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(96.8
+ ,108.8
+ ,610763
+ ,4.2
+ ,114.1
+ ,128.4
+ ,612613
+ ,4
+ ,110.3
+ ,121.1
+ ,611324
+ ,4.9
+ ,103.9
+ ,119.5
+ ,594167
+ ,4.6
+ ,101.6
+ ,128.7
+ ,595454
+ ,4.3
+ ,94.6
+ ,108.7
+ ,590865
+ ,4.3
+ ,95.9
+ ,105.5
+ ,589379
+ ,4.6
+ ,104.7
+ ,119.8
+ ,584428
+ ,5.1
+ ,102.8
+ ,111.3
+ ,573100
+ ,4.8
+ ,98.1
+ ,110.6
+ ,567456
+ ,4.5
+ ,113.9
+ ,120.1
+ ,569028
+ ,4.9
+ ,80.9
+ ,97.5
+ ,620735
+ ,5.1
+ ,95.7
+ ,107.7
+ ,628884
+ ,5.1
+ ,113.2
+ ,127.3
+ ,628232
+ ,5.2
+ ,105.9
+ ,117.2
+ ,612117
+ ,4.5
+ ,108.8
+ ,119.8
+ ,595404
+ ,4.6
+ ,102.3
+ ,116.2
+ ,597141
+ ,4.9
+ ,99
+ ,111
+ ,593408
+ ,4.6
+ ,100.7
+ ,112.4
+ ,590072
+ ,4.4
+ ,115.5
+ ,130.6
+ ,579799
+ ,3.7
+ ,100.7
+ ,109.1
+ ,574205
+ ,4
+ ,109.9
+ ,118.8
+ ,572775
+ ,4.2
+ ,114.6
+ ,123.9
+ ,572942
+ ,3.9
+ ,85.4
+ ,101.6
+ ,619567
+ ,3.6
+ ,100.5
+ ,112.8
+ ,625809
+ ,3.6
+ ,114.8
+ ,128
+ ,619916
+ ,3.2
+ ,116.5
+ ,129.6
+ ,587625
+ ,3.2
+ ,112.9
+ ,125.8
+ ,565742
+ ,3.5
+ ,102
+ ,119.5
+ ,557274
+ ,3.6
+ ,106
+ ,115.7
+ ,560576
+ ,3.7
+ ,105.3
+ ,113.6
+ ,548854
+ ,3.8
+ ,118.8
+ ,129.7
+ ,531673
+ ,3.8
+ ,106.1
+ ,112
+ ,525919
+ ,3.8
+ ,109.3
+ ,116.8
+ ,511038
+ ,3.3
+ ,117.2
+ ,127
+ ,498662
+ ,3.3
+ ,92.5
+ ,112.1
+ ,555362
+ ,3.4
+ ,104.2
+ ,114.2
+ ,564591
+ ,3.1
+ ,112.5
+ ,121.1
+ ,541657
+ ,3.5
+ ,122.4
+ ,131.6
+ ,527070
+ ,4.2
+ ,113.3
+ ,125
+ ,509846
+ ,4.9
+ ,100
+ ,120.4
+ ,514258
+ ,5.1
+ ,110.7
+ ,117.7
+ ,516922
+ ,5.5
+ ,112.8
+ ,117.5
+ ,507561
+ ,5.6
+ ,109.8
+ ,120.6
+ ,492622
+ ,6.4
+ ,117.3
+ ,127.5
+ ,490243
+ ,6.2
+ ,109.1
+ ,112.3
+ ,469357
+ ,7.2
+ ,115.9
+ ,124.5
+ ,477580
+ ,7.8
+ ,96
+ ,115.2
+ ,528379
+ ,7.9
+ ,99.8
+ ,104.7
+ ,533590
+ ,7.4
+ ,116.8
+ ,130.9
+ ,517945
+ ,7.5
+ ,115.7
+ ,129.2
+ ,506174
+ ,6.7
+ ,99.4
+ ,113.5
+ ,501866
+ ,5.1
+ ,94.3
+ ,125.6
+ ,516141
+ ,4.6
+ ,91
+ ,107.6
+ ,528222
+ ,4.3
+ ,93.2
+ ,107
+ ,532638
+ ,3.9
+ ,103.1
+ ,121.6
+ ,536322
+ ,2.6
+ ,94.1
+ ,110.7
+ ,536535
+ ,2.6
+ ,91.8
+ ,106.3
+ ,523597
+ ,1.6
+ ,102.7
+ ,118.6
+ ,536214
+ ,0.9
+ ,82.6
+ ,104.6
+ ,586570
+ ,0.3
+ ,89.1
+ ,103.5
+ ,596594
+ ,1.2)
+ ,dim=c(4
+ ,61)
+ ,dimnames=list(c('Tot_ind_productie'
+ ,'Tot_prod_consumpgoed'
+ ,'Niet_werkende_werkzoekenden'
+ ,'Nat_Consumptieprijsindex')
+ ,1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('Tot_ind_productie','Tot_prod_consumpgoed','Niet_werkende_werkzoekenden','Nat_Consumptieprijsindex'),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'
> 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/1fmj31260973738.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 = 7.8166, p-value = 5.329e-15
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6870898 

> 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/2esca1260973738.tab") 
> 
> try(system("convert tmp/1fmj31260973738.ps tmp/1fmj31260973738.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.514   0.223   1.161