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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

Thu, 13 Nov 2008 09:35:49 -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/2008/Nov/13/t1226594234yo6o99w36dftza2.htm/, Retrieved Sun, 19 May 2024 10:41:47 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24692, Retrieved Sun, 19 May 2024 10:41:47 +0000

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No (this computation is public)

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Estimated Impact

178

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [Q1 partial correl...] [2008-11-13 16:35:49] [8e1dd6a8d7300d49f515697199ea9e73] [Current]

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Boxplots

-0,2			4,3			-8,6
1,0			4,2			-11,2
0,4			2,9			-12,7
1,0			4,9			-3,1
1,7			7,2			-1,0
3,1			8,7			0,3
3,3			9,1			-2,9
3,1			8,9			-2,3
3,5			9,0			3,2
6,0			11,6			5,9
5,7			9,6			13,2
4,7			9,1			7,2
4,2			9,2			6,9
3,6			10,8			8,2
4,4			11,0			11,8
2,5			8,5			9,3
-0,6			6,5			5,8
-1,9			7,2			8,8
-1,9			7,8			14,6
0,7			8,7			28,2
-0,9			7,8			19,8
-1,7			7,5			16,5
-3,1			7,7			-5,3
-2,1			7,5			-2,4
0,2			8,3			1,9
1,2			7,9			1,6
3,8			10,4			-0,1
4,0			11,5			-2,0
6,6			14,0			3,4
5,3			11,9			3,3
7,6			11,9			3,3
4,7			10,3			-9,8
6,6			11,3			-4,6
4,4			9,9			-6,1
4,6			8,9			10,6
6,0			9,2			8,9
4,8			8,8			10,7
4,0			6,7			11,7
2,7			7,1			13,5
3,0			6,6			14,6
4,1			7,2			14,1
4,0			5,0			11,1
2,7			5,3			9,2
2,6			6,3			13,0
3,1			8,0			14,4
4,4			7,6			16,5
3,0			7,0			11,7
2,0			6,9			11,8
1,3			6,8			10,4
1,5			7,5			12,2
1,3			6,4			14,7
3,2			8,0			15,0
1,8			6,4			10,3
3,3			9,5			12,0
1,0			7,6			13,3
2,4			9,1			15,8
0,4			8,2			10,5
-1,1			8,5			5,5

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=24692&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=24692&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24692&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( Cons , Inc )	0.4566882855976	5.46978927262742e-07
tau( Cons , Price )	-0.0481713048374944	0.595923188268399
tau( Inc , Price )	-0.0907713482611802	0.317285668792137

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Cons , Inc ) & 0.4566882855976 & 5.46978927262742e-07 \tabularnewline
tau( Cons , Price ) & -0.0481713048374944 & 0.595923188268399 \tabularnewline
tau( Inc , Price ) & -0.0907713482611802 & 0.317285668792137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24692&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( Cons , Inc )[/C][C]0.4566882855976[/C][C]5.46978927262742e-07[/C][/ROW]
[ROW][C]tau( Cons , Price )[/C][C]-0.0481713048374944[/C][C]0.595923188268399[/C][/ROW]
[ROW][C]tau( Inc , Price )[/C][C]-0.0907713482611802[/C][C]0.317285668792137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24692&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24692&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( Cons , Inc )	0.4566882855976	5.46978927262742e-07
tau( Cons , Price )	-0.0481713048374944	0.595923188268399
tau( Inc , Price )	-0.0907713482611802	0.317285668792137

Figure 1

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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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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code