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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 11:31:32 -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/t1258137152v207kyybcihxjs8.htm/, Retrieved Sun, 05 May 2024 09:44:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56975, Retrieved Sun, 05 May 2024 09:44:52 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS6 kendall tau correlation matrix
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [WS6 kendall tau c...] [2009-11-13 18:31:32] [b4ff140915b3f24d4faed3d78f95eba4] [Current]
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Dataseries X:
8	11,1	4,2	2,6
8,1	10,9	4	2,4
7,7	10	4,9	3,1
7,5	9,2	4,6	2,9
7,6	9,2	4,3	2,7
7,8	9,5	4,3	2,8
7,8	9,6	4,6	3
7,8	9,5	5,1	3,5
7,5	9,1	4,8	3,1
7,5	8,9	4,5	3,1
7,1	9	4,9	3,3
7,5	10,1	5,1	3,4
7,5	10,3	5,1	3,4
7,6	10,2	5,2	3,3
7,7	9,6	4,5	2,7
7,7	9,2	4,6	3
7,9	9,3	4,9	3,3
8,1	9,4	4,6	3
8,2	9,4	4,4	3
8,2	9,2	3,7	2,3
8,2	9	4	2,7
7,9	9	4,2	2,9
7,3	9	3,9	2,7
6,9	9,8	3,6	2,6
6,6	10	3,6	2,7
6,7	9,8	3,2	2,8
6,9	9,3	3,2	2,9
7	9	3,5	2,9
7,1	9	3,6	2,9
7,2	9,1	3,7	3
7,1	9,1	3,8	3,1
6,9	9,1	3,8	2,9
7	9,2	3,8	2,9
6,8	8,8	3,3	2,3
6,4	8,3	3,3	2,3
6,7	8,4	3,4	2,4
6,6	8,1	3,1	2,2
6,4	7,7	3,5	2,3
6,3	7,9	4,2	2,8
6,2	7,9	4,9	3,2
6,5	8	5,1	3,6
6,8	7,9	5,5	3,8
6,8	7,6	5,6	4,1
6,4	7,1	6,4	4,9
6,1	6,8	6,2	4,7
5,8	6,5	7,2	5,6
6,1	6,9	7,8	6,1
7,2	8,2	7,9	6,2
7,3	8,7	7,4	5,9
6,9	8,3	7,5	6,1
6,1	7,9	6,7	5,8
5,8	7,5	5,1	4,9
6,2	7,8	4,6	4,5
7,1	8,3	4,3	4,3
7,7	8,4	3,9	3,8
7,9	8,2	2,6	2,6
7,7	7,7	2,6	2,5
7,4	7,2	1,6	1,7
7,5	7,3	0,9	0,9
8	8,1	0,3	0,3




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=56975&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=56975&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56975&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( werkm , werkv )0.4268654076478142.89231147942992e-06
tau( werkm , consi )-0.1201534922247520.187478027516272
tau( werkm , gezi )-0.2235915877980430.0146841342139993
tau( werkv , consi )-0.02671314229136320.768589998076332
tau( werkv , gezi )-0.1378924396981840.130816846936074
tau( consi , gezi )0.7493575184145442.22044604925031e-16

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( werkm , werkv ) & 0.426865407647814 & 2.89231147942992e-06 \tabularnewline
tau( werkm , consi ) & -0.120153492224752 & 0.187478027516272 \tabularnewline
tau( werkm , gezi ) & -0.223591587798043 & 0.0146841342139993 \tabularnewline
tau( werkv , consi ) & -0.0267131422913632 & 0.768589998076332 \tabularnewline
tau( werkv , gezi ) & -0.137892439698184 & 0.130816846936074 \tabularnewline
tau( consi , gezi ) & 0.749357518414544 & 2.22044604925031e-16 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56975&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( werkm , werkv )[/C][C]0.426865407647814[/C][C]2.89231147942992e-06[/C][/ROW]
[ROW][C]tau( werkm , consi )[/C][C]-0.120153492224752[/C][C]0.187478027516272[/C][/ROW]
[ROW][C]tau( werkm , gezi )[/C][C]-0.223591587798043[/C][C]0.0146841342139993[/C][/ROW]
[ROW][C]tau( werkv , consi )[/C][C]-0.0267131422913632[/C][C]0.768589998076332[/C][/ROW]
[ROW][C]tau( werkv , gezi )[/C][C]-0.137892439698184[/C][C]0.130816846936074[/C][/ROW]
[ROW][C]tau( consi , gezi )[/C][C]0.749357518414544[/C][C]2.22044604925031e-16[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56975&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56975&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( werkm , werkv )0.4268654076478142.89231147942992e-06
tau( werkm , consi )-0.1201534922247520.187478027516272
tau( werkm , gezi )-0.2235915877980430.0146841342139993
tau( werkv , consi )-0.02671314229136320.768589998076332
tau( werkv , gezi )-0.1378924396981840.130816846936074
tau( consi , gezi )0.7493575184145442.22044604925031e-16



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')