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Data X:
2 2 2 3 4 3 4 2 NA 4 2 2 5 4 2 3 1 1 3 4 5 5 1 4 2 4 4 3 4 2 2 4 2 4 2 4 3 3 4 2 3 2 4 2 2 3 3 NA 4 5 4 4 4 2 2 1 3 4 3 3 2 3 2 4 3 2 4 5 4 3 2 3 4 4 4 5 4 4 4 3 2 4 4 4 2 2 1 NA 4 4 4 3 4 4 4 2 4 4 1 4 2 3 3 4 3 4 4 4 4 5 5 2 1 3 3 1 4 4 2 4 3 4 4 2 2 4 4 2 2 2 2 5 2 NA 2 4 5 4 4 3 3 1 4 5 4 4 5 4 5 5 3 5 1 3 2 2 NA 4 2 5 4 5 3 2 4 2 3 3 2

Data Y:
3 4 5 4 4 5 5 5 5 5 5 4 4 4 4 5 4 NA 4 5 4 4 4 4 5 5 4 4 5 5 3 5 4 5 4 5 4 4 4 5 4 5 3 5 4 5 5 4 3 NA 5 5 4 3 4 4 4 4 4 4 5 4 4 4 4 4 5 4 4 4 4 4 3 4 4 4 5 4 4 5 5 3 5 4 5 5 5 5 4 4 2 4 5 5 5 4 4 4 5 4 NA 5 4 4 4 5 4 5 4 4 4 3 4 3 5 4 4 5 4 4 4 4 4 4 5 4 4 5 4 4 3 4 4 4 3 4 5 3 4 5 5 4 4 4 3 5 4 5 4 4 3 4 4 4 3 4 5 3 4 5 4 5 4 4 4 4 4 3 4


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R Code
k <- cor.test(x,y,method='spearman') bitmap(file='test1.png') plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab) grid() dev.off() bitmap(file='test2.png') 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,'Spearman Rank Correlation',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'rho',header=TRUE) a<-table.element(a,k$estimate) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'2-sided p-value',header=TRUE) a<-table.element(a,k$p.value) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'S',header=TRUE) a<-table.element(a,k$statistic) 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