R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(14.9
+ ,5.9
+ ,2253
+ ,418
+ ,18.6
+ ,6.2
+ ,2218
+ ,438
+ ,19.1
+ ,6.2
+ ,1855
+ ,389
+ ,18.8
+ ,6.4
+ ,2187
+ ,368
+ ,18.2
+ ,6.8
+ ,1852
+ ,386
+ ,18
+ ,6.9
+ ,1570
+ ,261
+ ,19
+ ,7
+ ,1851
+ ,294
+ ,20.7
+ ,7
+ ,1954
+ ,263
+ ,21.2
+ ,6.9
+ ,1828
+ ,293
+ ,20.7
+ ,6.7
+ ,2251
+ ,303
+ ,19.6
+ ,6.7
+ ,2277
+ ,326
+ ,18.6
+ ,6.5
+ ,2085
+ ,314
+ ,18.7
+ ,6.4
+ ,2282
+ ,332
+ ,23.8
+ ,6.5
+ ,2266
+ ,347
+ ,24.9
+ ,6.5
+ ,1878
+ ,290
+ ,24.8
+ ,6.5
+ ,2267
+ ,340
+ ,23.8
+ ,6.7
+ ,2069
+ ,371
+ ,22.3
+ ,6.8
+ ,1746
+ ,340
+ ,21.7
+ ,7.2
+ ,2299
+ ,376
+ ,20.7
+ ,7.6
+ ,2360
+ ,322
+ ,19.7
+ ,7.6
+ ,2214
+ ,364
+ ,18.4
+ ,7.2
+ ,2825
+ ,379
+ ,17.4
+ ,6.4
+ ,2355
+ ,343
+ ,17
+ ,6.1
+ ,2333
+ ,358
+ ,18
+ ,6.3
+ ,3016
+ ,433
+ ,23.8
+ ,7.1
+ ,2155
+ ,344
+ ,25.5
+ ,7.5
+ ,2172
+ ,357
+ ,25.6
+ ,7.4
+ ,2150
+ ,385
+ ,23.7
+ ,7.1
+ ,2533
+ ,392
+ ,22
+ ,6.8
+ ,2058
+ ,308
+ ,21.3
+ ,6.9
+ ,2160
+ ,294
+ ,20.7
+ ,7.2
+ ,2260
+ ,300
+ ,20.4
+ ,7.4
+ ,2498
+ ,302
+ ,20.3
+ ,7.3
+ ,2695
+ ,400
+ ,20.4
+ ,6.9
+ ,2799
+ ,392
+ ,19.8
+ ,6.9
+ ,2946
+ ,373
+ ,19.5
+ ,6.8
+ ,2930
+ ,379
+ ,23.1
+ ,7.1
+ ,2318
+ ,303
+ ,23.5
+ ,7.2
+ ,2540
+ ,324
+ ,23.5
+ ,7.1
+ ,2570
+ ,353
+ ,22.9
+ ,7
+ ,2669
+ ,392
+ ,21.9
+ ,6.9
+ ,2450
+ ,327
+ ,21.5
+ ,7.1
+ ,2842
+ ,376
+ ,20.5
+ ,7.3
+ ,3440
+ ,329
+ ,20.2
+ ,7.5
+ ,2678
+ ,359
+ ,19.4
+ ,7.5
+ ,2981
+ ,413
+ ,19.2
+ ,7.5
+ ,2260
+ ,338
+ ,18.8
+ ,7.3
+ ,2844
+ ,422
+ ,18.8
+ ,7
+ ,2546
+ ,390
+ ,22.6
+ ,6.7
+ ,2456
+ ,370
+ ,23.3
+ ,6.5
+ ,2295
+ ,367
+ ,23
+ ,6.5
+ ,2379
+ ,406
+ ,21.4
+ ,6.5
+ ,2479
+ ,418
+ ,19.9
+ ,6.6
+ ,2057
+ ,346
+ ,18.8
+ ,6.8
+ ,2280
+ ,350
+ ,18.6
+ ,6.9
+ ,2351
+ ,329
+ ,18.4
+ ,6.9
+ ,2276
+ ,318
+ ,18.6
+ ,6.8
+ ,2548
+ ,381
+ ,19.9
+ ,6.8
+ ,2311
+ ,337
+ ,19.2
+ ,6.5
+ ,2201
+ ,372
+ ,18.4
+ ,6.1
+ ,2725
+ ,422)
+ ,dim=c(4
+ ,61)
+ ,dimnames=list(c('<25'
+ ,'>25'
+ ,'wngb'
+ ,'ntwngb')
+ ,1:61))
>  y <- array(NA,dim=c(4,61),dimnames=list(c('<25','>25','wngb','ntwngb'),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/rcomp/tmp/17z0k1257960029.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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 = 2.1521, p-value = 0.03139
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.1960788 

> 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/rcomp/tmp/2qa4k1257960029.tab") 
> system("convert tmp/17z0k1257960029.ps tmp/17z0k1257960029.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.550   0.350   0.824