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(65.4
+ ,97.4
+ ,104.2
+ ,72.2
+ ,97
+ ,103.2
+ ,80.4
+ ,105.4
+ ,112.7
+ ,77.7
+ ,102.7
+ ,106.4
+ ,76.5
+ ,98.1
+ ,102.6
+ ,100.1
+ ,104.5
+ ,110.6
+ ,73.5
+ ,87.4
+ ,95.2
+ ,77.3
+ ,89.9
+ ,89
+ ,98.6
+ ,109.8
+ ,112.5
+ ,112.4
+ ,111.7
+ ,116.8
+ ,77.3
+ ,98.6
+ ,107.2
+ ,139.3
+ ,96.9
+ ,113.6
+ ,75.4
+ ,95.1
+ ,101.8
+ ,64.2
+ ,97
+ ,102.6
+ ,86.8
+ ,112.7
+ ,122.7
+ ,79.1
+ ,102.9
+ ,110.3
+ ,71.7
+ ,97.4
+ ,110.5
+ ,100
+ ,111.4
+ ,121.6
+ ,82.1
+ ,87.4
+ ,100.3
+ ,74.8
+ ,96.8
+ ,100.7
+ ,92.3
+ ,114.1
+ ,123.4
+ ,83.3
+ ,110.3
+ ,127.1
+ ,83.7
+ ,103.9
+ ,124.1
+ ,148
+ ,101.6
+ ,131.2
+ ,71.4
+ ,94.6
+ ,111.6
+ ,71.2
+ ,95.9
+ ,114.2
+ ,84.6
+ ,104.7
+ ,130.1
+ ,80.9
+ ,102.8
+ ,125.9
+ ,80.6
+ ,98.1
+ ,119
+ ,105.5
+ ,113.9
+ ,133.8
+ ,79.2
+ ,80.9
+ ,107.5
+ ,78.4
+ ,95.7
+ ,113.5
+ ,92.6
+ ,113.2
+ ,134.4
+ ,88.3
+ ,105.9
+ ,126.8
+ ,98.2
+ ,108.8
+ ,135.6
+ ,157.4
+ ,102.3
+ ,139.9
+ ,73.9
+ ,99
+ ,129.8
+ ,80.9
+ ,100.7
+ ,131
+ ,93
+ ,115.5
+ ,153.1
+ ,84.9
+ ,100.7
+ ,134.1
+ ,96.2
+ ,109.9
+ ,144.1
+ ,106.5
+ ,114.6
+ ,155.9
+ ,81.7
+ ,85.4
+ ,123.3
+ ,82.9
+ ,100.5
+ ,128.1
+ ,96
+ ,114.8
+ ,144.3
+ ,92.6
+ ,116.5
+ ,153
+ ,116.5
+ ,112.9
+ ,149.9
+ ,155
+ ,102
+ ,150.9
+ ,95.1
+ ,106
+ ,141
+ ,86.2
+ ,105.3
+ ,138.9
+ ,105
+ ,118.8
+ ,157.4
+ ,89.7
+ ,106.1
+ ,142.9
+ ,97.1
+ ,109.3
+ ,151.7
+ ,120.8
+ ,117.2
+ ,161
+ ,92.2
+ ,92.5
+ ,138.5
+ ,98.8
+ ,104.2
+ ,135.9
+ ,104.1
+ ,112.5
+ ,151.5
+ ,106.5
+ ,122.4
+ ,164
+ ,113.4
+ ,113.3
+ ,159.1
+ ,192.4
+ ,100
+ ,157
+ ,103.6
+ ,110.7
+ ,142.1
+ ,97.6
+ ,112.8
+ ,144.8
+ ,99.9
+ ,109.8
+ ,152.1
+ ,106.4
+ ,117.3
+ ,154.9
+ ,104.8
+ ,109.1
+ ,148.4
+ ,114.1
+ ,115.9
+ ,157.3
+ ,93
+ ,96
+ ,145.7
+ ,90.2
+ ,99.8
+ ,133.8
+ ,108.8
+ ,116.8
+ ,156.8
+ ,108.7
+ ,115.7
+ ,159.4
+ ,125.2
+ ,99.4
+ ,138.3
+ ,180.4
+ ,94.3
+ ,142.7
+ ,91.6
+ ,91
+ ,124.1
+ ,87.1
+ ,93.2
+ ,118.2
+ ,98.3
+ ,103.1
+ ,136.3)
+ ,dim=c(3
+ ,75)
+ ,dimnames=list(c('Investeringen'
+ ,'Productie'
+ ,'Omzet')
+ ,1:75))
>  y <- array(NA,dim=c(3,75),dimnames=list(c('Investeringen','Productie','Omzet'),1:75))
>  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/1qwtt1261057046.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 = 5.1787, p-value = 2.234e-07
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.4087380 

> 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/2asux1261057046.tab") 
> 
> try(system("convert tmp/1qwtt1261057046.ps tmp/1qwtt1261057046.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.451   0.192   0.515