R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(1.8,-8.0,-2.5,-3.7,1.2,-7.5,0.4,-1.2,19.9,18.5,8.6,11.4,2.5,-1.7,0.3,-0.1,-1.4,-1.5,10.4,0.1,22.0,14.6,10.5,12.3,-6.4,3.3,-1.8,-1.3,13.6,4.5,4.8,5.1,11.3,0.9,3.6,3.6,3.0,-11.1,-4.9,-6.4,-1.1,4.6,6.7,6.9,2.1,-6.7,2.2,0.4,7.2,16.9,3.9,6.6,4.6,3.0,1.4,1.9,-1.6,-3.4,-2.9,-3.2,0.9,10.3,1.0,2.9,1.8,-5.8,5.8,4.1,0.7,1.3,-2.0,-1.6,5.1,10.0,-5.5,-3.1,7.4,-10.6,2.6,0.3,1.5,23.0,-0.1,4.2,-9.0,-3.2,-1.0,-1.5,8.1,17.2,0.9,4.1,4.3,11.5,-5.2,-2.4,1.6,12.9,-0.4,1.9,11.6,18.1,1.0,4.2,10.8,3.5,5.6,5.5,-8.5,4.7,-3.9,-2.7,21.5,50.3,5.7,14.2,5.5,15.4,4.2,6.4,2.5,8.9,5.1,6.3,1.5,8.1,4.3,5.5,8.5,-3.3,2.9,1.8,18.7,30.4,10.8,15.3,13.6,13.6,7.8,9.2,1.7,6.1,3.6,4.3,10.7,-14.7,7.6,4.7,-5.3,-7.4,3.8,2.5,-14.8,-13.8,4.3,1.6,5.1,-10.7,7.3,5.1,-5.9,-25.1,3.9,-0.8,6.0,-13.6,3.2,0.5,9.5,7.3,13.2,13.5,2.1,18.1,6.5,9.4,-3.2,-14.1,-0.8,-3.3,6.3,-11.4,8.1,5.6,-2.1,-18.9,4.2,0.7,5.3,-20.3,1.2,-2.2),dim=c(4,48),dimnames=list(c('INV','DC','NDC','CON'),1:48))
>  y <- array(NA,dim=c(4,48),dimnames=list(c('INV','DC','NDC','CON'),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: 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/freestat/rcomp/tmp/12n3n1229688721.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 messages:
1: In cor.test.default(x, y, method = "kendall") :
  Cannot compute exact p-value with ties
2: In cor.test.default(x, y, method = "kendall") :
  Cannot compute exact p-value with ties
3: In cor.test.default(x, y, method = "kendall") :
  Cannot compute exact p-value with ties
4: In cor.test.default(x, y, method = "kendall") :
  Cannot compute exact p-value with ties
5: In cor.test.default(x, y, method = "kendall") :
  Cannot compute exact p-value with ties
6: In cor.test.default(x, y, method = "kendall") :
  Cannot compute exact p-value with ties
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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 = 2.7827, p-value = 0.00539
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.2783466 

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 messages:
1: In cor.test.default(y[i, ], y[j, ], method = "kendall") :
  Cannot compute exact p-value with ties
2: In cor.test.default(y[i, ], y[j, ], method = "kendall") :
  Cannot compute exact p-value with ties
3: In cor.test.default(y[i, ], y[j, ], method = "kendall") :
  Cannot compute exact p-value with ties
4: In cor.test.default(y[i, ], y[j, ], method = "kendall") :
  Cannot compute exact p-value with ties
5: In cor.test.default(y[i, ], y[j, ], method = "kendall") :
  Cannot compute exact p-value with ties
6: 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/freestat/rcomp/tmp/2bmol1229688721.tab") 
> 
> system("convert tmp/12n3n1229688721.ps tmp/12n3n1229688721.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.676   0.270   0.752