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(467
+ ,2074
+ ,105.9
+ ,98.8
+ ,460
+ ,2049
+ ,107.8
+ ,100.5
+ ,448
+ ,2406
+ ,108
+ ,110.4
+ ,443
+ ,2558
+ ,109
+ ,96.4
+ ,436
+ ,2251
+ ,109.5
+ ,101.9
+ ,431
+ ,2059
+ ,109.8
+ ,106.2
+ ,484
+ ,2397
+ ,108.4
+ ,81
+ ,510
+ ,1747
+ ,109.8
+ ,94.7
+ ,513
+ ,1707
+ ,110
+ ,101
+ ,503
+ ,2319
+ ,109.8
+ ,109.4
+ ,471
+ ,1631
+ ,109.8
+ ,102.3
+ ,471
+ ,1627
+ ,109.7
+ ,90.7
+ ,476
+ ,1791
+ ,108.7
+ ,96.2
+ ,475
+ ,2034
+ ,110.5
+ ,96.1
+ ,470
+ ,1997
+ ,110.7
+ ,106
+ ,461
+ ,2169
+ ,110.8
+ ,103.1
+ ,455
+ ,2028
+ ,111
+ ,102
+ ,456
+ ,2253
+ ,110.7
+ ,104.7
+ ,517
+ ,2218
+ ,109.6
+ ,86
+ ,525
+ ,1855
+ ,111.2
+ ,92.1
+ ,523
+ ,2187
+ ,111.3
+ ,106.9
+ ,519
+ ,1852
+ ,111.2
+ ,112.6
+ ,509
+ ,1570
+ ,111
+ ,101.7
+ ,512
+ ,1851
+ ,111.1
+ ,92
+ ,519
+ ,1954
+ ,110
+ ,97.4
+ ,517
+ ,1828
+ ,112.3
+ ,97
+ ,510
+ ,2251
+ ,112.6
+ ,105.4
+ ,509
+ ,2277
+ ,112.4
+ ,102.7
+ ,501
+ ,2085
+ ,112
+ ,98.1
+ ,507
+ ,2282
+ ,112.4
+ ,104.5
+ ,569
+ ,2266
+ ,111.1
+ ,87.4
+ ,580
+ ,1878
+ ,113
+ ,89.9
+ ,578
+ ,2267
+ ,113.2
+ ,109.8
+ ,565
+ ,2069
+ ,112.8
+ ,111.7
+ ,547
+ ,1746
+ ,113
+ ,98.6
+ ,555
+ ,2299
+ ,113
+ ,96.9
+ ,562
+ ,2360
+ ,111.5
+ ,95.1
+ ,561
+ ,2214
+ ,113.6
+ ,97
+ ,555
+ ,2825
+ ,113.7
+ ,112.7
+ ,544
+ ,2355
+ ,114.3
+ ,102.9
+ ,537
+ ,2333
+ ,114.7
+ ,97.4
+ ,543
+ ,3016
+ ,114.6
+ ,111.4
+ ,594
+ ,2155
+ ,113.4
+ ,87.4
+ ,611
+ ,2172
+ ,115.3
+ ,96.8
+ ,613
+ ,2150
+ ,115.2
+ ,114.1
+ ,611
+ ,2533
+ ,115.8
+ ,110.3
+ ,594
+ ,2058
+ ,115.6
+ ,103.9
+ ,595
+ ,2160
+ ,115.2
+ ,101.6
+ ,591
+ ,2260
+ ,113.7
+ ,94.6
+ ,589
+ ,2498
+ ,116.2
+ ,95.9
+ ,584
+ ,2695
+ ,116.9
+ ,104.7
+ ,573
+ ,2799
+ ,117.1
+ ,102.8
+ ,567
+ ,2946
+ ,117.3
+ ,98.1
+ ,569
+ ,2930
+ ,117.7
+ ,113.9
+ ,621
+ ,2318
+ ,116.5
+ ,80.9
+ ,629
+ ,2540
+ ,118.6
+ ,95.7
+ ,628
+ ,2570
+ ,118.6
+ ,113.2
+ ,612
+ ,2669
+ ,118.4
+ ,105.9
+ ,595
+ ,2450
+ ,118.3
+ ,108.8
+ ,597
+ ,2842
+ ,118.4
+ ,102.3)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('Tw'
+ ,'Bv'
+ ,'Hicp'
+ ,'Tip')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('Tw','Bv','Hicp','Tip'),1:60))
>  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/12tc01258138519.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 = 2.8771, p-value = 0.004014
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.2555973 

> 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/25omm1258138519.tab") 
> 
> system("convert tmp/12tc01258138519.ps tmp/12tc01258138519.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.538   0.231   0.709