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*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

Tue, 03 Nov 2009 15:10:55 -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/03/t1257286343zr0b9ei3i74c3cb.htm/, Retrieved Wed, 01 May 2024 16:22:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53459, Retrieved Wed, 01 May 2024 16:22:25 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

186

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

-     [Back to Back Histogram] [3/11/2009] [2009-11-02 21:58:53] [b98453cac15ba1066b407e146608df68]
- RM D    [Kendall tau Correlation Matrix] [Workshop 5.4] [2009-11-03 22:10:55] [852eae237d08746109043531619a60c9] [Current]

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Dataseries X:

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Boxplots

123,1	7,8	4,25
136,6	8	4,25
112,1	8,1	4,25
95,1	8,2	3,85
96,3	8,3	3,75
105,7	8,2	3,75
115,8	8	3,55
105,7	7,9	3,5
105,7	7,6	3,5
111,1	7,6	3,1
82,4	8,3	3
60	8,4	3
107,3	8,4	3
99,3	8,4	3
113,5	8,4	3
108,9	8,6	3
100,2	8,9	3
103,9	8,8	3
138,9	8,3	3
120,2	7,5	3
100,2	7,2	3
143,2	7,4	3
70,9	8,8	3
85,2	9,3	3
133	9,3	3
136,6	8,7	3
117,9	8,2	3
106,3	8,3	3
122,3	8,5	3
125,5	8,6	3
148,4	8,5	3
126,3	8,2	3
99,6	8,1	3
140,4	7,9	3
80,3	8,6	3
92,6	8,7	3
138,5	8,7	3
110,9	8,5	3
119,6	8,4	3
105	8,5	3,21
109	8,7	3,25
129,4	8,7	3,25
148,6	8,6	3,45
101,4	8,5	3,5
134,8	8,3	3,5
143,7	8	3,64
81,6	8,2	3,75
90,3	8,1	3,93
141,5	8,1	4
140,7	8	4,17
140,2	7,9	4,25
100,2	7,9	4,39
125,7	8	4,5
119,6	8	4,5
134,7	7,9	4,65
109	8	4,2
116,3	7,7	4,75
146,9	7,2	4,9
97,4	7,5	5
89,4	7,3	5
132,1	7	5
139,8	7	5
129	7	5
112,5	7,2	5
121,9	7,3	5
121,7	7,1	5
123,1	6,8	5
131,6	6,4	5
119,3	6,1	5
132,5	6,5	5
98,3	7,7	5,18
85,1	7,9	5,25
131,7	7,5	5,25
129,3	6,9	4,49
90,7	6,6	3,92
78,6	6,9	3,25
68,9	7,7	3
79,1	8	3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53459&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53459&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53459&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	2 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( Productie_Personenwagens , Bruto_werkloosheid )	-0.0977365284767313	0.214656567003095
tau( Productie_Personenwagens , Marginale_Beleningsfaciliteit )	0.126244513980350	0.126185423374088
tau( Bruto_werkloosheid , Marginale_Beleningsfaciliteit )	-0.552324354304389	4.83083172430788e-11

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Productie_Personenwagens , Bruto_werkloosheid ) & -0.0977365284767313 & 0.214656567003095 \tabularnewline
tau( Productie_Personenwagens , Marginale_Beleningsfaciliteit ) & 0.126244513980350 & 0.126185423374088 \tabularnewline
tau( Bruto_werkloosheid , Marginale_Beleningsfaciliteit ) & -0.552324354304389 & 4.83083172430788e-11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53459&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( Productie_Personenwagens , Bruto_werkloosheid )[/C][C]-0.0977365284767313[/C][C]0.214656567003095[/C][/ROW]
[ROW][C]tau( Productie_Personenwagens , Marginale_Beleningsfaciliteit )[/C][C]0.126244513980350[/C][C]0.126185423374088[/C][/ROW]
[ROW][C]tau( Bruto_werkloosheid , Marginale_Beleningsfaciliteit )[/C][C]-0.552324354304389[/C][C]4.83083172430788e-11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53459&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53459&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( Productie_Personenwagens , Bruto_werkloosheid )	-0.0977365284767313	0.214656567003095
tau( Productie_Personenwagens , Marginale_Beleningsfaciliteit )	0.126244513980350	0.126185423374088
tau( Bruto_werkloosheid , Marginale_Beleningsfaciliteit )	-0.552324354304389	4.83083172430788e-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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Input Parameters & R Code