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Data X:
59.9 59.9 59.9 60.9 60.9 60.9 61.1 61.1 61.1 60.2 60.2 60.2 60.1 60.1 60.1 59.7 59.7 59.7 60.5 60.5 60.5 59.5 59.5 59.5 59.5 59.5 59.5 59.7 59.7 59.7 60.4 60.4 60.4 60 60 60 59 59 59 59.3 59.3 59.3 59.7 59.7 59.7 60.4 60.4 60.4 59.9 59.9 59.9 60.5 60.5 60.5 60.4 60.4 60.4 60.6 60.6 60.6 60.9 60.9 60.9 61 61 61 61.2 61.2 61.2 61.2 61.2 61.2 60.3 60.3 60.3 60.4 60.4 60.4 61.2 61.2 61.2 62.1 62.1 62.1 61.7 61.7 61.7 61.6 61.6 61.6
Data Y:
7.3 7.2 7.1 6.9 6.8 6.7 6.8 6.8 6.7 6.8 6.8 6.7 6.3 6.2 6.2 6.5 6.5 6.4 6.2 6.2 6.3 7.5 7.4 7.4 7.4 7.4 7.4 7.2 7.2 7.2 7.5 7.4 7.5 8.0 8.0 8.0 8.1 8.1 8.1 7.9 7.9 8.0 8.2 8.1 8.2 8.5 8.5 8.6 8.4 8.4 8.4 7.7 7.8 7.9 8.8 8.8 8.9 8.5 8.5 8.5 8.4 8.5 8.4 8.3 8.4 8.4 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.3 8.3 8.3 8.2 8.1 8.1 8.2 8.0 7.9 7.9 7.8 7.7 7.9 7.7 7.6
Data Z:
13.5 16.2 17.6 15.8 17.6 15.2 15.9 12.0 13.3 14.8 16.1 16.9 17.6 13.9 10.0 7.6 7.1 8.1 8.1 7.7 4.0 1.4 0.3 -1.0 -1.9 -1.5 -0.2 3.4 3.0 4.1 3.4 3.2 6.1 5.8 6.2 5.8 5.9 6.7 5.9 3.8 1.7 1.4 1.8 3.0 3.6 4.8 4.3 4.2 2.9 4.9 7.2 8.7 9.1 8.9 9.0 11.6 9.6 9.1 9.2 10.8 11.0 8.5 6.5 7.2 7.8 8.7 7.8 7.5 7.7 7.5 8.3 7.9 10.4 11.5 14.0 11.9 11.9 10.3 11.3 9.9 8.9 9.2 8.8 6.7 7.1 6.6 7.2 5.0 5.3 6.3
R Code
(rho12 <- cor(x, y)) (rho23 <- cor(y, z)) (rho13 <- cor(x, z)) (rhoxy_z <- (rho12-(rho13*rho23))/(sqrt(1-(rho13*rho13)) * sqrt(1-(rho23*rho23)))) (rhoxz_y <- (rho13-(rho12*rho23))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho23*rho23)))) (rhoyz_x <- (rho23-(rho12*rho13))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho13*rho13)))) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Pearson Product Moment Partial Correlation - Ungrouped Data',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Statistic',1,TRUE) a<-table.element(a,'Value',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation r(xy)',header=TRUE) a<-table.element(a,rho12) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(xy.z)',''),header=TRUE) a<-table.element(a,rhoxy_z) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation r(xz)',header=TRUE) a<-table.element(a,rho13) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(xz.y)',''),header=TRUE) a<-table.element(a,rhoxz_y) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Correlation r(yz)',header=TRUE) a<-table.element(a,rho23) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(yz.x)',''),header=TRUE) a<-table.element(a,rhoyz_x) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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