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(115.4
+ ,126.6
+ ,117
+ ,106.9
+ ,93.9
+ ,103.8
+ ,107.1
+ ,89.8
+ ,100.8
+ ,99.3
+ ,93.4
+ ,110.6
+ ,99.2
+ ,101.5
+ ,104
+ ,108.3
+ ,110.4
+ ,112.6
+ ,105.6
+ ,105.9
+ ,107.3
+ ,99.5
+ ,108.4
+ ,98.9
+ ,107.4
+ ,113.9
+ ,109.8
+ ,93.1
+ ,86.1
+ ,104.9
+ ,88.1
+ ,69.4
+ ,102.2
+ ,110.7
+ ,101.2
+ ,123.9
+ ,113.1
+ ,100.5
+ ,124.9
+ ,99.6
+ ,98
+ ,112.7
+ ,93.6
+ ,106.6
+ ,121.9
+ ,98.6
+ ,90.1
+ ,100.6
+ ,99.6
+ ,96.9
+ ,104.3
+ ,114.3
+ ,125.9
+ ,120.4
+ ,107.8
+ ,112
+ ,107.5
+ ,101.2
+ ,100
+ ,102.9
+ ,112.5
+ ,123.9
+ ,125.6
+ ,100.5
+ ,79.8
+ ,107.5
+ ,93.9
+ ,83.4
+ ,108.8
+ ,116.2
+ ,113.6
+ ,128.4
+ ,112
+ ,112.9
+ ,121.1
+ ,106.4
+ ,104
+ ,119.5
+ ,95.7
+ ,109.9
+ ,128.7
+ ,96
+ ,99
+ ,108.7
+ ,95.8
+ ,106.3
+ ,105.5
+ ,103
+ ,128.9
+ ,119.8
+ ,102.2
+ ,111.1
+ ,111.3
+ ,98.4
+ ,102.9
+ ,110.6
+ ,111.4
+ ,130
+ ,120.1
+ ,86.6
+ ,87
+ ,97.5
+ ,91.3
+ ,87.5
+ ,107.7
+ ,107.9
+ ,117.6
+ ,127.3
+ ,101.8
+ ,103.4
+ ,117.2
+ ,104.4
+ ,110.8
+ ,119.8
+ ,93.4
+ ,112.6
+ ,116.2
+ ,100.1
+ ,102.5
+ ,111
+ ,98.5
+ ,112.4
+ ,112.4
+ ,112.9
+ ,135.6
+ ,130.6
+ ,101.4
+ ,105.1
+ ,109.1
+ ,107.1
+ ,127.7
+ ,118.8
+ ,110.8
+ ,137
+ ,123.9
+ ,90.3
+ ,91
+ ,101.6
+ ,95.5
+ ,90.5
+ ,112.8
+ ,111.4
+ ,122.4
+ ,128
+ ,113
+ ,123.3
+ ,129.6
+ ,107.5
+ ,124.3
+ ,125.8
+ ,95.9
+ ,120
+ ,119.5
+ ,106.3
+ ,118.1
+ ,115.7
+ ,105.2
+ ,119
+ ,113.6
+ ,117.2
+ ,142.7
+ ,129.7
+ ,106.9
+ ,123.6
+ ,112
+ ,108.2
+ ,129.6
+ ,116.8
+ ,113
+ ,151.6
+ ,127
+ ,96.1
+ ,108.7
+ ,112.9
+ ,100.2
+ ,99.3
+ ,113.3
+ ,108.1
+ ,126.4
+ ,121.7)
+ ,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/1u2lo1197375510.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 = 5.5685, p-value = 2.569e-08
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.4939185 

> 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/2syry1197375510.tab") 
> 
> system("convert tmp/1u2lo1197375510.ps tmp/1u2lo1197375510.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.690   0.207   0.829