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Data X:
10 13 14 8 8 13 13 9 9 14 14 12 12 11 12 14 8 0 11 9 13 8 13 8 9 8 12 12 13 13 10 12 13 9 10 14 8 10 10 14 8 14 10 13 12 12 9 12 10 3 14 10 9 8 11 10 8 14 12 8 14 13 13 13 12 10 14 11 10 13 8 8 7 7 9 12 13 11 10 14 9 7 9 13 9 15 13 14 8 13 11 8 14 9 14 8 12 13 14 13 4 9 12 10 8 9 8 9 8 12 8 7 8 9 14 12 13 9 13 11 12 11 8 12 9 12 13 9 8 8 8 12 13 7 8 8 13 3 12 15 14 7 11 12 10 14 10 15 11 8 6 12 13 12 9 8 14 7 8 14 12 15 11 8 8 7 12 7 11
Data Y:
10 15 13 13 11 15 12 15 14 12 15 9 15 14 11 11 15 0 12 11 12 8 14 14 14 12 14 13 14 14 8 14 15 3 14 13 12 12 14 13 12 13 10 15 15 5 9 11 12 0 14 15 12 13 15 12 14 12 12 10 11 13 13 13 13 12 10 12 10 13 11 15 9 10 14 10 15 13 10 13 15 12 11 13 15 11 14 14 15 13 12 12 15 12 15 14 14 12 15 15 9 14 15 15 7 13 12 12 15 14 10 11 10 13 11 14 13 13 15 13 11 11 14 15 13 13 13 13 11 14 14 13 15 12 12 12 13 7 12 14 15 15 12 13 13 13 14 15 13 14 12 13 9 11 13 13 11 10 15 14 13 13 15 14 15 14 12 13 11
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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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Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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