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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> x <- array(list(1.4
+ ,562
+ ,117.1
+ ,2.9
+ ,1.2
+ ,561
+ ,118.7
+ ,4.9
+ ,1
+ ,555
+ ,126.5
+ ,7.2
+ ,1.7
+ ,544
+ ,127.5
+ ,8.7
+ ,2.4
+ ,537
+ ,134.6
+ ,9.1
+ ,2
+ ,543
+ ,131.8
+ ,8.9
+ ,2.1
+ ,594
+ ,135.9
+ ,9
+ ,2
+ ,611
+ ,142.7
+ ,11.6
+ ,1.8
+ ,613
+ ,141.7
+ ,9.6
+ ,2.7
+ ,611
+ ,153.4
+ ,9.1
+ ,2.3
+ ,594
+ ,145
+ ,9.2
+ ,1.9
+ ,595
+ ,137.7
+ ,10.8
+ ,2
+ ,591
+ ,148.3
+ ,11
+ ,2.3
+ ,589
+ ,152.2
+ ,8.5
+ ,2.8
+ ,584
+ ,169.4
+ ,6.5
+ ,2.4
+ ,573
+ ,168.6
+ ,7.2
+ ,2.3
+ ,567
+ ,161.1
+ ,7.8
+ ,2.7
+ ,569
+ ,174.1
+ ,8.7
+ ,2.7
+ ,621
+ ,179
+ ,7.8
+ ,2.9
+ ,629
+ ,190.6
+ ,7.5
+ ,3
+ ,628
+ ,190
+ ,7.7
+ ,2.2
+ ,612
+ ,181.6
+ ,7.5
+ ,2.3
+ ,595
+ ,174.8
+ ,8.3
+ ,2.8
+ ,597
+ ,180.5
+ ,7.9
+ ,2.8
+ ,593
+ ,196.8
+ ,10.4
+ ,2.8
+ ,590
+ ,193.8
+ ,11.5
+ ,2.2
+ ,580
+ ,197
+ ,14
+ ,2.6
+ ,574
+ ,216.3
+ ,11.9
+ ,2.8
+ ,573
+ ,221.4
+ ,11.9
+ ,2.5
+ ,573
+ ,217.9
+ ,10.3
+ ,2.4
+ ,620
+ ,229.7
+ ,11.3
+ ,2.3
+ ,626
+ ,227.4
+ ,9.9
+ ,1.9
+ ,620
+ ,204.2
+ ,8.9
+ ,1.7
+ ,588
+ ,196.6
+ ,9.2
+ ,2
+ ,566
+ ,198.8
+ ,8.8
+ ,2.1
+ ,557
+ ,207.5
+ ,6.7
+ ,1.7
+ ,561
+ ,190.7
+ ,7.1
+ ,1.8
+ ,549
+ ,201.6
+ ,6.6
+ ,1.8
+ ,532
+ ,210.5
+ ,7.2
+ ,1.8
+ ,526
+ ,223.5
+ ,5
+ ,1.3
+ ,511
+ ,223.8
+ ,5.3
+ ,1.3
+ ,499
+ ,231.2
+ ,6.3
+ ,1.3
+ ,555
+ ,244
+ ,8
+ ,1.2
+ ,565
+ ,234.7
+ ,7.6
+ ,1.4
+ ,542
+ ,250.2
+ ,7
+ ,2.2
+ ,527
+ ,265.7
+ ,6.9
+ ,2.9
+ ,510
+ ,287.6
+ ,6.8
+ ,3.1
+ ,514
+ ,283.3
+ ,7.5
+ ,3.5
+ ,517
+ ,295.4
+ ,6.4
+ ,3.6
+ ,508
+ ,312.3
+ ,8
+ ,4.4
+ ,493
+ ,333.8
+ ,6.4
+ ,4.1
+ ,490
+ ,347.7
+ ,9.6
+ ,5.1
+ ,469
+ ,383.2
+ ,7.5
+ ,5.8
+ ,478
+ ,407.1
+ ,9
+ ,5.9
+ ,528
+ ,413.6
+ ,7.8
+ ,5.4
+ ,534
+ ,362.7
+ ,7.8
+ ,5.5
+ ,518
+ ,321.9
+ ,8.7
+ ,4.8
+ ,506
+ ,239.4
+ ,4.3
+ ,3.2
+ ,502
+ ,191
+ ,-0.4
+ ,2.7
+ ,516
+ ,159.7
+ ,-4.9
+ ,2.1
+ ,528
+ ,163.4
+ ,-10.1)
+ ,dim=c(4
+ ,61)
+ ,dimnames=list(c('1'
+ ,'2'
+ ,'3'
+ ,'4')
+ ,1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('1','2','3','4'),1:61))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> main = 'Kendall tau Correlation Plot'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method='kendall')
+ r <- round(rr$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/12m4o1257951041.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)
> 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")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'pair',1,TRUE)
> a<-table.element(a,'tau',1,TRUE)
> a<-table.element(a,'p-value',1,TRUE)
> a<-table.row.end(a)
> n <- length(y[,1])
> n
[1] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = -1.2655, p-value = 0.2057
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
-0.1130072 

> for (i in 1:(n-1))
+ {
+ for (j in (i+1):n)
+ {
+ a<-table.row.start(a)
+ dum <- paste('tau(',dimnames(t(x))[[2]][i])
+ dum <- paste(dum,',')
+ dum <- paste(dum,dimnames(t(x))[[2]][j])
+ dum <- paste(dum,')')
+ a<-table.element(a,dum,header=TRUE)
+ r <- cor.test(y[i,],y[j,],method='kendall')
+ a<-table.element(a,r$estimate)
+ a<-table.element(a,r$p.value)
+ a<-table.row.end(a)
+ }
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2m8im1257951041.tab") 
> 
> system("convert tmp/12m4o1257951041.ps tmp/12m4o1257951041.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.513   0.203   0.592