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Data X:
9 8 10 8 9 10 9 9 9 9 10 9 13 11 10 8 11 6 7 9 9 10 9 10 8 10 10 11 10 9 7 11 6 11 10 9 10 10 9 8 9 9 10 11 7.5 9 10 8 3 10 10 10 4 10 8 9 13 10 8 9 11 10 9 10 7 10 10 11 12 8 10 6 9 11 10 10 8 10 9 9 10 10 11 9 12 7 9 9 11 8 9 9 9 9 11 9 7 15 9 9 12 10 9 10 10 9 10 10 9 9 9 9 11 9 7 11 9 7 12 8 9 9 9 9 11 9 10 10 9 8 10 9 8 10 9 13 8 11 9 8 9 10 10 10 9 11 7 9 10 11 8 8 7 9 9 10 9 11 8 11 9 9 9 7 10 9 9
Data Y:
18 19 18 15 19 19 19 16 18 20 14 15 18 19 16 18 18 17 19 19 17 18 16 20 13 19 15 17 17 16 17 19 18 19 20 16 17 16 16 16 16 14 17 18 16 16 13 16 15 19 16 17 19 17 17 15 16 16 16 17 18 18 18 19 14 13 18 16 15 18 18 16 19 17 17 19 19 20 19 18 16 16 15 20 16 16 20 20 18 15 14 16 14 18 20 20 18 20 14 20 17 20 14 16 20 19 18 17 17 19 15 18 15 16 16 20 18 20 18 17 19 18 19 17 18 17 16 19 18 17 18 16 20 14 17 13 17 18 16 17 19 19 17 16 17 17 17 20 14 20 19 16 19 17 19 20 19 19 16 18 16 17 18 16 17 15 18
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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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