R version 2.5.1 (2007-06-27)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(99.90,99.80,99.80,100.30,99.90,99.90,100.00,100.10,100.10,100.20,100.30,100.60,100.00,100.10,100.20,100.00,100.10,100.10,100.10,100.50,100.50,100.50,96.30,96.30,96.80,96.80,96.90,96.80,96.80,96.80,96.80,97.00,97.00,97.00,96.80,96.90,97.20,97.30,97.30,97.20,97.30,97.30,97.30,97.30,97.30,97.30,98.10,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.90,97.10,97.10)
> x <- c(109.20,88.60,94.30,98.30,86.40,80.60,104.10,108.20,93.40,71.90,94.10,94.90,96.40,91.10,84.40,86.40,88.00,75.10,109.70,103.00,82.10,68.00,96.40,94.30,90.00,88.00,76.10,82.50,81.40,66.50,97.20,94.10,80.70,70.50,87.80,89.50,99.60,84.20,75.10,92.00,80.80,73.10,99.80,90.00,83.10,72.40,78.80,87.30,91.00,80.10,73.60,86.40,74.50,71.20,92.40,81.50,85.30,69.90,84.20,90.70,100.30)
> ylab = 'Y'
> xlab = 'X'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_kendall.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: uses the Kendall library. The dataset is about O-rings of the Challenger space shuttle - sourcecomes from http://exploringdata.cqu.edu.au/ws_scatr.htm : x = temperature  y = damage index.
> library('Kendall')
> k <- Kendall(x,y)
> postscript(file="/var/www/html/rcomp/tmp/1irz71192703952.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> 
> plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/23era1192703952.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> 
> plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> load(file='/var/www/html/rcomp/createtable')
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau',header=TRUE)
> a<-table.element(a,k$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/3l7pp1192703952.tab") 
> 
> system("convert tmp/1irz71192703952.ps tmp/1irz71192703952.png")
> system("convert tmp/23era1192703952.ps tmp/23era1192703952.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.845   0.331   0.943