R version 2.8.1 (2008-12-22)
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.

R is a collaborative project with many contributors.
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(149
+ ,2.3
+ ,0.69144
+ ,110.8
+ ,139
+ ,1.9
+ ,0.69862
+ ,119.3
+ ,135
+ ,1.7
+ ,0.69500
+ ,128.1
+ ,130
+ ,2.5
+ ,0.69867
+ ,127.6
+ ,127
+ ,2.1
+ ,0.68968
+ ,137.9
+ ,122
+ ,2.4
+ ,0.69233
+ ,151.4
+ ,117
+ ,1.5
+ ,0.68293
+ ,143.6
+ ,112
+ ,1.9
+ ,0.68399
+ ,143.4
+ ,113
+ ,2.1
+ ,0.66895
+ ,141.9
+ ,149
+ ,2.2
+ ,0.68756
+ ,135.2
+ ,157
+ ,2.0
+ ,0.68527
+ ,133.1
+ ,157
+ ,2.0
+ ,0.67760
+ ,129.6
+ ,147
+ ,2.2
+ ,0.68137
+ ,134.1
+ ,137
+ ,2.3
+ ,0.67933
+ ,136.8
+ ,132
+ ,2.3
+ ,0.67922
+ ,143.5
+ ,125
+ ,2.0
+ ,0.68598
+ ,162.5
+ ,123
+ ,2.2
+ ,0.68297
+ ,163.1
+ ,117
+ ,1.9
+ ,0.68935
+ ,157.2
+ ,114
+ ,2.3
+ ,0.69463
+ ,158.8
+ ,111
+ ,2.2
+ ,0.68330
+ ,155.4
+ ,112
+ ,2.3
+ ,0.68666
+ ,148.5
+ ,144
+ ,2.1
+ ,0.68782
+ ,154.2
+ ,150
+ ,2.4
+ ,0.67669
+ ,153.3
+ ,149
+ ,2.3
+ ,0.67511
+ ,149.4
+ ,134
+ ,1.9
+ ,0.67254
+ ,147.9
+ ,123
+ ,1.6
+ ,0.67397
+ ,156.0
+ ,116
+ ,1.8
+ ,0.67286
+ ,163.0
+ ,117
+ ,1.8
+ ,0.66341
+ ,159.1
+ ,111
+ ,2.0
+ ,0.66800
+ ,159.5
+ ,105
+ ,2.3
+ ,0.68021
+ ,157.3
+ ,102
+ ,2.2
+ ,0.67934
+ ,156.4
+ ,95
+ ,2.2
+ ,0.68136
+ ,156.6
+ ,93
+ ,2.0
+ ,0.67562
+ ,162.4
+ ,124
+ ,2.0
+ ,0.67440
+ ,166.8
+ ,130
+ ,1.9
+ ,0.67766
+ ,162.6
+ ,124
+ ,1.5
+ ,0.68887
+ ,168.1
+ ,115
+ ,1.6
+ ,0.69614
+ ,171.3
+ ,106
+ ,1.5
+ ,0.70896
+ ,171.0
+ ,105
+ ,2.0
+ ,0.72064
+ ,178.7
+ ,105
+ ,1.5
+ ,0.74725
+ ,187.5
+ ,101
+ ,1.5
+ ,0.75094
+ ,211.4
+ ,95
+ ,1.9
+ ,0.77494
+ ,211.6
+ ,93
+ ,1.1
+ ,0.79487
+ ,199.4
+ ,84
+ ,1.5
+ ,0.79209
+ ,198.7
+ ,87
+ ,2.1
+ ,0.79152
+ ,209.3
+ ,116
+ ,2.3
+ ,0.79308
+ ,215.5
+ ,120
+ ,2.6
+ ,0.79279
+ ,212.8
+ ,117
+ ,2.9
+ ,0.79924
+ ,203.2
+ ,109
+ ,3.2
+ ,0.78668
+ ,175.7
+ ,105
+ ,3.2
+ ,0.83063
+ ,171.0
+ ,107
+ ,3.1
+ ,0.90448
+ ,172.5
+ ,109
+ ,3.0
+ ,0.91819
+ ,183.5
+ ,109
+ ,3.3
+ ,0.88691
+ ,185.4
+ ,108
+ ,2.7
+ ,0.91966
+ ,180.9
+ ,107
+ ,3.6
+ ,0.89756
+ ,187.3
+ ,99
+ ,3.1
+ ,0.88444
+ ,202.0
+ ,103
+ ,2.7
+ ,0.85670
+ ,203.3
+ ,131
+ ,2.6
+ ,0.86092
+ ,205.8
+ ,137
+ ,2.2
+ ,0.86265
+ ,221.5
+ ,135
+ ,2.7
+ ,0.89135
+ ,226.6)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('WLH'
+ ,'HICP'
+ ,'PS/EU'
+ ,'PI')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('WLH','HICP','PS/EU','PI'),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/rcomp/tmp/1a5rx1258036714.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=4.1666666666667) 
> 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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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 = 0.1603, p-value = 0.8726
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
0.01473216 

> 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/rcomp/tmp/24kxi1258036714.tab") 
> system("convert tmp/1a5rx1258036714.ps tmp/1a5rx1258036714.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.480   0.390   0.777