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 'q()' to quit R.

> x <- array(list(6.9
+ ,4.8
+ ,2.28
+ ,1145.11
+ ,6.8
+ ,4.8
+ ,2.26
+ ,1176.86
+ ,6.7
+ ,4.7
+ ,2.71
+ ,1206.41
+ ,6.6
+ ,4.7
+ ,2.77
+ ,1192.72
+ ,6.5
+ ,4.7
+ ,2.77
+ ,1214.82
+ ,6.5
+ ,4.6
+ ,2.64
+ ,1199.07
+ ,7.0
+ ,5.0
+ ,2.56
+ ,1157.47
+ ,7.5
+ ,5.4
+ ,2.07
+ ,1100.10
+ ,7.6
+ ,5.5
+ ,2.32
+ ,1095.63
+ ,7.6
+ ,5.6
+ ,2.16
+ ,1105.63
+ ,7.6
+ ,5.6
+ ,2.23
+ ,1137.79
+ ,7.8
+ ,5.8
+ ,2.40
+ ,1124.72
+ ,8.0
+ ,6.0
+ ,2.84
+ ,1152.60
+ ,8.0
+ ,6.1
+ ,2.77
+ ,1211.85
+ ,8.0
+ ,6.1
+ ,2.93
+ ,1239.62
+ ,7.9
+ ,6.0
+ ,2.91
+ ,1244.13
+ ,7.9
+ ,6.0
+ ,2.69
+ ,1198.42
+ ,8.0
+ ,6.1
+ ,2.38
+ ,1227.99
+ ,8.5
+ ,6.5
+ ,2.58
+ ,1304.92
+ ,9.2
+ ,7.1
+ ,3.19
+ ,1340.26
+ ,9.4
+ ,7.4
+ ,2.82
+ ,1307.32
+ ,9.5
+ ,7.4
+ ,2.72
+ ,1356.51
+ ,9.5
+ ,7.5
+ ,2.53
+ ,1383.29
+ ,9.6
+ ,7.6
+ ,2.70
+ ,1437.87
+ ,9.7
+ ,7.8
+ ,2.42
+ ,1494.56
+ ,9.7
+ ,7.8
+ ,2.50
+ ,1521.42
+ ,9.6
+ ,7.7
+ ,2.31
+ ,1498.76
+ ,9.5
+ ,7.6
+ ,2.41
+ ,1488.75
+ ,9.4
+ ,7.5
+ ,2.56
+ ,1524.62
+ ,9.3
+ ,7.3
+ ,2.76
+ ,1439.27
+ ,9.6
+ ,7.6
+ ,2.71
+ ,1423.11
+ ,10.2
+ ,8.0
+ ,2.44
+ ,1466.85
+ ,10.2
+ ,8.8
+ ,2.46
+ ,1425.83
+ ,10.1
+ ,7.9
+ ,2.12
+ ,1363.45
+ ,9.9
+ ,7.8
+ ,1.99
+ ,1389.18
+ ,9.8
+ ,7.7
+ ,1.86
+ ,1395.89
+ ,9.8
+ ,7.8
+ ,1.88
+ ,1368.43
+ ,9.7
+ ,7.7
+ ,1.82
+ ,1349.03
+ ,9.5
+ ,7.5
+ ,1.74
+ ,1299.88
+ ,9.3
+ ,7.3
+ ,1.71
+ ,1365.41
+ ,9.1
+ ,7.1
+ ,1.38
+ ,1451.04
+ ,9.0
+ ,7.0
+ ,1.27
+ ,1433.75
+ ,9.5
+ ,7.3
+ ,1.19
+ ,1464.65
+ ,10.0
+ ,7.8
+ ,1.28
+ ,1475.57
+ ,10.2
+ ,7.9
+ ,1.19
+ ,1571.16
+ ,10.1
+ ,7.9
+ ,1.22
+ ,1429.12
+ ,10.0
+ ,7.8
+ ,1.47
+ ,1452.46
+ ,9.9
+ ,7.8
