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Data X:
15 13 14 17 16 12 12 13 16 15 12 15 13 14 15 16 16 16 13 13 13 14 17 14 15 14 15 19 14 13 14 15 11 12 10 14 14 15 13 15 16 12 17 15 12 16 14 11 12 14 12 12 13 12 15 13 11 12 11 12 14 15 8 13 14 13 14 14 17 13 12 13 17 14 16 14 14 14 14 13 16 13 14 8 13 14 13 14 12 16 15 18 15 14 15 11 15 15 15 16
Data Y:
13 16 17 16 17 17 15 16 14 16 17 16 16 16 15 16 16 13 15 17 13 17 14 14 18 17 13 16 15 15 13 17 11 14 13 17 16 17 16 16 16 15 12 17 14 16 15 16 14 15 17 10 17 20 17 18 17 14 17 17 16 18 18 16 15 13 16 12 16 16 16 14 15 14 15 15 16 11 18 11 18 15 19 17 14 13 17 14 19 14 16 16 15 12 17 18 15 15 16 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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Computing time
1 seconds
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Big Analytics Cloud Computing Center
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