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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSat, 01 Dec 2007 06:33:06 -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/2007/Dec/01/t11965156995onmmkf0rky68gy.htm/, Retrieved Sun, 19 May 2024 18:45:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14348, Retrieved Sun, 19 May 2024 18:45:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact216
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [paper kendall tau] [2007-12-01 13:33:06] [81dc9bdb52d04dc20036dbd8313ed055] [Current]
-   PD    [Kendall tau Correlation Matrix] [kendall tau met d...] [2008-12-16 20:18:02] [4ddbf81f78ea7c738951638c7e93f6ee]
-   PD    [Kendall tau Correlation Matrix] [Kendall tau corre...] [2008-12-16 20:21:18] [4ddbf81f78ea7c738951638c7e93f6ee]
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Dataseries X:
4,6	0,8	5,5	-20,8
10,1	-3,8	4,2	-38,4
-7,8	-1,9	-7	-3,8
0,4	14,2	1,2	9,3
-9,2	0	-5,8	2,1
-2,5	2,1	-4,3	-1,9
11,8	14,9	10,9	18,8
2,3	18,2	3,2	10,2
2,5	7,2	3,8	-10,5
8,8	1	13,1	28,6
-0,8	6,8	23,1	-5,7
8,4	24,9	4	35,8
4,4	10,3	-2,5	24,6
-5,1	1,7	-4,4	32,6
14	8,6	0,9	5,1
7,9	8,2	7	2,1
3,1	6	1,4	19,4
3,8	7	-0,4	18
-6,1	3,5	-8,6	12,4
-2,9	-1,5	-7,1	7,3
0,5	1	-0,9	1
1,4	14,6	5,7	21
-9,1	-8,6	-20,7	9,3
-0,2	-8,9	2,8	-7
-4,4	2,5	7,4	3,6
-6,5	1,7	-4,5	-22,5
3,3	24,7	8,1	4,2
-0,4	15,2	-0,2	1,8
5	15,5	7	-8,2
1,8	8,9	8,3	6,3
9,5	16,3	12,9	2
-2,2	5,7	6,8	-20
16,4	23,9	7,6	29,3
5,4	14,6	2,7	-19,9
9	12,7	-0,5	-0,2
7,6	10,6	2,9	-0,2
11,7	9,7	2,4	5
23,6	24,8	12,7	27,8
16	4,5	3,9	19,5
10,2	13,1	0,3	-2,7
18,3	22,4	5,3	15,2
16,1	15,6	-4,2	-6,6
15	20,4	-5,9	-8,5
18,5	19,1	-0,4	9,5
11,9	11,8	-3	-12,8
15,1	7,3	-9,2	8,8
14,4	29,7	6,3	13,9
12,8	13,4	6,4	4,4




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14348&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 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=14348&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14348&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( 1 , 2 )0.4536178011664305.56366757908933e-06
tau( 1 , 3 )0.2040817129920480.040912982072576
tau( 1 , 4 )0.1340436163916460.179513926739495
tau( 2 , 3 )0.2532208157469110.0112900297056067
tau( 2 , 4 )0.1813333333333330.0697409453498954
tau( 3 , 4 )0.08262995040162360.408378279959104

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( 1 , 2 ) & 0.453617801166430 & 5.56366757908933e-06 \tabularnewline
tau( 1 , 3 ) & 0.204081712992048 & 0.040912982072576 \tabularnewline
tau( 1 , 4
 ) & 0.134043616391646 & 0.179513926739495 \tabularnewline
tau( 2 , 3 ) & 0.253220815746911 & 0.0112900297056067 \tabularnewline
tau( 2 , 4
 ) & 0.181333333333333 & 0.0697409453498954 \tabularnewline
tau( 3 , 4
 ) & 0.0826299504016236 & 0.408378279959104 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14348&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( 1 , 2 )[/C][C]0.453617801166430[/C][C]5.56366757908933e-06[/C][/ROW]
[ROW][C]tau( 1 , 3 )[/C][C]0.204081712992048[/C][C]0.040912982072576[/C][/ROW]
[ROW][C]tau( 1 , 4
 )[/C][C]0.134043616391646[/C][C]0.179513926739495[/C][/ROW]
[ROW][C]tau( 2 , 3 )[/C][C]0.253220815746911[/C][C]0.0112900297056067[/C][/ROW]
[ROW][C]tau( 2 , 4
 )[/C][C]0.181333333333333[/C][C]0.0697409453498954[/C][/ROW]
[ROW][C]tau( 3 , 4
 )[/C][C]0.0826299504016236[/C][C]0.408378279959104[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14348&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14348&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( 1 , 2 )0.4536178011664305.56366757908933e-06
tau( 1 , 3 )0.2040817129920480.040912982072576
tau( 1 , 4 )0.1340436163916460.179513926739495
tau( 2 , 3 )0.2532208157469110.0112900297056067
tau( 2 , 4 )0.1813333333333330.0697409453498954
tau( 3 , 4 )0.08262995040162360.408378279959104



Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
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')