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(111.632
+ ,123.560
+ ,93.028
+ ,283.042
+ ,106.707
+ ,122.117
+ ,92.285
+ ,276.687
+ ,108.827
+ ,121.782
+ ,91.685
+ ,277.915
+ ,108.413
+ ,121.789
+ ,94.260
+ ,277.128
+ ,106.249
+ ,122.273
+ ,93.858
+ ,277.103
+ ,104.861
+ ,121.683
+ ,92.437
+ ,275.037
+ ,102.382
+ ,119.869
+ ,92.980
+ ,270.150
+ ,100.320
+ ,118.873
+ ,92.099
+ ,267.140
+ ,100.228
+ ,117.607
+ ,92.803
+ ,264.993
+ ,117.089
+ ,122.783
+ ,88.551
+ ,287.259
+ ,121.523
+ ,124.454
+ ,98.334
+ ,291.186
+ ,114.948
+ ,127.064
+ ,98.329
+ ,292.300
+ ,112.831
+ ,125.166
+ ,96.455
+ ,288.186
+ ,107.605
+ ,124.554
+ ,97.109
+ ,281.477
+ ,108.928
+ ,124.272
+ ,97.687
+ ,282.656
+ ,101.993
+ ,128.836
+ ,98.512
+ ,280.190
+ ,102.850
+ ,127.408
+ ,98.673
+ ,280.408
+ ,99.925
+ ,126.420
+ ,96.028
+ ,276.836
+ ,101.536
+ ,124.465
+ ,98.014
+ ,275.216
+ ,99.450
+ ,124.526
+ ,95.580
+ ,274.352
+ ,98.305
+ ,124.379
+ ,97.838
+ ,271.311
+ ,110.159
+ ,130.189
+ ,97.760
+ ,289.802
+ ,109.483
+ ,132.196
+ ,99.913
+ ,290.726
+ ,106.810
+ ,134.893
+ ,97.588
+ ,292.300
+ ,96.279
+ ,132.709
+ ,93.942
+ ,278.506
+ ,91.982
+ ,129.955
+ ,93.656
+ ,269.826
+ ,90.276
+ ,127.947
+ ,92.881
+ ,265.861
+ ,90.999
+ ,130.369
+ ,93.120
+ ,269.034
+ ,86.622
+ ,129.852
+ ,91.063
+ ,264.176
+ ,83.117
+ ,124.278
+ ,90.930
+ ,255.198
+ ,80.367
+ ,126.141
+ ,91.946
+ ,253.353
+ ,77.550
+ ,121.743
+ ,94.624
+ ,246.057
+ ,77.443
+ ,110.898
+ ,65.484
+ ,235.372
+ ,92.844
+ ,117.707
+ ,95.862
+ ,258.556
+ ,92.175
+ ,120.738
+ ,95.530
+ ,260.993
+ ,84.822
+ ,121.445
+ ,94.574
+ ,254.663
+ ,81.632
+ ,120.439
+ ,94.677
+ ,250.643
+ ,78.872
+ ,116.313
+ ,93.845
+ ,243.422
+ ,81.485
+ ,117.173
+ ,91.533
+ ,247.105
+ ,80.651
+ ,119.773
+ ,91.214
+ ,248.541
+ ,78.192
+ ,119.639
+ ,90.922
+ ,245.039
+ ,76.844
+ ,113.006
+ ,89.563
+ ,237.080
+ ,76.335
+ ,113.776
+ ,89.945
+ ,237.085
+ ,71.415
+ ,107.866
+ ,91.850
+ ,225.554
+ ,73.889
+ ,106.924
+ ,92.505
+ ,226.839
+ ,86.822
+ ,114.562
+ ,92.437
+ ,247.934
+ ,86.371
+ ,115.367
+ ,93.876
+ ,248.333
+ ,83.469
+ ,116.602
+ ,93.561
+ ,246.969
+ ,82.662
+ ,114.393
+ ,94.119
+ ,245.098
+ ,82.880
+ ,115.140
+ ,95.264
+ ,246.263
+ ,89.406
+ ,117.623
+ ,96.089
+ ,255.765
+ ,95.378
+ ,119.361
+ ,97.160
+ ,264.319
+ ,97.657
+ ,120.527
+ ,98.644
+ ,268.347
+ ,100.247
+ ,121.660
+ ,96.266
+ ,273.046
+ ,99.180
+ ,122.852
+ ,97.938
+ ,273.963
+ ,97.493
+ ,119.325
+ ,99.757
+ ,267.430
+ ,101.628
+ ,119.151
+ ,101.550
+ ,271.993
+ ,114.585
+ ,126.494
+ ,102.449
+ ,292.710
+ ,115.669
+ ,127.832
+ ,102.416
+ ,295.881
+ ,111.311
+ ,128.780
+ ,102.587
+ ,293.299)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('Vlaand'
+ ,'Wallonië'
+ ,'Brussel'
+ ,'België')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('Vlaand','Wallonië','Brussel','België'),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/14bbr1258122578.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 = 4.9493, p-value = 7.449e-07
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.4384181 

> 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/29pu71258122578.tab") 
> 
> system("convert tmp/14bbr1258122578.ps tmp/14bbr1258122578.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.497   0.214   0.555