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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 13 Nov 2009 05:25:10 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/13/t1258115196q2p2stddg9m8s8t.htm/, Retrieved Sun, 05 May 2024 13:44:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56509, Retrieved Sun, 05 May 2024 13:44:25 +0000

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Original text written by user:

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No (this computation is public)

User-defined keywords

Estimated Impact

121

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] [2009-11-13 12:25:10] [dd6cbfa45d4c21a36e6e7552bcc0747b] [Current]

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Dataseries X:

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Histogram

Boxplots

-0.9		-1.6		0
-1		-1.9		7.9
-0.7		-1.6		7.9
-1.7		-2.5		7.8
-1		-0.4		7.8
-0.2		0.6		7.7
0.7		1.8		7.8
0.6		3.5		7.8
1.9		4.3		7.7
2.1		4.1		7.5
2.7		2.2		7.1
3.2		1.6		6.9
4.8		3		7.1
5.5		3.5		7.3
5.4		3.9		7.5
5.9		4.4		7.3
5.8		3.5		6.9
5.1		4.7		6.6
4.1		1.6		6.7
4.4		2.3		6.7
3.6		1.2		6.9
3.5		1.4		7.1
3.1		2.7		7.2
2.9		1.5		7.1
2.2		2.1		7
1.4		0.5		6.8
1.2		1.7		7
1.3		3.6		7.3
1.3		3.2		7.6
1.3		1.7		8
1.8		5.6		8.1
1.8		3.7		7.9
1.8		4.3		7.8
1.7		5.9		7.8
2.1		4.8		7.9
2		6		8
1.7		5.6		8
1.9		6.7		8
2.3		3.3		8
2.4		3		8.1
2.5		1.6		8.4
2.8		1.7		8.6
2.6		1.1		8.5
2.2		-0.3		8.5
2.8		3		8.5
2.8		2.7		8.5
2.8		1.8		8.5
2.3		1.5		8.5
2.2		1		8.5
3		0.5		8.5
2.9		2.8		8.4
2.7		1.4		8.5
2.7		1.7		8.5
2.3		2.6		8.6
2.4		1.9		8.4
2.8		3.9		8.5
2.3		1.5		8.4
2		-0.5		8.3
1.9		1.9		8.3
2.3		1		8.3

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
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56509&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]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56509&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56509&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
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( TotInfl , InflNBLM )	0.135984820081672	0.131563595410947
tau( TotInfl , WerklPercBeroepsbev )	0.0283584497903647	0.7580243440533
tau( InflNBLM , WerklPercBeroepsbev )	-0.0464988017772282	0.612296883804165

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( TotInfl , InflNBLM ) & 0.135984820081672 & 0.131563595410947 \tabularnewline
tau( TotInfl , WerklPercBeroepsbev ) & 0.0283584497903647 & 0.7580243440533 \tabularnewline
tau( InflNBLM , WerklPercBeroepsbev ) & -0.0464988017772282 & 0.612296883804165 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56509&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( TotInfl , InflNBLM )[/C][C]0.135984820081672[/C][C]0.131563595410947[/C][/ROW]
[ROW][C]tau( TotInfl , WerklPercBeroepsbev )[/C][C]0.0283584497903647[/C][C]0.7580243440533[/C][/ROW]
[ROW][C]tau( InflNBLM , WerklPercBeroepsbev )[/C][C]-0.0464988017772282[/C][C]0.612296883804165[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56509&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56509&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( TotInfl , InflNBLM )	0.135984820081672	0.131563595410947
tau( TotInfl , WerklPercBeroepsbev )	0.0283584497903647	0.7580243440533
tau( InflNBLM , WerklPercBeroepsbev )	-0.0464988017772282	0.612296883804165

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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