R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'license()' or 'licence()' for distribution details.

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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(4.43
+ ,109.1
+ ,2187
+ ,88.3
+ ,4.61
+ ,113.8
+ ,1852
+ ,88.6
+ ,4.54
+ ,97.4
+ ,1570
+ ,91
+ ,4.2
+ ,72.5
+ ,1851
+ ,91.5
+ ,4.08
+ ,82.7
+ ,1954
+ ,95.4
+ ,3.95
+ ,88.9
+ ,1828
+ ,98.7
+ ,4.19
+ ,105.9
+ ,2251
+ ,99.9
+ ,4.23
+ ,100.8
+ ,2277
+ ,98.6
+ ,3.89
+ ,94
+ ,2085
+ ,100.3
+ ,3.92
+ ,105
+ ,2282
+ ,100.2
+ ,4.14
+ ,58.5
+ ,2266
+ ,100.4
+ ,4.24
+ ,87.6
+ ,1878
+ ,101.4
+ ,4.08
+ ,113.1
+ ,2267
+ ,103
+ ,4.37
+ ,112.5
+ ,2069
+ ,109.1
+ ,4.43
+ ,89.6
+ ,1746
+ ,111.4
+ ,4.3
+ ,74.5
+ ,2299
+ ,114.1
+ ,4.27
+ ,82.7
+ ,2360
+ ,121.8
+ ,4.06
+ ,90.1
+ ,2214
+ ,127.6
+ ,3.96
+ ,109.4
+ ,2825
+ ,129.9
+ ,4.21
+ ,96
+ ,2355
+ ,128
+ ,4.31
+ ,89.2
+ ,2333
+ ,123.5
+ ,4.35
+ ,109.1
+ ,3016
+ ,124
+ ,4.25
+ ,49.1
+ ,2155
+ ,127.4
+ ,4.06
+ ,92.9
+ ,2172
+ ,127.6
+ ,4
+ ,107.7
+ ,2150
+ ,128.4
+ ,3.87
+ ,103.5
+ ,2533
+ ,131.4
+ ,3.71
+ ,91.1
+ ,2058
+ ,135.1
+ ,3.63
+ ,79.8
+ ,2160
+ ,134
+ ,3.48
+ ,71.9
+ ,2259
+ ,144.5
+ ,3.6
+ ,82.9
+ ,2498
+ ,147.3
+ ,3.66
+ ,90.1
+ ,2695
+ ,150.9
+ ,3.45
+ ,100.7
+ ,2799
+ ,148.7
+ ,3.3
+ ,90.7
+ ,2945
+ ,141.4
+ ,3.14
+ ,108.8
+ ,2930
+ ,138.9
+ ,3.21
+ ,44.1
+ ,2318
+ ,139.8
+ ,3.12
+ ,93.6
+ ,2540
+ ,145.6
+ ,3.14
+ ,107.4
+ ,2570
+ ,147.9
+ ,3.4
+ ,96.5
+ ,2669
+ ,148.5
+ ,3.42
+ ,93.6
+ ,2450
+ ,151.1
+ ,3.29
+ ,76.5
+ ,2842
+ ,157.5
+ ,3.49
+ ,76.7
+ ,3439
+ ,167.5
+ ,3.52
+ ,84
+ ,2677
+ ,172.3
+ ,3.81
+ ,103.3
+ ,2979
+ ,173.5
+ ,4.03
+ ,88.5
+ ,2257
+ ,187.5
+ ,3.98
+ ,99
+ ,2842
+ ,205.5
+ ,4.1
+ ,105.9
+ ,2546
+ ,195.1
+ ,3.96
+ ,44.7
+ ,2455
+ ,204.5
+ ,3.83
+ ,94
+ ,2293
+ ,204.5
+ ,3.72
+ ,107.1
+ ,2379
+ ,201.7
+ ,3.82
+ ,104.8
+ ,2478
+ ,207
+ ,3.76
+ ,102.5
+ ,2054
+ ,206.6
+ ,3.98
+ ,77.7
+ ,2272
+ ,210.6
+ ,4.14
+ ,85.2
+ ,2351
+ ,211.1
+ ,4
+ ,91.3
+ ,2271
+ ,215
+ ,4.13
+ ,106.5
+ ,2542
+ ,223.9
+ ,4.28
+ ,92.4
+ ,2304
+ ,238.2
+ ,4.46
+ ,97.5
+ ,2194
+ ,238.9
+ ,4.63
+ ,107
+ ,2722
+ ,229.6
+ ,4.49
+ ,51.1
+ ,2395
+ ,232.2
+ ,4.41
+ ,98.6
+ ,2146
+ ,222.1
+ ,4.5
+ ,102.2
+ ,1894
+ ,221.6
+ ,4.39
+ ,114.3
+ ,2548
+ ,227.3
+ ,4.33
+ ,99.4
+ ,2087
+ ,221
+ ,4.45
+ ,72.5
+ ,2063
+ ,213.6
+ ,4.17
+ ,92.3
+ ,2481
+ ,243.4
+ ,4.13
+ ,99.4
+ ,2476
+ ,253.8
+ ,4.33
+ ,85.9
+ ,2212
+ ,265.3
+ ,4.47
+ ,109.4
+ ,2834
+ ,268.2
+ ,4.63
+ ,97.6
+ ,2148
+ ,268.5
+ ,4.9
+ ,104.7
+ ,2598
+ ,266.9)
+ ,dim=c(4
+ ,70)
+ ,dimnames=list(c('Rente'
+ ,'Ind.Prod.'
+ ,'Bouwvergunn.'
+ ,'Tot.pr.')
+ ,1:70))
>  y <- array(NA,dim=c(4,70),dimnames=list(c('Rente','Ind.Prod.','Bouwvergunn.','Tot.pr.'),1:70))
>  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/1bhew1228480666.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 = 1.4959, p-value = 0.1347
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.1226611 

> 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/2d0bp1228480666.tab") 
> 
> system("convert tmp/1bhew1228480666.ps tmp/1bhew1228480666.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.519   0.220   0.590