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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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- array(list(252
+ ,467
+ ,98.8
+ ,247
+ ,460
+ ,100.5
+ ,218
+ ,448
+ ,110.4
+ ,226
+ ,443
+ ,96.4
+ ,212
+ ,436
+ ,101.9
+ ,219
+ ,431
+ ,106.2
+ ,227
+ ,484
+ ,81
+ ,221
+ ,510
+ ,94.7
+ ,222
+ ,513
+ ,101
+ ,221
+ ,503
+ ,109.4
+ ,202
+ ,471
+ ,102.3
+ ,211
+ ,471
+ ,90.7
+ ,217
+ ,476
+ ,96.2
+ ,202
+ ,475
+ ,96.1
+ ,199
+ ,470
+ ,106
+ ,195
+ ,461
+ ,103.1
+ ,271
+ ,455
+ ,102
+ ,249
+ ,456
+ ,104.7
+ ,259
+ ,517
+ ,86
+ ,254
+ ,525
+ ,92.1
+ ,222
+ ,523
+ ,106.9
+ ,216
+ ,519
+ ,112.6
+ ,211
+ ,509
+ ,101.7
+ ,203
+ ,512
+ ,92
+ ,200
+ ,519
+ ,97.4
+ ,192
+ ,517
+ ,97
+ ,192
+ ,510
+ ,105.4
+ ,188
+ ,509
+ ,102.7
+ ,179
+ ,501
+ ,98.1
+ ,192
+ ,507
+ ,104.5
+ ,205
+ ,569
+ ,87.4
+ ,203
+ ,580
+ ,89.9
+ ,189
+ ,578
+ ,109.8
+ ,168
+ ,565
+ ,111.7
+ ,169
+ ,547
+ ,98.6
+ ,170
+ ,555
+ ,96.9
+ ,177
+ ,562
+ ,95.1
+ ,177
+ ,561
+ ,97
+ ,166
+ ,555
+ ,112.7
+ ,153
+ ,544
+ ,102.9
+ ,159
+ ,537
+ ,97.4
+ ,163
+ ,543
+ ,111.4
+ ,167
+ ,594
+ ,87.4
+ ,195
+ ,611
+ ,96.8
+ ,179
+ ,613
+ ,114.1
+ ,245
+ ,611
+ ,110.3
+ ,243
+ ,594
+ ,103.9
+ ,240
+ ,595
+ ,101.6
+ ,240
+ ,591
+ ,94.6
+ ,239
+ ,589
+ ,95.9
+ ,236
+ ,584
+ ,104.7
+ ,235
+ ,573
+ ,102.8
+ ,226
+ ,567
+ ,98.1
+ ,223
+ ,569
+ ,113.9
+ ,225
+ ,621
+ ,80.9
+ ,218
+ ,629
+ ,95.7
+ ,215
+ ,628
+ ,113.2
+ ,206
+ ,612
+ ,105.9
+ ,201
+ ,595
+ ,108.8
+ ,200
+ ,597
+ ,102.3
+ ,196
+ ,593
+ ,99
+ ,193
+ ,590
+ ,100.7
+ ,193
+ ,580
+ ,115.5
+ ,184
+ ,574
+ ,100.7
+ ,188
+ ,573
+ ,109.9
+ ,187
+ ,573
+ ,114.6
+ ,185
+ ,620
+ ,85.4
+ ,185
+ ,626
+ ,100.5
+ ,186
+ ,620
+ ,114.8
+ ,179
+ ,588
+ ,116.5
+ ,175
+ ,566
+ ,112.9
+ ,173
+ ,557
+ ,102)
+ ,dim=c(3
+ ,72)
+ ,dimnames=list(c('Vrouw'
+ ,'Werklh'
+ ,'Prod')
+ ,1:72))
>  y <- array(NA,dim=c(3,72),dimnames=list(c('Vrouw','Werklh','Prod'),1:72))
>  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/1clgh1258118106.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] 3
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = -1.1915, p-value = 0.2334
alternative hypothesis: true tau is not equal to 0 
sample estimates:
        tau 
-0.09651374 

> 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/2o6o41258118106.tab") 
> 
> system("convert tmp/1clgh1258118106.ps tmp/1clgh1258118106.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.439   0.207   0.526