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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 computationMon, 09 Nov 2009 11:51:51 -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/09/t1257792846znk9nc4e871pzib.htm/, Retrieved Thu, 28 Mar 2024 20:23:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54924, Retrieved Thu, 28 Mar 2024 20:23:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193
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] [WS6-3] [2009-11-09 18:51:51] [612b7913d2a3b4fa79d126829bd148db] [Current]
-           [Kendall tau Correlation Matrix] [] [2009-12-15 20:18:36] [eea7474c6df699240a34279975905c82]
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Dataseries X:
9,3	8	23,2	6,2
9,3	8,1	23,2	6,3
8,7	7,7	20,9	6,2
8,2	7,5	20,9	6,1
8,3	7,6	20,9	6,3
8,5	7,8	19,8	6,5
8,6	7,8	19,8	6,6
8,5	7,8	19,8	6,5
8,2	7,5	20,6	6,2
8,1	7,5	20,6	6,2
7,9	7,1	20,6	5,9
8,6	7,5	21,1	6,1
8,7	7,5	21,1	6,1
8,7	7,6	21,1	6,1
8,5	7,7	22,4	6,1
8,4	7,7	22,4	6,1
8,5	7,9	22,4	6,4
8,7	8,1	20,5	6,7
8,7	8,2	20,5	6,9
8,6	8,2	20,5	7
8,5	8,2	18,4	7
8,3	7,9	18,4	6,8
8	7,3	18,4	6,4
8,2	6,9	17,6	5,9
8,1	6,6	17,6	5,5
8,1	6,7	17,6	5,5
8	6,9	18,5	5,6
7,9	7	18,5	5,8
7,9	7,1	18,5	5,9
8	7,2	17,3	6,1
8	7,1	17,3	6,1
7,9	6,9	17,3	6
8	7	16,2	6
7,7	6,8	16,2	5,9
7,2	6,4	16,2	5,5
7,5	6,7	18,5	5,6
7,3	6,6	18,5	5,4
7	6,4	18,5	5,2
7	6,3	16,3	5,2
7	6,2	16,3	5,2
7,2	6,5	16,3	5,5
7,3	6,8	16,8	5,8
7,1	6,8	16,8	5,8
6,8	6,4	16,8	5,5
6,4	6,1	14,8	5,3
6,1	5,8	14,8	5,1
6,5	6,1	14,8	5,2
7,7	7,2	21,4	5,8
7,9	7,3	21,4	5,8
7,5	6,9	21,4	5,5
6,9	6,1	16,1	5
6,6	5,8	16,1	4,9
6,9	6,2	16,1	5,3
7,7	7,1	19,6	6,1
8	7,7	19,6	6,5
8	7,9	19,6	6,8
7,7	7,7	18,9	6,6
7,3	7,4	18,9	6,4
7,4	7,5	18,9	6,4
8,1	8	18,9	6,6
8,3	8,1	18,9	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=54924&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=54924&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54924&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( tw , twm )0.692686469742892.95319324550292e-14
tau( tw , twm<25 )0.5713485210620753.90669274707989e-10
tau( tw , twm>25 )0.5827647802125512.16819007192726e-10
tau( twm , twm<25 )0.5524307604831211.26244126263941e-09
tau( twm , twm>25 )0.8332230487903030
tau( twm<25 , twm>25 )0.3704216128534425.28848478271726e-05

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( tw , twm ) & 0.69268646974289 & 2.95319324550292e-14 \tabularnewline
tau( tw , twm<25 ) & 0.571348521062075 & 3.90669274707989e-10 \tabularnewline
tau( tw , twm>25 ) & 0.582764780212551 & 2.16819007192726e-10 \tabularnewline
tau( twm , twm<25 ) & 0.552430760483121 & 1.26244126263941e-09 \tabularnewline
tau( twm , twm>25 ) & 0.833223048790303 & 0 \tabularnewline
tau( twm<25 , twm>25 ) & 0.370421612853442 & 5.28848478271726e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54924&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( tw , twm )[/C][C]0.69268646974289[/C][C]2.95319324550292e-14[/C][/ROW]
[ROW][C]tau( tw , twm<25 )[/C][C]0.571348521062075[/C][C]3.90669274707989e-10[/C][/ROW]
[ROW][C]tau( tw , twm>25 )[/C][C]0.582764780212551[/C][C]2.16819007192726e-10[/C][/ROW]
[ROW][C]tau( twm , twm<25 )[/C][C]0.552430760483121[/C][C]1.26244126263941e-09[/C][/ROW]
[ROW][C]tau( twm , twm>25 )[/C][C]0.833223048790303[/C][C]0[/C][/ROW]
[ROW][C]tau( twm<25 , twm>25 )[/C][C]0.370421612853442[/C][C]5.28848478271726e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54924&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54924&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( tw , twm )0.692686469742892.95319324550292e-14
tau( tw , twm<25 )0.5713485210620753.90669274707989e-10
tau( tw , twm>25 )0.5827647802125512.16819007192726e-10
tau( twm , twm<25 )0.5524307604831211.26244126263941e-09
tau( twm , twm>25 )0.8332230487903030
tau( twm<25 , twm>25 )0.3704216128534425.28848478271726e-05



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')