+ ,1.46
+ ,1538.09
+ ,10.0
+ ,7.9
+ ,1.96
+ ,1631.59
+ ,9.9
+ ,7.8
+ ,1.88
+ ,1665.50
+ ,9.7
+ ,7.6
+ ,2.03
+ ,1690.60
+ ,9.5
+ ,7.4
+ ,2.04
+ ,1711.74
+ ,9.2
+ ,7.2
+ ,1.90
+ ,1734.10
+ ,9.0
+ ,6.9
+ ,1.80
+ ,1748.09
+ ,9.3
+ ,7.1
+ ,1.92
+ ,1703.45
+ ,9.8
+ ,7.5
+ ,1.92
+ ,1745.74
+ ,9.8
+ ,7.6
+ ,1.97
+ ,1751.01
+ ,9.6
+ ,7.4
+ ,2.46
+ ,1795.65
+ ,9.4
+ ,7.3
+ ,2.36
+ ,1852.13
+ ,9.3
+ ,7.2
+ ,2.53
+ ,1877.10
+ ,9.2
+ ,7.3
+ ,2.31
+ ,1989.31
+ ,9.2
+ ,7.2
+ ,1.98
+ ,2097.76
+ ,9.0
+ ,7.1
+ ,1.46
+ ,2154.87
+ ,8.8
+ ,7.0
+ ,1.26
+ ,2152.18
+ ,8.7
+ ,6.9
+ ,1.58
+ ,2250.27
+ ,8.7
+ ,6.8
+ ,1.74
+ ,2346.90
+ ,9.1
+ ,7.2
+ ,1.89
+ ,2525.56
+ ,9.7
+ ,7.6
+ ,1.85
+ ,2409.36
+ ,9.8
+ ,7.7
+ ,1.62
+ ,2394.36
+ ,9.6
+ ,7.6
+ ,1.30
+ ,2401.33
+ ,9.4
+ ,7.5
+ ,1.42
+ ,2354.32
+ ,9.4
+ ,7.5
+ ,1.15
+ ,2450.41
+ ,9.5
+ ,7.6
+ ,0.42
+ ,2504.67
+ ,9.4
+ ,7.6
+ ,0.74
+ ,2661.39
+ ,9.3
+ ,7.6
+ ,1.02
+ ,2880.40
+ ,9.2
+ ,7.5
+ ,1.51
+ ,3064.42
+ ,9.0
+ ,7.3
+ ,1.86
+ ,3141.12
+ ,8.9
+ ,7.2
+ ,1.59
+ ,3327.70
+ ,9.2
+ ,7.4
+ ,1.03
+ ,3564.95
+ ,9.8
+ ,8.0
+ ,0.44
+ ,3403.13
+ ,9.9
+ ,8.2
+ ,0.82
+ ,3149.90
+ ,9.6
+ ,8.0
+ ,0.86
+ ,3006.84
+ ,9.2
+ ,7.7
+ ,0.58
+ ,3230.66
+ ,9.1
+ ,7.7
+ ,0.59
+ ,3361.13
+ ,9.1
+ ,7.8
+ ,0.95
+ ,3484.74
+ ,9.0
+ ,7.8
+ ,0.98
+ ,3411.13
+ ,8.9
+ ,7.7
+ ,1.23
+ ,3288.18
+ ,8.7
+ ,7.5
+ ,1.17
+ ,3280.37
+ ,8.5
+ ,7.3
+ ,0.84
+ ,3173.95
+ ,8.3
+ ,7.1
+ ,0.74
+ ,3165.26
+ ,8.5
+ ,7.1
+ ,0.65
+ ,3092.71
+ ,8.7
+ ,7.2
+ ,0.91
+ ,3053.05
+ ,8.4
+ ,6.8
+ ,1.19
+ ,3181.96
+ ,8.1
+ ,6.6
+ ,1.30
+ ,2999.93
+ ,7.8
+ ,6.4
+ ,1.53
+ ,3249.57
+ ,7.7
+ ,6.4
+ ,1.94
+ ,3210.52
+ ,7.5
+ ,6.5
+ ,1.79
+ ,3030.29
+ ,7.2
+ ,6.3
+ ,1.95
