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Data X:
65.61 59.29 56.25 57.76 60.84 60.84 60.84 56.25 56.25 50.41 56.25 56.25 57.76 59.29 59.29 62.41 65.61 67.24 67.24 67.24 62.41 53.29 47.61 43.56 44.89 47.61 49.0 50.41 51.84 50.41 47.61 49.0 46.24 40.96 44.89 43.56 40.96 39.69 38.44 42.25 46.24 46.24 40.96 37.21 33.64 37.21 51.84 53.29 47.61 37.21 33.64 38.44 50.41 59.29 62.41 59.29 54.76 56.25 64.0 65.61
Data Y:
118.81 100.0 84.64 84.64 90.25 92.16 90.25 82.81 79.21 81.0 102.01 106.09 104.04 92.16 84.64 86.49 88.36 88.36 84.64 81.0 81.0 81.0 96.04 100.0 96.04 86.49 81.0 81.0 82.81 82.81 82.81 84.64 77.44 68.89 70.56 65.61 59.29 62.41 62.41 64.0 62.41 57.76 50.41 46.24 42.25 47.61 67.24 75.69 68.89 62.41 56.25 60.84 68.89 70.56 67.24 59.29 51.84 53.29 65.61 72.25
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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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