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Data X:
101 100.3 100.1 99.8 99.9 99.9 100.2 99.7 100.4 100.9 101.3 101.4 101.3 100.9 100.9 100.9 101.1 101.1 101.3 101.8 102.9 103.2 103.3 104.5 105 104.9 104.9 105.4 106 105.7 105.9 106.2 106.4 106.9 107.3 107.9 109.2 110.2 110.2 110.5 110.6 110.8 111.3 111.1 111.2 111.2 111.1 111.5 112.1 111.4 110.4 110 110.4 110 110 109.3 109.7 109.6 109.6 109.4
Data Y:
101 101 98.7 96.4 95.6 95.4 98.7 98.7 98.7 99.3 99.5 99.6 100.8 100.8 100.8 101 101.6 102.3 102.3 102.3 102.3 102.4 102.4 102.4 102.4 102.4 102.4 102.4 101.6 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.2 102.1 102.1 102.1 102.1 100.7 100.7 100.7 100.7 100.7 100.7 100.7 100.7
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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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