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 '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(110.2
+ ,101
+ ,94.7
+ ,104.8
+ ,125.9
+ ,113.2
+ ,112.9
+ ,105.6
+ ,100.1
+ ,101
+ ,99.2
+ ,118.3
+ ,106.4
+ ,105.7
+ ,105.6
+ ,89.9
+ ,114.8
+ ,113.9
+ ,113
+ ,90.2
+ ,81.3
+ ,86.4
+ ,83.1
+ ,107
+ ,87
+ ,96.5
+ ,81.1
+ ,64.5
+ ,104.2
+ ,103.3
+ ,96.9
+ ,92.6
+ ,108
+ ,114.9
+ ,104.3
+ ,95.8
+ ,105
+ ,105.8
+ ,97.7
+ ,94.3
+ ,94.5
+ ,94.2
+ ,102.6
+ ,91.2
+ ,92
+ ,98.4
+ ,89.9
+ ,86.3
+ ,95.9
+ ,99.4
+ ,96
+ ,77.6
+ ,108.8
+ ,108.8
+ ,112.7
+ ,82.5
+ ,103.4
+ ,112.6
+ ,107.1
+ ,97.7
+ ,102.1
+ ,104.4
+ ,106.2
+ ,83.3
+ ,110.1
+ ,112.2
+ ,121
+ ,84.2
+ ,83.2
+ ,81.1
+ ,101.2
+ ,92.8
+ ,82.7
+ ,97.1
+ ,83.2
+ ,77.4
+ ,106.8
+ ,112.6
+ ,105.1
+ ,72.5
+ ,113.7
+ ,113.8
+ ,113.3
+ ,88.8
+ ,102.5
+ ,107.8
+ ,99.1
+ ,93.4
+ ,96.6
+ ,103.2
+ ,100.3
+ ,92.6
+ ,92.1
+ ,103.3
+ ,93.5
+ ,90.7
+ ,95.6
+ ,101.2
+ ,98.8
+ ,81.6
+ ,102.3
+ ,107.7
+ ,106.2
+ ,84.1
+ ,98.6
+ ,110.4
+ ,98.3
+ ,88.1
+ ,98.2
+ ,101.9
+ ,102.1
+ ,85.3
+ ,104.5
+ ,115.9
+ ,117.1
+ ,82.9
+ ,84
+ ,89.9
+ ,101.5
+ ,84.8
+ ,73.8
+ ,88.6
+ ,80.5
+ ,71.2
+ ,103.9
+ ,117.2
+ ,105.9
+ ,68.9
+ ,106
+ ,123.9
+ ,109.5
+ ,94.3
+ ,97.2
+ ,100
+ ,97.2
+ ,97.6
+ ,102.6
+ ,103.6
+ ,114.5
+ ,85.6
+ ,89
+ ,94.1
+ ,93.5
+ ,91.9
+ ,93.8
+ ,98.7
+ ,100.9
+ ,75.8
+ ,116.7
+ ,119.5
+ ,121.1
+ ,79.8
+ ,106.8
+ ,112.7
+ ,116.5
+ ,99
+ ,98.5
+ ,104.4
+ ,109.3
+ ,88.5
+ ,118.7
+ ,124.7
+ ,118.1
+ ,86.7
+ ,90
+ ,89.1
+ ,108.3
+ ,97.9
+ ,91.9
+ ,97
+ ,105.4
+ ,94.3
+ ,113.3
+ ,121.6
+ ,116.2
+ ,72.9
+ ,113.1
+ ,118.8
+ ,111.2
+ ,91.8
+ ,104.1
+ ,114
+ ,105.8
+ ,93.2
+ ,108.7
+ ,111.5
+ ,122.7
+ ,86.5
+ ,96.7
+ ,97.2
+ ,99.5
+ ,98.9
+ ,101
+ ,102.5
+ ,107.9
+ ,77.2
+ ,116.9
+ ,113.4
+ ,124.6
+ ,79.4
+ ,105.8
+ ,109.8
+ ,115
+ ,90.4
+ ,99
+ ,104.9
+ ,110.3
+ ,81.4
+ ,129.4
+ ,126.1
+ ,132.7
+ ,85.8
+ ,83
+ ,80
+ ,99.7
+ ,103.6
+ ,88.9
+ ,96.8
+ ,96.5
+ ,73.6
+ ,115.9
+ ,117.2
+ ,118.7
+ ,75.7
+ ,104.2
+ ,112.3
+ ,112.9
+ ,99.2
+ ,113.4
+ ,117.3
+ ,130.5
+ ,88.7
+ ,112.2
+ ,111.1
+ ,137.9
+ ,94.6
+ ,100.8
+ ,102.2
+ ,115
+ ,98.7
+ ,107.3
+ ,104.3
+ ,116.8
+ ,84.2
+ ,126.6
+ ,122.9
+ ,140.9
+ ,87.7
+ ,102.9
+ ,107.6
+ ,120.7
+ ,103.3
+ ,117.9
+ ,121.3
+ ,134.2
+ ,88.2
+ ,128.8
+ ,131.5
+ ,147.3
+ ,93.4
+ ,87.5
+ ,89
+ ,112.4
+ ,106.3
+ ,93.8
+ ,104.4
+ ,107.1
+ ,73.1)
+ ,dim=c(4
+ ,67)
+ ,dimnames=list(c('1'
+ ,'2'
+ ,'3'
+ ,'4')
+ ,1:67))
>  y <- array(NA,dim=c(4,67),dimnames=list(c('1','2','3','4'),1:67))
>  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/19kax1196187627.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 = 8.741, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.7320946 

> 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/2vyyd1196187627.tab") 
> 
> system("convert tmp/19kax1196187627.ps tmp/19kax1196187627.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.755   0.212   0.832