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(87.12
+ ,0.18
+ ,53.045
+ ,4.5
+ ,32.805
+ ,3.645
+ ,48.02
+ ,39.605
+ ,42.32
+ ,21.78
+ ,1.28
+ ,29.645
+ ,36.98
+ ,18
+ ,40.5
+ ,14.045
+ ,0.18
+ ,18.605
+ ,35.28
+ ,73.205
+ ,32
+ ,59.405
+ ,0.18
+ ,76.88
+ ,12.005
+ ,147.92
+ ,5.78
+ ,3.645
+ ,14.58
+ ,2.88
+ ,235.445
+ ,954.845
+ ,182.405
+ ,0.5
+ ,0.005
+ ,0.605
+ ,74.42
+ ,105.125
+ ,72
+ ,42.32
+ ,4.5
+ ,58.32
+ ,226.845
+ ,66.125
+ ,250.88
+ ,6.845
+ ,16.82
+ ,5.445
+ ,129.605
+ ,75.645
+ ,139.445
+ ,83.205
+ ,45.125
+ ,89.78
+ ,10.58
+ ,1.28
+ ,13.005
+ ,257.645
+ ,114.005
+ ,283.22
+ ,163.805
+ ,655.22
+ ,117.045
+ ,0.845
+ ,4.5
+ ,0.605
+ ,192.08
+ ,462.08
+ ,160.205
+ ,26.645
+ ,16.245
+ ,28.125
+ ,1.28
+ ,31.205
+ ,0.245
+ ,42.32
+ ,0.005
+ ,56.18
+ ,200
+ ,40.5
+ ,231.125
+ ,5.12
+ ,1.28
+ ,8
+ ,102.245
+ ,69.62
+ ,106.58
+ ,36.125
+ ,21.78
+ ,37.845
+ ,0.245
+ ,13.52
+ ,0
+ ,45.125
+ ,99.405
+ ,37.845
+ ,255.38
+ ,441.045
+ ,226.845
+ ,52.02
+ ,16.245
+ ,59.405
+ ,192.08
+ ,447.005
+ ,156.645
+ ,51.005
+ ,83.205
+ ,45.125
+ ,3.38
+ ,34.445
+ ,1.125
+ ,6.48
+ ,29.645
+ ,3.92
+ ,13.52
+ ,35.28
+ ,10.58
+ ,0.98
+ ,19.845
+ ,0.125
+ ,165.62
+ ,52.02
+ ,190.125
+ ,231.125
+ ,91.125
+ ,259.92
+ ,47.045
+ ,29.645
+ ,51.005
+ ,13.005
+ ,14.58
+ ,12.005
+ ,248.645
+ ,547.805
+ ,204.02
+ ,62.72
+ ,40.5
+ ,66.125
+ ,115.52
+ ,224.72
+ ,98
+ ,1.28
+ ,4.5
+ ,0.98
+ ,7.22
+ ,25.92
+ ,4.805
+ ,19.845
+ ,32
+ ,18
+ ,7.22
+ ,0
+ ,10.125
+ ,2.205
+ ,0.405
+ ,2.42
+ ,129.605
+ ,33.62
+ ,149.645
+ ,156.645
+ ,64.98
+ ,174.845
+ ,11.52
+ ,4.205
+ ,13.52
+ ,52.02
+ ,52.02
+ ,51.005
+ ,99.405
+ ,220.5
+ ,80.645
+ ,0.08
+ ,19.845
+ ,0.245
+ ,35.28
+ ,70.805
+ ,28.88)
+ ,dim=c(3
+ ,59)
+ ,dimnames=list(c('Totaal'
+ ,'Duurzaam'
+ ,'Nt-Duurzaam')
+ ,1:59))
>  y <- array(NA,dim=c(3,59),dimnames=list(c('Totaal','Duurzaam','Nt-Duurzaam'),1:59))
>  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/15rjs1196371777.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] 3
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 5.2867, p-value = 1.245e-07
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.4754356 

> 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/2ou0l1196371777.tab") 
> 
> system("convert tmp/15rjs1196371777.ps tmp/15rjs1196371777.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.705   0.191   0.762