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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 17 Dec 2007 01:33:51 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/17/t1197880130v9drkxej8or5to4.htm/, Retrieved Fri, 03 May 2024 18:33:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4285, Retrieved Fri, 03 May 2024 18:33:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgroep MENS
Estimated Impact231
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [Q3] [2007-11-27 10:36:35] [c75cd9094b4f5cfeb17aaffbe43e25d5]
-   PD    [Kendall tau Correlation Matrix] [Paper_voeding&ene...] [2007-12-17 08:33:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.6	0
1.5	0
0.2	0.1
0.5	-0.1
-1.1	0
1	-0.2
-0.4	0.2
1.8	-0.1
-0.3	-0.7
0	-0.5
-0.1	0
3.2	0.2
-0.2	0.3
-0.3	0.6
-0.1	0.7
-0.1	-0.4
0	0.4
0	-2.1
0	0.2
0	0.4
0	0.1
0	-0.2
0	-0.4
0	-1.6
0	-0.1
0	0.2
0	0
0	-0.1
0	0.2
0	0.1
0	0.7
0	1
0	0.3
0	0.3
0.2	-0.2
4.1	0.6
-1	0.1
0	0.3
4	0.2
2	0.2
1.1	0.2
0	-0.1
0	0.1
0.7	0.1
1.6	-0.7
2	-0.2
0	-0.3
4.8	0.1
-1.4	0
-4.5	0.3
-2.8	-0.5
2.9	0.7
0.7	0.5
0.4	0.4
-2	0.1
-0.6	-0.1
0	-0.4
0	0
0	0
8.4	0.2
1.4	0
0	0.2
-1.2	0.5
0	1.1
5.1	0.3
-3.7	0.1
-4.1	1.2
3.4	0.5
0	-0.1
1.2	0
0	0.5
0	0.6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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=4285&T=0

[TABLE]
[ROW][C]Summary of compuational 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=4285&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4285&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Energie , Voeding )0.01891097003153390.830401282019238

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Energie , Voeding ) & 0.0189109700315339 & 0.830401282019238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4285&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( Energie , Voeding )[/C][C]0.0189109700315339[/C][C]0.830401282019238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4285&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4285&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
pairtaup-value
tau( Energie , Voeding )0.01891097003153390.830401282019238



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')