R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(5.5,25,27,5.3,27,25,5.2,25,20,5.3,23,19,5.3,24,19,5,24,17,4.8,26,12,4.9,25,13,5.3,24,13,6,24,11,6.2,22,4,6.4,22,8,6.4,22,1,6.4,27,5,6.2,24,4,6.1,24,3,6,22,4,5.9,23,2,6.2,25,8,6.2,23,-2,6.4,21,1,6.8,21,0,6.9,22,1,7,20,7,7,22,1,6.9,22,0,6.7,20,-3,6.6,21,0,6.5,20,3,6.4,21,1,6.5,21,3,6.5,21,2,6.6,19,6,6.7,21,2,6.8,21,3,7.2,22,9,7.6,19,12,7.6,24,8,7.3,22,7,6.4,22,9,6.1,22,11,6.3,24,13,7.1,22,9,7.5,23,9,7.4,24,13,7.1,21,14,6.8,20,16,6.9,22,20,7.2,23,19,7.4,23,18,7.3,22,18,6.9,20,19,6.9,21,16,6.8,21,10,7.1,20,11,7.2,20,17,7.1,17,3,7,18,14,6.9,19,15,7,19,17,7.4,20,20,7.5,21,19,7.5,20,21,7.4,21,17,7.3,19,15,7,22,18,6.7,20,19,6.5,18,16,6.5,16,21,6.5,17,26,6.6,18,23,6.8,19,24,6.9,18,23,6.9,20,19,6.8,21,25,6.8,18,21,6.5,19,19,6.1,19,20,6,19,20,5.9,21,17,5.8,19,25,5.9,19,19,5.9,17,13,6.2,16,15,6.3,16,15,6.2,17,13,6,16,11,5.8,15,9,5.5,16,2,5.5,16,-2,5.7,16,-4,5.8,18,-2),dim=c(3,92),dimnames=list(c('X','Y','Z'),1:92))
>  y <- array(NA,dim=c(3,92),dimnames=list(c('X','Y','Z'),1:92))
>  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/15xzc1228306375.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] 3
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = -0.5379, p-value = 0.5906
alternative hypothesis: true tau is not equal to 0 
sample estimates:
        tau 
-0.04060728 

> 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/2r90s1228306376.tab") 
> 
> system("convert tmp/15xzc1228306375.ps tmp/15xzc1228306375.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.292   0.335   1.362