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(-5331
+ ,0.99
+ ,11.1
+ ,-1.89
+ ,-8267
+ ,4.05
+ ,-7.1
+ ,-0.1
+ ,-5560
+ ,-7.4
+ ,-5.7
+ ,-0.02
+ ,-8672
+ ,-1.19
+ ,-4
+ ,-0.05
+ ,-4490
+ ,3.15
+ ,7.2
+ ,0.03
+ ,-127
+ ,-0.05
+ ,-0.4
+ ,6.73
+ ,-1075
+ ,1.83
+ ,2.4
+ ,0.02
+ ,738
+ ,-0.83
+ ,-8.7
+ ,0.1
+ ,-618
+ ,-5.17
+ ,-6.8
+ ,0
+ ,755
+ ,3.51
+ ,19.1
+ ,0
+ ,295
+ ,2.94
+ ,1.5
+ ,-0.14
+ ,4034
+ ,0.48
+ ,-2.7
+ ,-0.13
+ ,-3485
+ ,-1.51
+ ,-17.2
+ ,1.79
+ ,2312
+ ,-7.38
+ ,-7.5
+ ,0.01
+ ,6976
+ ,0.44
+ ,18.4
+ ,0.24
+ ,5929
+ ,6.2
+ ,4.5
+ ,-0.01
+ ,282
+ ,-0.21
+ ,-3.2
+ ,-0.04
+ ,476
+ ,3.63
+ ,0.8
+ ,0.01
+ ,-3701
+ ,-2.61
+ ,-13.8
+ ,0.05
+ ,-552
+ ,-3.75
+ ,17
+ ,-0.1
+ ,-398
+ ,2.16
+ ,-6.4
+ ,0.01
+ ,-2534
+ ,-0.59
+ ,2.1
+ ,-0.03
+ ,1465
+ ,0.35
+ ,2.2
+ ,0
+ ,-1741
+ ,0.7
+ ,-5.5
+ ,-0.02
+ ,1714
+ ,2.31
+ ,8
+ ,0.6
+ ,-3792
+ ,0.92
+ ,-6
+ ,0.06
+ ,-7342
+ ,2.62
+ ,11
+ ,-0.26
+ ,-5552
+ ,-7.4
+ ,-17.9
+ ,0.34
+ ,-274
+ ,2.63
+ ,12.6
+ ,0
+ ,2725
+ ,1.37
+ ,6.7
+ ,-0.01
+ ,-34
+ ,-2.36
+ ,-15.1
+ ,-0.06
+ ,1193
+ ,4.35
+ ,19.8
+ ,0.13
+ ,-682
+ ,-8.94
+ ,-33.2
+ ,0.22
+ ,-2997
+ ,-0.78
+ ,2.5
+ ,0.04
+ ,-690
+ ,2.05
+ ,26.1
+ ,0
+ ,-3109
+ ,7.69
+ ,-8.9
+ ,-0.016205333
+ ,2213
+ ,-0.63
+ ,18.1
+ ,-0.379989333
+ ,3915
+ ,3.62
+ ,-22.8
+ ,1.679586667
+ ,5410
+ ,-9.45
+ ,-10.4
+ ,0.057826667
+ ,683
+ ,6.01
+ ,31.2
+ ,-0.34
+ ,4331
+ ,2.96
+ ,-13.3
+ ,0
+ ,-3353
+ ,-5.22
+ ,10.8
+ ,0.009565333
+ ,187
+ ,3.76
+ ,-19.4
+ ,0.018261333
+ ,-1402
+ ,-8.02
+ ,-11.8
+ ,-0.120434667
+ ,-1479
+ ,-7.73
+ ,1.5
+ ,-0.210869333
+ ,1210
+ ,7.29
+ ,16.3
+ ,0.056957333
+ ,-1097
+ ,6.13061375
+ ,14.7
+ ,0
+ ,-1331
+ ,-3.852974833
+ ,-28.2
+ ,1.190656333
+ ,12.3
+ ,4.995579833
+ ,20.9
+ ,-4.206122917
+ ,-23
+ ,-2.433080333
+ ,-3.5
+ ,2.484848
+ ,16.2
+ ,-1.708333
+ ,-17.1
+ ,-10.62531358
+ ,-32.4
+ ,4.503787
+ ,20.3
+ ,6.535667917
+ ,16.4
+ ,0.81534075
+ ,8.1)
+ ,dim=c(4
+ ,58)
+ ,dimnames=list(c('inschrijvingen'
+ ,'brandstof'
+ ,'aardolie'
+ ,'wegvervoer')
+ ,1:58))
>  y <- array(NA,dim=c(4,58),dimnames=list(c('inschrijvingen','brandstof','aardolie','wegvervoer'),1:58))
>  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/11o5q1197728887.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] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 1.61, p-value = 0.1074
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.1452345 

> 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/2l4ol1197728887.tab") 
> 
> system("convert tmp/11o5q1197728887.ps tmp/11o5q1197728887.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.736   0.209   0.799