R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(101.8
+ ,100
+ ,103.4
+ ,100
+ ,104.9
+ ,100
+ ,105.1
+ ,100.1
+ ,105.6
+ ,100
+ ,104.5
+ ,100
+ ,105.5
+ ,99.8
+ ,105.1
+ ,100
+ ,106.9
+ ,99.9
+ ,106.6
+ ,99.2
+ ,106.6
+ ,98.7
+ ,106.5
+ ,98.7
+ ,109.7
+ ,98.9
+ ,109.5
+ ,99.2
+ ,109.2
+ ,99.8
+ ,109.1
+ ,100.5
+ ,109
+ ,100.1
+ ,109
+ ,100.5
+ ,109
+ ,98.4
+ ,109
+ ,98.6
+ ,109
+ ,99
+ ,109
+ ,99.1
+ ,109
+ ,98.9
+ ,109
+ ,98.5
+ ,109
+ ,96.9
+ ,109
+ ,96.8
+ ,109
+ ,97
+ ,109
+ ,97
+ ,109
+ ,96.9
+ ,109
+ ,97.1
+ ,109
+ ,97.2
+ ,109
+ ,97.9
+ ,109
+ ,98.9
+ ,109
+ ,99.2
+ ,109
+ ,99.5
+ ,109.2
+ ,99.3
+ ,113.3
+ ,99.9
+ ,112.3
+ ,100
+ ,112.3
+ ,100.3
+ ,116.3
+ ,100.5
+ ,118.3
+ ,100.7
+ ,119.4
+ ,100.9
+ ,119.4
+ ,100.8
+ ,119.4
+ ,100.9
+ ,120.1
+ ,101
+ ,121.7
+ ,100.3
+ ,123.7
+ ,100.1
+ ,123.7
+ ,99.8
+ ,128.5
+ ,99.9
+ ,127.1
+ ,99.9
+ ,122.6
+ ,100.2
+ ,119.8
+ ,99.7
+ ,122.7
+ ,100.4
+ ,123.4
+ ,100.9
+ ,123.8
+ ,101.3
+ ,121.8
+ ,101.4
+ ,121.2
+ ,101.3
+ ,121.2
+ ,100.9
+ ,121.2
+ ,100.9
+ ,121.2
+ ,100.9
+ ,129.6
+ ,101.1
+ ,131
+ ,101.1
+ ,131
+ ,101.3
+ ,129.8
+ ,101.8
+ ,129.8
+ ,102.9
+ ,134.9
+ ,103.2
+ ,131.2
+ ,103.3
+ ,127.1
+ ,104.5
+ ,130.5
+ ,105
+ ,130.5
+ ,104.9
+ ,131.7
+ ,104.9
+ ,131.7
+ ,105.4
+ ,131.7
+ ,106
+ ,131.7
+ ,105.7
+ ,128.7
+ ,105.9
+ ,125
+ ,106.2
+ ,124.5
+ ,106.4
+ ,123
+ ,106.9
+ ,122.8
+ ,107.3
+ ,123.1
+ ,107.9
+ ,124.8
+ ,109.2
+ ,126.9
+ ,110.2
+ ,131.7
+ ,110.2
+ ,136.8
+ ,110.5
+ ,143.7
+ ,110.6
+ ,150.1
+ ,110.8
+ ,152.7
+ ,111.3
+ ,152.6
+ ,111.1
+ ,150.5
+ ,111.2
+ ,154.9
+ ,111.2
+ ,158
+ ,111.1
+ ,158.1
+ ,111.5
+ ,160.6
+ ,112.1
+ ,160.6
+ ,111.4)
+ ,dim=c(2
+ ,94)
+ ,dimnames=list(c('Energie'
+ ,'Voeding')
+ ,1:94))
>  y <- array(NA,dim=c(2,94),dimnames=list(c('Energie','Voeding'),1:94))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> main = 'Kendall tau Correlation Plot'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method='kendall')
+ r <- round(rr$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', ...)
+ }
> postscript(file="/var/www/html/rcomp/tmp/1imq71228933450.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/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
[1] 2
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 9.0912, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6536837 

> 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="/var/www/html/rcomp/tmp/2vjf51228933450.tab") 
> 
> system("convert tmp/1imq71228933450.ps tmp/1imq71228933450.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.436   0.200   0.514