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Data X:
103.8 100.8 110.6 104.0 112.6 107.3 98.9 109.8 104.9 102.2 123.9 124.9 112.7 121.9 100.6 104.3 120.4 107.5 102.9 125.6 107.5 108.8 128.4 121.1 119.5 128.7 108.7 105.5 119.8 111.3 110.6 120.1 97.5 107.7 127.3 117.2 119.8 116.2 111.0 112.4 130.6 109.1 118.8 123.9 101.6 112.8 128.0 129.6 125.8 119.5 115.7 113.6 129.7 112.0 116.8 127.0 112.1 113.3 120.5 127.7
Data Y:
93.9 89.8 93.4 101.5 110.4 105.9 108.4 113.9 86.1 69.4 101.2 100.5 98.0 106.6 90.1 96.9 125.9 112.0 100.0 123.9 79.8 83.4 113.6 112.9 104.0 109.9 99.0 106.3 128.9 111.1 102.9 130.0 87.0 87.5 117.6 103.4 110.8 112.6 102.5 112.4 135.6 105.1 127.7 137.0 91.0 90.5 122.4 123.3 124.3 120.0 118.1 119.0 142.7 123.6 129.6 151.6 110.4 99.3 129.1 134.1
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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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