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(130.3,485,130.9,464,104.7,460,115.2,467,124.5,460,112.3,448,127.5,443,120.6,436,117.5,431,117.7,484,120.4,510,125,513,131.6,503,121.1,471,114.2,471,112.1,476,127,475,116.8,470,112,461,129.7,455,113.6,456,115.7,517,119.5,525,125.8,523,129.6,519,128,509,112.8,512,101.6,519,123.9,517,118.8,510,109.1,509,130.6,501,112.4,507,111,569,116.2,580,119.8,578,117.2,565,127.3,547,107.7,555,97.5,562,120.1,561,110.6,555,111.3,544,119.8,537,105.5,543,108.7,594,128.7,611,119.5,613,121.1,611,128.4,594,108.8,595,107.5,591,125.6,589,102.9,584,107.5,573,120.4,567,104.3,569,100.6,621,121.9,629,112.7,628,124.9,612,123.9,595,102.2,597,104.9,593,109.8,590,98.9,580,107.3,574,112.6,573,104,573,110.6,620,100.8,626,103.8,620,117,588,108.4,566,95.5,557,96.9,561,103.9,549,101.1,532,100.6,526,104.3,511,98,499,99.5,555,97.4,565,105.6,542,117.5,527,107.4,510,97.8,514,91.5,517,107.7,508,100.1,493,96.6,490,106.8,469,98,478,98.6,528),dim=c(2,94),dimnames=list(c('PROD','WLH'),1:94))
>  y <- array(NA,dim=c(2,94),dimnames=list(c('PROD','WLH'),1:94))
>  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/15pzo1229900504.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 = -1.5126, p-value = 0.1304
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
-0.1063635 

> 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/2eock1229900505.tab") 
> 
> system("convert tmp/15pzo1229900504.ps tmp/15pzo1229900504.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.411   0.192   0.477