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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

Sat, 19 Dec 2009 07:05:39 -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/Dec/19/t12612318454kuxr65o6e65qnt.htm/, Retrieved Fri, 03 May 2024 23:58:53 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69602, Retrieved Fri, 03 May 2024 23:58:53 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

116

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] [] [2009-12-19 14:05:39] [2b679e8ec54382eeb0ec0b6bb527570a] [Current]

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Dataseries X:

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Histogram

Boxplots

11.663	9.828	1.5	101.09
11.372	9.924	1.4	102.71
11.139	10.371	1.6	102.11
11.222	10.846	1.7	101.68
11.692	10.413	1.4	101.7
11.702	10.709	1.8	101.53
12.286	10.662	1.7	101.76
12.613	10.570	1.4	101.15
12.646	10.297	1.2	100.92
12.262	10.635	1	100.73
11.985	10.872	1.7	100.55
12.007	10.296	2.4	102.15
12.138	10.383	2	100.79
12.266	10.431	2.1	99.93
12.176	10.574	2	100.03
12.218	10.653	1.8	100.25
1.249	10.805	2.7	99.6
12.991	10.872	2.3	100.16
13.408	10.625	1.9	100.49
13.119	10.407	2	99.72
13.014	10.463	2.3	100.14
13.201	10.556	2.8	98.48
12.938	10.646	2.4	100.38
12.694	10.702	2.3	101.45
12.165	11.353	2.7	98.42
12.037	11.346	2.7	98.6
12.292	11.451	2.9	100.06
12.256	11.964	3	98.62
12.015	12.574	2.2	100.84
11.786	13.031	2.3	100.02
11.856	13.812	2.8	97.95
12.103	14.544	2.8	98.32
11.938	14.931	2.8	98.27
1.202	14.886	2.2	97.22
12.271	16.005	2.6	99.28
1.277	17.064	2.8	100.38
1.265	15.168	2.5	99.02
12.684	16.050	2.4	100.32
12.811	15.839	2.3	99.81
12.727	15.137	1.9	100.6
12.611	14.954	1.7	101.19
12.881	15.648	2	100.47
13.213	15.305	2.1	101.77
12.999	15.579	1.7	102.32
13.074	16.348	1.8	102.39
13.242	15.928	1.8	101.16
13.516	16.171	1.8	100.63
13.511	15.937	1.3	101.48
13.419	15.713	1.3	101.44
13.716	15.594	1.3	100.09
13.622	15.683	1.2	100.7
13.896	16.438	1.4	100.78
14.227	17.032	2.2	99.81
14.684	17.696	2.9	98.45
1.457	17.745	3.1	98.49
14.718	19.394	3.5	97.48
14.748	20.148	3.6	97.91
15.527	20.108	4.4	96.94
15.751	18.584	4.1	98.53
15.557	18.441	5.1	96.82
15.553	18.391	5.8	95.76

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69602&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]0 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=69602&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69602&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	0 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( Wisselkoers , Goudkoers )	0.387537593046396	1.02357690516808e-05
tau( Wisselkoers , Inflatie )	0.0501203404722676	0.574675527850386
tau( Wisselkoers , Ruilvoet )	-0.109349387585139	0.213267367287506
tau( Goudkoers , Inflatie )	0.293562657435494	0.00101593512843046
tau( Goudkoers , Ruilvoet )	-0.287120601382637	0.00108609263801937
tau( Inflatie , Ruilvoet )	-0.590629068584607	3.85128737319646e-11

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Wisselkoers , Goudkoers ) & 0.387537593046396 & 1.02357690516808e-05 \tabularnewline
tau( Wisselkoers , Inflatie ) & 0.0501203404722676 & 0.574675527850386 \tabularnewline
tau( Wisselkoers , Ruilvoet ) & -0.109349387585139 & 0.213267367287506 \tabularnewline
tau( Goudkoers , Inflatie ) & 0.293562657435494 & 0.00101593512843046 \tabularnewline
tau( Goudkoers , Ruilvoet ) & -0.287120601382637 & 0.00108609263801937 \tabularnewline
tau( Inflatie , Ruilvoet ) & -0.590629068584607 & 3.85128737319646e-11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69602&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( Wisselkoers , Goudkoers )[/C][C]0.387537593046396[/C][C]1.02357690516808e-05[/C][/ROW]
[ROW][C]tau( Wisselkoers , Inflatie )[/C][C]0.0501203404722676[/C][C]0.574675527850386[/C][/ROW]
[ROW][C]tau( Wisselkoers , Ruilvoet )[/C][C]-0.109349387585139[/C][C]0.213267367287506[/C][/ROW]
[ROW][C]tau( Goudkoers , Inflatie )[/C][C]0.293562657435494[/C][C]0.00101593512843046[/C][/ROW]
[ROW][C]tau( Goudkoers , Ruilvoet )[/C][C]-0.287120601382637[/C][C]0.00108609263801937[/C][/ROW]
[ROW][C]tau( Inflatie , Ruilvoet )[/C][C]-0.590629068584607[/C][C]3.85128737319646e-11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69602&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69602&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( Wisselkoers , Goudkoers )	0.387537593046396	1.02357690516808e-05
tau( Wisselkoers , Inflatie )	0.0501203404722676	0.574675527850386
tau( Wisselkoers , Ruilvoet )	-0.109349387585139	0.213267367287506
tau( Goudkoers , Inflatie )	0.293562657435494	0.00101593512843046
tau( Goudkoers , Ruilvoet )	-0.287120601382637	0.00108609263801937
tau( Inflatie , Ruilvoet )	-0.590629068584607	3.85128737319646e-11

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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