R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(117
+ ,100.6
+ ,118.4
+ ,103.8
+ ,101.2
+ ,108.1
+ ,100.8
+ ,93.1
+ ,105.4
+ ,110.6
+ ,84.2
+ ,114.6
+ ,104
+ ,85.8
+ ,106.9
+ ,112.6
+ ,91.8
+ ,115.9
+ ,107.3
+ ,92.4
+ ,109.8
+ ,98.9
+ ,80.3
+ ,101.8
+ ,109.8
+ ,79.7
+ ,114.2
+ ,104.9
+ ,62.5
+ ,110.8
+ ,102.2
+ ,57.1
+ ,108.4
+ ,123.9
+ ,100.8
+ ,127.5
+ ,124.9
+ ,100.7
+ ,128.6
+ ,112.7
+ ,86.2
+ ,116.6
+ ,121.9
+ ,83.2
+ ,127.4
+ ,100.6
+ ,71.7
+ ,105
+ ,104.3
+ ,77.5
+ ,108.3
+ ,120.4
+ ,89.8
+ ,125
+ ,107.5
+ ,80.3
+ ,111.6
+ ,102.9
+ ,78.7
+ ,106.5
+ ,125.6
+ ,93.8
+ ,130.3
+ ,107.5
+ ,57.6
+ ,115
+ ,108.8
+ ,60.6
+ ,116.1
+ ,128.4
+ ,91
+ ,134
+ ,121.1
+ ,85.3
+ ,126.5
+ ,119.5
+ ,77.4
+ ,125.8
+ ,128.7
+ ,77.3
+ ,136.4
+ ,108.7
+ ,68.3
+ ,114.9
+ ,105.5
+ ,69.9
+ ,110.9
+ ,119.8
+ ,81.7
+ ,125.5
+ ,111.3
+ ,75.1
+ ,116.8
+ ,110.6
+ ,69.9
+ ,116.8
+ ,120.1
+ ,84
+ ,125.5
+ ,97.5
+ ,54.3
+ ,104.2
+ ,107.7
+ ,60
+ ,115.1
+ ,127.3
+ ,89.9
+ ,132.8
+ ,117.2
+ ,77
+ ,123.3
+ ,119.8
+ ,85.3
+ ,124.8
+ ,116.2
+ ,77.6
+ ,122
+ ,111
+ ,69.2
+ ,117.4
+ ,112.4
+ ,75.5
+ ,117.9
+ ,130.6
+ ,85.7
+ ,137.4
+ ,109.1
+ ,72.2
+ ,114.6
+ ,118.8
+ ,79.9
+ ,124.7
+ ,123.9
+ ,85.3
+ ,129.6
+ ,101.6
+ ,52.2
+ ,109.4
+ ,112.8
+ ,61.2
+ ,120.9
+ ,128
+ ,82.4
+ ,134.9
+ ,129.6
+ ,85.4
+ ,136.3
+ ,125.8
+ ,78.2
+ ,133.2
+ ,119.5
+ ,70.2
+ ,127.2
+ ,115.7
+ ,70.2
+ ,122.7
+ ,113.6
+ ,69.3
+ ,120.5
+ ,129.7
+ ,77.5
+ ,137.8
+ ,112
+ ,66.1
+ ,119.1
+ ,116.8
+ ,69
+ ,124.3
+ ,127
+ ,79.2
+ ,134.4
+ ,112.9
+ ,58.2
+ ,121.7
+ ,113.3
+ ,64.5
+ ,121
+ ,121.7
+ ,76.4
+ ,128.6)
+ ,dim=c(3
+ ,60)
+ ,dimnames=list(c('a'
+ ,'b'
+ ,'c
')
+ ,1:60))
>  y <- array(NA,dim=c(3,60),dimnames=list(c('a','b','c
'),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: Wessa P., (2007), Multivariate Correlation Matrix (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_pairs.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method='kendall')
+ r <- round(rr$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/110771197375143.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 strwidth(labels, "user") : font width unknown for character 0xd
2: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
3: In text.default(x, y, txt, cex = cex, font = font) :
  font metrics unknown for character 0xd
4: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
> dev.off()
null device 
          1 
> 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 = 3.3812, p-value = 0.0007218
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.3004536 

> 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/2r84o1197375143.tab") 
> 
> system("convert tmp/110771197375143.ps tmp/110771197375143.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.689   0.200   0.795