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(24,33,49,24,23,34,48,22,24,36,49,25,24,36,48,24,27,38,47,29,28,42,42,26,25,35,42,26,19,25,54,21,19,24,53,23,19,22,52,22,20,27,48,21,16,17,47,16,22,30,45,19,21,30,47,16,25,34,43,25,29,37,34,27,28,36,34,23,25,33,41,22,26,33,35,23,24,33,38,20,28,37,34,24,28,40,35,23,28,35,26,20,28,37,27,21,32,43,21,22,31,42,22,17,22,33,49,21,29,39,29,19,31,40,24,23,29,37,25,22,32,44,17,15,32,42,22,23,31,43,22,21,29,40,24,18,28,30,19,18,28,30,18,18,29,31,14,18,22,18,17,10,26,24,13,13,24,22,15,10,27,26,10,9,27,28,8,9,23,23,16,6,21,17,21,11,19,12,19,9,17,9,27,10,19,19,31,9,21,21,31,16,13,18,51,10,8,18,67,7,5,15,75,7,10,24,78,14,6,18,83,11,6,19,81,10,8,30,81,6,11,33,80,8,12,35,79,13,13,36,75,12,19,47,67,15,19,46,67,16,18,43,67,16),dim=c(4,61),dimnames=list(c('I.C.','E.S','W.B','S.'),1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('I.C.','E.S','W.B','S.'),1:61))
>  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/1fbb61257938239.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] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 5.5602, p-value = 2.694e-08
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.5071492 

> 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/2y8yi1257938239.tab") 
> 
> system("convert tmp/1fbb61257938239.ps tmp/1fbb61257938239.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.475   0.206   1.573