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Data X:
16 16 16 16 14 15 16 13 10 17 15 18 16 20 17 16 15 13 16 16 16 17 20 14 17 16 15 16 NA 16 14 16 NA 16 16 14 14 16 16 15 18 15 14 18 15 15 16 11 7 15 14 16 14 11 18 18 15 13 13 NA 18 15 16 12 16 16 19 15 14 14 16 20 16 13 15 16 NA 19 13 14 15 15 14 12 15 16
Data Y:
9 11 12 12 12 12 10 15 10 15 10 15 9 15 13 12 12 8 9 15 12 12 15 11 12 14 12 12 NA 12 11 12 NA 12 12 12 8 8 12 12 11 12 10 11 11 11 13 7 8 11 8 14 9 13 13 11 9 12 12 NA 13 11 11 9 12 15 14 12 9 9 13 15 11 10 11 14 NA 12 13 11 11 13 12 9 13 12
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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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