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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 computationFri, 26 Oct 2007 07:17:56 -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/Oct/26/icyez5dxmfbkncx1193407963.htm/, Retrieved Sun, 28 Apr 2024 22:58:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1860, Retrieved Sun, 28 Apr 2024 22:58:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsworkshop 5 Q1,
Estimated Impact223

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] [Q1 WORKSHOP 5] [2007-10-26 14:17:56] [188769849def0e10208c9145aa17361f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4,2 4,8 20,8 0,9 39,6
2,6 -4,2 17,1 0,85 36,1
3 1,6 22,3 0,83 34,4
3,8 5,2 25,1 0,84 33,4
4 9,2 27,7 0,85 34,8

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1860&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1860&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1860&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( RNVM , RNR )0.60.233333333333333
tau( RNVM , RCF )0.40.483333333333333
tau( RNVM , RLEZ )0.527046276694730.206507295485425
tau( RNVM , REV )0.20.816666666666667
tau( RNR , RCF )0.80.0833333333333333
tau( RNR , RLEZ )0.1054092553389460.800542107423126
tau( RNR , REV )-0.20.816666666666667
tau( RCF , RLEZ )-0.1054092553389460.800542107423126
tau( RCF , REV )-0.40.483333333333333
tau( RLEZ , REV )0.7378647873726220.0769741729812667

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( RNVM , RNR ) & 0.6 & 0.233333333333333 \tabularnewline
tau( RNVM , RCF ) & 0.4 & 0.483333333333333 \tabularnewline
tau( RNVM , RLEZ ) & 0.52704627669473 & 0.206507295485425 \tabularnewline
tau( RNVM , REV ) & 0.2 & 0.816666666666667 \tabularnewline
tau( RNR , RCF ) & 0.8 & 0.0833333333333333 \tabularnewline
tau( RNR , RLEZ ) & 0.105409255338946 & 0.800542107423126 \tabularnewline
tau( RNR , REV ) & -0.2 & 0.816666666666667 \tabularnewline
tau( RCF , RLEZ ) & -0.105409255338946 & 0.800542107423126 \tabularnewline
tau( RCF , REV ) & -0.4 & 0.483333333333333 \tabularnewline
tau( RLEZ , REV ) & 0.737864787372622 & 0.0769741729812667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1860&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( RNVM , RNR )[/C][C]0.6[/C][C]0.233333333333333[/C][/ROW]
[ROW][C]tau( RNVM , RCF )[/C][C]0.4[/C][C]0.483333333333333[/C][/ROW]
[ROW][C]tau( RNVM , RLEZ )[/C][C]0.52704627669473[/C][C]0.206507295485425[/C][/ROW]
[ROW][C]tau( RNVM , REV )[/C][C]0.2[/C][C]0.816666666666667[/C][/ROW]
[ROW][C]tau( RNR , RCF )[/C][C]0.8[/C][C]0.0833333333333333[/C][/ROW]
[ROW][C]tau( RNR , RLEZ )[/C][C]0.105409255338946[/C][C]0.800542107423126[/C][/ROW]
[ROW][C]tau( RNR , REV )[/C][C]-0.2[/C][C]0.816666666666667[/C][/ROW]
[ROW][C]tau( RCF , RLEZ )[/C][C]-0.105409255338946[/C][C]0.800542107423126[/C][/ROW]
[ROW][C]tau( RCF , REV )[/C][C]-0.4[/C][C]0.483333333333333[/C][/ROW]
[ROW][C]tau( RLEZ , REV )[/C][C]0.737864787372622[/C][C]0.0769741729812667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1860&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1860&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( RNVM , RNR )0.60.233333333333333
tau( RNVM , RCF )0.40.483333333333333
tau( RNVM , RLEZ )0.527046276694730.206507295485425
tau( RNVM , REV )0.20.816666666666667
tau( RNR , RCF )0.80.0833333333333333
tau( RNR , RLEZ )0.1054092553389460.800542107423126
tau( RNR , REV )-0.20.816666666666667
tau( RCF , RLEZ )-0.1054092553389460.800542107423126
tau( RCF , REV )-0.40.483333333333333
tau( RLEZ , REV )0.7378647873726220.0769741729812667


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')