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Data X:
5.55 5.89 9.98 13.86 10.44 8.63 14.31 11.75 6.4 10.74 10.22 13.42 8.66 10.15 8.65 11 10.6 12.67 6.9 6.3 10.83 13.6 7.49 11.25 8.48 8.87 8.49 10.76 8.76 8.78 9.26 10.1 10.74 11.78 7.75 13.89 9.56 10.74 8.72 10.2 8.65 15.7 9.33
Data Y:
15.29 10.35 8.65 9.71 10.15 8.85 9.51 9.64 11.32 8.83 10.54 10.37 12.9 10.37 12.43 8.2 9.34 9.7 13.36 16.37 8.01 9.9 9.69 9.21 11.7 11.92 10.38 11.16 11.09 10.3 10.9 10.04 10.12 9.58 9.18 9.2 10.55 8.92 10.91 10.14 9.56 9.62 12.34
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R Code
library('Kendall') k <- Kendall(x,y) bitmap(file='test1.png') par(bg=rgb(0.2,0.4,0.6)) plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='test2.png') par(bg=rgb(0.2,0.4,0.6)) plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab) grid() dev.off() load(file='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='mytable.tab')
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Big Analytics Cloud Computing Center
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