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Data X:
8 9 10 10 9 9 9 9 8 10 9 10 9 8 9 8 9 9 9 9 9 8 9 10 9 9 9 9 9 9 8 9 9 8 8 9 7 9 8 8 9 9 7 8 9 9 7 9 9 9 8 6 9 7 9 8 6 10 9 8 9 9 10 8 8 9 9 9 8 10 8 7 7 7 9 8 9 6 9 10 9 6 8 8 8 10 9 9 10 8 9 7 0 0
Data Y:
11 14 15 15 14 13 13 13 12 15 14 15 14 11 14 12 14 13 13 13 14 12 14 15 13 14 14 13 14 14 11 13 13 12 12 13 11 13 12 12 13 13 10 12 14 14 10 14 14 13 12 8 14 12 13 12 10 15 13 12 13 14 15 12 12 13 13 14 12 15 12 10 10 10 14 12 13 9 14 15 13 9 12 12 12 15 13 14 15 12 13 10 0 0
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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')
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Big Analytics Cloud Computing Center
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