R version 2.8.0 (2008-10-20)
Copyright (C) 2008 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(67.8
+ ,621
+ ,66.9
+ ,604
+ ,71.5
+ ,584
+ ,75.9
+ ,574
+ ,71.9
+ ,555
+ ,70.7
+ ,545
+ ,73.5
+ ,599
+ ,76.1
+ ,620
+ ,82.5
+ ,608
+ ,87.1
+ ,590
+ ,83.2
+ ,579
+ ,86.1
+ ,580
+ ,85.9
+ ,579
+ ,77.4
+ ,572
+ ,74.4
+ ,560
+ ,69.9
+ ,551
+ ,73.8
+ ,537
+ ,69.2
+ ,541
+ ,69.7
+ ,588
+ ,71
+ ,607
+ ,71.2
+ ,599
+ ,75.8
+ ,578
+ ,73
+ ,563
+ ,66.4
+ ,566
+ ,58.6
+ ,561
+ ,55.5
+ ,554
+ ,52.6
+ ,540
+ ,54.9
+ ,526
+ ,54.6
+ ,512
+ ,51.2
+ ,505
+ ,50.9
+ ,554
+ ,49.6
+ ,584
+ ,53.4
+ ,569
+ ,52
+ ,540
+ ,47.5
+ ,522
+ ,42.1
+ ,526
+ ,44.5
+ ,527
+ ,43.2
+ ,516
+ ,51.4
+ ,503
+ ,59.4
+ ,489
+ ,60.3
+ ,479
+ ,61.4
+ ,475
+ ,68.8
+ ,524
+ ,73.6
+ ,552
+ ,81.8
+ ,532
+ ,79.6
+ ,511
+ ,85.8
+ ,492
+ ,88.1
+ ,492
+ ,89.1
+ ,493
+ ,95
+ ,481
+ ,96.2
+ ,462
+ ,84.2
+ ,457
+ ,96.9
+ ,442
+ ,103.1
+ ,439
+ ,99.3
+ ,488
+ ,103.5
+ ,521
+ ,112.4
+ ,501
+ ,111.1
+ ,485
+ ,113.7
+ ,464
+ ,92
+ ,460
+ ,93
+ ,467
+ ,98.4
+ ,460
+ ,92.6
+ ,448
+ ,94.6
+ ,443
+ ,99.5
+ ,436
+ ,97.6
+ ,431
+ ,91.3
+ ,484
+ ,93.6
+ ,510
+ ,93.1
+ ,513
+ ,78.4
+ ,503
+ ,70.2
+ ,471
+ ,69.3
+ ,471
+ ,71.1
+ ,476
+ ,73.5
+ ,475
+ ,85.9
+ ,470
+ ,91.5
+ ,461
+ ,91.8
+ ,455
+ ,88.3
+ ,456
+ ,91.3
+ ,517
+ ,94
+ ,525
+ ,99.3
+ ,523
+ ,96.7
+ ,519
+ ,88
+ ,509
+ ,96.7
+ ,512
+ ,106.8
+ ,519
+ ,114.3
+ ,517
+ ,105.7
+ ,510
+ ,90.1
+ ,509
+ ,91.6
+ ,501
+ ,97.7
+ ,507
+ ,100.8
+ ,569
+ ,104.6
+ ,580
+ ,95.9
+ ,578
+ ,102.7
+ ,565
+ ,104
+ ,547
+ ,107.9
+ ,555
+ ,113.8
+ ,562
+ ,113.8
+ ,561
+ ,123.1
+ ,555
+ ,125.1
+ ,544
+ ,137.6
+ ,537
+ ,134
+ ,543
+ ,140.3
+ ,594
+ ,152.1
+ ,611
+ ,150.6
+ ,613
+ ,167.3
+ ,611
+ ,153.2
+ ,594
+ ,142
+ ,595
+ ,154.4
+ ,591
+ ,158.5
+ ,589
+ ,180.9
+ ,584
+ ,181.3
+ ,573
+ ,172.4
+ ,567
+ ,192
+ ,569
+ ,199.3
+ ,621
+ ,215.4
+ ,629
+ ,214.3
+ ,628
+ ,201.5
+ ,612
+ ,190.5
+ ,595
+ ,196
+ ,597
+ ,215.7
+ ,593
+ ,209.4
+ ,590
+ ,214.1
+ ,580
+ ,237.8
+ ,574
+ ,239
+ ,573
+ ,237.8
+ ,573
+ ,251.5
+ ,620
+ ,248.8
+ ,626
+ ,215.4
+ ,620
+ ,201.2
+ ,588
+ ,203.1
+ ,566
+ ,214.2
+ ,557
+ ,188.9
+ ,561
+ ,203
+ ,549
+ ,213.3
+ ,532
+ ,228.5
+ ,526
+ ,228.2
+ ,511
+ ,240.9
+ ,499
+ ,258.8
+ ,555
+ ,248.5
+ ,565
+ ,269.2
+ ,542
+ ,289.6
+ ,527
+ ,323.4
+ ,510
+ ,317.2
+ ,514
+ ,322.8
+ ,517
+ ,340.9
+ ,508
+ ,368.2
+ ,493
+ ,388.5
+ ,490
+ ,441.2
+ ,469
+ ,474.3
+ ,478
+ ,483.9
+ ,528
+ ,417.9
+ ,534
+ ,365.9
+ ,518
+ ,263
+ ,506
+ ,199.4
+ ,502)
+ ,dim=c(2
+ ,155)
+ ,dimnames=list(c('Prijsindexcijfers'
+ ,'Werkloosheid')
+ ,1:155))
>  y <- array(NA,dim=c(2,155),dimnames=list(c('Prijsindexcijfers','Werkloosheid'),1:155))
>  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/freestat/rcomp/tmp/19d9j1229869741.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/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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] 2
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 1.47, p-value = 0.1416
alternative hypothesis: true tau is not equal to 0 
sample estimates:
       tau 
0.07982878 

> 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/freestat/rcomp/tmp/23ugw1229869741.tab") 
> 
> system("convert tmp/19d9j1229869741.ps tmp/19d9j1229869741.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.629   0.248   0.743