R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(60635408600
+ ,79717000
+ ,64463389370
+ ,82855667
+ ,66750859382
+ ,79346667
+ ,69032584255.95
+ ,76270333
+ ,72841303906.58
+ ,89532667
+ ,72838685607.53
+ ,83541333
+ ,75887977453.76
+ ,82456000
+ ,78936158549.66
+ ,85818333
+ ,81986612544.38
+ ,92106667
+ ,85038924238.38
+ ,96873333
+ ,87328862789.67
+ ,96580000
+ ,85794984680.72
+ ,87769000
+ ,88082838620.17
+ ,88396000
+ ,91885510657.4
+ ,90995667
+ ,96355573323.8
+ ,92785000
+ ,101321342608.8
+ ,98112667
+ ,105791395836.8
+ ,105779667
+ ,113241494103
+ ,103660333
+ ,117215849652.8
+ ,105435000
+ ,120940898880.6
+ ,105204000
+ ,125658810316.5
+ ,107466333
+ ,130873880200.8
+ ,118554333
+ ,139583536623.4
+ ,123614333
+ ,148226520849
+ ,125620000
+ ,153789461350
+ ,121524333
+ ,161871513310.4
+ ,130830333
+ ,171781295610.4
+ ,138871333
+ ,178996585758.2
+ ,135215667
+ ,176620960002
+ ,122096333
+ ,186604680395
+ ,130005333
+ ,187772917033.2
+ ,126566000
+ ,193109744878.6
+ ,134808667
+ ,197630528464
+ ,138761333
+ ,206483683756.4
+ ,133778333
+ ,203906590621.6
+ ,122598667
+ ,206783719069.34
+ ,116446000
+ ,206759082201.76
+ ,100745333
+ ,211878483671.4
+ ,104419333
+ ,214009149959
+ ,103477000
+ ,217203709135.4
+ ,102054333
+ ,222331811922.6
+ ,102446667
+ ,232825724880
+ ,99528000
+ ,241180274038.7
+ ,106549667
+ ,248494123822.1
+ ,107587333
+ ,253049202253.08
+ ,117091333
+ ,256922518700.16
+ ,114029667
+ ,254451243638.75
+ ,109721333
+ ,262662316800.94
+ ,114697000
+ ,268926171539.67
+ ,115063667
+ ,272037080259.13
+ ,121234667
+ ,281118338865.04
+ ,118393000
+ ,286389613939.39
+ ,121308000
+ ,296190694318.91
+ ,117579000
+ ,307294826961.69
+ ,117414000
+ ,309697986635.6
+ ,117740333
+ ,314369521231.48
+ ,109417000
+ ,317533640477.42
+ ,116442333
+ ,327005697520.69
+ ,113311000
+ ,332458473876
+ ,109391333
+ ,339794119726.27
+ ,107198667)
+ ,dim=c(2
+ ,60)
+ ,dimnames=list(c('GDP'
+ ,'Co2')
+ ,1:60))
>  y <- array(NA,dim=c(2,60),dimnames=list(c('GDP','Co2'),1:60))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'kendall'
> main = 'Correlation Matrix'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$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/1d4n11321032450.ps",horizontal=F,onefile=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")
> 
> n <- length(y[,1])
> n
[1] 2
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/2zwz81321032450.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'pair',1,TRUE)
> a<-table.element(a,'Pearson r',1,TRUE)
> a<-table.element(a,'Spearman rho',1,TRUE)
> a<-table.element(a,'Kendall tau',1,TRUE)
> a<-table.row.end(a)
> cor.test(y[1,],y[2,],method=par1)

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 4.4645, p-value = 8.024e-06
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.3954802 

> for (i in 1:(n-1))
+ {
+ for (j in (i+1):n)
+ {
+ a<-table.row.start(a)
+ dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
+ a<-table.element(a,dum,header=TRUE)
+ rp <- cor.test(y[i,],y[j,],method='pearson')
+ a<-table.element(a,round(rp$estimate,4))
+ rs <- cor.test(y[i,],y[j,],method='spearman')
+ a<-table.element(a,round(rs$estimate,4))
+ rk <- cor.test(y[i,],y[j,],method='kendall')
+ a<-table.element(a,round(rk$estimate,4))
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-value',header=T)
+ a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
+ a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
+ a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
+ a<-table.row.end(a)
+ }
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/36pnh1321032450.tab") 
> 
> try(system("convert tmp/1d4n11321032450.ps tmp/1d4n11321032450.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.790   0.030   0.824