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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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- array(list(4606.07
+ ,54.64
+ ,14.36
+ ,4176.60
+ ,52.39
+ ,14.62
+ ,4331.53
+ ,52.51
+ ,13.51
+ ,3987.30
+ ,52.92
+ ,14.95
+ ,4205.86
+ ,55.22
+ ,16.72
+ ,4331.37
+ ,55.41
+ ,16.33
+ ,4106.30
+ ,57.02
+ ,15.21
+ ,4009.33
+ ,58.55
+ ,16.69
+ ,3857.64
+ ,57.49
+ ,15.81
+ ,3929.00
+ ,55.52
+ ,16.02
+ ,4210.47
+ ,57.84
+ ,16.7
+ ,4445.82
+ ,58.69
+ ,15.99
+ ,4497.07
+ ,59.74
+ ,17.68
+ ,4443.71
+ ,60.7
+ ,18.89
+ ,4529.25
+ ,60.74
+ ,18.72
+ ,4634.22
+ ,64.32
+ ,21.14
+ ,4772.67
+ ,66.9
+ ,20.97
+ ,4881.52
+ ,70.93
+ ,23.75
+ ,5153.13
+ ,75.89
+ ,23.05
+ ,5324.19
+ ,80.6
+ ,23.45
+ ,5209.36
+ ,81.39
+ ,21.74
+ ,5108.92
+ ,81.33
+ ,19.37
+ ,5130.88
+ ,77.04
+ ,21.1
+ ,5195.68
+ ,79.54
+ ,21.2
+ ,5050.42
+ ,81.93
+ ,22.67
+ ,5101.03
+ ,80.79
+ ,22.24
+ ,5139.84
+ ,81.98
+ ,23.78
+ ,5234.31
+ ,85.94
+ ,23.27
+ ,5435.73
+ ,86.6
+ ,25.74
+ ,5633.57
+ ,87.42
+ ,26.1
+ ,5498.28
+ ,93.14
+ ,27.49
+ ,5668.13
+ ,95.76
+ ,31.41
+ ,5537.64
+ ,99.75
+ ,28.79
+ ,5442.78
+ ,97.71
+ ,26.76
+ ,5491.50
+ ,94.99
+ ,26.41
+ ,5501.20
+ ,96.41
+ ,27.05
+ ,5658.08
+ ,96.28
+ ,29.43
+ ,5686.16
+ ,100.14
+ ,32.1
+ ,5801.24
+ ,99.9
+ ,36.84
+ ,5678.40
+ ,102.87
+ ,34.22
+ ,5793.68
+ ,107.37
+ ,36.53
+ ,5866.10
+ ,115.68
+ ,40.99
+ ,6087.27
+ ,124.33
+ ,45.97
+ ,6058.70
+ ,128.44
+ ,43.6
+ ,6171.63
+ ,130.19
+ ,47.84
+ ,6385.55
+ ,148.4
+ ,51.47
+ ,6180.05
+ ,169.14
+ ,51.31
+ ,6159.65
+ ,153.98
+ ,48.47
+ ,6271.59
+ ,163.13
+ ,48.28
+ ,6365.59
+ ,165.4
+ ,46.56
+ ,6420.76
+ ,166.35
+ ,43.83
+ ,6628.97
+ ,173.73
+ ,51.17
+ ,6731.85
+ ,174.23
+ ,49.59
+ ,6884.40
+ ,177.04
+ ,49.11
+ ,6927.25
+ ,170.78
+ ,49.97
+ ,6796.18
+ ,174.01
+ ,50.07
+ ,6903.69
+ ,183.76
+ ,53.3
+ ,7189.46
+ ,201.95
+ ,57.08
+ ,7435.08
+ ,205.38
+ ,68.54
+ ,7379.99
+ ,197.36
+ ,71.62
+ ,7174.80
+ ,196.53
+ ,67.64
+ ,7233.46
+ ,179.94
+ ,64.79
+ ,7597.58
+ ,174.84
+ ,80.97
+ ,7790.04
+ ,179.86
+ ,88.42
+ ,7466.77
+ ,172.77
+ ,110.22
+ ,7350.45
+ ,162.56
+ ,99
+ ,6850.64
+ ,178.4
+ ,95.95
+ ,6717.18
+ ,190.83
+ ,107.94
+ ,6600.54
+ ,201.07
+ ,97.82
+ ,6979.58
+ ,198.95
+ ,111.64
+ ,6971.45
+ ,190.46
+ ,114.73
+ ,6411.48
+ ,186.27
+ ,117.58
+ ,6276.01
+ ,187.96
+ ,99.19
+ ,6190.56
+ ,174.99
+ ,90.19
+ ,5618.64
+ ,164.1
+ ,59.74
+ ,4595.00
+ ,131.48
+ ,44.51
+ ,4287.38
+ ,116.14
+ ,23.94
+ ,4385.35
+ ,103.43
+ ,21.29
+ ,3927.01
+ ,96.87
+ ,20.77
+ ,3495.28
+ ,93.68
+ ,25.07
+ ,3757.45
+ ,96.49
+ ,32.95
+ ,4076.75
+ ,105.22
+ ,40.05
+ ,4475.36
+ ,110.11
+ ,44.59
+ ,4396.44
+ ,118.47
+ ,40.28
+ ,4766.91
+ ,122.15
+ ,41.19
+ ,4907.38
+ ,137.35
+ ,38.14
+ ,5069.67
+ ,134.83
+ ,41.85
+ ,4983.56
+ ,138.34
+ ,43.76
+ ,5245.81
+ ,141.98
+ ,50.16
+ ,5241.07
+ ,149.45
+ ,52.94
+ ,5003.74
+ ,154.68
+ ,47.69
+ ,5075.38
+ ,145.98
+ ,51.52
+ ,5358.33
+ ,156.33
+ ,58.69
+ ,5298.80
+ ,176.28
+ ,50.44
+ ,4784.64
+ ,159.08
+ ,45.72
+ ,4579.82
+ ,151.18
+ ,43.24
+ ,4982.42
+ ,162.63
+ ,51.49
+ ,4776.39
+ ,174.2
+ ,50.43
+ ,5157.48
+ ,180.51
+ ,58.73
+ ,5305.21
+ ,185.31
+ ,65.12
+ ,5187.20
+ ,186.33
+ ,64.13)
+ ,dim=c(3
+ ,101)
+ ,dimnames=list(c('World_Leaders'
+ ,'Commodity'
+ ,'Rio_Tinto
')
+ ,1:101))
>  y <- array(NA,dim=c(3,101),dimnames=list(c('World_Leaders','Commodity','Rio_Tinto
'),1:101))
>  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: Patrick Wessa
> #To cite this work: Patrick Wessa, (2010), Multivariate Correlation Matrix (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp#output/
> #Source of accompanying publication: 
> #Technical description: 
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$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/html/rcomp/tmp/1sdzq1292785521.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)
Warning messages:
1: In strwidth(labels, "user") : font width unknown for character 0xd
2: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
3: In text.default(x, y, txt, cex = cex, font = font) :
  font metrics unknown for character 0xd
> 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")
> 
> n <- length(y[,1])
> n
[1] 3
> 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/html/rcomp/tmp/2vdxv1292785521.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 = 8.4212, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.5683168 

> 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/html/rcomp/tmp/3zvw11292785521.tab") 
> 
> try(system("convert tmp/1sdzq1292785521.ps tmp/1sdzq1292785521.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.495   0.216   3.146