R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(31,45,22,20,26,44,22,16,18,45,20,10,26,45,21,12,26,45,20,10,27,42,21,12,22,43,21,12,24,50,21,13,31,46,19,17,23,46,21,12,31,45,21,15,37,49,22,12,42,46,19,14,43,45,24,19,48,49,22,16,46,47,22,17,45,45,22,16,52,48,24,19,46,51,22,17,53,48,23,17,47,49,24,20,43,51,21,18,44,54,20,16,48,52,22,19,48,52,23,18,51,53,23,23,57,51,22,20,50,55,20,20,38,53,21,15,31,51,21,17,31,52,20,16,37,54,20,15,26,58,17,10,36,57,18,13,41,52,19,10,44,50,19,19,50,53,20,21,49,50,21,17,48,50,20,16,50,51,21,17,52,53,19,14,53,49,22,18,59,54,20,17,53,57,18,14,59,58,16,15,61,56,17,16,62,60,18,11,54,55,19,15,62,54,18,13,63,52,20,17,63,55,21,16,71,56,18,9,65,54,19,17,65,53,19,15,61,59,19,12,59,62,21,12,53,63,19,12,55,64,19,12,39,75,17,4,36,77,16,7,29,79,16,4,31,77,17,3,30,82,16,3,23,83,15,0,19,81,16,5,14,78,16,3,3,79,16,4,6,79,18,3,13,73,19,10,3,72,16,4,6,67,16,1,0,67,16,1),dim=c(4,72),dimnames=list(c('E.S','P.T','E.S.G','SP'),1:72))
>  y <- array(NA,dim=c(4,72),dimnames=list(c('E.S','P.T','E.S.G','SP'),1:72))
>  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/rcomp/tmp/16u371257938280.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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 = 0.463, p-value = 0.6434
alternative hypothesis: true tau is not equal to 0 
sample estimates:
     tau 
0.038215 

> 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/rcomp/tmp/26vud1257938280.tab") 
> 
> system("convert tmp/16u371257938280.ps tmp/16u371257938280.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.480   0.340   0.796