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(88.74
+ ,88.95
+ ,89.59
+ ,0.42
+ ,88.92
+ ,88.81
+ ,89.61
+ ,0.74
+ ,88.77
+ ,88.90
+ ,89.36
+ ,1.02
+ ,89.17
+ ,90.15
+ ,89.53
+ ,1.51
+ ,89.61
+ ,90.92
+ ,90.17
+ ,1.86
+ ,89.52
+ ,90.78
+ ,89.97
+ ,1.59
+ ,89.74
+ ,90.81
+ ,89.98
+ ,1.03
+ ,89.40
+ ,89.46
+ ,89.92
+ ,0.44
+ ,89.36
+ ,89.22
+ ,90.07
+ ,0.82
+ ,89.38
+ ,88.89
+ ,90.13
+ ,0.86
+ ,89.36
+ ,89.41
+ ,90.08
+ ,0.57
+ ,89.29
+ ,89.59
+ ,89.76
+ ,0.59
+ ,89.59
+ ,90.25
+ ,89.78
+ ,0.95
+ ,89.79
+ ,90.20
+ ,89.81
+ ,0.98
+ ,89.86
+ ,90.27
+ ,90.08
+ ,1.23
+ ,90.21
+ ,90.71
+ ,90.62
+ ,1.17
+ ,90.37
+ ,91.18
+ ,90.68
+ ,0.84
+ ,90.19
+ ,90.66
+ ,90.49
+ ,0.74
+ ,90.33
+ ,89.72
+ ,90.96
+ ,0.65
+ ,90.22
+ ,88.72
+ ,91.28
+ ,0.91
+ ,90.42
+ ,88.91
+ ,91.58
+ ,1.19
+ ,90.54
+ ,89.15
+ ,91.72
+ ,1.3
+ ,90.73
+ ,89.15
+ ,92
+ ,1.53
+ ,91.02
+ ,89.08
+ ,92.57
+ ,1.94
+ ,91.19
+ ,89.28
+ ,92.58
+ ,1.79
+ ,91.53
+ ,89.47
+ ,93.15
+ ,1.95
+ ,91.88
+ ,89.53
+ ,93.7
+ ,2.26
+ ,92.06
+ ,90.72
+ ,93.34
+ ,2.04
+ ,92.32
+ ,90.91
+ ,93.93
+ ,2.16
+ ,92.67
+ ,91.38
+ ,94.41
+ ,2.75
+ ,92.85
+ ,91.49
+ ,94.3
+ ,2.79
+ ,92.82
+ ,90.90
+ ,94.44
+ ,2.88
+ ,93.46
+ ,90.93
+ ,96.09
+ ,3.36
+ ,93.23
+ ,90.57
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+ ,2.97
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+ ,91.28
+ ,96.23
+ ,3.1
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+ ,94.88
+ ,2.2
+ ,93.60
+ ,91.58
+ ,95.48
+ ,2.25
+ ,93.81
+ ,92.49
+ ,95.52
+ ,2.09
+ ,94.62
+ ,94.16
+ ,96.18
+ ,2.79
+ ,95.22
+ ,95.46
+ ,96.82
+ ,3.14
+ ,95.38
+ ,95.80
+ ,96.81
+ ,2.93
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+ ,95.32
+ ,96.25
+ ,2.65
+ ,95.30
+ ,95.41
+ ,96.24
+ ,2.67
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+ ,95.35
+ ,96.95
+ ,2.26
+ ,95.42
+ ,95.68
+ ,96.25
+ ,2.35
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+ ,95.59
+ ,96.04
+ ,2.13
+ ,95.33
+ ,94.96
+ ,95.78
+ ,2.18
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+ ,96.92
+ ,95.86
+ ,2.90
+ ,96.06
+ ,96.06
+ ,96.02
+ ,2.63
+ ,96.31
+ ,96.59
+ ,96.34
+ ,2.67
+ ,96.34
+ ,96.67
+ ,96.84
+ ,1.81
+ ,96.49
+ ,97.27
+ ,96.73
+ ,1.33
+ ,96.22
+ ,96.38
+ ,96.34
+ ,0.88
+ ,96.53
+ ,96.47
+ ,96.60
+ ,1.28
+ ,96.50
+ ,96.05
+ ,96.64
+ ,1.26
+ ,96.77
+ ,96.76
+ ,97.20
+ ,1.26
+ ,96.66
+ ,96.51
+ ,97.50
+ ,1.29
+ ,96.58
+ ,96.55
+ ,96.99
+ ,1.10
+ ,96.63
+ ,95.97
+ ,97.08
+ ,1.37
+ ,97.06
+ ,97.00
+ ,97.55
+ ,1.21
+ ,97.73
+ ,97.46
+ ,98.42
+ ,1.74
+ ,98.01
+ ,97.90
+ ,98.78
+ ,1.76
+ ,97.76
+ ,98.42
+ ,97.49
+ ,1.48
+ ,97.49
+ ,98.54
+ ,96.99
+ ,1.04
+ ,97.77
+ ,99.00
+ ,97.16
+ ,1.62
+ ,97.96
+ ,98.94
+ ,97.29
+ ,1.49
+ ,98.23
+ ,99.02
+ ,97.80
+ ,1.79
+ ,98.51
+ ,100.07
+ ,98.12
+ ,1.80
+ ,98.19
+ ,98.72
+ ,98.03
+ ,1.58
+ ,98.37
+ ,98.73
+ ,98.11
+ ,1.86
