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(15.2
+ ,20
+ ,20
+ ,20
+ ,15.4
+ ,15.5
+ ,30.1
+ ,19.5
+ ,10.8
+ ,13.8
+ ,4.4
+ ,19.5
+ ,27.2
+ ,39.1
+ ,24.4
+ ,24.5
+ ,12.8
+ ,11.9
+ ,21
+ ,17.3
+ ,12
+ ,16.5
+ ,2.4
+ ,15.8
+ ,22.3
+ ,39.1
+ ,44.4
+ ,28.2
+ ,15.5
+ ,4.7
+ ,8.5
+ ,18.1
+ ,24.1
+ ,18.6
+ ,6.6
+ ,26.9
+ ,18.1
+ ,25
+ ,46.4
+ ,11.6
+ ,23
+ ,24.1
+ ,2.9
+ ,16.4
+ ,22.5
+ ,20.5
+ ,26
+ ,22.6
+ ,25.4
+ ,20.5
+ ,44.4
+ ,30.3
+ ,22.4
+ ,17.8
+ ,9.9
+ ,15.3
+ ,16.9
+ ,14.6
+ ,14.7
+ ,13.1
+ ,19.8
+ ,22
+ ,37.1
+ ,24
+ ,14.4
+ ,20.5
+ ,-12.2
+ ,14.6
+ ,18.8
+ ,23.1
+ ,33
+ ,25
+ ,16.4
+ ,12.8
+ ,26.5
+ ,19.7
+ ,15
+ ,15.3
+ ,19
+ ,18.7
+ ,16.1
+ ,32
+ ,30.6
+ ,7.4
+ ,14.7
+ ,11
+ ,3.4
+ ,30.7
+ ,10.1
+ ,21.8
+ ,40.8
+ ,28.3
+ ,22
+ ,25.1
+ ,28.5
+ ,14.8
+ ,12.7
+ ,16.4
+ ,1
+ ,17.5
+ ,16.7
+ ,21.2
+ ,28.9
+ ,23.4
+ ,32.6
+ ,33.1
+ ,21.1
+ ,24.6
+ ,17.6
+ ,13.3
+ ,10.6
+ ,16.9
+ ,22.4
+ ,16.1
+ ,33.2
+ ,22.9
+ ,34.3
+ ,25.8
+ ,34.5
+ ,20
+ ,21.1
+ ,17
+ ,-0.4
+ ,23.5
+ ,27.9
+ ,24.8
+ ,30.3
+ ,18.3
+ ,26
+ ,14
+ ,17.9
+ ,19.7
+ ,17.5
+ ,21.2
+ ,8.1
+ ,21.4
+ ,23.6
+ ,27.9
+ ,29.5
+ ,14.6
+ ,24.6
+ ,14
+ ,22.2
+ ,20.3
+ ,12.4
+ ,12.8
+ ,-6.9
+ ,11.7
+ ,18.2
+ ,28
+ ,20.7
+ ,25.8
+ ,9.8
+ ,17.8
+ ,30.9
+ ,17.5
+ ,17.6
+ ,21.1
+ ,5.9
+ ,22.1
+ ,16.2
+ ,31.1
+ ,28.6
+ ,22.2
+ ,13.6
+ ,12.6
+ ,20
+ ,16.7
+ ,11.9
+ ,16.6
+ ,37.2
+ ,23.2
+ ,16
+ ,25.4
+ ,-2.6
+ ,16.6
+ ,13.9
+ ,8.8
+ ,32.9
+ ,19.5
+ ,10.6
+ ,25.7
+ ,14.2
+ ,16.3
+ ,24.1
+ ,25.3
+ ,25.7
+ ,29.7
+ ,18.5
+ ,17.6
+ ,6.9
+ ,22.6
+ ,24.2
+ ,28
+ ,57.2
+ ,22.5
+ ,22.6
+ ,16.8
+ ,20.3
+ ,18.3
+ ,31.4
+ ,20.8
+ ,10.1
+ ,24.8
+ ,17.6
+ ,19
+ ,13.4
+ ,17.5
+ ,34.3
+ ,20.3
+ ,36.7
+ ,19.6
+ ,29.3
+ ,18.1
+ ,-2.4
+ ,25
+ ,28.8
+ ,22.4
+ ,19.2
+ ,13.3
+ ,27.3
+ ,13.3
+ ,45.4
+ ,21.7
+ ,25.9
+ ,30
+ ,5.8
+ ,23.3
+ ,35.6
+ ,2.8
+ ,32
+ ,16.3
+ ,27.4
+ ,25.1
+ ,7.6
+ ,16.6
+ ,21.1
+ ,14.4
+ ,12.6
+ ,23.2
+ ,30.2
+ ,36.9
+ ,32.4
+ ,21.2
+ ,27.6
+ ,15.1
+ ,20.7
+ ,20.2
+ ,24.6
+ ,10.5
+ ,9.1
+ ,17.1
+ ,26.9
+ ,16.2
+ ,34.4
+ ,15
+ ,21.1
+ ,19.3
+ ,2.7
+ ,20.6
+ ,19.9
+ ,22.4
+ ,38.7
+ ,17.6
+ ,25.5
+ ,18.3
+ ,3.5
+ ,18.2
+ ,23.7
+ ,15.2
+ ,26.6
+ ,24.5
+ ,14.6
+ ,15.7
+ ,25.4
+ ,14.5)
+ ,dim=c(4
+ ,69)
+ ,dimnames=list(c('Textiel'
+ ,'kleding'
+ ,'leer'
+ ,'vervaardiging')
+ ,1:69))
>  y <- array(NA,dim=c(4,69),dimnames=list(c('Textiel','kleding','leer','vervaardiging'),1:69))
>  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/1u65m1196336091.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 
> 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 = 2.0621, p-value = 0.0392
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.1704497 

> 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/2s8m11196336091.tab") 
> 
> system("convert tmp/1u65m1196336091.ps tmp/1u65m1196336091.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.789   0.232   1.017