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

R is free software and comes with ABSOLUTELY NO WARRANTY.
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
'citation()' on how to cite R or R packages in publications.

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(121.6
+ ,116.2
+ ,91.8
+ ,124.1
+ ,118.8
+ ,111.2
+ ,93.2
+ ,127.6
+ ,114.0
+ ,105.8
+ ,86.5
+ ,110.7
+ ,111.5
+ ,122.7
+ ,98.9
+ ,104.6
+ ,97.2
+ ,99.5
+ ,77.2
+ ,112.7
+ ,102.5
+ ,107.9
+ ,79.4
+ ,115.3
+ ,113.4
+ ,124.6
+ ,90.4
+ ,139.4
+ ,109.8
+ ,115.0
+ ,81.4
+ ,119.0
+ ,104.9
+ ,110.3
+ ,85.8
+ ,97.4
+ ,126.1
+ ,132.7
+ ,103.6
+ ,154.0
+ ,80.0
+ ,99.7
+ ,73.6
+ ,81.5
+ ,96.8
+ ,96.5
+ ,75.7
+ ,88.8
+ ,117.2
+ ,118.7
+ ,99.2
+ ,127.7
+ ,112.3
+ ,112.9
+ ,88.7
+ ,105.1
+ ,117.3
+ ,130.5
+ ,94.6
+ ,114.9
+ ,111.1
+ ,137.9
+ ,98.7
+ ,106.4
+ ,102.2
+ ,115.0
+ ,84.2
+ ,104.5
+ ,104.3
+ ,116.8
+ ,87.7
+ ,121.6
+ ,122.9
+ ,140.9
+ ,103.3
+ ,141.4
+ ,107.6
+ ,120.7
+ ,88.2
+ ,99.0
+ ,121.3
+ ,134.2
+ ,93.4
+ ,126.7
+ ,131.5
+ ,147.3
+ ,106.3
+ ,134.1
+ ,89.0
+ ,112.4
+ ,73.1
+ ,81.3
+ ,104.4
+ ,107.1
+ ,78.6
+ ,88.6
+ ,128.9
+ ,128.4
+ ,101.6
+ ,132.7
+ ,135.9
+ ,137.7
+ ,101.4
+ ,132.9
+ ,133.3
+ ,135.0
+ ,98.5
+ ,134.4
+ ,121.3
+ ,151.0
+ ,99.0
+ ,103.7
+ ,120.5
+ ,137.4
+ ,89.5
+ ,119.7
+ ,120.4
+ ,132.4
+ ,83.5
+ ,115.0
+ ,137.9
+ ,161.3
+ ,97.4
+ ,132.9
+ ,126.1
+ ,139.8
+ ,87.8
+ ,108.5
+ ,133.2
+ ,146.0
+ ,90.4
+ ,113.9
+ ,151.1
+ ,166.5
+ ,101.6
+ ,142.0
+ ,105.0
+ ,143.3
+ ,80.0
+ ,97.7
+ ,119.0
+ ,121.0
+ ,81.7
+ ,92.2
+ ,140.4
+ ,152.6
+ ,96.4
+ ,128.8
+ ,156.6
+ ,154.4
+ ,110.2
+ ,134.9
+ ,137.1
+ ,154.6
+ ,101.1
+ ,128.2
+ ,122.7
+ ,158.0
+ ,89.3
+ ,114.8
+ ,125.8
+ ,142.6
+ ,90.0
+ ,117.9
+ ,139.3
+ ,153.4
+ ,95.4
+ ,119.1
+ ,134.9
+ ,163.4
+ ,100.3
+ ,120.7
+ ,149.2
+ ,167.3
+ ,99.5
+ ,129.1
+ ,132.3
+ ,154.8
+ ,93.9
+ ,117.6
+ ,149.0
+ ,165.7
+ ,100.6
+ ,129.2
+ ,117.2
+ ,144.7
+ ,84.7
+ ,100.0
+ ,119.6
+ ,120.9
+ ,81.6
+ ,87.0
+ ,152.0
+ ,152.8
+ ,109.0
+ ,128.0
+ ,149.4
+ ,160.2
+ ,99.0
+ ,127.7
+ ,127.3
+ ,128.3
+ ,81.1
+ ,93.4
+ ,114.1
+ ,150.5
+ ,81.8
+ ,84.1
+ ,102.1
+ ,117.0
+ ,66.5
+ ,71.7
+ ,107.7
+ ,116.0
+ ,66.4
+ ,83.2
+ ,104.4
+ ,133.3
+ ,86.3
+ ,89.1
+ ,102.1
+ ,116.4
+ ,73.6
+ ,79.6
+ ,96.0
+ ,104.0
+ ,71.5
+ ,62.8
+ ,109.3
+ ,126.6
+ ,87.2
+ ,95.1
+ ,90.0
+ ,92.9
+ ,65.3
+ ,63.6
+ ,83.9
+ ,83.6
+ ,69.7
+ ,61.4)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('Promet'
+ ,'Maapwe'
+ ,'Elelap'
+ ,'Transp')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('Promet','Maapwe','Elelap','Transp'),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/html/freestat/rcomp/tmp/1qe7r1258034778.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 = 7.3738, p-value = 1.659e-13
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6542166 

> 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/2468j1258034778.tab") 
> 
> system("convert tmp/1qe7r1258034778.ps tmp/1qe7r1258034778.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.706   0.292   0.790