4	2,8
8,7	8,2	9,4	2,8
8,6	8,2	9,2	2,2
8,5	8,2	9	2,6
8,3	7,9	9	2,8
8	7,3	9	2,5
8,2	6,9	9,8	2,4
8,1	6,6	10	2,3
8,1	6,7	9,8	1,9
8	6,9	9,3	1,7
7,9	7	9	2
7,9	7,1	9	2,1
8	7,2	9,1	1,7
8	7,1	9,1	1,8
7,9	6,9	9,1	1,8
8	7	9,2	1,8
7,7	6,8	8,8	1,3
7,2	6,4	8,3	1,3
7,5	6,7	8,4	1,3
7,3	6,6	8,1	1,2
7	6,4	7,7	1,4
7	6,3	7,9	2,2
7	6,2	7,9	2,9
7,2	6,5	8	3,1
7,3	6,8	7,9	3,5
7,1	6,8	7,6	3,6
6,8	6,4	7,1	4,4
6,4	6,1	6,8	4,1
6,1	5,8	6,5	5,1
6,5	6,1	6,9	5,8
7,7	7,2	8,2	5,9
7,9	7,3	8,7	5,4
7,5	6,9	8,3	5,5
6,9	6,1	7,9	4,8
6,6	5,8	7,5	3,2
6,9	6,2	7,8	2,7
7,7	7,1	8,3	2,1
8	7,7	8,4	1,9
8	7,9	8,2	0,6
7,7	7,7	7,7	0,7
7,3	7,4	7,2	-0,2
7,4	7,5	7,3	-1
8,1	8	8,1	-1,7
8,3	8,1	8,5	0,7
8,2	8	8,4	-1




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=58727&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=58727&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58727&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 , Mannen )0.677097033787361.89182003396127e-13
tau( Totaal , Vrouwen )0.7303495461920761.77635683940025e-15
tau( Totaal , Inflatie )-0.02638694907603150.773210191904441
tau( Mannen , Vrouwen )0.3675165271769195.6794681553507e-05
tau( Mannen , Inflatie )-0.1638511819492670.0721891597737005
tau( Vrouwen , Inflatie )0.005808899603693780.948999717445562

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaal , Mannen ) & 0.67709703378736 & 1.89182003396127e-13 \tabularnewline
tau( Totaal , Vrouwen ) & 0.730349546192076 & 1.77635683940025e-15 \tabularnewline
tau( Totaal , Inflatie ) & -0.0263869490760315 & 0.773210191904441 \tabularnewline
tau( Mannen , Vrouwen ) & 0.367516527176919 & 5.6794681553507e-05 \tabularnewline
tau( Mannen , Inflatie ) & -0.163851181949267 & 0.0721891597737005 \tabularnewline
tau( Vrouwen , Inflatie ) & 0.00580889960369378 & 0.948999717445562 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58727&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 , Mannen )[/C][C]0.67709703378736[/C][C]1.89182003396127e-13[/C][/ROW]
[ROW][C]tau( Totaal , Vrouwen )[/C][C]0.730349546192076[/C][C]1.77635683940025e-15[/C][/ROW]
[ROW][C]tau( Totaal , Inflatie )[/C][C]-0.0263869490760315[/C][C]0.773210191904441[/C][/ROW]
[ROW][C]tau( Mannen , Vrouwen )[/C][C]0.367516527176919[/C][C]5.6794681553507e-05[/C][/ROW]
[ROW][C]tau( Mannen , Inflatie )[/C][C]-0.163851181949267[/C][C]0.0721891597737005[/C][/ROW]
[ROW][C]tau( Vrouwen , Inflatie )[/C][C]0.00580889960369378[/C][C]0.948999717445562[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58727&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58727&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 , Mannen )0.677097033787361.89182003396127e-13
tau( Totaal , Vrouwen )0.7303495461920761.77635683940025e-15
tau( Totaal , Inflatie )-0.02638694907603150.773210191904441
tau( Mannen , Vrouwen )0.3675165271769195.6794681553507e-05
tau( Mannen , Inflatie )-0.1638511819492670.0721891597737005
tau( Vrouwen , Inflatie )0.005808899603693780.948999717445562



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')