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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 30 Oct 2008 08:27:12 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/30/t122537688601ot27rcp62ofp5.htm/, Retrieved Thu, 23 May 2024 18:13:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20062, Retrieved Thu, 23 May 2024 18:13:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Hypothesis Testin...] [2008-10-30 14:27:12] [63db34dadd44fb018112addcdefe949f] [Current]
F         [Kendall tau Correlation Matrix] [] [2008-11-03 19:35:27] [d2d412c7f4d35ffbf5ee5ee89db327d4]
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Dataseries X:
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
3.5	4.6	24.9	0.83	33.7
4.1	10.6	29.5	0.83	36.3




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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20062&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20062&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20062&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







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( RNVM , RNR )10.0166666666666666
tau( RNVM , RCF )10.0166666666666666
tau( RNVM , RLEZ )0.3585685828003180.405380556458942
tau( RNVM , REV )0.40.483333333333333
tau( RNR , RCF )10.0166666666666666
tau( RNR , RLEZ )0.3585685828003180.405380556458942
tau( RNR , REV )0.40.483333333333333
tau( RCF , RLEZ )0.3585685828003180.405380556458942
tau( RCF , REV )0.40.483333333333333
tau( RLEZ , REV )-0.1195228609334390.781511294998713

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( RNVM , RNR ) & 1 & 0.0166666666666666 \tabularnewline
tau( RNVM , RCF ) & 1 & 0.0166666666666666 \tabularnewline
tau( RNVM , RLEZ ) & 0.358568582800318 & 0.405380556458942 \tabularnewline
tau( RNVM , REV ) & 0.4 & 0.483333333333333 \tabularnewline
tau( RNR , RCF ) & 1 & 0.0166666666666666 \tabularnewline
tau( RNR , RLEZ ) & 0.358568582800318 & 0.405380556458942 \tabularnewline
tau( RNR , REV ) & 0.4 & 0.483333333333333 \tabularnewline
tau( RCF , RLEZ ) & 0.358568582800318 & 0.405380556458942 \tabularnewline
tau( RCF , REV ) & 0.4 & 0.483333333333333 \tabularnewline
tau( RLEZ , REV ) & -0.119522860933439 & 0.781511294998713 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20062&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]1[/C][C]0.0166666666666666[/C][/ROW]
[ROW][C]tau( RNVM , RCF )[/C][C]1[/C][C]0.0166666666666666[/C][/ROW]
[ROW][C]tau( RNVM , RLEZ )[/C][C]0.358568582800318[/C][C]0.405380556458942[/C][/ROW]
[ROW][C]tau( RNVM , REV )[/C][C]0.4[/C][C]0.483333333333333[/C][/ROW]
[ROW][C]tau( RNR , RCF )[/C][C]1[/C][C]0.0166666666666666[/C][/ROW]
[ROW][C]tau( RNR , RLEZ )[/C][C]0.358568582800318[/C][C]0.405380556458942[/C][/ROW]
[ROW][C]tau( RNR , REV )[/C][C]0.4[/C][C]0.483333333333333[/C][/ROW]
[ROW][C]tau( RCF , RLEZ )[/C][C]0.358568582800318[/C][C]0.405380556458942[/C][/ROW]
[ROW][C]tau( RCF , REV )[/C][C]0.4[/C][C]0.483333333333333[/C][/ROW]
[ROW][C]tau( RLEZ , REV )[/C][C]-0.119522860933439[/C][C]0.781511294998713[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20062&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20062&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( RNVM , RNR )10.0166666666666666
tau( RNVM , RCF )10.0166666666666666
tau( RNVM , RLEZ )0.3585685828003180.405380556458942
tau( RNVM , REV )0.40.483333333333333
tau( RNR , RCF )10.0166666666666666
tau( RNR , RLEZ )0.3585685828003180.405380556458942
tau( RNR , REV )0.40.483333333333333
tau( RCF , RLEZ )0.3585685828003180.405380556458942
tau( RCF , REV )0.40.483333333333333
tau( RLEZ , REV )-0.1195228609334390.781511294998713



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')