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(8.1
+ ,10.9
+ ,1.3
+ ,2.1
+ ,7.7
+ ,10.0
+ ,1.3
+ ,2.8
+ ,7.5
+ ,9.2
+ ,1.2
+ ,2.6
+ ,7.6
+ ,9.2
+ ,1.1
+ ,2.4
+ ,7.8
+ ,9.5
+ ,1.4
+ ,2.5
+ ,7.8
+ ,9.6
+ ,1.2
+ ,2.7
+ ,7.8
+ ,9.5
+ ,1.5
+ ,3.2
+ ,7.5
+ ,9.1
+ ,1.1
+ ,2.8
+ ,7.5
+ ,8.9
+ ,1.3
+ ,2.8
+ ,7.1
+ ,9.0
+ ,1.5
+ ,3.0
+ ,7.5
+ ,10.1
+ ,1.1
+ ,3.1
+ ,7.5
+ ,10.3
+ ,1.4
+ ,3.1
+ ,7.6
+ ,10.2
+ ,1.3
+ ,3.0
+ ,7.7
+ ,9.6
+ ,1.5
+ ,2.4
+ ,7.7
+ ,9.2
+ ,1.6
+ ,2.7
+ ,7.9
+ ,9.3
+ ,1.7
+ ,3.0
+ ,8.1
+ ,9.4
+ ,1.1
+ ,2.7
+ ,8.2
+ ,9.4
+ ,1.6
+ ,2.7
+ ,8.2
+ ,9.2
+ ,1.3
+ ,2.0
+ ,8.2
+ ,9.0
+ ,1.7
+ ,2.4
+ ,7.9
+ ,9.0
+ ,1.6
+ ,2.6
+ ,7.3
+ ,9.0
+ ,1.7
+ ,2.4
+ ,6.9
+ ,9.8
+ ,1.9
+ ,2.3
+ ,6.6
+ ,10.0
+ ,1.8
+ ,2.4
+ ,6.7
+ ,9.8
+ ,1.9
+ ,2.5
+ ,6.9
+ ,9.3
+ ,1.6
+ ,2.6
+ ,7.0
+ ,9.0
+ ,1.5
+ ,2.6
+ ,7.1
+ ,9.0
+ ,1.6
+ ,2.6
+ ,7.2
+ ,9.1
+ ,1.6
+ ,2.7
+ ,7.1
+ ,9.1
+ ,1.7
+ ,2.8
+ ,6.9
+ ,9.1
+ ,2.0
+ ,2.6
+ ,7.0
+ ,9.2
+ ,2.0
+ ,2.6
+ ,6.8
+ ,8.8
+ ,1.9
+ ,2.0
+ ,6.4
+ ,8.3
+ ,1.7
+ ,2.0
+ ,6.7
+ ,8.4
+ ,1.8
+ ,2.1
+ ,6.6
+ ,8.1
+ ,1.9
+ ,1.9
+ ,6.4
+ ,7.7
+ ,1.7
+ ,2.0
+ ,6.3
+ ,7.9
+ ,2.0
+ ,2.5
+ ,6.2
+ ,7.9
+ ,2.1
+ ,2.9
+ ,6.5
+ ,8.0
+ ,2.4
+ ,3.3
+ ,6.8
+ ,7.9
+ ,2.5
+ ,3.5
+ ,6.8
+ ,7.6
+ ,2.5
+ ,3.5
+ ,6.4
+ ,7.1
+ ,2.6
+ ,4.6
+ ,6.1
+ ,6.8
+ ,2.2
+ ,4.4
+ ,5.8
+ ,6.5
+ ,2.5
+ ,5.3
+ ,6.1
+ ,6.9
+ ,2.8
+ ,5.8
+ ,7.2
+ ,8.2
+ ,2.8
+ ,5.9
+ ,7.3
+ ,8.7
+ ,2.9
+ ,5.6
+ ,6.9
+ ,8.3
+ ,3.0
+ ,5.8
+ ,6.1
+ ,7.9
+ ,3.1
+ ,5.5
+ ,5.8
+ ,7.5
+ ,2.9
+ ,4.6
+ ,6.2
+ ,7.8
+ ,2.7
+ ,4.2
+ ,7.1
+ ,8.3
+ ,2.2
+ ,4.0
+ ,7.7
+ ,8.4
+ ,2.5
+ ,3.5
+ ,7.9
+ ,8.2
+ ,2.3
+ ,2.3
+ ,7.7
+ ,7.7
+ ,2.6
+ ,2.2
+ ,7.4
+ ,7.2
+ ,2.3
+ ,1.4
+ ,7.5
+ ,7.3
+ ,2.2
+ ,0.6
+ ,8.0
+ ,8.1
+ ,1.8
+ ,0.0
+ ,8.1
+ ,8.5
+ ,1.8
+ ,0.5)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('wgM'
+ ,'wgV'
+ ,'it'
+ ,'gi')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('wgM','wgV','it','gi'),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/rcomp/tmp/1wqzk1257769422.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 = 4.3649, p-value = 1.272e-05
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.3983688 

> 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/2q37n1257769422.tab") 
> 
> system("convert tmp/1wqzk1257769422.ps tmp/1wqzk1257769422.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.520   0.380   0.942