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(4138,3.58,4634,3.52,3996,3.45,4308,3.36,4143,3.27,4429,3.21,5219,3.19,4929,3.16,5761,3.12,5592,3.06,4163,3.01,4962,2.98,5208,2.97,4755,3.02,4491,3.07,5732,3.18,5731,3.29,5040,3.43,6102,3.61,4904,3.74,5369,3.87,5578,3.88,4619,4.09,4731,4.19,5011,4.2,5299,4.29,4146,4.37,4625,4.47,4736,4.61,4219,4.65,5116,4.69,4205,4.82,4121,4.86,5103,4.87,4300,5.01,4578,5.03,3809,5.13,5526,5.18,4248,5.21,3830,5.26,4430,5.25,4837,5.2,4408,5.16,4569,5.19,4104,5.39,4807,5.58,3944,5.76,3794,5.89,4390,5.98,4041,6.02,4104,5.62,4823,4.87,3150,4.24,3502,4.02,3909,3.74,3997,3.45,3667,3.34,4199,3.21,3963,3.12,3895,3.04),dim=c(2,60),dimnames=list(c('bverg','rente'),1:60))
>  y <- array(NA,dim=c(2,60),dimnames=list(c('bverg','rente'),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/1rx6t1260702034.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] 2
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = -2.0922, p-value = 0.03642
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
-0.1856255 

> 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/2usrb1260702034.tab") 
> 
> try(system("convert tmp/1rx6t1260702034.ps tmp/1rx6t1260702034.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.405   0.182   0.480