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Data X:
12 8 11 13 11 10 7 10 15 12 12 10 10 14 6 12 14 11 8 12 15 13 11 12 7 11 7 12 12 13 9 11 12 15 12 6 5 13 11 6 12 10 6 12 11 6 12 12 8 10 11 7 12 13 14 12 6 14 10 12 11 10 7 12 7 12 12 10 10 12 12 12 8 10 5 10 12 11 9 12 11 10 12 10 9 11 12 7 11 12 6 9 15 10 11 12 12 12 11 9 11 12 12 14 8 10 9 10 9 10 12 11 9 11 12 12 7 12 12 12 10 15 10 15 10 15 9 15 12 13 12 12 8 9 15 12 12 15 11 12 6 14 12 12 12 11 12 12 12 12 8 8 12 12 11 10 11 12 13 12 12 10 10 11 8 12 9 12 9 11 15 8 8 11 11 11 13 7 12 8 8 4 11 10 7 12 11 9 10 8 8 11 12 10 10 12 8 11 8 10 14 9 9 10 13 12 13 8 3 8 12 11 9 12 12 12 10 13 9 12 11 14 11 9 12 8 15 12 14 12 9 9 13 13 15 11 7 10 11 14 14 13 12 8 13 9 12 13 11 11 13 12 12 10 9 10 13 13 9 11 12 8 12 12 12 9 12 12 11 12 6 7 10 12 10 12 9 3
Data Y:
12.9 12.2 12.8 7.4 6.7 12.6 14.8 13.3 11.1 8.2 11.4 6.4 10.6 12 6.3 11.3 11.9 9.3 9.6 10 6.4 13.8 10.8 13.8 11.7 10.9 16.1 13.4 9.9 11.5 8.3 11.7 9 9.7 10.8 10.3 10.4 12.7 9.3 11.8 5.9 11.4 13 10.8 12.3 11.3 11.8 7.9 12.7 12.3 11.6 6.7 10.9 12.1 13.3 10.1 5.7 14.3 8 13.3 9.3 12.5 7.6 15.9 9.2 9.1 11.1 13 14.5 12.2 12.3 11.4 8.8 14.6 12.6 13 12.6 13.2 9.9 7.7 10.5 13.4 10.9 4.3 10.3 11.8 11.2 11.4 8.6 13.2 12.6 5.6 9.9 8.8 7.7 9 7.3 11.4 13.6 7.9 10.7 10.3 8.3 9.6 14.2 8.5 13.5 4.9 6.4 9.6 11.6 11.1 4.35 12.7 18.1 17.85 16.6 12.6 17.1 19.1 16.1 13.35 18.4 14.7 10.6 12.6 16.2 13.6 18.9 14.1 14.5 16.15 14.75 14.8 12.45 12.65 17.35 8.6 18.4 16.1 11.6 17.75 15.25 17.65 16.35 17.65 13.6 14.35 14.75 18.25 9.9 16 18.25 16.85 14.6 13.85 18.95 15.6 14.85 11.75 18.45 15.9 17.1 16.1 19.9 10.95 18.45 15.1 15 11.35 15.95 18.1 14.6 15.4 15.4 17.6 13.35 19.1 15.35 7.6 13.4 13.9 19.1 15.25 12.9 16.1 17.35 13.15 12.15 12.6 10.35 15.4 9.6 18.2 13.6 14.85 14.75 14.1 14.9 16.25 19.25 13.6 13.6 15.65 12.75 14.6 9.85 12.65 19.2 16.6 11.2 15.25 11.9 13.2 16.35 12.4 15.85 18.15 11.15 15.65 17.75 7.65 12.35 15.6 19.3 15.2 17.1 15.6 18.4 19.05 18.55 19.1 13.1 12.85 9.5 4.5 11.85 13.6 11.7 12.4 13.35 11.4 14.9 19.9 11.2 14.6 17.6 14.05 16.1 13.35 11.85 11.95 14.75 15.15 13.2 16.85 7.85 7.7 12.6 7.85 10.95 12.35 9.95 14.9 16.65 13.4 13.95 15.7 16.85 10.95 15.35 12.2 15.1 17.75 15.2 14.6 16.65 8.1
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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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