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(12.6,18,15.7,16,13.2,19,20.3,18,12.8,23,8,20,0.9,20,3.6,15,14.1,17,21.7,16,24.5,15,18.9,10,13.9,13,11,10,5.8,19,15.5,21,22.4,17,31.7,16,30.3,17,31.4,14,20.2,18,19.7,17,10.8,14,13.2,15,15.1,16,15.6,11,15.5,15,12.7,13,10.9,17,10,16,9.1,9,10.3,17,16.9,15,22,12,27.6,12,28.9,12,31,12,32.9,4,38.1,7,28.8,4,29,3,21.8,3,28.8,0,25.6,5,28.2,3,20.2,4,17.9,3,16.3,10,13.2,4,8.1,1,4.5,1,-0.1,8,0,5,2.3,4,2.8,0,2.9,2,0.1,7,3.5,6,8.6,9,13.8,10),dim=c(2,60),dimnames=list(c('Rvnp','Svdg'),1:60))
>  y <- array(NA,dim=c(2,60),dimnames=list(c('Rvnp','Svdg'),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'
> 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/1rl9r1261227930.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 = -0.1598, p-value = 0.873
alternative hypothesis: true tau is not equal to 0 
sample estimates:
        tau 
-0.01445792 

> 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/2f3bl1261227930.tab") 
> try(system("convert tmp/1rl9r1261227930.ps tmp/1rl9r1261227930.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.393   0.174   0.543