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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, 12 Nov 2009 07:55:14 -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/t1258037789gq2ttr8kf30zyd9.htm/, Retrieved Fri, 03 May 2024 18:37:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56083, Retrieved Fri, 03 May 2024 18:37:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS 6 part 4
Estimated Impact173
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
- R  D  [Kendall tau Correlation Matrix] [WorkShop6 (SHW)] [2009-11-09 23:57:54] [74be16979710d4c4e7c6647856088456]
-    D      [Kendall tau Correlation Matrix] [Workshop 6] [2009-11-12 14:55:14] [e2f800c9186517d2e5c4a809848912a7] [Current]
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Dataseries X:
9.3	8	11,1	7,5
9.3	8.1	10,9	7,4
8.7	7.7	10,0	7,1
8.2	7.5	9,2	6,8
8.3	7.6	9,2	6,9
8.5	7.8	9,5	7,2
8.6	7.8	9,6	7,4
8.5	7.8	9,5	7,3
8.2	7.5	9,1	6,9
8.1	7.5	8,9	6,9
7.9	7.1	9,0	6,8
8.6	7.5	10,1	7,1
8.7	7.5	10,3	7,2
8.7	7.6	10,2	7,1
8.5	7.7	9,6	7,0
8.4	7.7	9,2	6,9
8.5	7.9	9,3	7,1
8.7	8.1	9,4	7,3
8.7	8.2	9,4	7,5
8.6	8.2	9,2	7,5
8.5	8.2	9,0	7,5
8.3	7.9	9,0	7,3
8	7.3	9,0	7,0
8.2	6.9	9,8	6,7
8.1	6.6	10,0	6,5
8.1	6.7	9,8	6,5
8	6.9	9,3	6,5
7.9	7	9,0	6,6
7.9	7.1	9,0	6,8
8	7.2	9,1	6,9
8	7.1	9,1	6,9
7.9	6.9	9,1	6,8
8	7	9,2	6,8
7.7	6.8	8,8	6,5
7.2	6.4	8,3	6,1
7.5	6.7	8,4	6,1
7.3	6.6	8,1	5,9
7	6.4	7,7	5,7
7	6.3	7,9	5,9
7	6.2	7,9	5,9
7.2	6.5	8,0	6,1
7.3	6.8	7,9	6,3
7.1	6.8	7,6	6,2
6.8	6.4	7,1	5,9
6.4	6.1	6,8	5,7
6.1	5.8	6,5	5,4
6.5	6.1	6,9	5,6
7.7	7.2	8,2	6,2
7.9	7.3	8,7	6,3
7.5	6.9	8,3	6,0
6.9	6.1	7,9	5,6
6.6	5.8	7,5	5,5
6.9	6.2	7,8	5,9
7.7	7.1	8,3	6,5
8	7.7	8,4	6,8
8	7.9	8,2	6,8
7.7	7.7	7,7	6,5
7.3	7.4	7,2	6,2
7.4	7.5	7,3	6,2
8.1	8	8,1	6,5
8.3	8.1	8,5	6,7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56083&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]0 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=56083&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56083&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( W.Tot. , W.Man )0.692686469742892.95319324550292e-14
tau( W.Tot. , W.Vrouw )0.7568338541830230
tau( W.Tot. , W.oud25j )0.8161005797848350
tau( W.Man , W.Vrouw )0.411520401865775.32364026994969e-06
tau( W.Man , W.oud25j )0.7302147048464471.33226762955019e-15
tau( W.Vrouw , W.oud25j )0.647554789206091.16395781901701e-12

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( W.Tot. , W.Man ) & 0.69268646974289 & 2.95319324550292e-14 \tabularnewline
tau( W.Tot. , W.Vrouw ) & 0.756833854183023 & 0 \tabularnewline
tau( W.Tot. , W.oud25j ) & 0.816100579784835 & 0 \tabularnewline
tau( W.Man , W.Vrouw ) & 0.41152040186577 & 5.32364026994969e-06 \tabularnewline
tau( W.Man , W.oud25j ) & 0.730214704846447 & 1.33226762955019e-15 \tabularnewline
tau( W.Vrouw , W.oud25j ) & 0.64755478920609 & 1.16395781901701e-12 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56083&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( W.Tot. , W.Man )[/C][C]0.69268646974289[/C][C]2.95319324550292e-14[/C][/ROW]
[ROW][C]tau( W.Tot. , W.Vrouw )[/C][C]0.756833854183023[/C][C]0[/C][/ROW]
[ROW][C]tau( W.Tot. , W.oud25j )[/C][C]0.816100579784835[/C][C]0[/C][/ROW]
[ROW][C]tau( W.Man , W.Vrouw )[/C][C]0.41152040186577[/C][C]5.32364026994969e-06[/C][/ROW]
[ROW][C]tau( W.Man , W.oud25j )[/C][C]0.730214704846447[/C][C]1.33226762955019e-15[/C][/ROW]
[ROW][C]tau( W.Vrouw , W.oud25j )[/C][C]0.64755478920609[/C][C]1.16395781901701e-12[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56083&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56083&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( W.Tot. , W.Man )0.692686469742892.95319324550292e-14
tau( W.Tot. , W.Vrouw )0.7568338541830230
tau( W.Tot. , W.oud25j )0.8161005797848350
tau( W.Man , W.Vrouw )0.411520401865775.32364026994969e-06
tau( W.Man , W.oud25j )0.7302147048464471.33226762955019e-15
tau( W.Vrouw , W.oud25j )0.647554789206091.16395781901701e-12



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')