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Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 26 Nov 2007 13:11:49 -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/Nov/26/t1196107345sxnq1uwxv2o0eei.htm/, Retrieved Thu, 02 May 2024 22:38:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6671, Retrieved Thu, 02 May 2024 22:38:12 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Box-Cox Normality Plot] [Q1] [2007-11-25 13:22:15] [588ad4626e437f91cc92236ebfa22716]
- RM D    [Kendall tau Correlation Matrix] [] [2007-11-26 20:11:49] [48e0b7671e607713e2c1c3706de6df4e] [Current]
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Dataseries X:
-2.9	4.6	0.8	5.5
-7.7	10.1	-3.8	4.2
-5.3	-7.8	-1.9	-7
6	0.4	14.2	1.2
-3.1	-9.2	0	-5.8
-1.8	-2.5	2.1	-4.3
14.4	11.8	14.9	10.9
8.2	2.3	18.2	3.2
0.3	2.5	7.2	3.8
14.2	8.8	1	13.1
6	-0.8	6.8	23.1
18.1	8.4	24.9	4
9.4	4.4	10.3	-2.5
7.1	-5.1	1.7	-4.4
6.9	14	8.6	0.9
6.1	7.9	8.2	7
7.7	3.1	6	1.4
7.2	3.8	7	-0.4
0.2	-6.1	3.5	-8.6
-1	-2.9	-1.5	-7.1
0.5	0.5	1	-0.9
10.7	1.4	14.6	5.7
-7	-9.1	-8.6	-20.7
-3	-0.2	-8.9	2.8
2.6	-4.4	2.5	7.4
-8.9	-6.5	1.7	-4.5
9.3	3.3	24.7	8.1
3.5	-0.4	15.2	-0.2
4.1	5	15.5	7
6.3	1.8	8.9	8.3
9.7	9.5	16.3	12.9
-2.9	-2.2	5.7	6.8
18.9	16.4	23.9	7.6
-0.6	5.4	14.6	2.7
4.5	9	12.7	-0.5
4.9	7.6	10.6	2.9
6.8	11.7	9.7	2.4
22	23.6	24.8	12.7
11.2	16	4.5	3.9
4.5	10.2	13.1	0.3
14.4	18.3	22.4	5.3
3.8	16.1	15.6	-4.2
3.3	15	20.4	-5.9
10.4	18.5	19.1	-0.4
0.6	11.9	11.8	-3
4.7	15.1	7.3	-9.2
14.6	14.4	29.7	6.3
8.6	12.8	13.4	6.4




Summary of compuational 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 compuational 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=6671&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]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=6671&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6671&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Totaal , Metaal )0.4351694253535341.32564827732828e-05
tau( Totaal , Machines )0.4917741704454198.81304873079358e-07
tau( Totaal , Elektr.Instrumenten )0.3751112593032430.000175680769292752
tau( Metaal , Machines )0.4536178011664305.56366757908933e-06
tau( Metaal , Elektr.Instrumenten )0.2040817129920480.040912982072576
tau( Machines , Elektr.Instrumenten )0.2532208157469110.0112900297056067

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaal , Metaal ) & 0.435169425353534 & 1.32564827732828e-05 \tabularnewline
tau( Totaal , Machines ) & 0.491774170445419 & 8.81304873079358e-07 \tabularnewline
tau( Totaal , Elektr.Instrumenten ) & 0.375111259303243 & 0.000175680769292752 \tabularnewline
tau( Metaal , Machines ) & 0.453617801166430 & 5.56366757908933e-06 \tabularnewline
tau( Metaal , Elektr.Instrumenten ) & 0.204081712992048 & 0.040912982072576 \tabularnewline
tau( Machines , Elektr.Instrumenten ) & 0.253220815746911 & 0.0112900297056067 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6671&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( Totaal , Metaal )[/C][C]0.435169425353534[/C][C]1.32564827732828e-05[/C][/ROW]
[ROW][C]tau( Totaal , Machines )[/C][C]0.491774170445419[/C][C]8.81304873079358e-07[/C][/ROW]
[ROW][C]tau( Totaal , Elektr.Instrumenten )[/C][C]0.375111259303243[/C][C]0.000175680769292752[/C][/ROW]
[ROW][C]tau( Metaal , Machines )[/C][C]0.453617801166430[/C][C]5.56366757908933e-06[/C][/ROW]
[ROW][C]tau( Metaal , Elektr.Instrumenten )[/C][C]0.204081712992048[/C][C]0.040912982072576[/C][/ROW]
[ROW][C]tau( Machines , Elektr.Instrumenten )[/C][C]0.253220815746911[/C][C]0.0112900297056067[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6671&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6671&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( Totaal , Metaal )0.4351694253535341.32564827732828e-05
tau( Totaal , Machines )0.4917741704454198.81304873079358e-07
tau( Totaal , Elektr.Instrumenten )0.3751112593032430.000175680769292752
tau( Metaal , Machines )0.4536178011664305.56366757908933e-06
tau( Metaal , Elektr.Instrumenten )0.2040817129920480.040912982072576
tau( Machines , Elektr.Instrumenten )0.2532208157469110.0112900297056067



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')