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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 computationTue, 10 Nov 2009 11:22:52 -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/10/t1257877434rm7fseg9oekpl13.htm/, Retrieved Mon, 06 May 2024 01:11:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55331, Retrieved Mon, 06 May 2024 01:11:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [Kendall tau Corre...] [2009-11-10 18:22:52] [508aab72d879399b4187e5fcd8f7c773] [Current]
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Dataseries X:
8,2	9,9	8,9	1,4
8	9,8	8,8	1,2
7,5	9,3	8,3	1
6,8	8,3	7,5	1,7
6,5	8	7,2	2,4
6,6	8,5	7,4	2
7,6	10,4	8,8	2,1
8	11,1	9,3	2
8,1	10,9	9,3	1,8
7,7	10	8,7	2,7
7,5	9,2	8,2	2,3
7,6	9,2	8,3	1,9
7,8	9,5	8,5	2
7,8	9,6	8,6	2,3
7,8	9,5	8,5	2,8
7,5	9,1	8,2	2,4
7,5	8,9	8,1	2,3
7,1	9	7,9	2,7
7,5	10,1	8,6	2,7
7,5	10,3	8,7	2,9
7,6	10,2	8,7	3
7,7	9,6	8,5	2,2
7,7	9,2	8,4	2,3
7,9	9,3	8,5	2,8
8,1	9,4	8,7	2,8
8,2	9,4	8,7	2,8
8,2	9,2	8,6	2,2
8,2	9	8,5	2,6
7,9	9	8,3	2,8
7,3	9	8	2,5
6,9	9,8	8,2	2,4
6,6	10	8,1	2,3
6,7	9,8	8,1	1,9
6,9	9,3	8	1,7
7	9	7,9	2
7,1	9	7,9	2,1
7,2	9,1	8	1,7
7,1	9,1	8	1,8
6,9	9,1	7,9	1,8
7	9,2	8	1,8
6,8	8,8	7,7	1,3
6,4	8,3	7,2	1,3
6,7	8,4	7,5	1,3
6,6	8,1	7,3	1,2
6,4	7,7	7	1,4
6,3	7,9	7	2,2
6,2	7,9	7	2,9
6,5	8	7,2	3,1
6,8	7,9	7,3	3,5
6,8	7,6	7,1	3,6
6,4	7,1	6,8	4,4
6,1	6,8	6,4	4,1
5,8	6,5	6,1	5,1
6,1	6,9	6,5	5,8
7,2	8,2	7,7	5,9
7,3	8,7	7,9	5,4
6,9	8,3	7,5	5,5
6,1	7,9	6,9	4,8
5,8	7,5	6,6	3,2
6,2	7,8	6,9	2,7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55331&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55331&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55331&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( man , vrouw )0.5897852703530161.02222230680127e-10
tau( man , totaal )0.797654096138520
tau( man , inflatie )-0.1034788731516010.257320535779765
tau( vrouw , totaal )0.823846648144140
tau( vrouw , inflatie )-0.2172395183724730.0170078602540075
tau( totaal , inflatie )-0.1444874398202580.113886907569746

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( man , vrouw ) & 0.589785270353016 & 1.02222230680127e-10 \tabularnewline
tau( man , totaal ) & 0.79765409613852 & 0 \tabularnewline
tau( man , inflatie ) & -0.103478873151601 & 0.257320535779765 \tabularnewline
tau( vrouw , totaal ) & 0.82384664814414 & 0 \tabularnewline
tau( vrouw , inflatie ) & -0.217239518372473 & 0.0170078602540075 \tabularnewline
tau( totaal , inflatie ) & -0.144487439820258 & 0.113886907569746 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55331&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( man , vrouw )[/C][C]0.589785270353016[/C][C]1.02222230680127e-10[/C][/ROW]
[ROW][C]tau( man , totaal )[/C][C]0.79765409613852[/C][C]0[/C][/ROW]
[ROW][C]tau( man , inflatie )[/C][C]-0.103478873151601[/C][C]0.257320535779765[/C][/ROW]
[ROW][C]tau( vrouw , totaal )[/C][C]0.82384664814414[/C][C]0[/C][/ROW]
[ROW][C]tau( vrouw , inflatie )[/C][C]-0.217239518372473[/C][C]0.0170078602540075[/C][/ROW]
[ROW][C]tau( totaal , inflatie )[/C][C]-0.144487439820258[/C][C]0.113886907569746[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55331&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55331&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( man , vrouw )0.5897852703530161.02222230680127e-10
tau( man , totaal )0.797654096138520
tau( man , inflatie )-0.1034788731516010.257320535779765
tau( vrouw , totaal )0.823846648144140
tau( vrouw , inflatie )-0.2172395183724730.0170078602540075
tau( totaal , inflatie )-0.1444874398202580.113886907569746



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')