R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(2490
+ ,535
+ ,1529
+ ,458
+ ,3266
+ ,681
+ ,2186
+ ,582
+ ,3475
+ ,830
+ ,3069
+ ,597
+ ,3127
+ ,720
+ ,3252
+ ,729
+ ,2955
+ ,582
+ ,3541
+ ,812
+ ,3870
+ ,806
+ ,3435
+ ,697
+ ,2852
+ ,728
+ ,2320
+ ,545
+ ,3142
+ ,803
+ ,3285
+ ,677
+ ,3029
+ ,830
+ ,2681
+ ,598
+ ,3180
+ ,699
+ ,3019
+ ,701
+ ,2560
+ ,622
+ ,3833
+ ,956
+ ,2733
+ ,655
+ ,3472
+ ,971
+ ,2452
+ ,571
+ ,2971
+ ,967
+ ,2553
+ ,512
+ ,2770
+ ,683
+ ,2777
+ ,674
+ ,3060
+ ,611
+ ,2520
+ ,522
+ ,4124
+ ,955
+ ,2318
+ ,627
+ ,3282
+ ,782
+ ,2873
+ ,769
+ ,3772
+ ,877
+ ,2311
+ ,633
+ ,1500
+ ,399
+ ,2395
+ ,715
+ ,2844
+ ,615
+ ,2099
+ ,702
+ ,3449
+ ,906
+ ,2268
+ ,678
+ ,4356
+ ,1324
+ ,2316
+ ,531
+ ,3150
+ ,952
+ ,2181
+ ,562
+ ,2425
+ ,710
+ ,2175
+ ,504
+ ,1212
+ ,288
+ ,2627
+ ,552
+ ,1328
+ ,312
+ ,2578
+ ,511
+ ,2097
+ ,313
+ ,3090
+ ,695
+ ,2167
+ ,387
+ ,2634
+ ,559
+ ,2773
+ ,540
+ ,3225
+ ,677
+ ,2368
+ ,465
+ ,2938
+ ,636
+ ,1387
+ ,282
+ ,3174
+ ,694
+ ,2478
+ ,389
+ ,3350
+ ,694
+ ,2702
+ ,488
+ ,2588
+ ,624
+ ,3349
+ ,803
+ ,2061
+ ,524
+ ,3114
+ ,1050
+ ,2691
+ ,557
+ ,3394
+ ,1027
+ ,2061
+ ,490
+ ,1249
+ ,332
+ ,2918
+ ,475
+ ,2155
+ ,466
+ ,2223
+ ,492
+ ,2188
+ ,353
+ ,2651
+ ,491
+ ,2363
+ ,345
+ ,2379
+ ,489
+ ,2040
+ ,341
+ ,3146
+ ,606
+ ,2144
+ ,354
+ ,2883
+ ,618
+ ,1440
+ ,287
+ ,2768
+ ,607
+ ,2485
+ ,379
+ ,3258
+ ,637
+ ,2904
+ ,533
+ ,2839
+ ,597
+ ,2452
+ ,534
+ ,2470
+ ,539
+ ,2855
+ ,578
+ ,5072
+ ,600
+ ,3966
+ ,991
+ ,1463
+ ,448
+ ,1621
+ ,366
+ ,1600
+ ,520
+ ,1717
+ ,254
+ ,2203
+ ,607
+ ,2370
+ ,449
+ ,2013
+ ,566
+ ,1849
+ ,349
+ ,2169
+ ,595
+ ,2262
+ ,532
+ ,2640
+ ,625
+ ,2494
+ ,590
+ ,2411
+ ,667
+ ,2010
+ ,469
+ ,2528
+ ,587
+ ,1901
+ ,362
+ ,2292
+ ,629
+ ,2027
+ ,424
+ ,1988
+ ,562
+ ,1769
+ ,372
+ ,1774
+ ,511
+ ,1271
+ ,253
+ ,2279
+ ,664
+ ,1571
+ ,462)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('BvWg'
+ ,'GBWg'
+ ,'BvNWg'
+ ,'GBNWg')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('BvWg','GBWg','BvNWg','GBNWg'),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/1vnhw1229271592.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 = 4.3248, p-value = 1.527e-05
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.3837014 

> 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/28c5i1229271592.tab") 
> 
> system("convert tmp/1vnhw1229271592.ps tmp/1vnhw1229271592.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.498   0.214   0.566