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.

R is a collaborative project with many contributors.
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(100.00
+ ,100.00
+ ,100.00
+ ,100.00
+ ,98.49
+ ,98.86
+ ,108.45
+ ,127.27
+ ,99.15
+ ,96.87
+ ,115.49
+ ,109.09
+ ,100.28
+ ,103.18
+ ,129.58
+ ,136.36
+ ,103.82
+ ,104.66
+ ,143.66
+ ,100.00
+ ,108.16
+ ,103.74
+ ,147.89
+ ,118.18
+ ,112.33
+ ,103.87
+ ,152.11
+ ,136.36
+ ,110.70
+ ,98.10
+ ,152.11
+ ,100.00
+ ,111.04
+ ,98.91
+ ,156.34
+ ,127.27
+ ,111.07
+ ,109.43
+ ,154.93
+ ,118.18
+ ,113.37
+ ,104.89
+ ,156.34
+ ,136.36
+ ,115.28
+ ,88.63
+ ,143.66
+ ,145.45
+ ,120.25
+ ,97.03
+ ,135.21
+ ,154.55
+ ,121.96
+ ,93.79
+ ,130.99
+ ,100.00
+ ,122.35
+ ,97.61
+ ,125.35
+ ,145.45
+ ,122.81
+ ,98.17
+ ,123.94
+ ,118.18
+ ,131.12
+ ,96.31
+ ,125.35
+ ,154.55
+ ,132.04
+ ,97.82
+ ,126.76
+ ,145.45
+ ,128.74
+ ,87.52
+ ,125.35
+ ,154.55
+ ,126.11
+ ,85.71
+ ,123.94
+ ,172.73
+ ,127.05
+ ,89.15
+ ,126.76
+ ,163.64
+ ,132.37
+ ,90.65
+ ,123.94
+ ,172.73
+ ,132.48
+ ,92.74
+ ,123.94
+ ,145.45
+ ,139.09
+ ,80.00
+ ,136.62
+ ,136.36
+ ,142.79
+ ,84.33
+ ,138.03
+ ,145.45
+ ,143.17
+ ,93.26
+ ,140.85
+ ,145.45
+ ,138.82
+ ,115.89
+ ,142.25
+ ,154.55
+ ,135.68
+ ,105.21
+ ,142.25
+ ,181.82
+ ,135.93
+ ,94.23
+ ,140.85
+ ,181.82
+ ,137.42
+ ,106.12
+ ,126.76
+ ,172.73
+ ,138.87
+ ,94.41
+ ,123.94
+ ,154.55
+ ,137.85
+ ,101.30
+ ,118.31
+ ,163.64
+ ,138.32
+ ,98.43
+ ,112.68
+ ,172.73
+ ,141.40
+ ,107.94
+ ,114.08
+ ,154.55
+ ,147.07
+ ,102.82
+ ,112.68
+ ,181.82
+ ,151.79
+ ,92.33
+ ,109.86
+ ,190.91
+ ,148.52
+ ,97.48
+ ,108.45
+ ,218.18
+ ,147.33
+ ,88.37
+ ,102.82
+ ,227.27
+ ,149.45
+ ,92.50
+ ,101.41
+ ,227.27
+ ,146.47
+ ,81.48
+ ,101.41
+ ,236.36
+ ,143.71
+ ,92.55
+ ,94.37
+ ,200.00
+ ,137.72
+ ,98.96
+ ,94.37
+ ,227.27
+ ,136.27
+ ,77.28
+ ,90.14
+ ,254.55
+ ,139.16
+ ,91.01
+ ,90.14
+ ,254.55
+ ,138.75
+ ,81.21
+ ,88.73
+ ,263.64
+ ,136.02
+ ,88.41
+ ,84.51
+ ,272.73
+ ,133.43
+ ,96.02
+ ,77.46
+ ,281.82
+ ,134.22
+ ,91.59
+ ,66.20
+ ,263.64
+ ,137.02
+ ,86.30
+ ,53.52
+ ,245.45
+ ,135.15
+ ,86.37
+ ,50.70
+ ,200.00
+ ,136.08
+ ,105.41
+ ,35.21
+ ,227.27
+ ,138.92
+ ,76.73
+ ,23.94
+ ,209.09
+ ,144.57
+ ,93.26
+ ,22.54
+ ,236.36
+ ,143.21
+ ,95.02
+ ,30.99
+ ,209.09
+ ,143.60
+ ,84.32
+ ,30.99
+ ,200.00
+ ,145.04
+ ,93.24
+ ,28.17
+ ,163.64
+ ,144.08
+ ,89.81
+ ,26.76
+ ,163.64
+ ,142.77
+ ,111.66
+ ,22.54
+ ,181.82
+ ,145.83
+ ,103.23
+ ,26.76
+ ,145.45
+ ,149.59
+ ,103.21
+ ,36.62
+ ,163.64)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('$wssk'
+ ,'imp'
+ ,'hb'
+ ,'infl')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('$wssk','imp','hb','infl'),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: 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/1q2971257938664.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 = -1.9453, p-value = 0.05174
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
-0.1723651 

> 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/2wyu91257938664.tab") 
> 
> system("convert tmp/1q2971257938664.ps tmp/1q2971257938664.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.481   0.211   1.124