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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> x <- array(list(3595,2564,3914,3869,4159,4145,3676,4091,3794,4117,3446,3281,3504,2186,3958,3476,3353,4009,3480,3924,3098,3101,2944,2211,3389,2497,3497,3520,4404,4191,3849,8255,3734,3000,3060,2955,3507,1986,3287,3229,3215,3448,3764,3371,2734,3160,2837,2429,2766,2574,3851,2725,3289,3451,3848,3481,3348,3592,3682,3472,4058,2312,3655,3322,3811,4348,3341,3603,3032,2700,3475,2640,3353,2916,3186,3180,3902,4151,4164,4023,3499,3431,4145,3874,3796,2617,3711,3580,3949,5267,3740,3832,3243,3441,4407,3228,4814,3397,3908,3971,5250,4625,3937,4486,4004,4132,5560,4685,3922,3172,3759,4280,4138,4207,4634,4158,3996,3933,4308,3151,4143,3616,4429,4222,5219,4436,4929,4806,5755,4849,5592,5023,4163,3521,4962,4649,5208,5388,4755,5148,4491,4847,5732,3996,5731,4483,5040,4684,6102,5454,4904,4770,5369,5309,5578,5074,4619,3505,4731,4953,5011,5155,5299,5308,4146,5171,4625,4003,4736,4379),dim=c(2,85),dimnames=list(c('bouwver','begonnen_geb'),1:85))
>  y <- array(NA,dim=c(2,85),dimnames=list(c('bouwver','begonnen_geb'),1:85))
>  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/1dhew1257958405.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] 2
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 7.2912, p-value = 3.073e-13
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.5381706 

> 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/2b0f41257958405.tab") 
> 
> system("convert tmp/1dhew1257958405.ps tmp/1dhew1257958405.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.426   0.186   0.493