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(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(2,61),dimnames=list(c('Energie','Voeding'),1:61))
>  y <- array(NA,dim=c(2,61),dimnames=list(c('Energie','Voeding'),1:61))
>  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/15oq31228581083.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 = 7.1548, p-value = 8.382e-13
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6367166 

> 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/2iory1228581083.tab") 
> 
> system("convert tmp/15oq31228581083.ps tmp/15oq31228581083.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.450   0.213   0.843