R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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> y <- c(3.75,6.05,5.21,3.28,3.03,2.93,5.59,4.37,4.13,4.3,6.84,5.45,5.54,6.69,5.57,5.64,5.16,4.51,3.79,3.84,3.56,3.49,4.98,5.95,5.6,4.86,5.64,8.48,7.7,7.05,6.07,5.85,7.18,7.62,9.71,9.6,7.51,7.19,7,6.18,5.49,5.26,5.62,6.85,7.49,6.91,6.1,5.59,5.41,4.94,4.5,4.22,3.97,4.74,5.78,5.99,5.54,5.08,4.61,4.62,5.8,9.28,9.61,8.94,8.07,7.37,6.15,5.6)
> x <- c(57,39,39,46,46,51,51,47,47,46,46,35,35,40,40,40,40,32,32,43,43,44,44,41,41,44,44,33,33,33,33,36,36,44,44,38,38,42,42,41,41,40,40,38,38,40,40,53,53,52,52,51,51,51,51,53,53,53,53,46,46,41,41,56,56,54,54,57)
> ylab = 'Unemployment rate'
> xlab = 'House Republicans'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_kendall.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> library('Kendall')
> k <- Kendall(x,y)
> postscript(file="/var/wessaorg/rcomp/tmp/14v4v1426508622.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=8.3333333333333) 
> 
> plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2jae71426508622.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=8.3333333333333) 
> 
> plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau',header=TRUE)
> a<-table.element(a,k$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/3ijo11426508622.tab") 
> 
> try(system("convert tmp/14v4v1426508622.ps tmp/14v4v1426508622.png",intern=TRUE))
character(0)
> try(system("convert tmp/2jae71426508622.ps tmp/2jae71426508622.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.962   0.155   1.121