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(36
+ ,29
+ ,114.1
+ ,4.3
+ ,24
+ ,31
+ ,110.3
+ ,3.9
+ ,10
+ ,31
+ ,103.9
+ ,4
+ ,17
+ ,33
+ ,101.6
+ ,4.3
+ ,14
+ ,37
+ ,94.6
+ ,4.8
+ ,61
+ ,30
+ ,95.9
+ ,4.4
+ ,57
+ ,20
+ ,104.7
+ ,4.3
+ ,34
+ ,19
+ ,102.8
+ ,4.7
+ ,53
+ ,17
+ ,98.1
+ ,4.7
+ ,11
+ ,22
+ ,113.9
+ ,4.9
+ ,56
+ ,12
+ ,80.9
+ ,5
+ ,51
+ ,25
+ ,95.7
+ ,4.2
+ ,36
+ ,25
+ ,113.2
+ ,4.3
+ ,33
+ ,29
+ ,105.9
+ ,4.8
+ ,16
+ ,32
+ ,108.8
+ ,4.8
+ ,12
+ ,31
+ ,102.3
+ ,4.8
+ ,21
+ ,28
+ ,99
+ ,4.2
+ ,63
+ ,28
+ ,100.7
+ ,4.6
+ ,55
+ ,28
+ ,115.5
+ ,4.8
+ ,47
+ ,32
+ ,100.7
+ ,4.5
+ ,48
+ ,35
+ ,109.9
+ ,4.4
+ ,12
+ ,30
+ ,114.6
+ ,4.3
+ ,48
+ ,32
+ ,85.4
+ ,3.9
+ ,59
+ ,38
+ ,100.5
+ ,3.7
+ ,41
+ ,37
+ ,114.8
+ ,4
+ ,39
+ ,28
+ ,116.5
+ ,4.1
+ ,20
+ ,34
+ ,112.9
+ ,3.7
+ ,38
+ ,35
+ ,102
+ ,3.8
+ ,49
+ ,32
+ ,106
+ ,3.8
+ ,59
+ ,39
+ ,105.3
+ ,3.8
+ ,36
+ ,37
+ ,118.8
+ ,3.3
+ ,42
+ ,38
+ ,106.1
+ ,3.3
+ ,46
+ ,35
+ ,109.3
+ ,3.3
+ ,8
+ ,25
+ ,117.2
+ ,3.2
+ ,53
+ ,25
+ ,92.5
+ ,3.4
+ ,50
+ ,26
+ ,104.2
+ ,4.2
+ ,47
+ ,13
+ ,112.5
+ ,4.9
+ ,24
+ ,19
+ ,122.4
+ ,5.1
+ ,17
+ ,17
+ ,113.3
+ ,5.5
+ ,45
+ ,21
+ ,100
+ ,5.6
+ ,47
+ ,23
+ ,110.7
+ ,6.4
+ ,27
+ ,18
+ ,112.8
+ ,6.1
+ ,45
+ ,12
+ ,109.8
+ ,7.1
+ ,31
+ ,7
+ ,117.3
+ ,7.8
+ ,45
+ ,4
+ ,109.1
+ ,7.9
+ ,13
+ ,14
+ ,115.9
+ ,7.4
+ ,39
+ ,16
+ ,96
+ ,7.5
+ ,47
+ ,13
+ ,99.8
+ ,6.8
+ ,30
+ ,13
+ ,116.8
+ ,5.2
+ ,14
+ ,10
+ ,115.7
+ ,4.7
+ ,3
+ ,19
+ ,99.4
+ ,4.1
+ ,5
+ ,13
+ ,94.3
+ ,3.9
+ ,43
+ ,14
+ ,91
+ ,2.6
+ ,53
+ ,25
+ ,93.2
+ ,2.7
+ ,35
+ ,28
+ ,103.1
+ ,1.8
+ ,21
+ ,30
+ ,94.1
+ ,1
+ ,34
+ ,31
+ ,91.8
+ ,0.3
+ ,1
+ ,42
+ ,102.7
+ ,1.3
+ ,44
+ ,41
+ ,82.6
+ ,1
+ ,46
+ ,38
+ ,89.1
+ ,1.1)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('Conjunctuurenquête_Bouwnijverheid'
+ ,'consumentenvertrouwen'
+ ,'Industriële_Productie'
+ ,'Consumptieprijsindex')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('Conjunctuurenquête_Bouwnijverheid','consumentenvertrouwen','Industriële_Productie','Consumptieprijsindex'),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/1e6p61258480962.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 = 0.294, p-value = 0.7687
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
0.02660611 

> 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/208sh1258480962.tab") 
> 
> system("convert tmp/1e6p61258480962.ps tmp/1e6p61258480962.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.500   0.208   0.555