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(114.1
+ ,128.4
+ ,8.9
+ ,49
+ ,110.3
+ ,131.4
+ ,8.6
+ ,51
+ ,103.9
+ ,135.1
+ ,8.3
+ ,54
+ ,101.6
+ ,134
+ ,8.3
+ ,52
+ ,94.6
+ ,144.5
+ ,8.3
+ ,52
+ ,95.9
+ ,147.3
+ ,8.4
+ ,53
+ ,104.7
+ ,150.9
+ ,8.5
+ ,51
+ ,102.8
+ ,148.7
+ ,8.4
+ ,55
+ ,98.1
+ ,141.4
+ ,8.6
+ ,53
+ ,113.9
+ ,138.9
+ ,8.5
+ ,51
+ ,80.9
+ ,139.8
+ ,8.5
+ ,52
+ ,95.7
+ ,145.6
+ ,8.4
+ ,54
+ ,113.2
+ ,147.9
+ ,8.5
+ ,58
+ ,105.9
+ ,148.5
+ ,8.5
+ ,57
+ ,108.8
+ ,151.1
+ ,8.5
+ ,52
+ ,102.3
+ ,157.5
+ ,8.5
+ ,50
+ ,99
+ ,167.5
+ ,8.5
+ ,53
+ ,100.7
+ ,172.3
+ ,8.5
+ ,50
+ ,115.5
+ ,173.5
+ ,8.5
+ ,50
+ ,100.7
+ ,187.5
+ ,8.5
+ ,51
+ ,109.9
+ ,205.5
+ ,8.6
+ ,53
+ ,114.6
+ ,195.1
+ ,8.4
+ ,49
+ ,85.4
+ ,204.5
+ ,8.1
+ ,54
+ ,100.5
+ ,204.5
+ ,8
+ ,57
+ ,114.8
+ ,201.7
+ ,8
+ ,58
+ ,116.5
+ ,207
+ ,8
+ ,56
+ ,112.9
+ ,206.6
+ ,8
+ ,60
+ ,102
+ ,210.6
+ ,7.9
+ ,55
+ ,106
+ ,211.1
+ ,7.8
+ ,54
+ ,105.3
+ ,215
+ ,7.8
+ ,52
+ ,118.8
+ ,223.9
+ ,7.9
+ ,55
+ ,106.1
+ ,238.2
+ ,8.1
+ ,56
+ ,109.3
+ ,238.9
+ ,8
+ ,54
+ ,117.2
+ ,229.6
+ ,7.6
+ ,53
+ ,92.5
+ ,232.2
+ ,7.3
+ ,59
+ ,104.2
+ ,222.1
+ ,7
+ ,62
+ ,112.5
+ ,221.6
+ ,6.8
+ ,63
+ ,122.4
+ ,227.3
+ ,7
+ ,64
+ ,113.3
+ ,221
+ ,7.1
+ ,75
+ ,100
+ ,213.6
+ ,7.2
+ ,77
+ ,110.7
+ ,243.4
+ ,7.1
+ ,79
+ ,112.8
+ ,253.8
+ ,6.9
+ ,77
+ ,109.8
+ ,265.3
+ ,6.7
+ ,82
+ ,117.3
+ ,268.2
+ ,6.7
+ ,83
+ ,109.1
+ ,268.5
+ ,6.6
+ ,81
+ ,115.9
+ ,266.9
+ ,6.9
+ ,78
+ ,96
+ ,268.4
+ ,7.3
+ ,79
+ ,99.8
+ ,250.8
+ ,7.4
+ ,79
+ ,116.8
+ ,231.2
+ ,7.3
+ ,73
+ ,115.7
+ ,192
+ ,7
+ ,72
+ ,99.4
+ ,171.4
+ ,6.9
+ ,67
+ ,94.3
+ ,160
+ ,7.1
+ ,67
+ ,91
+ ,148.1
+ ,7.5
+ ,50
+ ,93.2
+ ,144.8
+ ,7.7
+ ,45
+ ,103.1
+ ,147.2
+ ,7.9
+ ,39
+ ,94.1
+ ,155.1
+ ,7.8
+ ,39
+ ,91.8
+ ,161.1
+ ,7.7
+ ,37
+ ,102.7
+ ,169.9
+ ,7.8
+ ,30
+ ,82.6
+ ,176.2
+ ,7.8
+ ,24
+ ,89.1
+ ,193.1
+ ,7.9
+ ,27
+ ,104.5
+ ,194.9
+ ,8
+ ,19)
+ ,dim=c(4
+ ,61)
+ ,dimnames=list(c('indprodind'
+ ,'prijsgroind'
+ ,'werklgraad'
+ ,'consuprijs')
+ ,1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('indprodind','prijsgroind','werklgraad','consuprijs'),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/10pqk1261342639.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 = 2.788, p-value = 0.005304
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.2449426 

> 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/2m44p1261342639.tab") 
> 
> try(system("convert tmp/10pqk1261342639.ps tmp/10pqk1261342639.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.493   0.201   0.865