R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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 '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(6.8
+ ,225
+ ,0.442
+ ,0.672
+ ,9.2
+ ,6.3
+ ,180
+ ,0.435
+ ,0.797
+ ,11.7
+ ,6.4
+ ,190
+ ,0.456
+ ,0.761
+ ,15.8
+ ,6.2
+ ,180
+ ,0.416
+ ,0.651
+ ,8.6
+ ,6.9
+ ,205
+ ,0.449
+ ,0.9
+ ,23.2
+ ,6.4
+ ,225
+ ,0.431
+ ,0.78
+ ,27.4
+ ,6.3
+ ,185
+ ,0.487
+ ,0.771
+ ,9.3
+ ,6.8
+ ,235
+ ,0.469
+ ,0.75
+ ,16
+ ,6.9
+ ,235
+ ,0.435
+ ,0.818
+ ,4.7
+ ,6.7
+ ,210
+ ,0.48
+ ,0.825
+ ,12.5
+ ,6.9
+ ,245
+ ,0.516
+ ,0.632
+ ,20.1
+ ,6.9
+ ,245
+ ,0.493
+ ,0.757
+ ,9.1
+ ,6.3
+ ,185
+ ,0.374
+ ,0.709
+ ,8.1
+ ,6.1
+ ,185
+ ,0.424
+ ,0.782
+ ,8.6
+ ,6.2
+ ,180
+ ,0.441
+ ,0.775
+ ,20.3
+ ,6.8
+ ,220
+ ,0.503
+ ,0.88
+ ,25
+ ,6.5
+ ,194
+ ,0.503
+ ,0.833
+ ,19.2
+ ,7.6
+ ,225
+ ,0.425
+ ,0.571
+ ,3.3
+ ,6.3
+ ,210
+ ,0.371
+ ,0.816
+ ,11.2
+ ,7.1
+ ,240
+ ,0.504
+ ,0.714
+ ,10.5
+ ,6.8
+ ,225
+ ,0.4
+ ,0.765
+ ,10.1
+ ,7.3
+ ,263
+ ,0.482
+ ,0.655
+ ,7.2
+ ,6.4
+ ,210
+ ,0.475
+ ,0.244
+ ,13.6
+ ,6.8
+ ,235
+ ,0.428
+ ,0.728
+ ,9
+ ,7.2
+ ,230
+ ,0.559
+ ,0.721
+ ,24.6
+ ,6.4
+ ,190
+ ,0.441
+ ,0.757
+ ,12.6
+ ,6.6
+ ,220
+ ,0.492
+ ,0.747
+ ,5.6
+ ,6.8
+ ,210
+ ,0.402
+ ,0.739
+ ,8.7
+ ,6.1
+ ,180
+ ,0.415
+ ,0.713
+ ,7.7
+ ,6.5
+ ,235
+ ,0.492
+ ,0.742
+ ,24.1
+ ,6.4
+ ,185
+ ,0.484
+ ,0.861
+ ,11.7
+ ,6
+ ,175
+ ,0.387
+ ,0.721
+ ,7.7
+ ,6
+ ,192
+ ,0.436
+ ,0.785
+ ,9.6
+ ,7.3
+ ,263
+ ,0.482
+ ,0.655
+ ,7.2
+ ,6.1
+ ,180
+ ,0.34
+ ,0.821
+ ,12.3
+ ,6.7
+ ,240
+ ,0.516
+ ,0.728
+ ,8.9
+ ,6.4
+ ,210
+ ,0.475
+ ,0.846
+ ,13.6
+ ,5.8
+ ,160
+ ,0.412
+ ,0.813
+ ,11.2
+ ,6.9
+ ,230
+ ,0.411
+ ,0.595
+ ,2.8
+ ,7
+ ,245
+ ,0.407
+ ,0.573
+ ,3.2
+ ,7.3
+ ,228
+ ,0.445
+ ,0.726
+ ,9.4
+ ,5.9
+ ,155
+ ,0.291
+ ,0.707
+ ,11.9
+ ,6.2
+ ,200
+ ,0.449
+ ,0.804
+ ,15.4
+ ,6.8
+ ,235
+ ,0.546
+ ,0.784
+ ,7.4
+ ,7
+ ,235
+ ,0.48
+ ,0.744
+ ,18.9
+ ,5.9
+ ,105
+ ,0.359
+ ,0.839
+ ,7.9
+ ,6.1
+ ,180
+ ,0.528
+ ,0.79
+ ,12.2
+ ,5.7
+ ,185
+ ,0.352
+ ,0.701
+ ,11
+ ,7.1
+ ,245
+ ,0.414
+ ,0.778
+ ,2.8
+ ,5.8
+ ,180
+ ,0.425
+ ,0.872
+ ,11.8
+ ,7.4
+ ,240
+ ,0.599
+ ,0.713
+ ,17.1
+ ,6.8
+ ,225
+ ,0.482
+ ,0.701
+ ,11.6
+ ,6.8
+ ,215
+ ,0.457
+ ,0.734
+ ,5.8
+ ,7
+ ,230
+ ,0.435
+ ,0.764
+ ,8.3)
+ ,dim=c(5
+ ,54)
+ ,dimnames=list(c('X1'
+ ,'X2'
+ ,'X3'
+ ,'X4'
+ ,'X5')
+ ,1:54))
>  y <- array(NA,dim=c(5,54),dimnames=list(c('X1','X2','X3','X4','X5'),1:54))
>  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'
> 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$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/fisher/rcomp/tmp/1kvo01355256205.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 5
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/2g39y1355256205.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 = 7.2166, p-value = 5.331e-13
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.7122193 

> 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)
+ }
+ }
Warning messages:
1: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
2: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
3: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
4: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
5: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
6: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
7: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
8: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
9: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
10: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/3l8a81355256205.tab") 
> 
> try(system("convert tmp/1kvo01355256205.ps tmp/1kvo01355256205.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.292   0.271   1.541