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Data X:
9.1 9.27 9.59 10.64 12.17 12.81 12.33 11.92 11.92 12.17 12.33 10.39 10.96 11.44 11.36 11.84 11.2 12.17 11.92 11.92 12.73 12.89 15.47 17 14.91 13.62 12.89 12.33 12.33 11.36 10.96 11.36 10.15 9.35 9.59 9.59 9.67 9.19 9.02 8.94 8.38 8.3 8.14 8.3 8.54 9.02 9.27 9.02 9.02 8.38 8.46 7.9 7.17 7.25 7.33 7.41 7.98 7.65 7.41 7.57 7.41 7.49 7.49 8.14 8.38 8.22 8.46 7.98 8.06 8.06 8.54 9.75 12.17 15.23 15.79 15.39 14.34 13.78 13.21 12.65 11.84 11.84 11.6 11.04 10.64 10.39 10.15 9.67 9.67 9.91 9.91 9.91 9.71 9.51 9.32 9.12 9.22 9.22 8.92 8.82 8.82 8.82 8.72 8.34 8.14 8.14 8.04 8.04 8.04 8.14 8.24 8.34 8.53 8.63 8.53 8.72 9.11 8.92 8.82 9.21 9.21 9.4 9.6 9.69 9.74 10.64 12.82 15.06 17.3 20.04 17.9 16.77 17.07 17.1 17.53 17.7 17.37 17.13 17.13 16.7 15.23 13.66 12.96 13.39 13.73 13.86 14.36 14.09 13.89 14.03 14.73 16.3 17.3 17.6 18 19.54 22.34 24.08 23.85 24.08 25.98 26.55 26.75 26.88 26.78 27.18 28.15 28.92 29.16 29.62 29.92 30.26 30.62 31.03 31.56 32.46 33.4 34.8 36.67 38.84 40.51 41.85 44.45 49.33 53.84 56.94 60.61 65.22 72.57 82.38 90.93 96.5 99.6 103.9 107.6 109.6 113.6 118.3 124 130.7 136.2 140.3 144.5 148.2 152.4 156.9 160.5 163 166.6 172.2 177.1 179.9 184 188.9 195.3 201.6 207.34 215.3 214.54
Data Y:
19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 20.1 21.64 20.95 19.46 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.39 19.94 20.69 20.69 21.64 20.86 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.7 20.67 20.67 20.67 20.67 23.42 30.02 42.03 32.52 29.13 28.57 28.88 27.49 23.75 23.09 23.24 23.52 22.99 23.75 23.05 21.66 20.84 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 20.67 24.44 34.94 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 39.26 41.51 36.41 41.25 58.6 97.81 159.74 161.49 125.32 148.31 193.55 307.5 612.56 459.64 375.91 424 360.66 317.66 368.24 447.95 438.31 382.58 384.93 363.29 344.97 360.91 385.42 385.5 389.09 332.39 295.24 279.91 280.1 272.22 311.33 364.8 410.52 446 606 699 768 950
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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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