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Author's title

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 05:14:36 -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/t1258114547x5hop9bkistw3ib.htm/, Retrieved Sun, 05 May 2024 13:22:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56499, Retrieved Sun, 05 May 2024 13:22:52 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSDHW, DSHW
Estimated Impact140
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] [DSHW-WS6-KendallT...] [2009-11-13 12:14:36] [36295456a56d4c7dcc9b9537ce63463b] [Current]
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Dataseries X:
1,1	1,4	7,8	9,5
1,3	1,6	7,8	9,6
1,5	1,7	7,8	9,5
1,5	2,0	7,5	9,1
1,7	2,0	7,5	8,9
1,9	2,1	7,1	9
2,0	2,5	7,5	10,1
2,6	2,5	7,5	10,3
4,0	2,6	7,6	10,2
5,4	2,7	7,7	9,6
5,5	3,7	7,7	9,2
5,5	4,0	7,9	9,3
5,2	5,0	8,1	9,4
5,2	5,1	8,2	9,4
5,2	5,1	8,2	9,2
5,2	5,0	8,2	9
5,2	5,1	7,9	9
5,2	4,7	7,3	9
5,2	4,5	6,9	9,8
5,5	4,5	6,6	10
6,9	4,6	6,7	9,8
7,3	4,6	6,9	9,3
7,3	4,6	7	9
7,4	4,6	7,1	9
7,4	5,3	7,2	9,1
7,5	5,4	7,1	9,1
13,1	5,3	6,9	9,1
17,0	5,2	7	9,2
19,3	5,0	6,8	8,8
19,4	4,2	6,4	8,3
19,5	4,3	6,7	8,4
19,7	4,3	6,6	8,1
19,7	4,3	6,4	7,7
19,7	4,0	6,3	7,9
19,8	4,0	6,2	7,9
19,8	4,1	6,5	8
19,8	4,4	6,8	7,9
19,8	3,6	6,8	7,6
19,8	3,7	6,4	7,1
21,3	3,8	6,1	6,8
22,4	3,3	5,8	6,5
22,7	3,3	6,1	6,9
22,8	3,3	7,2	8,2
22,8	3,5	7,3	8,7
22,8	3,3	6,9	8,3
22,8	3,3	6,1	7,9
22,8	3,4	5,8	7,5
22,8	3,4	6,2	7,8
22,8	5,2	7,1	8,3
22,9	5,3	7,7	8,4
23,6	4,8	7,9	8,2
24,7	5,0	7,7	7,7
25,1	4,6	7,4	7,2
25,3	4,6	7,5	7,3
25,5	3,5	8	8,1
25,5	3,5	8,1	8,5




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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=56499&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]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=56499&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56499&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
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( IndTabak , IndGez )0.09507808590842370.316658530341387
tau( IndTabak , WerkzMan )-0.2739551139289570.00394004367567903
tau( IndTabak , WerkzVr )-0.5793141575412169.39794857129346e-10
tau( IndGez , WerkzMan )0.1170141488538780.217073500948931
tau( IndGez , WerkzVr )0.01674490301104840.859270414607778
tau( WerkzMan , WerkzVr )0.3726571688218128.05745414920178e-05

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( IndTabak , IndGez ) & 0.0950780859084237 & 0.316658530341387 \tabularnewline
tau( IndTabak , WerkzMan ) & -0.273955113928957 & 0.00394004367567903 \tabularnewline
tau( IndTabak , WerkzVr
 ) & -0.579314157541216 & 9.39794857129346e-10 \tabularnewline
tau( IndGez , WerkzMan ) & 0.117014148853878 & 0.217073500948931 \tabularnewline
tau( IndGez , WerkzVr
 ) & 0.0167449030110484 & 0.859270414607778 \tabularnewline
tau( WerkzMan , WerkzVr
 ) & 0.372657168821812 & 8.05745414920178e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56499&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( IndTabak , IndGez )[/C][C]0.0950780859084237[/C][C]0.316658530341387[/C][/ROW]
[ROW][C]tau( IndTabak , WerkzMan )[/C][C]-0.273955113928957[/C][C]0.00394004367567903[/C][/ROW]
[ROW][C]tau( IndTabak , WerkzVr
 )[/C][C]-0.579314157541216[/C][C]9.39794857129346e-10[/C][/ROW]
[ROW][C]tau( IndGez , WerkzMan )[/C][C]0.117014148853878[/C][C]0.217073500948931[/C][/ROW]
[ROW][C]tau( IndGez , WerkzVr
 )[/C][C]0.0167449030110484[/C][C]0.859270414607778[/C][/ROW]
[ROW][C]tau( WerkzMan , WerkzVr
 )[/C][C]0.372657168821812[/C][C]8.05745414920178e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56499&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56499&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( IndTabak , IndGez )0.09507808590842370.316658530341387
tau( IndTabak , WerkzMan )-0.2739551139289570.00394004367567903
tau( IndTabak , WerkzVr )-0.5793141575412169.39794857129346e-10
tau( IndGez , WerkzMan )0.1170141488538780.217073500948931
tau( IndGez , WerkzVr )0.01674490301104840.859270414607778
tau( WerkzMan , WerkzVr )0.3726571688218128.05745414920178e-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')