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Data X:
7.7 7.8 7.7 7.7 7.7 7.7 7.6 7.5 7.4 7.4 7.5 7.6 7.6 8.1 7.8 8 7.9 7.9 7.8 6.7 6.6 6.6 7.7 7.9 8 7.7 7.5 7.6 7.8 7.8 7.7 7.4 7.5 7.2 7.5 7.6 7.6 7.8 7.7 7.7 8.2 8.2 8.1 7.8 7.8 7.7 6.7 6.7 6.7 7.2 6.9 6.8 7.2 7.1 6.9 6.9 6.7 6.5 6.6 6.6 6.5

Data Y:
8.5 8.6 8.5 8.5 9 9 8.8 8 7.9 8.1 9.3 9.4 9.4 9.3 9 9.1 9.7 9.7 9.6 8.3 8.2 8.4 10.6 10.9 10.9 9.6 9.3 9.3 9.6 9.5 9.5 9 8.9 9 10.1 10.2 10.2 9.5 9.3 9.3 9.4 9.3 9.1 9 8.9 9 9.8 10 9.8 9.4 9 8.9 9.3 9.1 8.8 8.9 8.7 8.6 9.1 9.3 8.9


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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')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center