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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, 06 Nov 2008 04:54:56 -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/2008/Nov/06/t1225972526x4f1znofa0whcox.htm/, Retrieved Sun, 19 May 2024 07:52:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22039, Retrieved Sun, 19 May 2024 07:52:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2008-11-06 11:54:56] [e7fa5259715477c9f32960f5b339b707] [Current]
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Dataseries X:
4.2	28.7	68.9	69.9	15.1
2.6	30.5	43.7	69	20.6
3	26.4	39.8	65	21.7
3.8	27.9	38.4	64.1	20.8
4	26.4	38.5	62.9	20.7
3.5	25.7	37.3	64.7	20.1
4.1	26.9	38.7	64.7	19.2




Summary of computational 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 computational 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=22039&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]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=22039&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22039&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( RNVM , RTWV )0.09759000729485330.76126364963642
tau( RNVM , RTWB )0.1428571428571430.772619047619048
tau( RNVM , RPK )-0.1951800145897070.54342386362567
tau( RNVM , RA )-0.5238095238095240.136111111111111
tau( RTWV , RTWB )0.4879500364742670.128735048957948
tau( RTWV , RPK )0.350.282259232692845
tau( RTWV , RA )-0.1951800145897070.54342386362567
tau( RTWB , RPK )0.6831300510639730.0334406386639978
tau( RTWB , RA )-0.2380952380952380.561904761904762
tau( RPK , RA )-0.292770021884560.362050192200358

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( RNVM , RTWV ) & 0.0975900072948533 & 0.76126364963642 \tabularnewline
tau( RNVM , RTWB ) & 0.142857142857143 & 0.772619047619048 \tabularnewline
tau( RNVM , RPK ) & -0.195180014589707 & 0.54342386362567 \tabularnewline
tau( RNVM , RA ) & -0.523809523809524 & 0.136111111111111 \tabularnewline
tau( RTWV , RTWB ) & 0.487950036474267 & 0.128735048957948 \tabularnewline
tau( RTWV , RPK ) & 0.35 & 0.282259232692845 \tabularnewline
tau( RTWV , RA ) & -0.195180014589707 & 0.54342386362567 \tabularnewline
tau( RTWB , RPK ) & 0.683130051063973 & 0.0334406386639978 \tabularnewline
tau( RTWB , RA ) & -0.238095238095238 & 0.561904761904762 \tabularnewline
tau( RPK , RA ) & -0.29277002188456 & 0.362050192200358 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22039&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 , RTWV )[/C][C]0.0975900072948533[/C][C]0.76126364963642[/C][/ROW]
[ROW][C]tau( RNVM , RTWB )[/C][C]0.142857142857143[/C][C]0.772619047619048[/C][/ROW]
[ROW][C]tau( RNVM , RPK )[/C][C]-0.195180014589707[/C][C]0.54342386362567[/C][/ROW]
[ROW][C]tau( RNVM , RA )[/C][C]-0.523809523809524[/C][C]0.136111111111111[/C][/ROW]
[ROW][C]tau( RTWV , RTWB )[/C][C]0.487950036474267[/C][C]0.128735048957948[/C][/ROW]
[ROW][C]tau( RTWV , RPK )[/C][C]0.35[/C][C]0.282259232692845[/C][/ROW]
[ROW][C]tau( RTWV , RA )[/C][C]-0.195180014589707[/C][C]0.54342386362567[/C][/ROW]
[ROW][C]tau( RTWB , RPK )[/C][C]0.683130051063973[/C][C]0.0334406386639978[/C][/ROW]
[ROW][C]tau( RTWB , RA )[/C][C]-0.238095238095238[/C][C]0.561904761904762[/C][/ROW]
[ROW][C]tau( RPK , RA )[/C][C]-0.29277002188456[/C][C]0.362050192200358[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22039&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22039&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 , RTWV )0.09759000729485330.76126364963642
tau( RNVM , RTWB )0.1428571428571430.772619047619048
tau( RNVM , RPK )-0.1951800145897070.54342386362567
tau( RNVM , RA )-0.5238095238095240.136111111111111
tau( RTWV , RTWB )0.4879500364742670.128735048957948
tau( RTWV , RPK )0.350.282259232692845
tau( RTWV , RA )-0.1951800145897070.54342386362567
tau( RTWB , RPK )0.6831300510639730.0334406386639978
tau( RTWB , RA )-0.2380952380952380.561904761904762
tau( RPK , RA )-0.292770021884560.362050192200358



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')