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Data X:
17.3 15.4 16.9 20.8 16.4 11.3 17.5 16.6 17.5 19.5 18.8 20.2 19.2 14.4 24.5 25.7 27.1 21 18.6 20 21.8 20.4 18 21.5 19.1 19.7 26 26.3 24.6 22.4 32 24 30 24.1 26.3 29.8 21.9 22.8 29.2 27.5 27.4 31 26.1 22.2 34 26.9 31.9 34.2 31.2 28.5 37.1 36 34.8 32.1 37.2 36.3 39.5 37.1 35.6 36.2 35.9 32.5 39.2 39.4 42.8 34.5 43.7 46.3 40.8 48.4 43.2 48.1 42.8
Data Y:
1.3 1.4 1.3 1 0.8 0.7 0.6 0.8 0.9 1 1.2 1.3 1.3 1.4 1.4 1.8 1.9 2 2.4 2.5 2.5 2.3 1.7 1.1 0.7 0.2 0.3 1.1 1.6 2.2 3 3.8 4.6 5.1 5.3 5.5 5.7 5.9 6.1 6.1 6.3 6.5 6.7 6.6 6.5 6.4 6.3 6.3 6.3 6.2 6 5.6 5.3 5.1 4.5 4 3.5 3.5 3.3 3.1 2.9 2.5 2.6 2.8 2.8 2.9 3.1 3.3 3.5 3.4 3.5 3.7 3.8
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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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