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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 computationThu, 11 Dec 2008 06:05:49 -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/2008/Dec/11/t1229000909yytr9i3yg7m6rb6.htm/, Retrieved Sun, 19 May 2024 07:20:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32211, Retrieved Sun, 19 May 2024 07:20:18 +0000
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Original text written by user:
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User-defined keywords
Estimated Impact167
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [paper - kendal ta...] [2008-12-11 13:05:49] [1828943283e41f5e3270e2e73d6433b4] [Current]
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Dataseries X:
4.8	19.2	3
5.5	26.6	3.5
5.4	26.6	3.9
5.9	31.4	4.4
5.8	31.2	3.5
5.1	26.4	4.7
4.1	20.7	1.6
4.4	20.7	2.3
3.6	15	1.2
3.5	13.3	1.4
3.1	8.7	2.7
2.9	10.2	1.5
2.2	4.3	2.1
1.4	-0.1	0.5
1.2	-4.6	1.7
1.3	-3.9	3.6
1.3	-3.5	3.2
1.3	-3.4	1.7
1.8	-2.5	5.6
1.8	-1.1	3.7
1.8	0.3	4.3
1.7	-0.9	5.9
2.1	3.6	4.8
2	2.7	6
1.7	-0.2	5.6
1.9	-1	6.7
2.3	5.8	3.3
2.4	6.4	3
2.5	9.6	1.6
2.8	13.2	1.7
2.6	10.6	1.1
2.2	10.9	-0.3
2.8	12.9	3
2.8	15.9	2.7
2.8	12.2	1.8
2.3	9.1	1.5
2.2	9	1
3	17.4	0.5
2.9	14.7	2.8
2.7	17	1.4
2.7	13.7	1.7
2.3	9.5	2.6
2.4	14.8	1.9
2.8	13.6	3.9
2.3	12.6	1.5
2	8.9	-0.5
1.9	10.2	1.9
2.3	12.7	1
2.7	16	0.1
1.8	10.4	-3.1
2	9.9	-0.8
2.1	9.5	0.7
2	8.6	1.4
2.4	10	2.8
1.7	3.5	1.9
1	-4.2	1.1
1.2	-4.4	1.4
1.4	-1.5	2.9
1.7	-0.1	2.9
1.8	0.8	2.9




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=32211&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=32211&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32211&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( Totaal , Energiedragers )0.7768486383748750
tau( Totaal , onbewerktebewerkte_levensmiddelen )0.05162559768500180.569284033672416
tau( Energiedragers , onbewerktebewerkte_levensmiddelen )-0.08909479528202480.319305020346840

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaal , Energiedragers ) & 0.776848638374875 & 0 \tabularnewline
tau( Totaal , onbewerktebewerkte_levensmiddelen ) & 0.0516255976850018 & 0.569284033672416 \tabularnewline
tau( Energiedragers , onbewerktebewerkte_levensmiddelen ) & -0.0890947952820248 & 0.319305020346840 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32211&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 , Energiedragers )[/C][C]0.776848638374875[/C][C]0[/C][/ROW]
[ROW][C]tau( Totaal , onbewerktebewerkte_levensmiddelen )[/C][C]0.0516255976850018[/C][C]0.569284033672416[/C][/ROW]
[ROW][C]tau( Energiedragers , onbewerktebewerkte_levensmiddelen )[/C][C]-0.0890947952820248[/C][C]0.319305020346840[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32211&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32211&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 , Energiedragers )0.7768486383748750
tau( Totaal , onbewerktebewerkte_levensmiddelen )0.05162559768500180.569284033672416
tau( Energiedragers , onbewerktebewerkte_levensmiddelen )-0.08909479528202480.319305020346840



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')