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Data X:
3.62 4.34 2.94 4.92 4.15 4.63 4.18 4.00 4.13 4.91 3.62 4.56 4.25 4.60 5.00 4.87 4.65 4.34 4.70 4.94 4.72 4.24 4.79 4.27 4.64 3.15 4.94 4.22 4.48 4.71 4.57 4.53 4.48 4.07 4.70 4.71 3.64 4.65 4.21 4.48 5.00 4.92 4.76 4.36 4.47 4.82 3.83 2.71 1.95 4.29 4.53 3.20 4.04 3.72 4.29 4.32 4.62 4.47 4.50 4.59 4.83 4.69 4.53 4.10 4.62 4.16 4.18 3.41 4.26 4.21 4.59 4.94 4.19 4.59 4.71 4.27 4.12 4.13 5.00 4.70 4.41 3.97 4.27 4.64 3.69 4.53 4.05 4.03 4.33 4.67 4.81
Data Y:
90000.00 10000.00 20000.00 40000.00 2000.00 2000000.00 10000.00 3000.00 2000.00 32.00 100000.00 2000.00 20000.00 506.00 401.00 10000.00 300000.00 40000.00 4000.00 4000.00 4000000.00 100000.00 200000.00 10000.00 10000.00 800000.00 864.00 100000.00 1000000.00 200000.00 10000000.00 50000.00 8000.00 2000.00 100000.00 7000.00 30000.00 1000000.00 100000.00 2000.00 9.00 354.00 40000.00 40000.00 200000.00 100000.00 40000.00 100000.00 100000.00 20000.00 10000.00 517.00 50000.00 90000.00 30000.00 50000.00 2000.00 877.00 1000.00 40000.00 3000.00 30000.00 50000.00 70000.00 30000.00 30000.00 30000.00 300000.00 1000.00 10000.00 10000.00 1000.00 90000.00 100000.00 2000000.00 100000.00 10000.00 4000000.00 2000.00 10000.00 400000.00 60000.00 80000.00 200000.00 10000.00 10000.00 40000.00 10000.00 456.00 2000.00 10000.00
Sample Range:
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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
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R Server
Big Analytics Cloud Computing Center
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