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(1.0137
+ ,89.97
+ ,0.9834
+ ,99.8
+ ,0.9643
+ ,112.99
+ ,0.947
+ ,93.69
+ ,0.906
+ ,108.02
+ ,0.9492
+ ,99.11
+ ,0.9397
+ ,94.33
+ ,0.9041
+ ,83.75
+ ,0.8721
+ ,106.37
+ ,0.8552
+ ,109.63
+ ,0.8564
+ ,105.5
+ ,0.8973
+ ,96.13
+ ,0.9383
+ ,102.48
+ ,0.9217
+ ,101.37
+ ,0.9095
+ ,112.76
+ ,0.892
+ ,95.57
+ ,0.8742
+ ,102.81
+ ,0.8532
+ ,104.13
+ ,0.8607
+ ,97.52
+ ,0.9005
+ ,85.29
+ ,0.9111
+ ,101.01
+ ,0.9059
+ ,108.48
+ ,0.8883
+ ,101.33
+ ,0.8924
+ ,87.57
+ ,0.8833
+ ,97.44
+ ,0.87
+ ,96.06
+ ,0.8758
+ ,106.67
+ ,0.8858
+ ,102.67
+ ,0.917
+ ,104.54
+ ,0.9554
+ ,102.46
+ ,0.9922
+ ,103.35
+ ,0.9778
+ ,83.27
+ ,0.9808
+ ,108.22
+ ,0.9811
+ ,115.23
+ ,1.0014
+ ,103.7
+ ,1.0183
+ ,93.61
+ ,1.0622
+ ,100.25
+ ,1.0773
+ ,100.56
+ ,1.0807
+ ,108.86
+ ,1.0848
+ ,105.43
+ ,1.1582
+ ,104.77
+ ,1.1663
+ ,109.13
+ ,1.1372
+ ,106.13
+ ,1.1139
+ ,82.27
+ ,1.1222
+ ,113.6
+ ,1.1692
+ ,117.73
+ ,1.1702
+ ,104.83
+ ,1.2286
+ ,104.61
+ ,1.2613
+ ,102.93
+ ,1.2646
+ ,106.95
+ ,1.2262
+ ,123.45
+ ,1.1985
+ ,111.99
+ ,1.2007
+ ,103.95
+ ,1.2138
+ ,122.05
+ ,1.2266
+ ,108.04
+ ,1.2176
+ ,93.72
+ ,1.2218
+ ,119.61
+ ,1.249
+ ,118.29
+ ,1.2991
+ ,117.14
+ ,1.3408
+ ,112.76
+ ,1.3119
+ ,105.97
+ ,1.3014
+ ,107.96
+ ,1.3201
+ ,122.27
+ ,1.2938
+ ,114.54
+ ,1.2694
+ ,110.15
+ ,1.2165
+ ,120.02
+ ,1.2037
+ ,103.94
+ ,1.2292
+ ,96.18
+ ,1.2256
+ ,121.01
+ ,1.2015
+ ,110.55
+ ,1.1786
+ ,120.04
+ ,1.1856
+ ,114.19)
+ ,dim=c(2
+ ,72)
+ ,dimnames=list(c('wisselkoers'
+ ,'uitvoer')
+ ,1:72))
>  y <- array(NA,dim=c(2,72),dimnames=list(c('wisselkoers','uitvoer'),1:72))
>  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/1t9j21199815021.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 
> 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] 2
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 3.9911, p-value = 6.576e-05
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.3212679 

> 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/2p9x31199815021.tab") 
> 
> system("convert tmp/1t9j21199815021.ps tmp/1t9j21199815021.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.641   0.188   0.727