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(-22,46,-29,60,-20,50,-31,57,-17,49,-27,56,-21,48,-28,56,-16,50,-22,59,-11,47,-22,57,-19,50,-30,62,-31,49,-33,62,-36,51,-41,59,-33,52,-39,57,-26,48,-40,63,-38,55,-49,61,-27,56,-40,59,-21,43,-36,58,-17,44,-34,58,-14,50,-30,58,-16,49,-33,55,-16,47,-36,55,-15,46,-33,56,-7,50,-33,60,-9,49,-27,56,2,53,-22,59,-6,54,-28,59,0,56,-27,63,7,56,-27,60,4,58,-23,58,-5,53,-31,57,2,51,-28,58,0,52,-21,55,3,53,-23,57,10,56,-19,56,4,54,-20,53,5,54,-21,61,7,56,-26,65,1,59,-29,66,-8,62,-31,65,-3,62,-31,68,-16,73,-47,78,-22,76,-48,79,-32,80,-58,80,-30,77,-59,84,-32,81,-57,84,-38,80,-64,86,-41,80,-65,86,-46,81,-71,81,-58,80,-72,80,-55,77,-71,79,-48,71,-66,76,-58,71,-73,78,-58,64,-68,69,-68,64,-67,70,-75,47,-69,59,-77,41,-72,55,-75,35,-68,47,-71,34,-70,48,-63,33,-67,47,-61,23,-63,45,-53,16,-61,36,-41,16,-58,44,-35,8,-57,33,-33,9,-52,34),dim=c(4,61),dimnames=list(c('econVl','prijsVl','econWa','prijsWa'),1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('econVl','prijsVl','econWa','prijsWa'),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/1b7am1257953591.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] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 1.2656, p-value = 0.2057
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.1131589 

> 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/2xfpz1257953591.tab") 
> 
> system("convert tmp/1b7am1257953591.ps tmp/1b7am1257953591.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.506   0.216   0.673