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(-122,-14.70,-26,-14.30,9,-17.10,-99,3.30,-312,-4.30,111,-4.70,139,1.90,-648,-4.30,213,2.60,153,5.70,175,-2.50,841,2.10,87,0.10,381,-0.30,-284,-6.50,-281,-4.80,-77,-3.90,-328,-5.60,-165,0.80,12,-8.90,-406,-2.90,-519,-7.70,-351,-5.30,-605,6.00,-283,-3.10,-571,-1.80,15,14.40,-368,8.20,-335,0.30,-322,14.20,135,6.00,218,18.10,-57,9.40,-13,7.10,302,6.90,-342,6.10,79,7.70,104,7.20,108,0.20,442,-1.00,244,0.50,343,10.70,-45,-7.00,218,-3.00,200,2.60,-97,-8.90,-1028,9.30,-391,3.50),dim=c(2,48),dimnames=list(c('Verkeersongevallen','Ind.Nijverheid'),1:48))
>  y <- array(NA,dim=c(2,48),dimnames=list(c('Verkeersongevallen','Ind.Nijverheid'),1:48))
>  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/1hb5i1197905752.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 message:
In cor.test.default(x, y, method = "kendall") :
  Cannot compute exact p-value with ties
> 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] 2
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 1.0045, p-value = 0.3151
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.1003999 

Warning message:
In cor.test.default(y[1, ], y[2, ], method = "kendall") :
  Cannot compute exact p-value with ties
> 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)
+ }
+ }
Warning message:
In cor.test.default(y[i, ], y[j, ], method = "kendall") :
  Cannot compute exact p-value with ties
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2ygge1197905752.tab") 
> 
> system("convert tmp/1hb5i1197905752.ps tmp/1hb5i1197905752.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.642   0.178   0.700