R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(108.01
+ ,102.9
+ ,128
+ ,79.1
+ ,101.21
+ ,97.4
+ ,123.5
+ ,71.7
+ ,119.93
+ ,111.4
+ ,124
+ ,100
+ ,94.76
+ ,87.4
+ ,127.4
+ ,82.1
+ ,95.26
+ ,96.8
+ ,127.6
+ ,74.8
+ ,117.96
+ ,114.1
+ ,128.4
+ ,92.3
+ ,115.86
+ ,110.3
+ ,131.4
+ ,83.3
+ ,111.44
+ ,103.9
+ ,135.1
+ ,83.7
+ ,108.16
+ ,101.6
+ ,134
+ ,148
+ ,108.77
+ ,94.6
+ ,144.5
+ ,71.4
+ ,109.45
+ ,95.9
+ ,147.3
+ ,71.2
+ ,124.83
+ ,104.7
+ ,150.9
+ ,84.6
+ ,115.31
+ ,102.8
+ ,148.7
+ ,80.9
+ ,109.49
+ ,98.1
+ ,141.4
+ ,80.6
+ ,124.24
+ ,113.9
+ ,138.9
+ ,105.5
+ ,92.85
+ ,80.9
+ ,139.8
+ ,79.2
+ ,98.42
+ ,95.7
+ ,145.6
+ ,78.4
+ ,120.88
+ ,113.2
+ ,147.9
+ ,92.6
+ ,111.72
+ ,105.9
+ ,148.5
+ ,88.3
+ ,116.1
+ ,108.8
+ ,151.1
+ ,98.2
+ ,109.37
+ ,102.3
+ ,157.5
+ ,157.4
+ ,111.65
+ ,99
+ ,167.5
+ ,73.9
+ ,114.29
+ ,100.7
+ ,172.3
+ ,80.9
+ ,133.68
+ ,115.5
+ ,173.5
+ ,93
+ ,114.27
+ ,100.7
+ ,187.5
+ ,84.9
+ ,126.49
+ ,109.9
+ ,205.5
+ ,96.2
+ ,131
+ ,114.6
+ ,195.1
+ ,106.5
+ ,104
+ ,85.4
+ ,204.5
+ ,81.7
+ ,108.88
+ ,100.5
+ ,204.5
+ ,82.9
+ ,128.48
+ ,114.8
+ ,201.7
+ ,96
+ ,132.44
+ ,116.5
+ ,207
+ ,92.6
+ ,128.04
+ ,112.9
+ ,206.6
+ ,116.5
+ ,116.35
+ ,102
+ ,210.6
+ ,155
+ ,120.93
+ ,106
+ ,211.1
+ ,95.1
+ ,118.59
+ ,105.3
+ ,215
+ ,86.2
+ ,133.1
+ ,118.8
+ ,223.9
+ ,105
+ ,121.05
+ ,106.1
+ ,238.2
+ ,89.7
+ ,127.62
+ ,109.3
+ ,238.9
+ ,97.1
+ ,135.44
+ ,117.2
+ ,229.6
+ ,120.8
+ ,114.88
+ ,92.5
+ ,232.2
+ ,92.2
+ ,114.34
+ ,104.2
+ ,222.1
+ ,98.8
+ ,128.85
+ ,112.5
+ ,221.6
+ ,104.1
+ ,138.9
+ ,122.4
+ ,227.3
+ ,106.5
+ ,129.44
+ ,113.3
+ ,221
+ ,113.4
+ ,114.96
+ ,100
+ ,213.6
+ ,192.4
+ ,127.98
+ ,110.7
+ ,243.4
+ ,103.6
+ ,127.03
+ ,112.8
+ ,253.8
+ ,97.6
+ ,128.75
+ ,109.8
+ ,265.3
+ ,99.9
+ ,137.91
+ ,117.3
+ ,268.2
+ ,106.4
+ ,128.37
+ ,109.1
+ ,268.5
+ ,104.8
+ ,135.9
+ ,115.9
+ ,266.9
+ ,114.1
+ ,122.19
+ ,96
+ ,268.4
+ ,93
+ ,113.08
+ ,99.8
+ ,250.8
+ ,90.2
+ ,136.2
+ ,116.8
+ ,231.2
+ ,108.8
+ ,138
+ ,115.7
+ ,192
+ ,108.7
+ ,115.24
+ ,99.4
+ ,171.4
+ ,125.2
+ ,110.95
+ ,94.3
+ ,160
+ ,180.4
+ ,99.23
+ ,91
+ ,148.1
+ ,91.6
+ ,102.39
+ ,93.2
+ ,144.8
+ ,87.1
+ ,112.67
+ ,103.1
+ ,147.2
+ ,98.3)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('iotot'
+ ,'iptot'
+ ,'gp'
+ ,'invi')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('iotot','iptot','gp','invi'),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/1x06p1257757697.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/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 = 8.132, p-value = 4.441e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.7205426 

> 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/2hyiq1257757697.tab") 
> 
> system("convert tmp/1x06p1257757697.ps tmp/1x06p1257757697.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.490   0.400   0.798