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(68897
+ ,374.92
+ ,38683
+ ,375.63
+ ,44720
+ ,376.51
+ ,39525
+ ,377.75
+ ,45315
+ ,378.54
+ ,50380
+ ,378.21
+ ,40600
+ ,376.65
+ ,36279
+ ,374.28
+ ,42438
+ ,373.12
+ ,38064
+ ,373.1
+ ,31879
+ ,374.67
+ ,11379
+ ,375.97
+ ,70249
+ ,377.03
+ ,39253
+ ,377.87
+ ,47060
+ ,378.88
+ ,41697
+ ,380.42
+ ,38708
+ ,380.62
+ ,49267
+ ,379.66
+ ,39018
+ ,377.48
+ ,32228
+ ,376.07
+ ,40870
+ ,374.1
+ ,39383
+ ,374.47
+ ,34571
+ ,376.15
+ ,12066
+ ,377.51
+ ,70938
+ ,378.43
+ ,34077
+ ,379.7
+ ,45409
+ ,380.91
+ ,40809
+ ,382.2
+ ,37013
+ ,382.45
+ ,44953
+ ,382.14
+ ,37848
+ ,380.6
+ ,32745
+ ,378.6
+ ,39401
+ ,376.72
+ ,34931
+ ,376.98
+ ,33008
+ ,378.29
+ ,8620
+ ,380.07
+ ,68906
+ ,381.36
+ ,39556
+ ,382.19
+ ,50669
+ ,382.65
+ ,36432
+ ,384.65
+ ,40891
+ ,384.94
+ ,48428
+ ,384.01
+ ,36222
+ ,382.15
+ ,33425
+ ,380.33
+ ,39401
+ ,378.81
+ ,37967
+ ,379.06
+ ,34801
+ ,380.17
+ ,12657
+ ,381.85
+ ,69116
+ ,382.88
+ ,41519
+ ,383.77
+ ,51321
+ ,384.42
+ ,38529
+ ,386.36
+ ,41547
+ ,386.53
+ ,52073
+ ,386.01
+ ,38401
+ ,384.45
+ ,40898
+ ,381.96
+ ,40439
+ ,380.81
+ ,41888
+ ,381.09
+ ,37898
+ ,382.37
+ ,8771
+ ,383.84
+ ,68184
+ ,385.42
+ ,50530
+ ,385.72
+ ,47221
+ ,385.96
+ ,41756
+ ,387.18
+ ,45633
+ ,388.5
+ ,48138
+ ,387.88
+ ,39486
+ ,386.38
+ ,39341
+ ,384.15
+ ,41117
+ ,383.07
+ ,41629
+ ,382.98
+ ,29722
+ ,384.11
+ ,7054
+ ,385.54
+ ,56676
+ ,386.92
+ ,34870
+ ,387.41
+ ,35117
+ ,388.77
+ ,30169
+ ,389.46
+ ,30936
+ ,390.18
+ ,35699
+ ,389.43
+ ,33228
+ ,387.74
+ ,27733
+ ,385.91
+ ,33666
+ ,384.77
+ ,35429
+ ,384.38
+ ,27438
+ ,385.99
+ ,8170
+ ,387.26)
+ ,dim=c(2
+ ,84)
+ ,dimnames=list(c('VK/m'
+ ,'COČ/m')
+ ,1:84))
>  y <- array(NA,dim=c(2,84),dimnames=list(c('VK/m','COČ/m'),1:84))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'pearson'
> 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$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/wessaorg/rcomp/tmp/1h95b1323440117.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 2
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2jtvi1323440117.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)

	Pearson's product-moment correlation

data:  y[1, ] and y[2, ] 
t = -0.5629, df = 82, p-value = 0.575
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.2728120  0.1544032 
sample estimates:
        cor 
-0.06204589 

> 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 message:
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/33p8p1323440117.tab") 
> 
> try(system("convert tmp/1h95b1323440117.ps tmp/1h95b1323440117.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.525   0.075   0.596