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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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- array(list(97.57
+ ,127.96
+ ,20.72
+ ,97.74
+ ,127.47
+ ,21.45
+ ,97.92
+ ,126.47
+ ,22.09
+ ,98.19
+ ,125.75
+ ,21.53
+ ,98.23
+ ,125.42
+ ,23.35
+ ,98.41
+ ,125.14
+ ,23.57
+ ,98.59
+ ,125.15
+ ,26.42
+ ,98.71
+ ,125.51
+ ,25.21
+ ,99.14
+ ,125.63
+ ,26.44
+ ,99.62
+ ,126.22
+ ,29.34
+ ,100.18
+ ,126.88
+ ,29.40
+ ,100.66
+ ,127.96
+ ,33.05
+ ,101.19
+ ,128.74
+ ,28.38
+ ,101.75
+ ,129.6
+ ,26.01
+ ,102.2
+ ,131.2
+ ,29.31
+ ,102.87
+ ,132.72
+ ,30.36
+ ,98.81
+ ,134.67
+ ,35.75
+ ,97.6
+ ,135.94
+ ,36.15
+ ,96.68
+ ,136.39
+ ,34.21
+ ,95.96
+ ,136.74
+ ,37.91
+ ,98.89
+ ,137.2
+ ,38.70
+ ,99.05
+ ,137.36
+ ,42.12
+ ,99.2
+ ,138.63
+ ,42.16
+ ,99.11
+ ,141.07
+ ,39.80
+ ,99.19
+ ,143.32
+ ,37.36
+ ,99.77
+ ,147.91
+ ,38.35
+ ,100.70
+ ,152.56
+ ,42.60
+ ,100.78
+ ,151.61
+ ,41.25
+ ,100.53
+ ,156.56
+ ,42.16
+ ,101.01
+ ,157.45
+ ,46.94
+ ,100.92
+ ,158.13
+ ,47.43
+ ,101.10
+ ,159.18
+ ,47.06
+ ,103.11
+ ,159.47
+ ,50.18
+ ,102.99
+ ,159.79
+ ,50.13
+ ,102.31
+ ,161.65
+ ,43.23
+ ,102.61
+ ,162.77
+ ,40.04
+ ,103.68
+ ,163.48
+ ,40.37
+ ,104.72
+ ,166.16
+ ,42.21
+ ,107.66
+ ,163.86
+ ,37.00
+ ,108.87
+ ,162.12
+ ,39.74
+ ,108.12
+ ,149.08
+ ,42.68
+ ,107.61
+ ,145.32
+ ,46.29
+ ,106.42
+ ,141.21
+ ,46.97
+ ,105.61
+ ,134.68
+ ,48.73
+ ,105.71
+ ,133.65
+ ,52.37
+ ,105.49
+ ,139.17
+ ,50.05
+ ,105.57
+ ,138.61
+ ,54.04
+ ,105.18
+ ,144.96
+ ,57.78
+ ,106.09
+ ,157.99
+ ,64.72
+ ,106.34
+ ,167.18
+ ,63.41
+ ,108.47
+ ,174.48
+ ,64.36
+ ,116.87
+ ,182.77
+ ,66.03
+ ,121.08
+ ,190.00
+ ,72.14
+ ,123.27
+ ,189.70
+ ,76.60
+ ,124.18
+ ,188.90
+ ,86.97
+ ,125.60
+ ,198.28
+ ,93.48
+ ,126.57
+ ,201.18
+ ,95.59
+ ,127.18
+ ,204.14
+ ,81.89
+ ,128.04
+ ,221.02
+ ,70.55
+ ,128.55
+ ,221.12
+ ,50.38
+ ,129.67
+ ,220.68
+ ,36.25)
+ ,dim=c(3
+ ,61)
+ ,dimnames=list(c('Elektriciteit'
+ ,'Gas'
+ ,'Olie')
+ ,1:61))
>  y <- array(NA,dim=c(3,61),dimnames=list(c('Elektriciteit','Gas','Olie'),1:61))
>  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/15ezb1229604429.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 = 7.1378, p-value = 9.481e-13
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6269473 

> 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/2qt3u1229604429.tab") 
> 
> system("convert tmp/15ezb1229604429.ps tmp/15ezb1229604429.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.639   0.264   0.715