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Data X:
59 56 56 67 67 67 67 64 64 56 56 62 62 58 58 59 59 60 60 61 61 59 59 47 47 48 48 49 49 49 49 47 47 46 46 54 54 59 59 44 44 46 46 43
Data Y:
10.4 9.43 10.54 14.81 13.95 14.03 12.74 12.34 14.29 15.63 18.91 19.5 15.93 15.09 14.56 12.97 11.71 11.47 11.41 12.49 14.2 12.95 11.49 10.38 10.51 10.06 8.92 8 7.59 8.65 10.24 10.78 10.38 9.98 8.95 8.26 10.1 14.78 15.96 15.83 13.81 13.06 11.34 10.3
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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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