+ ,2803.47
+ ,6.8
+ ,5.9
+ ,2.26
+ ,2767.63
+ ,6.7
+ ,5.5
+ ,2.04
+ ,2882.60
+ ,6.4
+ ,5.2
+ ,2.16
+ ,2863.36
+ ,6.3
+ ,4.9
+ ,2.75
+ ,2897.06
+ ,6.8
+ ,5.4
+ ,2.79
+ ,3012.61
+ ,7.3
+ ,5.8
+ ,2.88
+ ,3142.95
+ ,7.1
+ ,5.7
+ ,3.36
+ ,3032.93
+ ,7.0
+ ,5.6
+ ,2.97
+ ,3045.78
+ ,6.8
+ ,5.5
+ ,3.10
+ ,3110.52
+ ,6.6
+ ,5.4
+ ,2.49
+ ,3013.24
+ ,6.3
+ ,5.4
+ ,2.20
+ ,2987.10
+ ,6.1
+ ,5.4
+ ,2.25
+ ,2995.55
+ ,6.1
+ ,5.5
+ ,2.09
+ ,2833.18
+ ,6.3
+ ,5.8
+ ,2.79
+ ,2848.96
+ ,6.3
+ ,5.7
+ ,3.14
+ ,2794.83
+ ,6.0
+ ,5.4
+ ,2.93
+ ,2845.26
+ ,6.2
+ ,5.6
+ ,2.65
+ ,2915.02
+ ,6.4
+ ,5.8
+ ,2.67
+ ,2892.63
+ ,6.8
+ ,6.2
+ ,2.26
+ ,2604.42
+ ,7.5
+ ,6.8
+ ,2.35
+ ,2641.65
+ ,7.5
+ ,6.7
+ ,2.13
+ ,2659.81
+ ,7.6
+ ,6.7
+ ,2.18
+ ,2638.53
+ ,7.6
+ ,6.4
+ ,2.90
+ ,2720.25
+ ,7.4
+ ,6.3
+ ,2.63
+ ,2745.88
+ ,7.3
+ ,6.3
+ ,2.67
+ ,2735.70
+ ,7.1
+ ,6.4
+ ,1.81
+ ,2811.70
+ ,6.9
+ ,6.3
+ ,1.33
+ ,2799.43
+ ,6.8
+ ,6.0
+ ,0.88
+ ,2555.28
+ ,7.5
+ ,6.3
+ ,1.28
+ ,2304.98
+ ,7.6
+ ,6.3
+ ,1.26
+ ,2214.95
+ ,7.8
+ ,6.6
+ ,1.26
+ ,2065.81
+ ,8.0
+ ,7.5
+ ,1.29
+ ,1940.49
+ ,8.1
+ ,7.8
+ ,1.10
+ ,2042.00
+ ,8.2
+ ,7.9
+ ,1.37
+ ,1995.37
+ ,8.3
+ ,7.8
+ ,1.21
+ ,1946.81
+ ,8.2
+ ,7.6
+ ,1.74
+ ,1765.90
+ ,8.0
+ ,7.5
+ ,1.76
+ ,1635.25
+ ,7.9
+ ,7.6
+ ,1.48
+ ,1833.42
+ ,7.6
+ ,7.5
+ ,1.04
+ ,1910.43
+ ,7.6
+ ,7.3
+ ,1.62
+ ,1959.67
+ ,8.3
+ ,7.6
+ ,1.49
+ ,1969.60
+ ,8.4
+ ,7.5
+ ,1.79
+ ,2061.41
+ ,8.4
+ ,7.6
+ ,1.80
+ ,2093.48
+ ,8.4
+ ,7.9
+ ,1.58
+ ,2120.88
+ ,8.4
+ ,7.9
+ ,1.86
+ ,2174.56
+ ,8.6
+ ,8.1
+ ,1.74
+ ,2196.72
+ ,8.9
+ ,8.2
+ ,1.59
+ ,2350.44
+ ,8.8
+ ,8.0
+ ,1.26
+ ,2440.25
+ ,8.3
+ ,7.5
+ ,1.13
+ ,2408.64
+ ,7.5
+ ,6.8
+ ,1.92
+ ,2472.81
