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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 05 Nov 2009 04:10:20 -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/05/t125741945294dqrh37m05teij.htm/, Retrieved Fri, 03 May 2024 02:39:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53989, Retrieved Fri, 03 May 2024 02:39:52 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
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] [] [2009-11-05 11:10:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
10	20	7,8	9
7	4	7,6	9,1
5	10	7,5	8,7
9	12	7,6	8,2
10	10	7,5	7,9
9	12	7,3	7,9
8	12	7,6	9,1
7	13	7,5	9,4
10	17	7,6	9,4
9	12	7,9	9,1
11	15	7,9	9
12	12	8,1	9,3
12	14	8,2	9,9
12	19	8	9,8
12	16	7,5	9,3
12	17	6,8	8,3
11	16	6,5	8
12	19	6,6	8,5
11	17	7,6	10,4
12	17	8	11,1
11	20	8,1	10,9
13	18	7,7	10
10	16	7,5	9,2
11	19	7,6	9,2
12	18	7,8	9,5
12	23	7,8	9,6
11	20	7,8	9,5
9	20	7,5	9,1
8	15	7,5	8,9
9	17	7,1	9
9	16	7,5	10,1
8	15	7,5	10,3
6	10	7,6	10,2
10	13	7,7	9,6
10	10	7,7	9,2
11	19	7,9	9,3
12	21	8,1	9,4
12	17	8,2	9,4
11	16	8,2	9,2
11	17	8,2	9
9	14	7,9	9
11	18	7,3	9
11	17	6,9	9,8
11	14	6,6	10
9	15	6,7	9,8
12	16	6,9	9,3
12	11	7	9
10	15	7,1	9
12	13	7,2	9,1
11	17	7,1	9,1
10	16	6,9	9,1
11	9	7	9,2
11	17	6,8	8,8
10	15	6,4	8,3
9	12	6,7	8,4
8	12	6,6	8,1
9	12	6,4	7,7
8	12	6,3	7,9
5	4	6,2	7,9
6	7	6,5	8
4	4	6,8	7,9
7	3	6,8	7,6
4	3	6,4	7,1
4	0	6,1	6,8
4	5	5,8	6,5
0	3	6,1	6,9
2	4	7,2	8,2
4	3	7,3	8,7
6	10	6,9	8,3
1	4	6,1	7,9
2	1	5,8	7,5
1	1	6,2	7,8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53989&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53989&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53989&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'George Udny Yule' @ 72.249.76.132







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Finsg , Spvg )0.6044591644987614.32742730538394e-12
tau( Finsg , Wm )0.4036602525969163.0810861384456e-06
tau( Finsg , Wv )0.4634941954113367.70616044309946e-08
tau( Spvg , Wm )0.39074939703433.83763394617986e-06
tau( Spvg , Wv )0.4607575345723934.62992899574743e-08
tau( Wm , Wv )0.5184762794298235.55177237515636e-10

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Finsg , Spvg ) & 0.604459164498761 & 4.32742730538394e-12 \tabularnewline
tau( Finsg , Wm ) & 0.403660252596916 & 3.0810861384456e-06 \tabularnewline
tau( Finsg , Wv ) & 0.463494195411336 & 7.70616044309946e-08 \tabularnewline
tau( Spvg , Wm ) & 0.3907493970343 & 3.83763394617986e-06 \tabularnewline
tau( Spvg , Wv ) & 0.460757534572393 & 4.62992899574743e-08 \tabularnewline
tau( Wm , Wv ) & 0.518476279429823 & 5.55177237515636e-10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53989&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( Finsg , Spvg )[/C][C]0.604459164498761[/C][C]4.32742730538394e-12[/C][/ROW]
[ROW][C]tau( Finsg , Wm )[/C][C]0.403660252596916[/C][C]3.0810861384456e-06[/C][/ROW]
[ROW][C]tau( Finsg , Wv )[/C][C]0.463494195411336[/C][C]7.70616044309946e-08[/C][/ROW]
[ROW][C]tau( Spvg , Wm )[/C][C]0.3907493970343[/C][C]3.83763394617986e-06[/C][/ROW]
[ROW][C]tau( Spvg , Wv )[/C][C]0.460757534572393[/C][C]4.62992899574743e-08[/C][/ROW]
[ROW][C]tau( Wm , Wv )[/C][C]0.518476279429823[/C][C]5.55177237515636e-10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53989&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53989&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( Finsg , Spvg )0.6044591644987614.32742730538394e-12
tau( Finsg , Wm )0.4036602525969163.0810861384456e-06
tau( Finsg , Wv )0.4634941954113367.70616044309946e-08
tau( Spvg , Wm )0.39074939703433.83763394617986e-06
tau( Spvg , Wv )0.4607575345723934.62992899574743e-08
tau( Wm , Wv )0.5184762794298235.55177237515636e-10



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')