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Data X:
115.6 111.3 114.6 137.5 83.7 106.0 123.4 126.5 120.0 141.6 90.5 96.5 113.5 120.1 123.9 144.4 90.8 114.2 138.1 135.0 131.3 144.6 101.7 108.7 135.3 124.3 138.3 158.2 93.5 124.8 154.4 152.8 148.9 170.3 124.8 134.4 154.0 147.9 168.1 175.7 116.7 140.8 164.2 173.8 167.8 166.6 135.1 158.1 151.8 166.7 165.3 187.0 125.2 144.4 181.7 175.9 166.3 181.5 121.8 134.8 162.9
Data Y:
109.7 99.1 86.7 111.4 78.4 76.7 114.2 99.7 94.2 173.5 83.1 88.9 132.0 122.1 105.1 133.7 63.6 112.7 120.5 112.0 126.2 209.2 91.0 116.7 137.6 108.1 136.6 152.3 114.3 120.7 131.8 129.4 187.5 189.5 109.2 158.1 176.2 125.5 155.0 170.3 99.4 139.2 169.6 136.1 168.2 318.6 154.1 161.4 183.4 166.3 203 174.6 124.3 154.4 170.5 169.4 171.1 289.2 145.6 134.4 168.2
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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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