R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> y <- c(56.62,55.48,56.09,57.32,57.28,57.18,55.48,56.63,57.5,57.07,55.43,56.04,56.1,55.37,55.51,55.35,55.67,56.17,56.93,57.26,57.51,57.97,57.39,56.59,56.98,57.83,57.83,56.05,56.83,57.86,59.33,59.94,59.21,59.03,57.78,57.87,59.53,60.12,60.69,61.53,62.28,62.94,62.8,61.65,61.47,61.71,62.53,62.88,63.18,63.78,64.08,64.27,64.41,63.67,62.73,62.27,62.35,62.68,63.12,62.98,62.18,59.34,58.48,58.38,58.57,58.58,59)
> x <- c(86.45,82.13,82.13,91,91,92,92,91,91,91,91,91,91,91,91,91,91,77,70,70,70,75.25,77,71.75,70,70,70,70,70,70,70,70,70,70,69.13,50,50,50,50,50,38.5,28,28,28,31,31,39.6,39.6,39.6,39.6,39.6,39.6,39.6,39.6,39.1,38.6,35,35,35,35,35,35,35,35,35,39.5,39.5)
> ylab = 'Employment rate'
> xlab = 'Tax Rate'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa, (2012), Kendall tau Rank Correlation (v1.0.11) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_kendall.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> library('Kendall')
> k <- Kendall(x,y)
> postscript(file="/var/wessaorg/rcomp/tmp/1ztk51423757349.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=8.3333333333333) 
> 
> plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2w3ww1423757349.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=8.3333333333333) 
> 
> plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau',header=TRUE)
> a<-table.element(a,k$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/wessaorg/rcomp/tmp/3y0by1423757349.tab") 
> 
> try(system("convert tmp/1ztk51423757349.ps tmp/1ztk51423757349.png",intern=TRUE))
character(0)
> try(system("convert tmp/2w3ww1423757349.ps tmp/2w3ww1423757349.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.106   0.138   1.250