R version 3.3.2 (2016-10-31) -- "Sincere Pumpkin Patch"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> y <- c(218.8,1317.1,292.2,330.3,491.7,270.7,728.3,499.8,972.3,189,249.7,711.3,307.1,670.1,496.5,349.7,360.8,433.4,286.7,754,632.2,998.9,488.8,529.9,288.4,241.6,425.8,573.7,409.2,441.5,715.6,404.7,262,172.8,503.1,443,336.1,588.1,478,858.1,265.7,463.2,388.9,289.3,327.8,877.6,280,487.7,433.4,388.9,532.6)
> x <- c(49.00,26.70,34.40,44.00,28.10,32.90,20.80,28.00,6.00,35.00,43.00,35.00,52.00,35.00,44.00,32.00,44.10,38.80,27.70,27.10,25.70,10.90,37.00,39.00,46.00,44.00,51.00,48.30,34.60,30.10,19.70,31.20,23.90,31.40,47.00,42.00,43.60,29.90,36.70,10.90,44.00,46.20,47.00,41.00,59.00,31.00,42.00,37.00,28.90,41.00,66.70)
> ylab = 'Welfare per person'
> xlab = 'Percent registered Republican'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_kendall.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> library('Kendall')
> k <- Kendall(x,y)
> postscript(file="/var/wessaorg/rcomp/tmp/1rstk1488906337.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=8.3333333333333) 
> 
> plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2580e1488906337.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=8.3333333333333) 
> 
> plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab)
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau',header=TRUE)
> a<-table.element(a,k$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/3i0kp1488906337.tab") 
> 
> try(system("convert tmp/1rstk1488906337.ps tmp/1rstk1488906337.png",intern=TRUE))
character(0)
> try(system("convert tmp/2580e1488906337.ps tmp/2580e1488906337.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.008   0.056   1.082