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Data X:
46 50 49 48 50 47 50 49 51 52 48 55 56 43 44 50 49 47 46 50 49 53 54 56 56 58 53 51 52 53 56 54 54 56 59 62 62 73 76 80 77 81 80 80 81 80 77 71 71 64 64 47 41 35 34 33 23 16 16 8 9
Data Y:
60 57 56 56 59 57 62 62 59 57 63 61 59 58 58 58 55 55 56 60 56 59 59 63 60 58 57 58 55 57 56 53 61 65 66 65 68 78 79 80 84 84 86 86 81 80 79 76 78 69 70 59 55 47 48 47 45 36 44 33 34
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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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