R version 2.13.0 (2011-04-13)
Copyright (C) 2011 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(26,21,21,20,16,15,19,19,18,20,16,8,25,23,19,22,12,20,26,19,16,22,16,14,19,13,14,24,20,8,26,27,23,13,8,9,22,13,15,21,15,19,7,5,6,17,14,11,25,24,17,25,24,17,19,9,5,23,19,15,22,19,17,21,18,20,18,12,7,22,25,15,18,19,15,23,20,10,20,24,14,15,12,9,21,17,18,18,16,17,19,11,14,22,20,16,16,11,10,18,20,10,20,19,14,24,17,10,24,18,9,18,17,12,21,27,16,17,19,18,22,19,18,16,11,9,21,22,19,24,20,23,24,24,22,16,16,14,16,16,14,18,11,12,20,20,12,24,20,16,17,12,11,19,8,14,20,21,13,15,18,9,22,16,13,23,18,19,16,20,13,19,20,13,19,17,14,21,15,11,24,17,18,22,23,19,18,19,15,24,17,19,24,12,15,22,24,17,23,18,8,22,20,10,20,16,12,18,20,12,25,22,20,16,16,12,20,17,14,15,12,10,19,14,18,19,23,18,16,15,7,17,17,18,28,28,9,25,23,22,20,13,11,16,19,15,23,13,14,21,22,14,23,20,20,18,10,8,20,17,17,9,18,9,25,23,22,20,17,10,21,19,12,22,18,12,27,22,20,18,16,18,16,16,16,22,16,13,20,16,17,20,18,17),dim=c(3,98),dimnames=list(c('I1M','I2M','I3M'),1:98))
>  y <- array(NA,dim=c(3,98),dimnames=list(c('I1M','I2M','I3M'),1:98))
>  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$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/wessaorg/rcomp/tmp/1l0501324320565.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 3
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/29lvl1324320565.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 = 5.4623, p-value = 4.7e-08
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.4009153 

> 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
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/3ogv31324320565.tab") 
> 
> try(system("convert tmp/1l0501324320565.ps tmp/1l0501324320565.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.649   0.087   0.728