R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(100.0,100.0,100.6,95.3,114.2,90.7,91.5,88.4,94.7,86.0,110.6,86.0,71.3,95.3,104.1,95.3,112.3,88.4,110.2,86.0,112.9,81.4,95.1,83.7,103.1,95.3,101.9,88.4,100.4,86.0,106.9,83.7,100.7,76.7,114.3,79.1,73.3,86.0,105.9,86.0,113.9,79.1,112.1,76.7,117.5,69.8,97.5,69.8,112.3,76.7,106.9,69.8,120.9,67.4,92.7,65.1,110.9,58.1,116.5,60.5,77.1,65.1,113.1,62.8,115.9,55.8,123.5,51.2,123.6,48.8,101.5,48.8,121.0,53.5,112.2,48.8,126.0,46.5,101.8,44.2,117.9,39.5,122.2,41.9,82.7,48.8,120.5,46.5,120.3,41.9,134.2,39.5,128.2,37.2,100.5,37.2,126.0,41.9,122.9,39.5,106.1,39.5,130.4,34.9,121.3,34.9,126.1,34.9,88.7,41.9,118.7,41.9,129.3,39.5,136.2,39.5,123.0,41.9,103.5,46.5),dim=c(2,60),dimnames=list(c('Productie','Werkloosheid'),1:60))
>  y <- array(NA,dim=c(2,60),dimnames=list(c('Productie','Werkloosheid'),1:60))
>  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/1u4gq1261223608.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 = -4.943, p-value = 7.694e-07
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
-0.4467911 

> 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/2xsj91261223608.tab") 
> 
> try(system("convert tmp/1u4gq1261223608.ps tmp/1u4gq1261223608.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.405   0.180   0.486