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(104.2
+ ,97.4
+ ,1.2
+ ,103.2
+ ,97
+ ,1.6
+ ,112.7
+ ,105.4
+ ,1.7
+ ,106.4
+ ,102.7
+ ,1.5
+ ,102.6
+ ,98.1
+ ,0.9
+ ,110.6
+ ,104.5
+ ,1.5
+ ,95.2
+ ,87.4
+ ,1.4
+ ,89
+ ,89.9
+ ,1.6
+ ,112.5
+ ,109.8
+ ,1.7
+ ,116.8
+ ,111.7
+ ,1.4
+ ,107.2
+ ,98.6
+ ,1.8
+ ,113.6
+ ,96.9
+ ,1.7
+ ,101.8
+ ,95.1
+ ,1.4
+ ,102.6
+ ,97
+ ,1.2
+ ,122.7
+ ,112.7
+ ,1
+ ,110.3
+ ,102.9
+ ,1.7
+ ,110.5
+ ,97.4
+ ,2.4
+ ,121.6
+ ,111.4
+ ,2
+ ,100.3
+ ,87.4
+ ,2.1
+ ,100.7
+ ,96.8
+ ,2
+ ,123.4
+ ,114.1
+ ,1.8
+ ,127.1
+ ,110.3
+ ,2.7
+ ,124.1
+ ,103.9
+ ,2.3
+ ,131.2
+ ,101.6
+ ,1.9
+ ,111.6
+ ,94.6
+ ,2
+ ,114.2
+ ,95.9
+ ,2.3
+ ,130.1
+ ,104.7
+ ,2.8
+ ,125.9
+ ,102.8
+ ,2.4
+ ,119
+ ,98.1
+ ,2.3
+ ,133.8
+ ,113.9
+ ,2.7
+ ,107.5
+ ,80.9
+ ,2.7
+ ,113.5
+ ,95.7
+ ,2.9
+ ,134.4
+ ,113.2
+ ,3
+ ,126.8
+ ,105.9
+ ,2.2
+ ,135.6
+ ,108.8
+ ,2.3
+ ,139.9
+ ,102.3
+ ,2.8
+ ,129.8
+ ,99
+ ,2.8
+ ,131
+ ,100.7
+ ,2.8
+ ,153.1
+ ,115.5
+ ,2.2
+ ,134.1
+ ,100.7
+ ,2.6
+ ,144.1
+ ,109.9
+ ,2.8
+ ,155.9
+ ,114.6
+ ,2.5
+ ,123.3
+ ,85.4
+ ,2.4
+ ,128.1
+ ,100.5
+ ,2.3
+ ,144.3
+ ,114.8
+ ,1.9
+ ,153
+ ,116.5
+ ,1.7
+ ,149.9
+ ,112.9
+ ,2
+ ,150.9
+ ,102
+ ,2.1
+ ,141
+ ,106
+ ,1.7
+ ,138.9
+ ,105.3
+ ,1.8
+ ,157.4
+ ,118.8
+ ,1.8
+ ,142.9
+ ,106.1
+ ,1.8
+ ,151.7
+ ,109.3
+ ,1.3
+ ,161
+ ,117.2
+ ,1.3
+ ,138.5
+ ,92.5
+ ,1.3
+ ,135.9
+ ,104.2
+ ,1.2
+ ,151.5
+ ,112.5
+ ,1.4
+ ,164
+ ,122.4
+ ,2.2
+ ,159.1
+ ,113.3
+ ,2.9
+ ,157
+ ,100
+ ,3.1
+ ,142.1
+ ,110.7
+ ,3.5
+ ,144.8
+ ,112.8
+ ,3.6
+ ,152.1
+ ,109.8
+ ,4.4
+ ,154.9
+ ,117.3
+ ,4.1
+ ,148.4
+ ,109.1
+ ,5.1
+ ,157.3
+ ,115.9
+ ,5.8
+ ,145.7
+ ,96
+ ,5.9
+ ,133.8
+ ,99.8
+ ,5.4
+ ,156.8
+ ,116.8
+ ,5.5)
+ ,dim=c(3
+ ,69)
+ ,dimnames=list(c('Omzet'
+ ,'Productie'
+ ,'HICP')
+ ,1:69))
>  y <- array(NA,dim=c(3,69),dimnames=list(c('Omzet','Productie','HICP'),1:69))
>  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/1ojpu1261062729.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] 3
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 6.6098, p-value = 3.849e-11
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.5448337 

> 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/20f5a1261062729.tab") 
> 
> try(system("convert tmp/1ojpu1261062729.ps tmp/1ojpu1261062729.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.469   0.196   0.531