R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(267413
+ ,294912
+ ,21.4
+ ,26.9
+ ,267366
+ ,293488
+ ,26.4
+ ,27.8
+ ,264777
+ ,290555
+ ,26.4
+ ,28.7
+ ,258863
+ ,284736
+ ,29.4
+ ,30.5
+ ,254844
+ ,281818
+ ,34.4
+ ,31.8
+ ,254868
+ ,287854
+ ,24.4
+ ,31.4
+ ,277267
+ ,316263
+ ,26.4
+ ,34.8
+ ,285351
+ ,325412
+ ,25.4
+ ,32.2
+ ,286602
+ ,326011
+ ,31.4
+ ,33
+ ,283042
+ ,328282
+ ,27.4
+ ,32.4
+ ,276687
+ ,317480
+ ,27.4
+ ,30.5
+ ,277915
+ ,317539
+ ,29.4
+ ,28.6
+ ,277128
+ ,313737
+ ,32.4
+ ,30
+ ,277103
+ ,312276
+ ,26.4
+ ,28.2
+ ,275037
+ ,309391
+ ,22.4
+ ,27.6
+ ,270150
+ ,302950
+ ,19.4
+ ,24.9
+ ,267140
+ ,300316
+ ,21.4
+ ,23.8
+ ,264993
+ ,304035
+ ,23.4
+ ,24.3
+ ,287259
+ ,333476
+ ,23.4
+ ,23.6
+ ,291186
+ ,337698
+ ,25.4
+ ,24.2
+ ,292300
+ ,335932
+ ,28.4
+ ,28.1
+ ,288186
+ ,323931
+ ,27.4
+ ,30.1
+ ,281477
+ ,313927
+ ,21.4
+ ,31.1
+ ,282656
+ ,314485
+ ,17.4
+ ,32
+ ,280190
+ ,313218
+ ,24.4
+ ,32.4
+ ,280408
+ ,309664
+ ,26.4
+ ,34
+ ,276836
+ ,302963
+ ,22.4
+ ,35.1
+ ,275216
+ ,298989
+ ,14.4
+ ,37.1
+ ,274352
+ ,298423
+ ,18.4
+ ,37.3
+ ,271311
+ ,301631
+ ,25.4
+ ,38.1
+ ,289802
+ ,329765
+ ,29.4
+ ,39.5
+ ,290726
+ ,335083
+ ,26.4
+ ,38.3
+ ,292300
+ ,327616
+ ,26.4
+ ,37.3
+ ,278506
+ ,309119
+ ,20.4
+ ,38.7
+ ,269826
+ ,295916
+ ,26.4
+ ,37.5
+ ,265861
+ ,291413
+ ,29.4
+ ,38.7
+ ,269034
+ ,291542
+ ,33.4
+ ,37.9
+ ,264176
+ ,284678
+ ,32.4
+ ,36.6
+ ,255198
+ ,276475
+ ,35.4
+ ,35.5
+ ,253353
+ ,272566
+ ,34.4
+ ,37.6
+ ,246057
+ ,264981
+ ,36.4
+ ,38.6
+ ,235372
+ ,263290
+ ,32.4
+ ,40.3
+ ,258556
+ ,296806
+ ,34.4
+ ,39
+ ,260993
+ ,303598
+ ,31.4
+ ,36.8
+ ,254663
+ ,286994
+ ,27.4
+ ,36.5
+ ,250643
+ ,276427
+ ,27.4
+ ,34.1
+ ,243422
+ ,266424
+ ,30.4
+ ,34.2
+ ,247105
+ ,267153
+ ,32.4
+ ,31.9
+ ,248541
+ ,268381
+ ,32.4
+ ,33.7
+ ,245039
+ ,262522
+ ,27.4
+ ,33.5
+ ,237080
+ ,255542
+ ,31.4
+ ,33.8
+ ,237085
+ ,253158
+ ,29.4
+ ,29.9
+ ,225554
+ ,243803
+ ,27.4
+ ,32.3
+ ,226839
+ ,250741
+ ,25.4
+ ,30.5
+ ,247934
+ ,280445
+ ,26.4
+ ,28.5
+ ,248333
+ ,285257
+ ,23.4
+ ,29
+ ,246969
+ ,270976
+ ,18.4
+ ,23.8
+ ,245098
+ ,261076
+ ,22.4
+ ,17.9
+ ,246263
+ ,255603
+ ,17.4
+ ,9.9
+ ,255765
+ ,260376
+ ,17.4
+ ,3
+ ,264319
+ ,263903
+ ,11.4
+ ,4.2
+ ,268347
+ ,264291
+ ,9.4
+ ,0.4
+ ,273046
+ ,263276
+ ,6.4
+ ,0
+ ,273963
+ ,262572
+ ,0
+ ,2.4
+ ,267430
+ ,256167
+ ,7.8
+ ,4.2
+ ,271993
+ ,264221
+ ,7.9
+ ,8.2
+ ,292710
+ ,293860
+ ,12
+ ,9
+ ,295881
+ ,300713
+ ,16.9
+ ,13.6
+ ,293299
+ ,287224
+ ,12.3
+ ,14)
+ ,dim=c(4
+ ,69)
+ ,dimnames=list(c('Totwm'
+ ,'Totwv'
+ ,'vower'
+ ,'conind')
+ ,1:69))
>  y <- array(NA,dim=c(4,69),dimnames=list(c('Totwm','Totwv','vower','conind'),1:69))
>  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/15a5t1257977385.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 = 8.0646, p-value = 6.661e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6638244 

> 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/2rfoz1257977385.tab") 
> 
> system("convert tmp/15a5t1257977385.ps tmp/15a5t1257977385.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.501   0.218   0.745