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Data X:
100.8 100.8 100.8 90.1 95.7 88.6 93.3 93.3 93.3 93.3 93.3 93.3 88.6 97.4 97.4 102.9 102.9 102.9 105.1 105.1 105.1 105.1 105.1 105.1 96.9 96.9 96.9 96.9 96.9 96.9 96.5 96.5 96.5 96 96 96 96 96 96 105.8 105.8 105.8 105.8 105.8 105.8 105.8 105.8 105.8 123.6 142.2 142.2 141.2 141.2 141.2 124.7 124.7 124.7 122.7 122.7 122.7 123.3 123.3 123.3 127.2 127.2 127.2 140 140 140 140 140 140 139 139 139 147 147 147 147.1 147.1
Data Y:
99.2 95.8 93.8 94.4 94.8 96.9 93.1 92.2 90.8 92.4 91.2 89.8 85.8 88.2 89.9 91.8 93.4 93.8 95 97.3 95.3 97.9 97 97 65.2 64.1 65.6 66.5 65.6 66.1 65.9 65.8 64.1 63.5 64.4 66 67.7 70.4 74.1 75.5 80.8 83.9 83.6 88.7 87 86.9 88.6 88.6 86.9 86.1 86.6 83.9 84.2 83.2 78.4 77.6 77.1 76.8 76.8 76.8 76.8 78.7 78.7 78.7 78.7 78.7 83.7 83.7 87.9 87.9 84.5 84.5 84.4 87.5 89.2 88.9 88.8 89.5 90.4 87.9
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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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