R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(10284.5
+ ,9904.642857
+ ,12792
+ ,13710.15385
+ ,12823.61538
+ ,13747.69231
+ ,13845.66667
+ ,14517
+ ,15335.63636
+ ,15185.81818
+ ,11188.5
+ ,11422.28571
+ ,13633.25
+ ,13819.66667
+ ,12298.46667
+ ,12749
+ ,15353.63636
+ ,16217
+ ,12696.15385
+ ,13238
+ ,12213.93333
+ ,12391
+ ,13683.72727
+ ,14780.09091
+ ,11214.14286
+ ,10815.42857
+ ,13950.23077
+ ,14770.84615
+ ,11179.13333
+ ,11831
+ ,11801.875
+ ,11931.3125
+ ,11188.82353
+ ,10611.94118
+ ,16456.27273
+ ,15923.18182
+ ,11110.0625
+ ,11094.875
+ ,16530.69231
+ ,16209.53846
+ ,10038.41176
+ ,10100
+ ,11681.25
+ ,12149.6875
+ ,11148.88235
+ ,11644.35294
+ ,8631
+ ,9249.947368
+ ,9386.444444
+ ,8980.777778
+ ,9764.736842
+ ,10244.52632
+ ,12043.75
+ ,12457.5625
+ ,12948.06667
+ ,13307.46667
+ ,10987.125
+ ,10839.625
+ ,11648.3125
+ ,11827.625
+ ,10633.35294
+ ,10925.94118
+ ,10219.3
+ ,10675.3
+ ,9037.6
+ ,9297.3
+ ,10296.31579
+ ,10433.21053
+ ,11705.41176
+ ,12261.41176
+ ,10681.94444
+ ,10911.22222
+ ,9362.947368
+ ,9334.421053
+ ,11306.35294
+ ,11655.05882
+ ,10984.45
+ ,11080
+ ,10062.61905
+ ,9840.142857
+ ,8118.583333
+ ,7448.916667
+ ,8867.48
+ ,8362.6
+ ,8346.72
+ ,8465.64
+ ,8529.307692
+ ,8220.923077
+ ,10697.18182
+ ,10432.86364
+ ,8591.84
+ ,8537.4
+ ,8695.607143
+ ,8535.464286
+ ,8125.571429
+ ,7997.464286
+ ,7009.758621
+ ,6301.413793
+ ,7883.466667
+ ,7595.566667
+ ,7527.645161
+ ,7200.483871
+ ,6763.758621
+ ,6152.482759
+ ,6682.333333
+ ,6064.259259
+ ,7855.681818
+ ,7269.909091
+ ,6738.88
+ ,6578.44
+ ,7895.434783
+ ,7708.26087
+ ,6361.884615
+ ,6401.153846
+ ,6935.956522
+ ,7042.043478
+ ,8344.454545
+ ,8296.409091
+ ,9107.944444
+ ,9613.333333)
+ ,dim=c(2
+ ,60)
+ ,dimnames=list(c('Invoer/inflatie'
+ ,'Uitvoer/inflatie')
+ ,1:60))
>  y <- array(NA,dim=c(2,60),dimnames=list(c('Invoer/inflatie','Uitvoer/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/rcomp/tmp/1gr1n1257794261.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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 = 10.447, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.9254237 

> 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/rcomp/tmp/2hpp51257794261.tab") 
> 
> system("convert tmp/1gr1n1257794261.ps tmp/1gr1n1257794261.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.420   0.210   0.701