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(9487
+ ,1169
+ ,1.00
+ ,2.6
+ ,8700
+ ,2154
+ ,1.00
+ ,2.5
+ ,9627
+ ,2249
+ ,0.99
+ ,2.5
+ ,8947
+ ,2687
+ ,0.97
+ ,1.6
+ ,9283
+ ,4359
+ ,0.96
+ ,1.4
+ ,8829
+ ,5382
+ ,0.96
+ ,0.8
+ ,9947
+ ,4459
+ ,1.09
+ ,1.1
+ ,9628
+ ,6398
+ ,1.10
+ ,1.3
+ ,9318
+ ,4596
+ ,1.10
+ ,1.2
+ ,9605
+ ,3024
+ ,1.09
+ ,1.3
+ ,8640
+ ,1887
+ ,1.07
+ ,1.1
+ ,9214
+ ,2070
+ ,1.08
+ ,1.3
+ ,9567
+ ,1351
+ ,1.09
+ ,1.2
+ ,8547
+ ,2218
+ ,1.09
+ ,1.6
+ ,9185
+ ,2461
+ ,1.07
+ ,1.7
+ ,9470
+ ,3028
+ ,1.07
+ ,1.5
+ ,9123
+ ,4784
+ ,1.05
+ ,0.9
+ ,9278
+ ,4975
+ ,1.06
+ ,1.5
+ ,10170
+ ,4607
+ ,1.20
+ ,1.4
+ ,9434
+ ,6249
+ ,1.22
+ ,1.6
+ ,9655
+ ,4809
+ ,1.21
+ ,1.7
+ ,9429
+ ,3157
+ ,1.19
+ ,1.4
+ ,8739
+ ,1910
+ ,1.15
+ ,1.8
+ ,9552
+ ,2228
+ ,1.17
+ ,1.7
+ ,9687
+ ,1594
+ ,1.18
+ ,1.4
+ ,9019
+ ,2467
+ ,1.18
+ ,1.2
+ ,9672
+ ,2222
+ ,1.17
+ ,1
+ ,9206
+ ,3607
+ ,1.14
+ ,1.7
+ ,9069
+ ,4685
+ ,1.13
+ ,2.4
+ ,9788
+ ,4962
+ ,1.14
+ ,2
+ ,10312
+ ,5770
+ ,1.25
+ ,2.1
+ ,10105
+ ,5480
+ ,1.28
+ ,2
+ ,9863
+ ,5000
+ ,1.29
+ ,1.8
+ ,9656
+ ,3228
+ ,1.28
+ ,2.7
+ ,9295
+ ,1993
+ ,1.25
+ ,2.3
+ ,9946
+ ,2288
+ ,1.25
+ ,1.9
+ ,9701
+ ,1580
+ ,1.24
+ ,2
+ ,9049
+ ,2111
+ ,1.24
+ ,2.3
+ ,10190
+ ,2192
+ ,1.23
+ ,2.8
+ ,9706
+ ,3601
+ ,1.20
+ ,2.4
+ ,9765
+ ,4665
+ ,1.19
+ ,2.3
+ ,9893
+ ,4876
+ ,1.20
+ ,2.7
+ ,9994
+ ,5813
+ ,1.30
+ ,2.7
+ ,10433
+ ,5589
+ ,1.32
+ ,2.9
+ ,10073
+ ,5331
+ ,1.32
+ ,3
+ ,10112
+ ,3075
+ ,1.29
+ ,2.2
+ ,9266
+ ,2002
+ ,1.25
+ ,2.3
+ ,9820
+ ,2306
+ ,1.25
+ ,2.8
+ ,10097
+ ,1507
+ ,1.25
+ ,2.8
+ ,9115
+ ,1992
+ ,1.24
+ ,2.8
+ ,10411
+ ,2487
+ ,1.22
+ ,2.2
+ ,9678
+ ,3490
+ ,1.21
+ ,2.6
+ ,10408
+ ,4647
+ ,1.20
+ ,2.8
+ ,10153
+ ,5594
+ ,1.20
+ ,2.5
+ ,10368
+ ,5611
+ ,1.30
+ ,2.4
+ ,10581
+ ,5788
+ ,1.31
+ ,2.3
+ ,10597
+ ,6204
+ ,1.30
+ ,1.9
+ ,10680
+ ,3013
+ ,1.23
+ ,1.7
+ ,9738
+ ,1931
+ ,1.19
+ ,2
+ ,9556
+ ,2549
+ ,1.17
+ ,2.1)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('Geb.'
+ ,'Huw.'
+ ,'WerkLH.'
+ ,'Inflatie')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('Geb.','Huw.','WerkLH.','Inflatie'),1:60))
>  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/1fybf1257799696.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] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 3.1252, p-value = 0.001777
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.2768362 

> 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/2ociz1257799696.tab") 
> 
> system("convert tmp/1fybf1257799696.ps tmp/1fybf1257799696.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.504   0.203   1.387