Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 28 Nov 2007 10:31:50 -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/28/t1196270520ullyu497vcczc41.htm/, Retrieved Thu, 02 May 2024 02:19:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7174, Retrieved Thu, 02 May 2024 02:19:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgroep MENS
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendall tau matri...] [2007-11-28 17:31:50] [183840e644503a44411d430a3cdac4ba] [Current]
-    D    [Kendall tau Correlation Matrix] [WS4: Q4] [2007-12-13 17:50:18] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message
Dataseries X:
1,6	0	0	0,1
1,5	0	0	0
0,2	0,1	0	0,1
0,5	-0,1	0	0
-1,1	0	-0,2	0
1	-0,2	-0,1	0,1
-0,4	0,2	-0,1	-0,1
1,8	-0,1	1,1	-0,3
-0,3	-0,7	-0,4	0
0	-0,5	-0,1	-0,7
-0,1	0	0,1	0,4
3,2	0,2	-1,1	0,1
-0,2	0,3	0,4	0,7
-0,3	0,6	0	-0,6
-0,1	0,7	0,1	0,3
-0,1	-0,4	-0,1	0,2
0	0,4	0,1	-0,2
0	-2,1	0,2	-0,1
0	0,2	0,1	-0,1
0	0,4	0,6	0,7
0	0,1	0	-0,1
0	-0,2	0	0,2
0	-0,4	0	0
0	-1,6	-1	-0,8
0	-0,1	0,4	0,3
0	0,2	0,5	0,6
0	0	-0,8	-0,2
0	-0,1	-0,1	0,2
0	0,2	0,1	-0,8
0	0,1	-1,2	-0,9
0	0,7	1,5	1
0	1	0,4	0
0	0,3	0	-0,1
0	0,3	1	-0,2
0,2	-0,2	-0,3	0,1
4,1	0,6	-1,3	0
-1	0,1	-0,3	0,7
0	0,3	0,5	-1,3
4	0,2	0,8	0,2
2	0,2	-0,9	0,3
1,1	0,2	-1	-1,4
0	-0,1	0,8	2,1
0	0,1	-0,5	0,1
0,7	0,1	1,2	-0,3
1,6	-0,7	0,2	-2,7
2	-0,2	0,3	-0,4
0	-0,3	-0,2	0
4,8	0,1	-1,5	0
-1,4	0	-0,3	-0,3
-4,5	0,3	0,2	0,3
-2,8	-0,5	0,9	0,1
2,9	0,7	-0,4	0,3
0,7	0,5	-0,3	0,3
0,4	0,4	0,4	-1,1
-2	0,1	0,5	0,5
-0,6	-0,1	-0,3	-0,3
0	-0,4	1,8	-0,2
0	0	0,1	2,8
0	0	0,2	-0,1
8,4	0,2	-1,9	-2,2
1,4	0	2	4,2
0	0,2	0	0,1
-1,2	0,5	0,9	-0,3
0	1,1	-0,2	-0,5
5,1	0,3	0	0
-3,7	0,1	0	0
-4,1	1,2	0	1
3,4	0,5	-0,1	-0,3
0	-0,1	0	-0,2
1,2	0	-0,1	0,1
0	0,5	0	-0,4
0	0,6	-0,4	0,3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7174&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7174&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7174&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Energie , Voeding )0.01891097003153390.830401282019239
tau( Energie , Transport )-0.1207891561752250.169699892464428
tau( Energie , Textiel )-0.1106551753263460.208110291338587
tau( Voeding , Transport )0.01642457196179480.847912801034301
tau( Voeding , Textiel )0.06218566439451530.467481268452889
tau( Transport , Textiel )0.1051752216942670.217409725981149

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Energie , Voeding ) & 0.0189109700315339 & 0.830401282019239 \tabularnewline
tau( Energie , Transport ) & -0.120789156175225 & 0.169699892464428 \tabularnewline
tau( Energie , Textiel
 ) & -0.110655175326346 & 0.208110291338587 \tabularnewline
tau( Voeding , Transport ) & 0.0164245719617948 & 0.847912801034301 \tabularnewline
tau( Voeding , Textiel
 ) & 0.0621856643945153 & 0.467481268452889 \tabularnewline
tau( Transport , Textiel
 ) & 0.105175221694267 & 0.217409725981149 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7174&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( Energie , Voeding )[/C][C]0.0189109700315339[/C][C]0.830401282019239[/C][/ROW]
[ROW][C]tau( Energie , Transport )[/C][C]-0.120789156175225[/C][C]0.169699892464428[/C][/ROW]
[ROW][C]tau( Energie , Textiel
 )[/C][C]-0.110655175326346[/C][C]0.208110291338587[/C][/ROW]
[ROW][C]tau( Voeding , Transport )[/C][C]0.0164245719617948[/C][C]0.847912801034301[/C][/ROW]
[ROW][C]tau( Voeding , Textiel
 )[/C][C]0.0621856643945153[/C][C]0.467481268452889[/C][/ROW]
[ROW][C]tau( Transport , Textiel
 )[/C][C]0.105175221694267[/C][C]0.217409725981149[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7174&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7174&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( Energie , Voeding )0.01891097003153390.830401282019239
tau( Energie , Transport )-0.1207891561752250.169699892464428
tau( Energie , Textiel )-0.1106551753263460.208110291338587
tau( Voeding , Transport )0.01642457196179480.847912801034301
tau( Voeding , Textiel )0.06218566439451530.467481268452889
tau( Transport , Textiel )0.1051752216942670.217409725981149



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')