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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 12:21:51 -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/t1258140188qkfy4y3rbwr02rc.htm/, Retrieved Sun, 05 May 2024 11:24:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57033, Retrieved Sun, 05 May 2024 11:24:50 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

122

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...] [2009-11-13 19:21:51] [d45d8d97b86162be82506c3c0ea6e4a6] [Current]

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Dataseries X:

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Histogram

Boxplots

1.4	1.9	2	1.6
1	1.6	2.1	1.7
-0.8	0	2	1.6
-2.9	-1.3	1.8	1.4
-0.7	-0.4	2.7	2.1
-0.7	-0.3	2.3	1.9
1.5	1.4	1.9	1.7
3	2.6	2	1.8
3.2	2.8	2.3	2
3.1	2.6	2.8	2.5
3.9	3.4	2.4	2.1
1	1.7	2.3	2.1
1.3	1.2	2.7	2.3
0.8	0	2.7	2.4
1.2	0	2.9	2.4
2.9	1.6	3	2.3
3.9	2.5	2.2	1.7
4.5	3.2	2.3	2
4.5	3.4	2.8	2.3
3.3	2.3	2.8	2
2	1.9	2.8	2
1.5	1.7	2.2	1.3
1	1.9	2.6	1.7
2.1	3.3	2.8	1.9
3	3.8	2.5	1.7
4	4.4	2.4	1.6
5.1	4.5	2.3	1.7
4.5	3.5	1.9	1.8
4.2	3	1.7	1.9
3.3	2.8	2	1.9
2.7	2.9	2.1	1.9
1.8	2.6	1.7	2
1.4	2.1	1.8	2.1
0.5	1.5	1.8	1.9
-0.4	1.1	1.8	1.9
0.8	1.5	1.3	1.3
0.7	1.7	1.3	1.3
1.9	2.3	1.3	1.4
2	2.3	1.2	1.2
1.1	1.9	1.4	1.3
0.9	2	2.2	1.8
0.4	1.6	2.9	2.2
0.7	1.2	3.1	2.6
2.1	1.9	3.5	2.8
2.8	2.1	3.6	3.1
3.9	2.4	4.4	3.9
3.5	2.9	4.1	3.7
2	2.5	5.1	4.6
2	2.3	5.8	5.1
1.5	2.5	5.9	5.2
2.5	2.6	5.4	4.9
3.1	2.4	5.5	5.1
2.7	2.5	4.8	4.8
2.8	2.1	3.2	3.9
2.5	2.2	2.7	3.5
3	2.7	2.1	3.3
3.2	3	1.9	2.8
2.8	3.2	0.6	1.6
2.4	3	0.7	1.5
2	2.7	-0.2	0.7
1.8	2.5	-1	-0.1
1.1	1.6	-1.7	-0.7
-1.5	0.1	-0.7	-0.2
-3.7	-1.9	-1	-0.6

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=57033&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=57033&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57033&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( bbp , dnst )	0.687348323533731	4.21884749357559e-15
tau( bbp , hicp )	0.166583074036135	0.0568593736443945
tau( bbp , gzhdsi )	0.196076247380711	0.0256557860170603
tau( dnst , hicp )	0.0642857477539382	0.464202058353251
tau( dnst , gzhdsi )	0.0866897185956081	0.325829342663887
tau( hicp , gzhdsi )	0.707158583452737	1.11022302462516e-15

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( bbp , dnst ) & 0.687348323533731 & 4.21884749357559e-15 \tabularnewline
tau( bbp , hicp ) & 0.166583074036135 & 0.0568593736443945 \tabularnewline
tau( bbp , gzhdsi ) & 0.196076247380711 & 0.0256557860170603 \tabularnewline
tau( dnst , hicp ) & 0.0642857477539382 & 0.464202058353251 \tabularnewline
tau( dnst , gzhdsi ) & 0.0866897185956081 & 0.325829342663887 \tabularnewline
tau( hicp , gzhdsi ) & 0.707158583452737 & 1.11022302462516e-15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57033&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( bbp , dnst )[/C][C]0.687348323533731[/C][C]4.21884749357559e-15[/C][/ROW]
[ROW][C]tau( bbp , hicp )[/C][C]0.166583074036135[/C][C]0.0568593736443945[/C][/ROW]
[ROW][C]tau( bbp , gzhdsi )[/C][C]0.196076247380711[/C][C]0.0256557860170603[/C][/ROW]
[ROW][C]tau( dnst , hicp )[/C][C]0.0642857477539382[/C][C]0.464202058353251[/C][/ROW]
[ROW][C]tau( dnst , gzhdsi )[/C][C]0.0866897185956081[/C][C]0.325829342663887[/C][/ROW]
[ROW][C]tau( hicp , gzhdsi )[/C][C]0.707158583452737[/C][C]1.11022302462516e-15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57033&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57033&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( bbp , dnst )	0.687348323533731	4.21884749357559e-15
tau( bbp , hicp )	0.166583074036135	0.0568593736443945
tau( bbp , gzhdsi )	0.196076247380711	0.0256557860170603
tau( dnst , hicp )	0.0642857477539382	0.464202058353251
tau( dnst , gzhdsi )	0.0866897185956081	0.325829342663887
tau( hicp , gzhdsi )	0.707158583452737	1.11022302462516e-15

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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Input Parameters & R Code