R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(162
+ ,449
+ ,8
+ ,11.1
+ ,161
+ ,452
+ ,8.1
+ ,10.9
+ ,149
+ ,462
+ ,7.7
+ ,10
+ ,139
+ ,455
+ ,7.5
+ ,9.2
+ ,135
+ ,461
+ ,7.6
+ ,9.2
+ ,130
+ ,461
+ ,7.8
+ ,9.5
+ ,127
+ ,463
+ ,7.8
+ ,9.6
+ ,122
+ ,462
+ ,7.8
+ ,9.5
+ ,117
+ ,456
+ ,7.5
+ ,9.1
+ ,112
+ ,455
+ ,7.5
+ ,8.9
+ ,113
+ ,456
+ ,7.1
+ ,9
+ ,149
+ ,472
+ ,7.5
+ ,10.1
+ ,157
+ ,472
+ ,7.5
+ ,10.3
+ ,157
+ ,471
+ ,7.6
+ ,10.2
+ ,147
+ ,465
+ ,7.7
+ ,9.6
+ ,137
+ ,459
+ ,7.7
+ ,9.2
+ ,132
+ ,465
+ ,7.9
+ ,9.3
+ ,125
+ ,468
+ ,8.1
+ ,9.4
+ ,123
+ ,467
+ ,8.2
+ ,9.4
+ ,117
+ ,463
+ ,8.2
+ ,9.2
+ ,114
+ ,460
+ ,8.2
+ ,9
+ ,111
+ ,462
+ ,7.9
+ ,9
+ ,112
+ ,461
+ ,7.3
+ ,9
+ ,144
+ ,476
+ ,6.9
+ ,9.8
+ ,150
+ ,476
+ ,6.6
+ ,10
+ ,149
+ ,471
+ ,6.7
+ ,9.8
+ ,134
+ ,453
+ ,6.9
+ ,9.3
+ ,123
+ ,443
+ ,7
+ ,9
+ ,116
+ ,442
+ ,7.1
+ ,9
+ ,117
+ ,444
+ ,7.2
+ ,9.1
+ ,111
+ ,438
+ ,7.1
+ ,9.1
+ ,105
+ ,427
+ ,6.9
+ ,9.1
+ ,102
+ ,424
+ ,7
+ ,9.2
+ ,95
+ ,416
+ ,6.8
+ ,8.8
+ ,93
+ ,406
+ ,6.4
+ ,8.3
+ ,124
+ ,431
+ ,6.7
+ ,8.4
+ ,130
+ ,434
+ ,6.6
+ ,8.1
+ ,124
+ ,418
+ ,6.4
+ ,7.7
+ ,115
+ ,412
+ ,6.3
+ ,7.9
+ ,106
+ ,404
+ ,6.2
+ ,7.9
+ ,105
+ ,409
+ ,6.5
+ ,8
+ ,105
+ ,412
+ ,6.8
+ ,7.9
+ ,101
+ ,406
+ ,6.8
+ ,7.6
+ ,95
+ ,398
+ ,6.4
+ ,7.1
+ ,93
+ ,397
+ ,6.1
+ ,6.8
+ ,84
+ ,385
+ ,5.8
+ ,6.5
+ ,87
+ ,390
+ ,6.1
+ ,6.9
+ ,116
+ ,413
+ ,7.2
+ ,8.2
+ ,120
+ ,413
+ ,7.3
+ ,8.7
+ ,117
+ ,401
+ ,6.9
+ ,8.3
+ ,109
+ ,397
+ ,6.1
+ ,7.9
+ ,105
+ ,397
+ ,5.8
+ ,7.5
+ ,107
+ ,409
+ ,6.2
+ ,7.8
+ ,109
+ ,419
+ ,7.1
+ ,8.3
+ ,109
+ ,424
+ ,7.7
+ ,8.4
+ ,108
+ ,428
+ ,7.9
+ ,8.2
+ ,107
+ ,430
+ ,7.7
+ ,7.7
+ ,99
+ ,424
+ ,7.4
+ ,7.2
+ ,103
+ ,433
+ ,7.5
+ ,7.3
+ ,131
+ ,456
+ ,8
+ ,8.1
+ ,137
+ ,459
+ ,8.1
+ ,8.5)
+ ,dim=c(4
+ ,61)
+ ,dimnames=list(c('wlh>25j'
+ ,'wlh<25j'
+ ,'wzkmannen'
+ ,'wzkvrouwen')
+ ,1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('wlh>25j','wlh<25j','wzkmannen','wzkvrouwen'),1:61))
>  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/freestat/rcomp/tmp/1icei1257757690.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/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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 = 6.5422, p-value = 6.06e-11
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.5825245 

> 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/freestat/rcomp/tmp/28ak41257757690.tab") 
> 
> system("convert tmp/1icei1257757690.ps tmp/1icei1257757690.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.702   0.276   0.783