R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(7.9
+ ,-1.1
+ ,-0.8
+ ,-0.3
+ ,6.1
+ ,-0.8
+ ,-0.4
+ ,0.3
+ ,4.3
+ ,-0.2
+ ,-0.4
+ ,-0.3
+ ,4
+ ,0.4
+ ,-0.3
+ ,-0.1
+ ,3.4
+ ,0.1
+ ,-0.4
+ ,0.1
+ ,4.5
+ ,0.5
+ ,-0.1
+ ,-0.1
+ ,3.5
+ ,-1.4
+ ,0.2
+ ,-0.3
+ ,3.9
+ ,-1.4
+ ,0.4
+ ,-0.3
+ ,2.1
+ ,-0.9
+ ,-0.1
+ ,0.7
+ ,2.4
+ ,-0.1
+ ,0.3
+ ,0.6
+ ,2.4
+ ,0.2
+ ,0.4
+ ,1.5
+ ,2.5
+ ,-0.2
+ ,0.3
+ ,1.1
+ ,-0.7
+ ,-2
+ ,0.4
+ ,0.2
+ ,-0.5
+ ,-2.4
+ ,0.4
+ ,-0.2
+ ,-0.2
+ ,-2.8
+ ,0.9
+ ,1
+ ,-0.1
+ ,-3.5
+ ,0
+ ,0.5
+ ,0
+ ,-3.2
+ ,0
+ ,0.5
+ ,0
+ ,-3.4
+ ,0
+ ,-0.1
+ ,0
+ ,-1.2
+ ,-1.4
+ ,-0.9
+ ,0
+ ,-0.7
+ ,0
+ ,0.2
+ ,0
+ ,-0.1
+ ,-0.2
+ ,-0.5
+ ,0
+ ,0.1
+ ,-0.2
+ ,-0.5
+ ,0
+ ,0.6
+ ,0.8
+ ,-0.9
+ ,0.2
+ ,0.8
+ ,0.5
+ ,-0.8
+ ,4.3
+ ,3
+ ,0.2
+ ,0
+ ,3.3
+ ,3.2
+ ,-0.5
+ ,0.4
+ ,3.3
+ ,3.3
+ ,-0.5
+ ,-1.5
+ ,7.3
+ ,3.5
+ ,1.1
+ ,-1.1
+ ,9.3
+ ,3.8
+ ,0.3
+ ,-1
+ ,10.4
+ ,3.8
+ ,-0.8
+ ,-1.6
+ ,10.4
+ ,3.6
+ ,1.2
+ ,1.4
+ ,10.4
+ ,3
+ ,-0.8
+ ,0.5
+ ,11.1
+ ,2.1
+ ,0
+ ,0.2
+ ,12.7
+ ,1.1
+ ,0.2
+ ,-2.4
+ ,14.7
+ ,0.6
+ ,-0.5
+ ,-2.6
+ ,14.5
+ ,0.5
+ ,-0.4
+ ,-2.7
+ ,15.2
+ ,0
+ ,-0.6
+ ,-2.7
+ ,14.8
+ ,-0.1
+ ,-0.6
+ ,-3.7
+ ,10.3
+ ,-0.1
+ ,-0.9
+ ,-2.1
+ ,3.5
+ ,-0.8
+ ,-0.8
+ ,-2.2
+ ,4.4
+ ,-0.3
+ ,-0.3
+ ,-2.2
+ ,4
+ ,0
+ ,0.4
+ ,-0.5
+ ,4.4
+ ,0.5
+ ,0
+ ,-3.7
+ ,2.4
+ ,0.5
+ ,1
+ ,-3.3
+ ,1.1
+ ,0.3
+ ,-0.5
+ ,-3.3
+ ,-0.5
+ ,0.6
+ ,1.1
+ ,-0.8
+ ,-2.5
+ ,0.8
+ ,0.9
+ ,2.4
+ ,-2.5
+ ,1.1
+ ,1.3
+ ,2.3
+ ,1.1
+ ,1.2
+ ,0.9
+ ,0.1
+ ,3.9
+ ,1.2
+ ,3.2
+ ,4.6
+ ,8.4
+ ,1.1
+ ,3
+ ,4.4
+ ,10
+ ,2.1
+ ,3
+ ,4
+ ,7.1
+ ,2.5
+ ,3.2
+ ,3.2
+ ,11.5
+ ,2.3
+ ,3.5
+ ,2.9
+ ,7.4
+ ,2
+ ,3.1
+ ,4
+ ,5.3
+ ,3.1
+ ,2.6
+ ,4.5
+ ,9.3
+ ,3.7
+ ,2.8
+ ,4.5
+ ,9.3
+ ,4
+ ,1
+ ,4.5
+ ,10.5
+ ,4
+ ,0.8
+ ,1.8
+ ,10.5
+ ,4.5
+ ,0.6
+ ,1.5
+ ,2.1
+ ,4.9
+ ,2.1
+ ,4)
+ ,dim=c(4
+ ,61)
+ ,dimnames=list(c('Energie'
+ ,'Voeding'
+ ,'Transport'
+ ,'Textiel
')
+ ,1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('Energie','Voeding','Transport','Textiel
'),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: Wessa P., (2007), Multivariate Correlation Matrix (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_pairs.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method='kendall')
+ r <- round(rr$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/1rkeh1196248509.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)
Warning messages:
1: In strwidth(labels, "user") : font width unknown for character 0xd
2: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
3: In text.default(x, y, txt, cex = cex, font = font) :
  font metrics unknown for character 0xd
4: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
> dev.off()
null device 
          1 
> 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 = 3.6039, p-value = 0.0003134
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.3220074 

> 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/2j61r1196248510.tab") 
> 
> system("convert tmp/1rkeh1196248509.ps tmp/1rkeh1196248509.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.775   0.227   1.465