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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, 19 Dec 2008 05:12:05 -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/2008/Dec/19/t1229688835l1voorzyvfv7fvm.htm/, Retrieved Wed, 15 May 2024 06:09:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35084, Retrieved Wed, 15 May 2024 06:09:19 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [kendall tau corr ...] [2008-12-19 12:12:05] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
1,8	-8,0	-2,5	-3,7
1,2	-7,5	0,4	-1,2
19,9	18,5	8,6	11,4
2,5	-1,7	0,3	-0,1
-1,4	-1,5	10,4	0,1
22,0	14,6	10,5	12,3
-6,4	3,3	-1,8	-1,3
13,6	4,5	4,8	5,1
11,3	0,9	3,6	3,6
3,0	-11,1	-4,9	-6,4
-1,1	4,6	6,7	6,9
2,1	-6,7	2,2	0,4
7,2	16,9	3,9	6,6
4,6	3,0	1,4	1,9
-1,6	-3,4	-2,9	-3,2
0,9	10,3	1,0	2,9
1,8	-5,8	5,8	4,1
0,7	1,3	-2,0	-1,6
5,1	10,0	-5,5	-3,1
7,4	-10,6	2,6	0,3
1,5	23,0	-0,1	4,2
-9,0	-3,2	-1,0	-1,5
8,1	17,2	0,9	4,1
4,3	11,5	-5,2	-2,4
1,6	12,9	-0,4	1,9
11,6	18,1	1,0	4,2
10,8	3,5	5,6	5,5
-8,5	4,7	-3,9	-2,7
21,5	50,3	5,7	14,2
5,5	15,4	4,2	6,4
2,5	8,9	5,1	6,3
1,5	8,1	4,3	5,5
8,5	-3,3	2,9	1,8
18,7	30,4	10,8	15,3
13,6	13,6	7,8	9,2
1,7	6,1	3,6	4,3
10,7	-14,7	7,6	4,7
-5,3	-7,4	3,8	2,5
-14,8	-13,8	4,3	1,6
5,1	-10,7	7,3	5,1
-5,9	-25,1	3,9	-0,8
6,0	-13,6	3,2	0,5
9,5	7,3	13,2	13,5
2,1	18,1	6,5	9,4
-3,2	-14,1	-0,8	-3,3
6,3	-11,4	8,1	5,6
-2,1	-18,9	4,2	0,7
5,3	-20,3	1,2	-2,2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35084&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35084&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35084&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( INV , DC )0.2783466194128950.00539043828418184
tau( INV , NDC )0.3055679590446450.00228902276294352
tau( INV , CON )0.4160356760170533.28841075509789e-05
tau( DC , NDC )0.08533346818138960.393407580766467
tau( DC , CON )0.4053339738616015.0369344227974e-05
tau( NDC , CON )0.6447016918967051.21474386105547e-10

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( INV , DC ) & 0.278346619412895 & 0.00539043828418184 \tabularnewline
tau( INV , NDC ) & 0.305567959044645 & 0.00228902276294352 \tabularnewline
tau( INV , CON ) & 0.416035676017053 & 3.28841075509789e-05 \tabularnewline
tau( DC , NDC ) & 0.0853334681813896 & 0.393407580766467 \tabularnewline
tau( DC , CON ) & 0.405333973861601 & 5.0369344227974e-05 \tabularnewline
tau( NDC , CON ) & 0.644701691896705 & 1.21474386105547e-10 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35084&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( INV , DC )[/C][C]0.278346619412895[/C][C]0.00539043828418184[/C][/ROW]
[ROW][C]tau( INV , NDC )[/C][C]0.305567959044645[/C][C]0.00228902276294352[/C][/ROW]
[ROW][C]tau( INV , CON )[/C][C]0.416035676017053[/C][C]3.28841075509789e-05[/C][/ROW]
[ROW][C]tau( DC , NDC )[/C][C]0.0853334681813896[/C][C]0.393407580766467[/C][/ROW]
[ROW][C]tau( DC , CON )[/C][C]0.405333973861601[/C][C]5.0369344227974e-05[/C][/ROW]
[ROW][C]tau( NDC , CON )[/C][C]0.644701691896705[/C][C]1.21474386105547e-10[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35084&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35084&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( INV , DC )0.2783466194128950.00539043828418184
tau( INV , NDC )0.3055679590446450.00228902276294352
tau( INV , CON )0.4160356760170533.28841075509789e-05
tau( DC , NDC )0.08533346818138960.393407580766467
tau( DC , CON )0.4053339738616015.0369344227974e-05
tau( NDC , CON )0.6447016918967051.21474386105547e-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')