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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 13 Nov 2009 10:54:59 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/13/t1258134980aq182njy48us9bv.htm/, Retrieved Sun, 05 May 2024 17:33:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56948, Retrieved Sun, 05 May 2024 17:33:29 +0000

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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] [Gezondheid] [2009-11-13 17:54:59] [5c2088b06970f9a7d6fea063ee8d5871] [Current]

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Dataseries X:

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Histogram

Boxplots

1.6	2.1 	1	4.1
2.0	0.6	0.4	1.4
1.8	0.9	0.1	1.4
1.8	1.0	0.4	1.8
2.2	1.2	-0.5	1.3
2.3	1.5	1.6	1.9
2.6	1.8	2.6	2.7
2.3	2.3	3.8	3.5
2.5	2.7	5.5	3.6
2.2	3.1	6.3	4.8
2.7	3.7	6.1	5.3
2.9	4.5	4.2	5.5
3.1	5.8	3.6	5.9
3.0	7.0	5	6.8
2.9	7.9	5.5	7.1
2.8	8.5	5.9	6.9
2.8	8.7	6.4	7.2
2.5	8.7	5.5	7.1
2.2	8.5	6.7	6.6
2.6	8.3	3.6	5.7
2.5	8.3	4.3	5.9
2.5	8.7	3.2	5.1
2.4	8.5	3.4	4.8
2.1	7.6	4.7	4.6
2.0	6.5	3.5	4.2
1.7	5.6	4.1	3.8
1.9	4.5	2.5	3.3
1.8	4.2	3.7	3.2
1.7	4.1	5.6	3.4
1.9	4.0	5.2	3.3
2.0	4.1	3.7	3.3
2.0	4.3	7.6	3.9
1.7	4.0	5.7	3.9
1.6	3.5	6.3	4.1
1.6	3.2	7.9	4
1.5	3.2	6.8	3.9
1.6	3.2	8	3.9
1.9	3.0	7.6	3.9
1.8	3.0	8.7	3.8
1.9	2.4	5.3	3.7
1.7	2.3	5	3.6
1.6	1.7	3.6	3.7
1.7	1.5	3.7	3.9
1.3	1.1	3.1	3.7
1.6	1,3	1.7	3.3
1.1	1.0	5	4
1.7	1.5	4.7	4
1.6	1.9	3.8	4.3
1.5	1.8	3.5	4
1.3	1.9	3	3.7
1.4	1.7	2.5	4.3
1.1	1.8	4.8	4.4
1.5	1.6	3.4	4.4
1.3	2.2	3.7	4.3
1.1	2.2	4.6	4.1
1.5	2.3	3.9	4.1
1.2	2.3	5.9	4.5
1.4	2.2	3.5	4
1.1	0.1	1.5	3.8
1.2	2.1	3.9	3.7

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=56948&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=56948&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56948&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( pvdg , nbl )	0.44410421788776	1.14642764792450e-06
tau( pvdg , ncg )	0.0676675590384856	0.457847151317491
tau( pvdg , cbl )	0.139538662568420	0.128860527294254
tau( nbl , ncg )	0.349425806717300	0.000102992598586482
tau( nbl , cbl )	0.419385473328722	3.77196565493065e-06
tau( ncg , cbl )	0.275055232598003	0.00238810400265321

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( pvdg , nbl ) & 0.44410421788776 & 1.14642764792450e-06 \tabularnewline
tau( pvdg , ncg ) & 0.0676675590384856 & 0.457847151317491 \tabularnewline
tau( pvdg , cbl ) & 0.139538662568420 & 0.128860527294254 \tabularnewline
tau( nbl , ncg ) & 0.349425806717300 & 0.000102992598586482 \tabularnewline
tau( nbl , cbl ) & 0.419385473328722 & 3.77196565493065e-06 \tabularnewline
tau( ncg , cbl ) & 0.275055232598003 & 0.00238810400265321 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56948&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( pvdg , nbl )[/C][C]0.44410421788776[/C][C]1.14642764792450e-06[/C][/ROW]
[ROW][C]tau( pvdg , ncg )[/C][C]0.0676675590384856[/C][C]0.457847151317491[/C][/ROW]
[ROW][C]tau( pvdg , cbl )[/C][C]0.139538662568420[/C][C]0.128860527294254[/C][/ROW]
[ROW][C]tau( nbl , ncg )[/C][C]0.349425806717300[/C][C]0.000102992598586482[/C][/ROW]
[ROW][C]tau( nbl , cbl )[/C][C]0.419385473328722[/C][C]3.77196565493065e-06[/C][/ROW]
[ROW][C]tau( ncg , cbl )[/C][C]0.275055232598003[/C][C]0.00238810400265321[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56948&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56948&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
pair	tau	p-value
tau( pvdg , nbl )	0.44410421788776	1.14642764792450e-06
tau( pvdg , ncg )	0.0676675590384856	0.457847151317491
tau( pvdg , cbl )	0.139538662568420	0.128860527294254
tau( nbl , ncg )	0.349425806717300	0.000102992598586482
tau( nbl , cbl )	0.419385473328722	3.77196565493065e-06
tau( ncg , cbl )	0.275055232598003	0.00238810400265321

Figure 1

PNG link

Postscript link

PDF link

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')

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