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(0
+ ,1
+ ,-1.3
+ ,16
+ ,0
+ ,1.1
+ ,0.4
+ ,38
+ ,0
+ ,1.2
+ ,-6.3
+ ,41
+ ,0
+ ,0.5
+ ,0.4
+ ,43
+ ,0
+ ,-1
+ ,-1.3
+ ,42
+ ,0
+ ,-0.8
+ ,0.7
+ ,40
+ ,0
+ ,-1.1
+ ,-3.5
+ ,48
+ ,0
+ ,-0.4
+ ,2
+ ,46
+ ,0
+ ,1.2
+ ,3.9
+ ,51
+ ,0
+ ,0.6
+ ,7.8
+ ,52
+ ,0
+ ,-0.1
+ ,7
+ ,55
+ ,0
+ ,0.3
+ ,-0.9
+ ,55
+ ,0
+ ,0.2
+ ,3
+ ,46
+ ,0
+ ,-0.2
+ ,-0.7
+ ,38
+ ,0.2
+ ,-0.8
+ ,8.8
+ ,43
+ ,4.1
+ ,-0.8
+ ,-8.1
+ ,43
+ ,-1
+ ,1
+ ,2.7
+ ,44
+ ,0
+ ,-0.1
+ ,2.5
+ ,45
+ ,4
+ ,-0.8
+ ,11.8
+ ,35
+ ,1.9
+ ,0.9
+ ,-1.5
+ ,36
+ ,1.1
+ ,1.8
+ ,-7.7
+ ,36
+ ,0
+ ,0.1
+ ,-13.5
+ ,25
+ ,0
+ ,-0.1
+ ,-1.6
+ ,31
+ ,0.7
+ ,-0.8
+ ,-1.8
+ ,35
+ ,1.6
+ ,-2.1
+ ,2.3
+ ,46
+ ,2
+ ,-0.3
+ ,3.1
+ ,47
+ ,0
+ ,1.4
+ ,-2.5
+ ,40
+ ,4.8
+ ,-10.8
+ ,7.1
+ ,29
+ ,-1.5
+ ,9.4
+ ,-7.5
+ ,28
+ ,-4.4
+ ,0.5
+ ,-4.8
+ ,29
+ ,-2.7
+ ,1.7
+ ,-7.1
+ ,29
+ ,2.8
+ ,1.1
+ ,2.7
+ ,30
+ ,0.7
+ ,0
+ ,10.5
+ ,26
+ ,0.4
+ ,-2.1
+ ,7.6
+ ,27
+ ,-1.9
+ ,-1.7
+ ,2.8
+ ,18
+ ,-0.7
+ ,0.4
+ ,-5.6
+ ,15
+ ,0
+ ,1.6
+ ,-5
+ ,1
+ ,0
+ ,0.5
+ ,-2.9
+ ,1
+ ,0
+ ,-0.6
+ ,-5.2
+ ,2
+ ,8.3
+ ,0.1
+ ,9.7
+ ,2
+ ,1.4
+ ,0
+ ,6.9
+ ,1
+ ,0
+ ,-0.6
+ ,9.3
+ ,-4
+ ,-1.2
+ ,-1.42E-14
+ ,-1.4
+ ,1
+ ,0
+ ,-0.4
+ ,1.1
+ ,6
+ ,5.1
+ ,-0.1
+ ,-11.2
+ ,4
+ ,-3.7
+ ,1.4
+ ,-0.5
+ ,-1
+ ,-4.1
+ ,0.7
+ ,-8.9
+ ,-3
+ ,3.5
+ ,-0.9
+ ,2.4
+ ,-8
+ ,0
+ ,-1
+ ,1.9
+ ,-24
+ ,1.2
+ ,-0.1
+ ,0.5
+ ,-29
+ ,0
+ ,0.4
+ ,-0.1
+ ,-40
+ ,0
+ ,-0.3
+ ,-2.8
+ ,-32
+ ,0.2
+ ,0.2
+ ,-1.8
+ ,-41
+ ,-1.1
+ ,0.9
+ ,-0.9
+ ,-48
+ ,-3.9
+ ,-0.5
+ ,-0.9
+ ,-48
+ ,0.2
+ ,-0.5
+ ,1.2
+ ,-62
+ ,-0.4
+ ,0.6
+ ,6.6
+ ,-74
+ ,-0.2
+ ,0.8
+ ,5.1
+ ,-65
+ ,-0.7
+ ,-0.2
+ ,5.6
+ ,-61
+ ,2.2
+ ,-1.42E-14
+ ,1.3
+ ,-78
+ ,2.2
+ ,0.2
+ ,2.1
+ ,-61)
+ ,dim=c(4
+ ,61)
+ ,dimnames=list(c('energieprijzen'
+ ,'industriële_productie'
+ ,'nieuwe_personenwagens'
+ ,'werkloosheid')
+ ,1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('energieprijzen','industriële_productie','nieuwe_personenwagens','werkloosheid'),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: 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/1qppd1198329593.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 = -2.6497, p-value = 0.008056
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
-0.2492855 

> 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/2u7e81198329593.tab") 
> 
> system("convert tmp/1qppd1198329593.ps tmp/1qppd1198329593.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.713   0.205   0.872