R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'contributors()' for more information and
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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(92.4
+ ,99.7
+ ,91.1
+ ,88.3
+ ,92
+ ,99
+ ,90.2
+ ,88.6
+ ,95.6
+ ,98.1
+ ,94.3
+ ,94.9
+ ,95.8
+ ,97
+ ,96
+ ,94.7
+ ,96.4
+ ,98.5
+ ,99
+ ,92.6
+ ,99
+ ,103.8
+ ,103.3
+ ,91.8
+ ,107
+ ,114.4
+ ,113.1
+ ,96.4
+ ,109.7
+ ,124.5
+ ,112.8
+ ,96.4
+ ,116.2
+ ,134.2
+ ,112.1
+ ,107.1
+ ,115.9
+ ,131.8
+ ,107.4
+ ,111.9
+ ,113.8
+ ,125.6
+ ,111
+ ,107.8
+ ,112.6
+ ,119.9
+ ,110.5
+ ,109.2
+ ,113.7
+ ,114.9
+ ,110.8
+ ,115.3
+ ,115.9
+ ,115.5
+ ,112.4
+ ,119.2
+ ,110.3
+ ,112.5
+ ,111.5
+ ,107.8
+ ,111.3
+ ,111.4
+ ,116.2
+ ,106.8
+ ,113.4
+ ,115.3
+ ,122.5
+ ,104.2
+ ,108.2
+ ,110.8
+ ,121.3
+ ,94.8
+ ,104.8
+ ,103.7
+ ,113.9
+ ,97.5
+ ,106
+ ,111.1
+ ,110.7
+ ,98.3
+ ,110.9
+ ,113
+ ,120.8
+ ,100.6
+ ,115
+ ,111.2
+ ,141.1
+ ,94.9
+ ,118.4
+ ,117.6
+ ,147.4
+ ,93.6
+ ,121.4
+ ,121.7
+ ,148
+ ,98
+ ,128.8
+ ,127.3
+ ,158.1
+ ,104.3
+ ,131.7
+ ,129.8
+ ,165
+ ,103.9
+ ,141.7
+ ,137.1
+ ,187
+ ,105.3
+ ,142.9
+ ,141.4
+ ,190.3
+ ,102.6
+ ,139.4
+ ,137.4
+ ,182.4
+ ,103.3
+ ,134.7
+ ,130.7
+ ,168.8
+ ,107.9
+ ,125
+ ,117.2
+ ,151.2
+ ,107.8
+ ,113.6
+ ,110.8
+ ,120.1
+ ,109.8
+ ,111.5
+ ,111.4
+ ,112.5
+ ,110.6
+ ,108.5
+ ,108.2
+ ,106.2
+ ,110.8
+ ,112.3
+ ,108.8
+ ,107.1
+ ,119.3
+ ,116.6
+ ,110.2
+ ,108.5
+ ,128.1
+ ,115.5
+ ,109.5
+ ,106.5
+ ,127.6
+ ,120.1
+ ,109.5
+ ,108.3
+ ,137.9
+ ,132.9
+ ,116
+ ,125.6
+ ,151.4
+ ,128.1
+ ,111.2
+ ,124
+ ,143.6
+ ,129.3
+ ,112.1
+ ,127.2
+ ,143.4
+ ,132.5
+ ,114
+ ,136.9
+ ,141.9
+ ,131
+ ,119.1
+ ,135.8
+ ,135.2
+ ,124.9
+ ,114.1
+ ,124.3
+ ,133.1
+ ,120.8
+ ,115.1
+ ,115.4
+ ,129.6
+ ,122
+ ,115.4
+ ,113.6
+ ,134.1
+ ,122.1
+ ,110.8
+ ,114.4
+ ,136.8
+ ,127.4
+ ,116
+ ,118.4
+ ,143.5
+ ,135.2
+ ,119.2
+ ,117
+ ,162.5
+ ,137.3
+ ,126.5
+ ,116.5
+ ,163.1
+ ,135
+ ,127.8
+ ,115.4
+ ,157.2
+ ,136
+ ,131.3
+ ,113.6
+ ,158.8
+ ,138.4
+ ,140.3
+ ,117.4
+ ,155.4
+ ,134.7
+ ,137.3
+ ,116.9
+ ,148.5
+ ,138.4
+ ,143
+ ,116.4
+ ,154.2
+ ,133.9
+ ,134.5
+ ,111.1
+ ,153.3
+ ,133.6
+ ,139.9
+ ,110.2
+ ,149.4
+ ,141.2
+ ,159.3
+ ,118.9
+ ,147.9
+ ,151.8
+ ,170.4
+ ,131.8
+ ,156
+ ,155.4
+ ,175
+ ,130.6
+ ,163)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('tot'
+ ,'graan'
+ ,'olie'
+ ,'genot')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('tot','graan','olie','genot'),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: Wessa P., (2007), Multivariate Correlation Matrix (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_pairs.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method='kendall')
+ r <- round(rr$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/18a0i1195830736.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 
> 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 = 7.2086, p-value = 5.651e-13
alternative hypothesis: true tau is not equal to 0 
sample estimates:
     tau 
0.640227 

> 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/2h0951195830736.tab") 
> 
> system("convert tmp/18a0i1195830736.ps tmp/18a0i1195830736.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.746   0.216   0.814