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Data X:
7.4 7.9 8.2 7.4 6.6 6.5 6.6 6.5 5.8 5.9 5.9 5.9 5.7 5.4 5.3 5.2 5.2 5.2 5.4 4.9 4.9 4.9 3.8 3.5 2.7 2.8 2.8 2.9 3.1 1.2 1.3 1.6 2.4
Data Y:
63.7 63.8 63.9 64.0 64.0 64.4 64.8 65.2 65.6 65.9 66.4 66.5 66.2 66.4 66.3 66.6 66.6 66.8 67.1 67.1 67.1 67.1 66.8 66.6 66.2 66.0 66.0 66.2 66.0 66.0 65.4 64.7 64.1
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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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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