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Data X:
115.6 111.9 107 107.1 100.6 99.2 108.4 103 99.8 115 90.8 95.9 114.4 108.2 112.6 109.1 105 105 118.5 103.7 112.5 116.6 96.6 101.9 116.5 119.3 115.4 108.5 111.5 108.8 121.8 109.6 112.2 119.6 104.1 105.3 115 124.1 116.8 107.5 115.6 116.2 116.3 119 111.9 118.6 106.9 103.2 118.6 118.7 102.8 100.6 94.9 94.5 102.9 95.3 92.5 102.7 91.5 89.5
Data Y:
37.2 37.2 34.7 32.5 33.5 31.5 31.2 27 26.7 26.5 26 27.2 30.5 33.7 34.2 36.7 36.2 38.5 40 42.5 43.5 43.3 45.5 44.3 43 43.5 41.5 42.5 41.3 39.5 38.5 41 44.5 46 44 41.5 41.3 38 38 36.2 38.7 38.7 39.2 35.7 36.5 36.7 34.7 35 28.2 23.7 15 8.7 11 7.5 5.7 9.3 10.2 15.7 18.1 20.8
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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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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