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Data X:
11 9 12 NA NA 12 12 NA NA 11 12 12 15 13 12 11 NA NA 9 NA 11 NA 12 NA NA NA 12 12 14 NA 12 9 13 NA 13 12 NA 12 12 12 NA 12 11 13 13 NA NA 13 10 NA 13 NA NA 5 NA 10 NA 15 13 NA 12 13 13 11 NA NA 12 12 13 14 NA NA NA NA NA 12 12 10 12 12 NA NA 12 13 NA 14 10 12 NA 13 11 NA 12 NA 12 13 12 9 NA 12 NA 14 NA 11 NA NA NA NA NA 12 NA NA NA 12 NA 9 13 NA 10 14 10 12 NA 11 NA 14 13 12 NA NA 10 NA 12 NA 12 NA 15 NA NA 12 12 10 12 12 NA 12 11 13 NA NA NA 13 11 10 9 NA 12 NA NA 13 10 13 NA NA NA NA 12 NA 12
Data Y:
18 19 18 15 19 19 19 NA 18 20 14 15 18 19 16 18 18 NA 17 19 19 17 18 16 20 13 19 15 17 17 16 17 19 18 19 20 16 17 16 16 16 16 14 17 18 16 16 NA 16 15 19 16 17 19 17 17 15 16 16 16 17 18 18 18 19 14 13 18 16 15 18 18 16 19 17 17 19 19 20 19 18 16 16 15 20 16 16 20 20 18 15 14 16 14 18 20 20 18 20 14 20 17 20 14 16 20 19 18 17 17 19 15 18 15 16 16 20 18 20 18 17 19 18 19 17 18 17 16 19 18 17 18 16 20 14 17 13 13 17 18 16 NA 19 NA 17 16 17 17 17 20 14 20 19 16 19 17 19 20 19 19 16 18 16 17 18 16 17 15 18
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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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