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