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Data X:
8.9 8.2 7.6 7.7 8.1 8.3 8.3 7.9 7.8 8 8.5 8.6 8.5 8 7.8 8 8.2 8.3 8.2 8.1 8 7.8 7.8 7.7 7.6 7.6 7.6 7.8 8 8 7.9 7.7 7.4 6.9 6.7 6.5 6.4 6.7 6.8 6.9 6.9 6.7 6.4 6.2 5.9 6.1 6.7 6.8 6.6 6.4 6.4 6.7 7.1 7.1 6.9 6.4 6 6
Data Y:
6.3 6.2 6.1 6.3 6.5 6.6 6.5 6.2 6.2 5.9 6.1 6.1 6.1 6.1 6.1 6.4 6.7 6.9 7 7 6.8 6.4 5.9 5.5 5.5 5.6 5.8 5.9 6.1 6.1 6 6 5.9 5.5 5.6 5.4 5.2 5.2 5.2 5.5 5.8 5.8 5.5 5.3 5.1 5.2 5.8 5.8 5.5 5 4.9 5.3 6.1 6.5 6.8 6.6 6.4 6.4
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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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