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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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(8.9
+ ,1.6
+ ,90398
+ ,3633
+ ,180600
+ ,8.8
+ ,1.8
+ ,90269
+ ,3597
+ ,179835
+ ,8.3
+ ,1.6
+ ,90390
+ ,3600
+ ,179390
+ ,7.5
+ ,1.5
+ ,88219
+ ,3522
+ ,181871
+ ,7.2
+ ,1.5
+ ,87032
+ ,3503
+ ,175153
+ ,7.4
+ ,1.3
+ ,87175
+ ,3532
+ ,177709
+ ,8.8
+ ,1.4
+ ,92603
+ ,3686
+ ,190370
+ ,9.3
+ ,1.4
+ ,93571
+ ,3748
+ ,193423
+ ,9.3
+ ,1.3
+ ,94118
+ ,3672
+ ,193211
+ ,8.7
+ ,1.3
+ ,92159
+ ,3843
+ ,192691
+ ,8.2
+ ,1.2
+ ,89528
+ ,3905
+ ,188728
+ ,8.3
+ ,1.1
+ ,89955
+ ,3999
+ ,192632
+ ,8.5
+ ,1.4
+ ,89587
+ ,4070
+ ,192977
+ ,8.6
+ ,1.2
+ ,89488
+ ,4084
+ ,192941
+ ,8.5
+ ,1.5
+ ,88521
+ ,4042
+ ,192822
+ ,8.2
+ ,1.1
+ ,86587
+ ,3951
+ ,189644
+ ,8.1
+ ,1.3
+ ,85159
+ ,3933
+ ,189056
+ ,7.9
+ ,1.5
+ ,84915
+ ,3958
+ ,190574
+ ,8.6
+ ,1.1
+ ,91378
+ ,4147
+ ,204210
+ ,8.7
+ ,1.4
+ ,92729
+ ,4221
+ ,204888
+ ,8.7
+ ,1.3
+ ,92194
+ ,4058
+ ,201858
+ ,8.5
+ ,1.5
+ ,89664
+ ,4057
+ ,197077
+ ,8.4
+ ,1.6
+ ,86285
+ ,4089
+ ,192734
+ ,8.5
+ ,1.7
+ ,86858
+ ,4268
+ ,196020
+ ,8.7
+ ,1.1
+ ,87184
+ ,4309
+ ,197603
+ ,8.7
+ ,1.6
+ ,86629
+ ,4303
+ ,197965
+ ,8.6
+ ,1.3
+ ,85220
+ ,4177
+ ,195756
+ ,8.5
+ ,1.7
+ ,84816
+ ,4117
+ ,195182
+ ,8.3
+ ,1.6
+ ,84831
+ ,4065
+ ,195728
+ ,8
+ ,1.7
+ ,84957
+ ,3983
+ ,196950
+ ,8.2
+ ,1.9
+ ,90951
+ ,4091
+ ,210029
+ ,8.1
+ ,1.8
+ ,92134
+ ,4067
+ ,211516
+ ,8.1
+ ,1.9
+ ,91790
+ ,4024
+ ,205624
+ ,8
+ ,1.6
+ ,86625
+ ,3868
+ ,195776
+ ,7.9
+ ,1.5
+ ,83324
+ ,3800
+ ,189706
+ ,7.9
+ ,1.6
+ ,82719
+ ,3804
+ ,190040
+ ,8
+ ,1.6
+ ,83614
+ ,3862
+ ,191434
+ ,8
+ ,1.7
+ ,81640
+ ,3792
+ ,187925
+ ,7.9
+ ,2
+ ,78665
+ ,3674
+ ,182239
+ ,8
+ ,2
+ ,77828
+ ,3560
+ ,182031
+ ,7.7
+ ,1.9
+ ,75728
+ ,3489
+ ,178459
+ ,7.2
+ ,1.7
+ ,72187
+ ,3412
+ ,173278
+ ,7.5
+ ,1.8
+ ,79357
+ ,3674
+ ,191660
+ ,7.3
+ ,1.9
+ ,81329
+ ,3672
+ ,194075
+ ,7
+ ,1.7
+ ,77304
+ ,3463
+ ,181591
+ ,7
+ ,2
+ ,75576
+ ,3429
+ ,177660
+ ,7
+ ,2.1
+ ,72932
+ ,3400
+ ,172607
+ ,7.2
+ ,2.4
+ ,74291
+ ,3533
+ ,176520
+ ,7.3
+ ,2.5
+ ,74988
+ ,3578
+ ,177271
+ ,7.1
+ ,2.5
+ ,73302
+ ,3544
+ ,174540
+ ,6.8
+ ,2.6
+ ,70483
+ ,3435
+ ,170148
+ ,6.4
+ ,2.2
+ ,69848
+ ,3352
+ ,169799
+ ,6.1
+ ,2.5
+ ,66466
+ ,3213
+ ,163249
+ ,6.5
+ ,2.8
+ ,67610
+ ,3235
+ ,167363
+ ,7.7
+ ,2.8
+ ,75091
+ ,3460
+ ,185332
+ ,7.9
+ ,2.9
+ ,76207
+ ,3385
+ ,185969
+ ,7.5
+ ,3
+ ,73454
+ ,3283
+ ,174955
+ ,6.9
+ ,3.1
+ ,72008
+ ,3295
+ ,172088
+ ,6.6
+ ,2.9
+ ,71362
+ ,3331
+ ,172037
+ ,6.9
+ ,2.7
+ ,74250
+ ,3520
+ ,179351)
+ ,dim=c(5
+ ,60)
+ ,dimnames=list(c('graad'
+ ,'inflatie'
+ ,'leeftijd'
+ ,'landbouw'
+ ,'diensten')
+ ,1:60))
>  y <- array(NA,dim=c(5,60),dimnames=list(c('graad','inflatie','leeftijd','landbouw','diensten'),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/1lgn11257682901.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] 5
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = -5.5811, p-value = 2.39e-08
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
-0.5161984 

> 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/2n9jg1257682901.tab") 
> 
> system("convert tmp/1lgn11257682901.ps tmp/1lgn11257682901.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.580   0.490   1.072