+ ,98.31
+ ,98.04
+ ,98.07
+ ,1.74
+ ,98.60
+ ,99.08
+ ,98.21
+ ,1.59
+ ,98.97
+ ,99.22
+ ,98.48
+ ,1.26
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+ ,99.57
+ ,98.83
+ ,1.13
+ ,99.64
+ ,100.44
+ ,99.20
+ ,1.92
+ ,100.03
+ ,100.84
+ ,99.88
+ ,2.61
+ ,99.98
+ ,100.75
+ ,99.71
+ ,2.26
+ ,100.32
+ ,100.49
+ ,100.03
+ ,2.41
+ ,100.44
+ ,99.98
+ ,100.60
+ ,2.26
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+ ,99.96
+ ,100.85
+ ,2.03
+ ,101.00
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+ ,101.96
+ ,2.86
+ ,100.88
+ ,100.11
+ ,101.40
+ ,2.55
+ ,100.55
+ ,99.79
+ ,100.81
+ ,2.27
+ ,100.83
+ ,100.29
+ ,100.66
+ ,2.26
+ ,101.51
+ ,101.12
+ ,101.55
+ ,2.57
+ ,102.16
+ ,102.65
+ ,102.23
+ ,3.07
+ ,102.39
+ ,102.71
+ ,102.90
+ ,2.76
+ ,102.54
+ ,103.39
+ ,102.68
+ ,2.51
+ ,102.85
+ ,102.80
+ ,103.41
+ ,2.87
+ ,103.47
+ ,102.07
+ ,104.62
+ ,3.14
+ ,103.57
+ ,102.15
+ ,104.93
+ ,3.11
+ ,103.69
+ ,101.21
+ ,105.88
+ ,3.16
+ ,103.50
+ ,101.27
+ ,105.18
+ ,2.47
+ ,103.47
+ ,101.86
+ ,104.54
+ ,2.57
+ ,103.45
+ ,101.65
+ ,104.58
+ ,2.89
+ ,103.48
+ ,101.94
+ ,104.34
+ ,2.63
+ ,103.93
+ ,102.62
+ ,104.66
+ ,2.38
+ ,103.89
+ ,102.71
+ ,104.73
+ ,1.69
+ ,104.40
+ ,103.39
+ ,105.44
+ ,1.96
+ ,104.79
+ ,104.51
+ ,105.72
+ ,2.19
+ ,104.77
+ ,104.09
+ ,105.68
+ ,1.87
+ ,105.13
+ ,104.29
+ ,105.90
+ ,1.60
+ ,105.26
+ ,104.57
+ ,105.97
+ ,1.63
+ ,104.96
+ ,105.39
+ ,105.21
+ ,1.22
+ ,104.75
+ ,105.15
+ ,104.75
+ ,1.21
+ ,105.01
+ ,106.13
+ ,104.89
+ ,1.49
+ ,105.15
+ ,105.46
+ ,105.26
+ ,1.64
+ ,105.20
+ ,106.47
+ ,104.84
+ ,1.66
+ ,105.77
+ ,106.62
+ ,105.47
+ ,1.77
+ ,105.78
+ ,106.52
+ ,105.40
+ ,1.82
+ ,106.26
+ ,108.04
+ ,105.73
+ ,1.78
+ ,106.13
+ ,107.15
+ ,105.72
+ ,1.28
+ ,106.12
+ ,107.32
+ ,105.63
+ ,1.29
+ ,106.57
+ ,107.76
+ ,105.97
+ ,1.37
+ ,106.44
+ ,107.26
+ ,105.92
+ ,1.12
+ ,106.54
+ ,107.89
+ ,106.32
+ ,1.51)
+ ,dim=c(4
+ ,117)
+ ,dimnames=list(c('1'
+ ,'2'
+ ,'3'
+ ,'4
')
+ ,1:117))
>  y <- array(NA,dim=c(4,117),dimnames=list(c('1','2','3','4
'),1:117))
>  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/16a1y1196027768.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)
Warning messages:
1: In strwidth(labels, "user") : font width unknown for character 0xd
2: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
3: In text.default(x, y, txt, cex = cex, font = font) :
  font metrics unknown for character 0xd
4: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
> 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 = 14.2355, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
     tau 
0.890838 

> 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/25n4y1196027768.tab") 
> 
> system("convert tmp/16a1y1196027768.ps tmp/16a1y1196027768.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.808   0.245   0.884