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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> y <- c(513,503,471,471,476,475,470,461,455,456,517,525,523,519,509,512,519,517,510,509,501,507,569,580,578,565,547,555,562,561,555,544,537,543,594,611,613,611,594,595,591,589,584,573,567,569,621,629,628,612,595,597,593,590,580,574,573,573,620,626,620,588,566,557,561,549,532,526,511,499,555,565,542)
> x <- c(87,75,74,91,101,103,106,102,105,105,100,95,96,98,99,92,84,81,72,89,96,91,88,90,98,87,100,100,104,107,105,102,98,106,97,101,100,93,94,96,96,98,102,95,85,84,82,87,77,90,90,94,97,96,93,93,93,97,100,95,97,103,102,93,99,100,97,104,102,103,100,90,90)
> ylab = 'Totale werkloosheid'
> xlab = 'Alg economische situatie'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa, (2007), Kendall tau Rank Correlation (v1.0.9) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_kendall.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: uses the Kendall library. The dataset is about O-rings of the Challenger space shuttle - sourcecomes from http://exploringdata.cqu.edu.au/ws_scatr.htm : x = temperature  y = damage index.
> library('Kendall')
> k <- Kendall(x,y)
> postscript(file="/var/www/html/rcomp/tmp/1suct1194894418.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> 
> plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2m2v21194894418.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> 
> plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> load(file='/var/www/html/rcomp/createtable')
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau',header=TRUE)
> a<-table.element(a,k$tau)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'2-sided p-value',header=TRUE)
> a<-table.element(a,k$sl)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Score',header=TRUE)
> a<-table.element(a,k$S)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Var(Score)',header=TRUE)
> a<-table.element(a,k$varS)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Denominator',header=TRUE)
> a<-table.element(a,k$D)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3vube1194894418.tab") 
> 
> system("convert tmp/1suct1194894418.ps tmp/1suct1194894418.png")
> system("convert tmp/2m2v21194894418.ps tmp/2m2v21194894418.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.803   0.355   0.983