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Data X:
90.21 93.24 95.60 97.58 100.81 101.65 102.08 100.18 101.36 103.46 106.59 107.24 107.84 110.08 114.34 120.00 124.78 128.21 127.48 124.39 116.83 121.13 126.39 129.92 135.43 137.43 140.42 145.42 147.35 142.58 150.25 153.71 151.23 149.32 137.53 140.60 145.14 134.34 134.72 125.81 121.77 120.24 126.24 124.39 114.68 99.24 99.71 96.94 71.92 65.92 60.96 62.35 59.26 54.65 61.01 67.15 66.42 67.77 75.05 79.95
Data Y:
95.40 99.31 101.80 100.53 102.28 101.89 98.08 98.98 100.02 100.58 100.67 100.46 98.47 102.01 103.28 103.70 104.64 106.31 107.16 108.10 104.90 105.27 107.37 110.01 114.11 116.22 118.06 119.35 120.48 117.02 121.66 127.88 128.58 130.42 126.28 129.31 132.59 125.91 127.88 119.59 118.46 116.31 120.72 122.21 115.00 107.99 109.98 106.01 87.58 82.17 81.99 80.08 73.35 69.01 76.23 80.10 81.96 82.79 89.42 91.90
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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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