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(13807.9,2236,14101.7,2084.9,16010.3,2409.5,14633.1,2199.3,14478.5,2203.5,15327.3,2254.1,14179.5,1975.8,11398.2,1742.2,16111.5,2520.6,15887.4,2438.1,14529.3,2126.3,13923.1,2267.5,13960.2,2201.1,14807.8,2128.5,17511.5,2596,15845.9,2458.2,14594.2,2210.5,17252.2,2621.2,14832.8,2231.4,13132.1,2103.6,17665.9,2685.8,16913,2539.3,17318.8,2462.4,16224.2,2693.3,15469.6,2307.7,16557.5,2385.9,19414.8,2737.6,17335,2653.9,16525.2,2545.4,18160.4,2848.8,15553.8,2359.5,15262.2,2488.3,18581,2861.1,17564.1,2717.9,18948.6,2844,17187.8,2749,17564.8,2652.9,17668.4,2660.2,20811.7,3187.1,17257.8,2774.1,18984.2,3158.2,20532.6,3244.6,17082.3,2665.5,16894.9,2820.8,20274.9,2983.4,20078.6,3077.4,19900.9,3024.8,17012.2,2731.8,19642.9,3046.2,19024,2834.8,21691,3292.8,18835.9,2946.1,19873.4,3196.9,21468.2,3284.2,19406.8,3003,18385.3,2979,20739.3,3137.4,22268.3,3630.2,21569,3270.7,17514.8,2942.3),dim=c(2,60),dimnames=list(c('Total_export_EU','Total_export_Netherlands'),1:60))
>  y <- array(NA,dim=c(2,60),dimnames=list(c('Total_export_EU','Total_export_Netherlands'),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/1ind71229082930.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 = 9.1715, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.8124294 

> 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/2fxzq1229082930.tab") 
> 
> system("convert tmp/1ind71229082930.ps tmp/1ind71229082930.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.434   0.182   0.758