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Data X:
16.4 17.8 22.3 22.8 18.3 22.4 23.9 21.3 23.0 21.4 21.2 20.9 17.9 20.7 22.2 19.8 17.7 19.6 20.8 19.8 18.6 21. 18.6 18.9 17.3 20.0 19.9 19.5 16.2 17.6 19.8 19.4 17.2 21.1 17.8 17.5 18.0 19.1 17.7 19.2 15.1 16.3 18.6 17.2 17.8 19.1 16.6 16.0 16.7 17.4 17.9 17.8 13.9 15.9 17.9 15.4 16.4 17.9 15.3 14.6 14.9 15.0 16.7 16.3 11.7 15.1 15.5 15.0 15.4 16.0 14.7 14.8
Data Y:
18.0 19.6 23.3 23.7 20.3 22.8 24.3 21.5 23.5 22.2 20.9 22.2 19.5 21.1 22.0 19.2 17.8 19.2 19.9 19.6 18.1 20.4 18.1 18.6 17.6 19.4 19.3 18.6 16.9 16.4 19.0 18.7 17.1 21.5 17.8 18.1 19.0 18.9 16.8 18.1 15.7 15.1 18.3 16.5 16.9 18.4 16.4 15.7 16.9 16.6 16.7 16.6 14.4 14.5 17.5 14.3 15.4 17.2 14.6 14.2 14.9 14.1 15.6 14.6 11.9 13.5 14.2 13.7 14.4 15.3 14.3 14.5
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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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