+ ,7.2
+ ,6.5
+ ,2.61
+ ,2407.60
+ ,7.4
+ ,6.6
+ ,2.26
+ ,2454.62
+ ,8.8
+ ,7.6
+ ,2.41
+ ,2448.05
+ ,9.3
+ ,8.0
+ ,2.26
+ ,2497.84
+ ,9.3
+ ,8.1
+ ,2.03
+ ,2645.64
+ ,8.7
+ ,7.7
+ ,2.86
+ ,2756.76
+ ,8.2
+ ,7.5
+ ,2.55
+ ,2849.27
+ ,8.3
+ ,7.6
+ ,2.27
+ ,2921.44
+ ,8.5
+ ,7.8
+ ,2.26
+ ,2981.85
+ ,8.6
+ ,7.8
+ ,2.57
+ ,3080.58
+ ,8.5
+ ,7.8
+ ,3.07
+ ,3106.22
+ ,8.2
+ ,7.5
+ ,2.76
+ ,3119.31
+ ,8.1
+ ,7.5
+ ,2.51
+ ,3061.26
+ ,7.9
+ ,7.1
+ ,2.87
+ ,3097.31
+ ,8.6
+ ,7.5
+ ,3.14
+ ,3161.69
+ ,8.7
+ ,7.5
+ ,3.11
+ ,3257.16
+ ,8.7
+ ,7.6
+ ,3.16
+ ,3277.01
+ ,8.5
+ ,7.7
+ ,2.47
+ ,3295.32
+ ,8.4
+ ,7.7
+ ,2.57
+ ,3363.99
+ ,8.5
+ ,7.9
+ ,2.89
+ ,3494.17
+ ,8.7
+ ,8.1
+ ,2.63
+ ,3667.03
+ ,8.7
+ ,8.2
+ ,2.38
+ ,3813.06
+ ,8.6
+ ,8.2
+ ,1.69
+ ,3917.96
+ ,8.5
+ ,8.2
+ ,1.96
+ ,3895.51
+ ,8.3
+ ,7.9
+ ,2.19
+ ,3801.06
+ ,8.0
+ ,7.3
+ ,1.87
+ ,3570.12
+ ,8.2
+ ,6.9
+ ,1.6
+ ,3701.61
+ ,8.1
+ ,6.6
+ ,1.63
+ ,3862.27
+ ,8.1
+ ,6.7
+ ,1.22
+ ,3970.10
+ ,8.0
+ ,6.9
+ ,1.21
+ ,4138.52
+ ,7.9
+ ,7.0
+ ,1.49
+ ,4199.75
+ ,7.9
+ ,7.1
+ ,1.64
+ ,4290.89)
+ ,dim=c(4
+ ,180)
+ ,dimnames=list(c('totwerkl'
+ ,'werklman'
+ ,'infl'
+ ,'bel20')
+ ,1:180))
>  y <- array(NA,dim=c(4,180),dimnames=list(c('totwerkl','werklman','infl','bel20'),1:180))
>  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/12a2d1257791800.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 = 11.5637, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.5988568 

> 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/266l41257791800.tab") 
> system("convert tmp/12a2d1257791800.ps tmp/12a2d1257791800.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.711   0.290   0.786