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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 12 Nov 2009 12:33:11 -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/2009/Nov/12/t1258054421nzevi4sehtubedk.htm/, Retrieved Fri, 03 May 2024 22:08:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56384, Retrieved Fri, 03 May 2024 22:08:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2009-11-12 19:33:11] [d39d4e1021a28f94dc953cf77db656ab] [Current]
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Dataseries X:
6715	4090	508	705
6724	4173	474	702
6743	4231	470	696
6774	4226	491	689
6805	4230	538	689
6835	4270	577	692
6879	4331	596	695
6942	4384	588	699
7012	4456	532	706
7070	4538	505	717




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=56384&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=56384&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56384&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( BAL , NWG )0.9111111111111112.97619047620046e-05
tau( BAL , WLH )0.3333333333333330.216373456790123
tau( BAL , ZSD )0.2247332874877470.369171416332692
tau( NWG , WLH )0.2444444444444440.380719797178130
tau( NWG , ZSD )0.3146266024828460.208667787698264
tau( WLH , ZSD )-0.0898933149950990.719437544423391

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( BAL , NWG ) & 0.911111111111111 & 2.97619047620046e-05 \tabularnewline
tau( BAL , WLH ) & 0.333333333333333 & 0.216373456790123 \tabularnewline
tau( BAL , ZSD
 ) & 0.224733287487747 & 0.369171416332692 \tabularnewline
tau( NWG , WLH ) & 0.244444444444444 & 0.380719797178130 \tabularnewline
tau( NWG , ZSD
 ) & 0.314626602482846 & 0.208667787698264 \tabularnewline
tau( WLH , ZSD
 ) & -0.089893314995099 & 0.719437544423391 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56384&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( BAL , NWG )[/C][C]0.911111111111111[/C][C]2.97619047620046e-05[/C][/ROW]
[ROW][C]tau( BAL , WLH )[/C][C]0.333333333333333[/C][C]0.216373456790123[/C][/ROW]
[ROW][C]tau( BAL , ZSD
 )[/C][C]0.224733287487747[/C][C]0.369171416332692[/C][/ROW]
[ROW][C]tau( NWG , WLH )[/C][C]0.244444444444444[/C][C]0.380719797178130[/C][/ROW]
[ROW][C]tau( NWG , ZSD
 )[/C][C]0.314626602482846[/C][C]0.208667787698264[/C][/ROW]
[ROW][C]tau( WLH , ZSD
 )[/C][C]-0.089893314995099[/C][C]0.719437544423391[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56384&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56384&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( BAL , NWG )0.9111111111111112.97619047620046e-05
tau( BAL , WLH )0.3333333333333330.216373456790123
tau( BAL , ZSD )0.2247332874877470.369171416332692
tau( NWG , WLH )0.2444444444444440.380719797178130
tau( NWG , ZSD )0.3146266024828460.208667787698264
tau( WLH , ZSD )-0.0898933149950990.719437544423391



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')