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Data X:
12 12 12 12 12 11 12 11 12 11 13 10 11 12 12 11 9 8 9 9 8 6 10 10 11 12 12 11 11 9 11 11 11 9 12 12 10 12 11 10 11 11 10 9 8 9 8 5 6 4 7 4 4 4 0 2 4 6 1 2
Data Y:
31 35 38 36 33 29 37 28 32 31 24 25 27 27 29 33 26 16 15 13 18 8 21 21 25 28 27 24 24 24 28 31 26 28 34 33 24 30 31 28 35 33 34 31 21 21 22 9 15 13 17 19 14 8 3 0 10 12 9 9
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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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