R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
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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(1.43
+ ,103.52
+ ,0.3
+ ,0.51
+ ,1.43
+ ,103.5
+ ,2.1
+ ,0.51
+ ,1.43
+ ,103.52
+ ,2.5
+ ,0.51
+ ,1.43
+ ,103.53
+ ,2.3
+ ,0.51
+ ,1.43
+ ,103.53
+ ,2.4
+ ,0.51
+ ,1.43
+ ,103.53
+ ,3
+ ,0.51
+ ,1.43
+ ,103.52
+ ,1.7
+ ,0.51
+ ,1.43
+ ,103.54
+ ,3.5
+ ,0.51
+ ,1.43
+ ,103.59
+ ,4
+ ,0.5
+ ,1.43
+ ,103.59
+ ,3.7
+ ,0.51
+ ,1.43
+ ,103.59
+ ,3.7
+ ,0.51
+ ,1.43
+ ,103.59
+ ,3
+ ,0.5
+ ,1.43
+ ,103.63
+ ,2.7
+ ,0.51
+ ,1.43
+ ,103.74
+ ,2.5
+ ,0.51
+ ,1.43
+ ,103.7
+ ,2.2
+ ,0.51
+ ,1.43
+ ,103.72
+ ,2.9
+ ,0.51
+ ,1.43
+ ,103.81
+ ,3.1
+ ,0.52
+ ,1.43
+ ,103.8
+ ,3
+ ,0.52
+ ,1.44
+ ,104.22
+ ,2.8
+ ,0.52
+ ,1.48
+ ,106.91
+ ,2.5
+ ,0.53
+ ,1.48
+ ,107.06
+ ,1.9
+ ,0.53
+ ,1.48
+ ,107.17
+ ,1.9
+ ,0.52
+ ,1.48
+ ,107.25
+ ,1.8
+ ,0.52
+ ,1.48
+ ,107.28
+ ,2
+ ,0.52
+ ,1.48
+ ,107.24
+ ,2.6
+ ,0.52
+ ,1.48
+ ,107.23
+ ,2.5
+ ,0.52
+ ,1.48
+ ,107.34
+ ,2.5
+ ,0.52
+ ,1.48
+ ,107.34
+ ,1.6
+ ,0.52
+ ,1.48
+ ,107.3
+ ,1.4
+ ,0.52
+ ,1.48
+ ,107.24
+ ,0.8
+ ,0.52
+ ,1.48
+ ,107.3
+ ,1.1
+ ,0.52
+ ,1.48
+ ,107.32
+ ,1.3
+ ,0.53
+ ,1.48
+ ,107.28
+ ,1.2
+ ,0.53
+ ,1.48
+ ,107.33
+ ,1.3
+ ,0.53
+ ,1.48
+ ,107.33
+ ,1.1
+ ,0.54
+ ,1.48
+ ,107.33
+ ,1.3
+ ,0.54
+ ,1.48
+ ,107.28
+ ,1.2
+ ,0.54
+ ,1.48
+ ,107.28
+ ,1.6
+ ,0.54
+ ,1.48
+ ,107.29
+ ,1.7
+ ,0.54
+ ,1.48
+ ,107.29
+ ,1.5
+ ,0.54
+ ,1.48
+ ,107.23
+ ,0.9
+ ,0.54
+ ,1.48
+ ,107.24
+ ,1.5
+ ,0.54
+ ,1.48
+ ,107.24
+ ,1.4
+ ,0.54
+ ,1.48
+ ,107.2
+ ,1.6
+ ,0.54
+ ,1.48
+ ,107.23
+ ,1.7
+ ,0.53
+ ,1.48
+ ,107.2
+ ,1.4
+ ,0.53
+ ,1.48
+ ,107.21
+ ,1.8
+ ,0.53
+ ,1.48
+ ,107.24
+ ,1.7
+ ,0.53
+ ,1.48
+ ,107.21
+ ,1.4
+ ,0.53
+ ,1.57
+ ,113.89
+ ,1.2
+ ,0.54
+ ,1.58
+ ,114.05
+ ,1
+ ,0.55
+ ,1.58
+ ,114.05
+ ,1.7
+ ,0.55
+ ,1.58
+ ,114.05
+ ,2.4
+ ,0.55
+ ,1.58
+ ,114.05
+ ,2
+ ,0.55
+ ,1.59
+ ,115.12
+ ,2.1
+ ,0.55
+ ,1.6
+ ,115.68
+ ,2
+ ,0.55
+ ,1.6
+ ,116.05
+ ,1.8
+ ,0.55
+ ,1.61
+ ,116.18
+ ,2.7
+ ,0.55
+ ,1.61
+ ,116.35
+ ,2.3
+ ,0.56
+ ,1.61
+ ,116.44
+ ,1.9
+ ,0.56
+ ,1.62
+ ,117
+ ,2
+ ,0.56
+ ,1.63
+ ,117.61
+ ,2.3
+ ,0.56
+ ,1.63
+ ,118.17
+ ,2.8
+ ,0.56
+ ,1.64
+ ,118.33
+ ,2.4
+ ,0.55
+ ,1.64
+ ,118.33
+ ,2.3
+ ,0.56
+ ,1.64
+ ,118.42
+ ,2.7
+ ,0.55
+ ,1.64
+ ,118.5
+ ,2.7
+ ,0.55
+ ,1.64
+ ,118.67
+ ,2.9
+ ,0.56
+ ,1.65
+ ,119.09
+ ,3
+ ,0.55
+ ,1.65
+ ,119.14
+ ,2.2
+ ,0.55
+ ,1.65
+ ,119.23
+ ,2.3
+ ,0.55
+ ,1.65
+ ,119.33
+ ,2.8
+ ,0.55)
+ ,dim=c(4
+ ,72)
+ ,dimnames=list(c('iptot'
+ ,'ipkl'
+ ,'pkl'
+ ,'invkl')
+ ,1:72))
>  y <- array(NA,dim=c(4,72),dimnames=list(c('iptot','ipkl','pkl','invkl'),1:72))
>  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/14olr1258032582.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] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 9.9068, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.8793786 

> 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/232er1258032582.tab") 
> 
> system("convert tmp/14olr1258032582.ps tmp/14olr1258032582.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.512   0.233   0.620