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(519
+ ,100.03
+ ,103.27
+ ,517
+ ,100.49
+ ,100.87
+ ,510
+ ,108.76
+ ,107.8
+ ,509
+ ,105.28
+ ,104.99
+ ,501
+ ,104.55
+ ,100.76
+ ,507
+ ,108.91
+ ,104.46
+ ,569
+ ,105.83
+ ,100.62
+ ,580
+ ,82.12
+ ,87.84
+ ,578
+ ,113.71
+ ,107.31
+ ,565
+ ,117.53
+ ,115.61
+ ,547
+ ,104.75
+ ,103.43
+ ,555
+ ,104.3
+ ,109.93
+ ,562
+ ,102.82
+ ,104.43
+ ,561
+ ,106.86
+ ,106.69
+ ,555
+ ,123.1
+ ,123.1
+ ,544
+ ,112.02
+ ,109.42
+ ,537
+ ,103.66
+ ,101.46
+ ,543
+ ,121.78
+ ,124.48
+ ,594
+ ,107.81
+ ,101.49
+ ,611
+ ,93.54
+ ,100.46
+ ,613
+ ,119.41
+ ,115.51
+ ,611
+ ,117.99
+ ,113.37
+ ,594
+ ,116.82
+ ,115.4
+ ,595
+ ,112.62
+ ,118.2
+ ,591
+ ,105.76
+ ,106.82
+ ,589
+ ,107.86
+ ,110.17
+ ,584
+ ,122.06
+ ,119.91
+ ,573
+ ,114.29
+ ,112.31
+ ,567
+ ,109.95
+ ,110.62
+ ,569
+ ,119.99
+ ,120.37
+ ,621
+ ,103.77
+ ,97.94
+ ,629
+ ,96.02
+ ,103.02
+ ,628
+ ,120.83
+ ,116.36
+ ,612
+ ,110.14
+ ,108.51
+ ,595
+ ,119.77
+ ,122.54
+ ,597
+ ,113.61
+ ,121.32
+ ,593
+ ,106.83
+ ,112.25
+ ,590
+ ,108
+ ,109.89
+ ,580
+ ,126.39
+ ,129.58
+ ,574
+ ,105.09
+ ,107.2
+ ,573
+ ,118.95
+ ,118.68
+ ,573
+ ,120.6
+ ,118.25
+ ,620
+ ,106.07
+ ,102.67
+ ,626
+ ,96.59
+ ,104.19
+ ,620
+ ,118.74
+ ,117.74
+ ,588
+ ,121.88
+ ,123.3
+ ,566
+ ,120.89
+ ,122.2
+ ,557
+ ,105.66
+ ,112.71
+ ,561
+ ,113.76
+ ,118.53
+ ,549
+ ,111.92
+ ,115.32
+ ,532
+ ,127.19
+ ,127.36
+ ,526
+ ,109.19
+ ,110.45
+ ,511
+ ,118.05
+ ,122.22
+ ,499
+ ,123.23
+ ,123.39
+ ,555
+ ,114.68
+ ,116.2
+ ,565
+ ,104.57
+ ,109.22
+ ,542
+ ,115.73
+ ,116.98
+ ,527
+ ,129.87
+ ,132.89
+ ,510
+ ,120.31
+ ,125.24
+ ,514
+ ,104.23
+ ,115.68
+ ,517
+ ,123.92
+ ,129.28
+ ,508
+ ,124.1
+ ,122.72
+ ,493
+ ,125.61
+ ,128.83
+ ,490
+ ,133.91
+ ,137.79
+ ,469
+ ,124.47
+ ,123.72
+ ,478
+ ,129.64
+ ,130.13
+ ,528
+ ,128.58
+ ,130.4
+ ,534
+ ,103.55
+ ,114.05
+ ,518
+ ,129.57
+ ,134.22)
+ ,dim=c(3
+ ,69)
+ ,dimnames=list(c('X'
+ ,'Y'
+ ,'Z')
+ ,1:69))
>  y <- array(NA,dim=c(3,69),dimnames=list(c('X','Y','Z'),1:69))
>  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/freestat/rcomp/tmp/1f2ro1229692109.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/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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 = -2.1034, p-value = 0.03543
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
-0.1736537 

> 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/freestat/rcomp/tmp/23ise1229692109.tab") 
> 
> system("convert tmp/1f2ro1229692109.ps tmp/1f2ro1229692109.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.623   0.259   0.687