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Data X:
21 16 19 18 16 23 17 12 19 16 19 20 13 20 27 17 8 25 26 13 19 15 5 16 14 24 24 9 19 19 25 19 18 15 12 21 12 15 28 25 19 20 24 26 25 12 12 15 17 14 16 11 20 11 22 20 19 17 21 23 18 17 27 25 19 22 24 20 19 11 22 22 16 20 24 16 16 22 24 16 27 11 21 20 20 27 20 12 8 21 18 24 16 18 20 20 19 17 16 26 15 22 17 23 21 19 14 17 12 24 18 20 16 20 22 12 16 17 22 12 14 23 15 17 28 20 23 13 18 23 19 23 12 16 23 13 22 18 23 20 10 17 18 15 23 17 17 22 20 20 19 18 22 20 22 18 16 16 16 16 17 18
Data Y:
26 20 19 19 20 25 25 22 26 22 17 22 19 24 26 21 13 26 20 22 14 21 7 23 17 25 25 19 20 23 22 22 21 15 20 22 18 20 28 22 18 23 20 25 26 15 17 23 21 13 18 19 22 16 24 18 20 24 14 22 24 18 21 23 17 22 24 21 22 16 21 23 22 24 24 16 16 21 26 15 25 18 23 20 17 25 24 17 19 20 15 27 22 23 16 19 25 19 19 26 21 20 24 22 20 18 18 24 24 22 23 22 20 18 25 18 16 20 19 15 19 19 16 17 28 23 25 20 17 23 16 23 11 18 24 23 21 16 24 23 18 20 9 24 25 20 21 25 22 21 21 22 27 24 24 21 18 16 22 20 18 20
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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 Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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