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Data X:
21 22 22 18 23 12 20 22 21 19 22 15 20 19 18 15 20 21 21 15 16 23 21 18 25 9 30 20 23 16 16 19 25 18 23 21 10 14 22 26 23 23 24 24 18 23 15 19 16 25 23 17 19 21 18 27 21 13 8 29 28 23 21 19 19 20 18 19 17 19 25 19 22 23 14 16 24 20 12 24 22 12 22 20 10 23 17 22 24 18 21 20 20 22 19 20 26 23 24 21 21 19 8 17 20 11 8 15 18 18 19 19 23 22 21 25 30 17 27 23 23 18 18 23 19 15 20 16 24 25 25 19 19 16 19 19 23 21 22 19 20 20 3 23 23 20 15 16 7 24 17 24 24 19 25 20 28 23 27 18 28 21 19 23 27 22 28 25 21 22 28 20 29 25 25 20 20 16 20 20 23 18 25 18 19 25 25 25 24 19 26 10 17 13 17 30 25 4 16 21 23 22 17 20 20 22 16 23 0 18 25 23 12 18 24 11 18 23 24 29 18 15 29 16 19 22 16 23 23 19 4 20 24 20 4 24 22 16 3 15 24 17 20 27 26 23 17 20 22 19 24 19 23 15 27 26 22 22 18 15 22 27 10 20 17 23 19 13 27 23 16 25 2 26 20 23 22 24
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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