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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 computationFri, 13 Nov 2009 04:24:52 -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/13/t1258111594gtzvae9gldpmujd.htm/, Retrieved Sun, 05 May 2024 11:08:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56476, Retrieved Sun, 05 May 2024 11:08:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
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]
-    D    [Kendall tau Correlation Matrix] [w6 v3] [2009-11-13 11:24:52] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
8	11,1	25,6	7,5
8,1	10,9	23,7	7,4
7,7	10	22,0	7,1
7,5	9,2	21,3	6,8
7,6	9,2	20,7	6,9
7,8	9,5	20,4	7,2
7,8	9,6	20,3	7,4
7,8	9,5	20,4	7,3
7,5	9,1	19,8	6,9
7,5	8,9	19,5	6,9
7,1	9	23,1	6,8
7,5	10,1	23,5	7,1
7,5	10,3	23,5	7,2
7,6	10,2	22,9	7,1
7,7	9,6	21,9	7
7,7	9,2	21,5	6,9
7,9	9,3	20,5	7,1
8,1	9,4	20,2	7,3
8,2	9,4	19,4	7,5
8,2	9,2	19,2	7,5
8,2	9	18,8	7,5
7,9	9	18,8	7,3
7,3	9	22,6	7
6,9	9,8	23,3	6,7
6,6	10	23,0	6,5
6,7	9,8	21,4	6,5
6,9	9,3	19,9	6,5
7	9	18,8	6,6
7,1	9	18,6	6,8
7,2	9,1	18,4	6,9
7,1	9,1	18,6	6,9
6,9	9,1	19,9	6,8
7	9,2	19,2	6,8
6,8	8,8	18,4	6,5
6,4	8,3	21,1	6,1
6,7	8,4	20,5	6,1
6,6	8,1	19,1	5,9
6,4	7,7	18,1	5,7
6,3	7,9	17,0	5,9
6,2	7,9	17,1	5,9
6,5	8	17,4	6,1
6,8	7,9	16,8	6,3
6,8	7,6	15,3	6,2
6,4	7,1	14,3	5,9
6,1	6,8	13,4	5,7
5,8	6,5	15,3	5,4
6,1	6,9	22,1	5,6
7,2	8,2	23,7	6,2
7,3	8,7	22,2	6,3
6,9	8,3	19,5	6
6,1	7,9	16,6	5,6
5,8	7,5	17,3	5,5
6,2	7,8	19,8	5,9
7,1	8,3	21,2	6,5
7,7	8,4	21,5	6,8
7,9	8,2	20,6	6,8
7,7	7,7	19,1	6,5
7,4	7,2	19,6	6,2
7,5	7,3	23,5	6,2
8	8,1	24,0	6,5
8,1	8,5	23,2	6,7




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=56476&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=56476&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56476&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( werkl.m , werkl.v )0.411520401865775.32364026994969e-06
tau( werkl.m , werkl<25 )0.3189110760021010.000377932362085165
tau( werkl.m , werkl>25 )0.7302147048464471.33226762955019e-15
tau( werkl.v , werkl<25 )0.4148271520630573.40722239644542e-06
tau( werkl.v , werkl>25 )0.647554789206091.16395781901701e-12
tau( werkl<25 , werkl>25 )0.2698204461747940.00282934999429396

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( werkl.m , werkl.v ) & 0.41152040186577 & 5.32364026994969e-06 \tabularnewline
tau( werkl.m , werkl<25 ) & 0.318911076002101 & 0.000377932362085165 \tabularnewline
tau( werkl.m , werkl>25 ) & 0.730214704846447 & 1.33226762955019e-15 \tabularnewline
tau( werkl.v , werkl<25 ) & 0.414827152063057 & 3.40722239644542e-06 \tabularnewline
tau( werkl.v , werkl>25 ) & 0.64755478920609 & 1.16395781901701e-12 \tabularnewline
tau( werkl<25 , werkl>25 ) & 0.269820446174794 & 0.00282934999429396 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56476&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( werkl.m , werkl.v )[/C][C]0.41152040186577[/C][C]5.32364026994969e-06[/C][/ROW]
[ROW][C]tau( werkl.m , werkl<25 )[/C][C]0.318911076002101[/C][C]0.000377932362085165[/C][/ROW]
[ROW][C]tau( werkl.m , werkl>25 )[/C][C]0.730214704846447[/C][C]1.33226762955019e-15[/C][/ROW]
[ROW][C]tau( werkl.v , werkl<25 )[/C][C]0.414827152063057[/C][C]3.40722239644542e-06[/C][/ROW]
[ROW][C]tau( werkl.v , werkl>25 )[/C][C]0.64755478920609[/C][C]1.16395781901701e-12[/C][/ROW]
[ROW][C]tau( werkl<25 , werkl>25 )[/C][C]0.269820446174794[/C][C]0.00282934999429396[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56476&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56476&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( werkl.m , werkl.v )0.411520401865775.32364026994969e-06
tau( werkl.m , werkl<25 )0.3189110760021010.000377932362085165
tau( werkl.m , werkl>25 )0.7302147048464471.33226762955019e-15
tau( werkl.v , werkl<25 )0.4148271520630573.40722239644542e-06
tau( werkl.v , werkl>25 )0.647554789206091.16395781901701e-12
tau( werkl<25 , werkl>25 )0.2698204461747940.00282934999429396



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')