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Data X:
78.5 54.4 74.1 0 18.2 37.7 53.5 49.4 31.7 27 67.7 92.1 52.5 52.6 33.9 20 8.1 9.1 42.9 34.5 38.8 2.8 28.6 54.7 28.6
Data Y:
81.3 81.1 74.7 77.5 81.8 78.7 80.8 78 81.6 82.4 80.7 81.1 75.7 81.5 82.7 74.6 81.6 77.5 81.3 75 76.7 80.9 83 82.2 81
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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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