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Data X:
100.00 105.26 106.58 101.32 98.68 100.00 102.63 102.63 102.63 98.68 98.68 93.42 98.68 98.68 100.00 101.32 101.32 103.95 106.58 107.89 107.89 107.89 103.95 96.05 90.79 86.84 88.16 90.79 92.11 93.42 94.74 93.42 90.79 92.11 89.47 84.21 88.16 86.84 84.21 82.89 81.58 85.53 89.47 89.47 84.21 80.26 76.32 80.26 94.74 96.05 90.79 80.26 76.32 81.58 93.42 101.32 103.95 101.32 97.37 98.68
Data Y:
100.00 106.73 104.81 96.15 88.46 88.46 91.35 92.31 91.35 87.50 85.58 86.54 97.12 99.04 98.08 92.31 88.46 89.42 90.38 90.38 88.46 86.54 86.54 86.54 94.23 96.15 94.23 89.42 86.54 86.54 87.50 87.50 87.50 88.46 84.62 79.81 80.77 77.88 74.04 75.96 75.96 76.92 75.96 73.08 68.27 65.38 62.50 66.35 78.85 83.65 79.81 75.96 72.12 75.00 79.81 80.77 78.85 74.04 69.23 70.19
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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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