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(16,31,41,12,19,35,35,12,21,38,34,12,19,36,36,12,18,33,39,12,16,29,40,11,22,37,30,12,18,28,33,11,20,32,30,12,20,31,32,11,16,24,41,13,15,25,40,10,16,27,41,11,16,27,40,12,19,29,39,12,20,33,34,11,17,26,34,9,11,16,46,8,11,15,45,9,11,13,44,9,12,18,40,8,8,8,39,6,14,21,37,10,13,21,39,10,17,25,35,11,21,28,26,12,20,27,26,12,17,24,33,11,18,24,27,11,16,24,30,9,20,28,26,11,20,31,27,11,20,26,18,11,20,28,19,9,24,34,13,12,23,33,14,12,14,24,41,10,21,30,21,12,23,31,16,11,21,28,17,10,24,35,9,11,24,33,14,11,23,34,14,10,21,31,16,9,20,21,11,8,20,21,10,9,21,22,6,8,14,9,9,5,18,15,5,6,16,13,7,4,19,17,2,7,19,19,0,4,15,14,8,4,13,8,13,4,11,3,11,0,9,0,19,2,11,10,23,4,13,12,23,6,5,9,43,1,0,9,59,2),dim=c(4,60),dimnames=list(c('IVHC','AES','WIN','FSG'),1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('IVHC','AES','WIN','FSG'),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'
> #'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/1qhyw1229594117.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 = 6.7497, p-value = 1.481e-11
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6255334 

> 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/2cgc31229594117.tab") 
> 
> system("convert tmp/1qhyw1229594117.ps tmp/1qhyw1229594117.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.487   0.215   0.554