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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 29 Nov 2007 13:02:17 -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/Nov/29/t11963659501gu9scgw0mjx6rh.htm/, Retrieved Fri, 03 May 2024 11:19:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7591, Retrieved Fri, 03 May 2024 11:19:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendall tau corre...] [2007-11-29 20:02:17] [bebbf4ab6ac77d61a56e6916ab0650f9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0,02	0	-1,40	-4,2
0,01	0,09	-4,40	-5,9
-0,01	0,01	13,90	12,5
0,02	0	11,70	-2,5
0,02	0	5,40	9,6
0,32	0	-6,30	2,2
-0,06	0,01	2,30	-6,8
-0,13	0,01	3,90	2,4
-0,14	0	4,00	5,0
-0,1	0,01	5,30	-5,2
-0,03	0	-10,10	8,5
-0,02	0	-10,90	8,0
0	0,01	4,20	4,6
0	0,01	2,30	0,9
0	0	9,40	-14,5
0	0,01	-1,80	1,7
0,01	0	-14,60	-0,4
0,14	0	15,80	-6,9
0,07	0	0,80	-5,9
-0,02	0	4,80	-0,3
-0,04	0,01	0,40	-7,3
-0,02	0	-20,10	5,1
0,01	0	1,60	-3,9
0	0	13,00	-12,2
1,01	0	5,70	1,0
-0,02	0,01	-6,90	3,4
0,03	0	-14,00	9,9
0,02	0,01	20,10	-4,5
-0,02	0,01	12,60	4,7
0,01	0	-16,50	-3,3
0,01	0	6,90	12,3
0	0	-13,90	0,2
0,01	0,01	-22,60	-1,9
-0,01	0,01	0,80	13,4
0,01	0	9,00	-0,5
0	0,01	3,00	-2,7
0	0,01	-33,10	-1,6
-0,01	0,01	13,90	3,1
-0,01	0,01	5,70	-3,9
0	0	-6,30	9,6
0	0,01	-4,80	-8,9
0	0	10,90	4,8
0,01	0	-19,00	5,4

Tables (Output of Computation)





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=7591&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=7591&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7591&T=0

As an alternative you can also use a QR Code:  
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( aardappelen , brood )-0.2848999309493820.0315599886154927
tau( aardappelen , grondstoffen )0.004731134439802620.966093979735213
tau( aardappelen , productie )-0.08388427592598640.450587198796875
tau( brood , grondstoffen )0.05211366031819690.680231173446815
tau( brood , productie )-0.134732462237890.2861285875991
tau( grondstoffen , productie )-0.07897668957147660.457257749496165

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( aardappelen , brood ) & -0.284899930949382 & 0.0315599886154927 \tabularnewline
tau( aardappelen , grondstoffen ) & 0.00473113443980262 & 0.966093979735213 \tabularnewline
tau( aardappelen , productie ) & -0.0838842759259864 & 0.450587198796875 \tabularnewline
tau( brood , grondstoffen ) & 0.0521136603181969 & 0.680231173446815 \tabularnewline
tau( brood , productie ) & -0.13473246223789 & 0.2861285875991 \tabularnewline
tau( grondstoffen , productie ) & -0.0789766895714766 & 0.457257749496165 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7591&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( aardappelen , brood )[/C][C]-0.284899930949382[/C][C]0.0315599886154927[/C][/ROW]
[ROW][C]tau( aardappelen , grondstoffen )[/C][C]0.00473113443980262[/C][C]0.966093979735213[/C][/ROW]
[ROW][C]tau( aardappelen , productie )[/C][C]-0.0838842759259864[/C][C]0.450587198796875[/C][/ROW]
[ROW][C]tau( brood , grondstoffen )[/C][C]0.0521136603181969[/C][C]0.680231173446815[/C][/ROW]
[ROW][C]tau( brood , productie )[/C][C]-0.13473246223789[/C][C]0.2861285875991[/C][/ROW]
[ROW][C]tau( grondstoffen , productie )[/C][C]-0.0789766895714766[/C][C]0.457257749496165[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7591&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7591&T=1

As an alternative you can also use a QR Code:  
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( aardappelen , brood )-0.2848999309493820.0315599886154927
tau( aardappelen , grondstoffen )0.004731134439802620.966093979735213
tau( aardappelen , productie )-0.08388427592598640.450587198796875
tau( brood , grondstoffen )0.05211366031819690.680231173446815
tau( brood , productie )-0.134732462237890.2861285875991
tau( grondstoffen , productie )-0.07897668957147660.457257749496165


Figures (Output of Computation)

Input Parameters & R Code

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')