R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(100
+ ,100
+ ,100
+ ,100
+ ,98.78
+ ,99.88
+ ,101.71
+ ,99.74
+ ,96.87
+ ,98.97
+ ,102.79
+ ,98.76
+ ,94.36
+ ,96.73
+ ,102.21
+ ,96.67
+ ,92.60
+ ,95.72
+ ,101.62
+ ,95.44
+ ,94.19
+ ,96.37
+ ,102.72
+ ,96.51
+ ,111.67
+ ,101.42
+ ,102.64
+ ,105.55
+ ,120.38
+ ,102.11
+ ,98.75
+ ,108.61
+ ,112.53
+ ,105.44
+ ,110.46
+ ,108.94
+ ,113.05
+ ,105.21
+ ,108.37
+ ,108.71
+ ,108.02
+ ,103.32
+ ,106.77
+ ,105.66
+ ,109.70
+ ,102.70
+ ,105.92
+ ,105.89
+ ,108.79
+ ,101.92
+ ,105.23
+ ,105.08
+ ,106.53
+ ,102.24
+ ,108.18
+ ,104.81
+ ,105.06
+ ,101.71
+ ,107.72
+ ,103.93
+ ,102.52
+ ,100.01
+ ,106.09
+ ,101.92
+ ,100.42
+ ,99.37
+ ,106.71
+ ,100.91
+ ,101.49
+ ,99.43
+ ,105.70
+ ,101.19
+ ,118.60
+ ,104.84
+ ,106.51
+ ,110.39
+ ,122.94
+ ,106.00
+ ,101.63
+ ,111.84
+ ,114.98
+ ,108.62
+ ,112.86
+ ,111.72
+ ,111.51
+ ,105.30
+ ,112.85
+ ,108.85
+ ,106.02
+ ,104.15
+ ,110.70
+ ,105.88
+ ,107.20
+ ,103.58
+ ,111.45
+ ,106.19
+ ,101.41
+ ,106.75
+ ,112.12
+ ,105.53
+ ,101.42
+ ,105.13
+ ,113.06
+ ,104.93
+ ,98.32
+ ,103.69
+ ,113.25
+ ,103.11
+ ,99.32
+ ,101.72
+ ,110.21
+ ,102.11
+ ,97.65
+ ,101.80
+ ,112.49
+ ,101.86
+ ,97.79
+ ,102.68
+ ,109.70
+ ,101.89
+ ,111.01
+ ,108.77
+ ,112.29
+ ,110.18
+ ,111.28
+ ,110.99
+ ,112.20
+ ,111.29
+ ,106.63
+ ,111.76
+ ,114.67
+ ,110.24
+ ,96.56
+ ,108.60
+ ,112.00
+ ,104.50
+ ,91.53
+ ,105.76
+ ,107.82
+ ,100.61
+ ,89.99
+ ,103.89
+ ,107.49
+ ,99.10
+ ,89.99
+ ,105.28
+ ,107.16
+ ,99.69
+ ,85.87
+ ,104.37
+ ,106.60
+ ,97.60
+ ,82.37
+ ,100.57
+ ,106.87
+ ,94.55
+ ,79.82
+ ,101.27
+ ,104.51
+ ,93.53
+ ,77.37
+ ,97.62
+ ,104.36
+ ,90.88
+ ,77.72
+ ,92.16
+ ,105.53
+ ,88.68
+ ,93.56
+ ,99.80
+ ,108.60
+ ,98.76
+ ,93.60
+ ,103.00
+ ,109.59
+ ,100.40
+ ,84.41
+ ,101.67
+ ,110.02
+ ,96.32
+ ,80.23
+ ,99.65
+ ,109.64
+ ,93.73
+ ,76.97
+ ,96.09
+ ,108.54
+ ,90.67
+ ,79.22
+ ,95.88
+ ,108.66
+ ,91.45
+ ,78.48
+ ,97.84
+ ,107.71
+ ,91.93
+ ,75.93
+ ,97.25
+ ,105.05
+ ,90.26
+ ,74.88
+ ,92.48
+ ,104.69
+ ,87.60
+ ,73.81
+ ,92.57
+ ,104.35
+ ,87.18
+ ,69.83
+ ,88.35
+ ,102.79
+ ,83.47
+ ,73.12
+ ,88.63
+ ,103.23
+ ,84.93
+ ,86.26
+ ,96.54
+ ,105.42
+ ,93.96
+ ,86.51
+ ,98.09
+ ,106.17
+ ,94.89
+ ,80.62
+ ,96.99
+ ,106.09
+ ,92.11
+ ,78.32
+ ,93.81
+ ,107.74
+ ,90.01
+ ,77.15
+ ,93.25
+ ,107.38
+ ,89.25
+ ,82.34
+ ,94.22
+ ,108.02
+ ,91.79
+ ,86.21
+ ,95.21
+ ,109.34
+ ,93.94
+ ,87.51
+ ,95.51
+ ,110.28
+ ,94.72)
+ ,dim=c(4
+ ,62)
+ ,dimnames=list(c('VL'
+ ,'WAL'
+ ,'BRU'
+ ,'BEL')
+ ,1:62))
>  y <- array(NA,dim=c(4,62),dimnames=list(c('VL','WAL','BRU','BEL'),1:62))
>  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/rcomp/tmp/1fwrx1258210421.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> 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] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 6.4265, p-value = 1.306e-10
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.5596403 

> 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/2jso51258210421.tab") 
> 
> system("convert tmp/1fwrx1258210421.ps tmp/1fwrx1258210421.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.518   0.216   0.667