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(493
+ ,797
+ ,335
+ ,113
+ ,514
+ ,840
+ ,342
+ ,113
+ ,522
+ ,988
+ ,341
+ ,113
+ ,490
+ ,819
+ ,336
+ ,113
+ ,484
+ ,831
+ ,326
+ ,113
+ ,506
+ ,904
+ ,324
+ ,113
+ ,501
+ ,814
+ ,318
+ ,114
+ ,462
+ ,798
+ ,314
+ ,114
+ ,465
+ ,828
+ ,309
+ ,114
+ ,454
+ ,789
+ ,304
+ ,114
+ ,464
+ ,930
+ ,303
+ ,114
+ ,427
+ ,744
+ ,305
+ ,114
+ ,460
+ ,832
+ ,304
+ ,115
+ ,473
+ ,826
+ ,307
+ ,115
+ ,465
+ ,907
+ ,304
+ ,115
+ ,422
+ ,776
+ ,295
+ ,116
+ ,415
+ ,835
+ ,287
+ ,116
+ ,413
+ ,715
+ ,279
+ ,116
+ ,420
+ ,729
+ ,272
+ ,116
+ ,363
+ ,733
+ ,267
+ ,116
+ ,376
+ ,736
+ ,260
+ ,116
+ ,380
+ ,712
+ ,254
+ ,116
+ ,384
+ ,711
+ ,251
+ ,116
+ ,346
+ ,667
+ ,249
+ ,116
+ ,389
+ ,799
+ ,251
+ ,117
+ ,407
+ ,661
+ ,248
+ ,117
+ ,393
+ ,692
+ ,238
+ ,117
+ ,346
+ ,649
+ ,226
+ ,118
+ ,348
+ ,729
+ ,217
+ ,118
+ ,353
+ ,622
+ ,211
+ ,118
+ ,364
+ ,671
+ ,208
+ ,119
+ ,305
+ ,635
+ ,204
+ ,119
+ ,307
+ ,648
+ ,198
+ ,119
+ ,312
+ ,745
+ ,194
+ ,119
+ ,312
+ ,624
+ ,192
+ ,119
+ ,286
+ ,477
+ ,192
+ ,119
+ ,324
+ ,710
+ ,196
+ ,120
+ ,336
+ ,515
+ ,192
+ ,121
+ ,327
+ ,461
+ ,186
+ ,121
+ ,302
+ ,590
+ ,179
+ ,122
+ ,299
+ ,415
+ ,174
+ ,122
+ ,311
+ ,554
+ ,169
+ ,122
+ ,315
+ ,585
+ ,167
+ ,123
+ ,264
+ ,513
+ ,165
+ ,123
+ ,278
+ ,591
+ ,161
+ ,123
+ ,278
+ ,561
+ ,161
+ ,123
+ ,287
+ ,684
+ ,164
+ ,123
+ ,279
+ ,668
+ ,171
+ ,123
+ ,324
+ ,795
+ ,183
+ ,125
+ ,354
+ ,776
+ ,191
+ ,125
+ ,354
+ ,1
+ ,043
+ ,198
+ ,125
+ ,360
+ ,964
+ ,205
+ ,125
+ ,363
+ ,762
+ ,211
+ ,125
+ ,385
+ ,1
+ ,030
+ ,220
+ ,125
+ ,412
+ ,939
+ ,230
+ ,126
+ ,370
+ ,779
+ ,237
+ ,126
+ ,389
+ ,918
+ ,242
+ ,126
+ ,395
+ ,839
+ ,250
+ ,126
+ ,417
+ ,874
+ ,259
+ ,126
+ ,404
+ ,840
+ ,270
+ ,126)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('WLH'
+ ,'Faill'
+ ,'WLHuit'
+ ,'Lonen')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('WLH','Faill','WLHuit','Lonen'),1:60))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'pearson'
> main = 'Correlation Matrix'
> #'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/1q9uu1293458009.ps",horizontal=F,onefile=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 = 7.8175, p-value = 5.329e-15
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6962208 

> 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/2tsaz1293458009.tab") 
> try(system("convert tmp/1q9uu1293458009.ps tmp/1q9uu1293458009.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.476   0.204   1.002