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(467,101.0,460,98.7,448,105.1,443,98.4,436,101.7,431,102.9,484,92.2,510,94.9,513,92.8,503,98.5,471,94.3,471,87.4,476,103.4,475,101.2,470,109.6,461,111.9,455,108.9,456,105.6,517,107.8,525,97.5,523,102.4,519,105.6,509,99.8,512,96.2,519,113.1,517,107.4,510,116.8,509,112.9,501,105.3,507,109.3,569,107.9,580,101.1,578,114.7,565,116.2,547,108.4,555,113.4,562,108.7,561,112.6,555,124.2,544,114.9,537,110.5,543,121.5,594,118.1,611,111.7,613,132.7,611,119.0,594,116.7,595,120.1,591,113.4,589,106.6,584,116.3,573,112.6,567,111.6,569,125.1,621,110.7,629,109.6,628,114.2,612,113.4,595,116.0,597,109.6,593,117.8,590,115.8,580,125.3,574,113.0,573,120.5,573,116.6,620,111.8,626,115.2,620,118.6,588,122.4,566,116.4,557,114.5,561,119.8,549,115.8,532,127.8,526,118.8,511,119.7,499,118.6,555,120.8,565,115.9,542,109.7,527,114.8,510,116.2,514,112.2),dim=c(2,84),dimnames=list(c('U','productie'),1:84))
>  y <- array(NA,dim=c(2,84),dimnames=list(c('U','productie'),1:84))
>  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/1tocj1228817627.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 = 4.8379, p-value = 1.312e-06
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.3608073 

> 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/20dw91228817628.tab") 
> 
> system("convert tmp/1tocj1228817627.ps tmp/1tocj1228817627.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.443   0.197   0.583