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(95.1,117.1,97,118.7,112.7,126.5,102.9,127.5,97.4,134.6,111.4,131.8,87.4,135.9,96.8,142.7,114.1,141.7,110.3,153.4,103.9,145,101.6,137.7,94.6,148.3,95.9,152.2,104.7,169.4,102.8,168.6,98.1,161.1,113.9,174.1,80.9,179,95.7,190.6,113.2,190,105.9,181.6,108.8,174.8,102.3,180.5,99,196.8,100.7,193.8,115.5,197,100.7,216.3,109.9,221.4,114.6,217.9,85.4,229.7,100.5,227.4,114.8,204.2,116.5,196.6,112.9,198.8,102,207.5,106,190.7,105.3,201.6,118.8,210.5,106.1,223.5,109.3,223.8,117.2,231.2,92.5,244,104.2,234.7,112.5,250.2,122.4,265.7,113.3,287.6,100,283.3,110.7,295.4,112.8,312.3,109.8,333.8,117.3,347.7,109.1,383.2,115.9,407.1,96,413.6,99.8,362.7,116.8,321.9,115.7,239.4,99.4,191,94.3,159.7,91,163.4),dim=c(2,61),dimnames=list(c('tot.ind.prod.index','prijsindex.grondst.incl.energie'),1:61))
>  y <- array(NA,dim=c(2,61),dimnames=list(c('tot.ind.prod.index','prijsindex.grondst.incl.energie'),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/1n0mj1261337430.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 = 2.8688, p-value = 0.00412
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.2519814 

> 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/2ntrc1261337430.tab") 
> 
> try(system("convert tmp/1n0mj1261337430.ps tmp/1n0mj1261337430.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.412   0.181   0.488