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Data X:
107.11 107.57 107.81 108.75 109.43 109.62 109.54 109.53 109.84 109.67 109.79 109.56 110.22 110.40 110.69 110.72 110.89 110.58 110.94 110.91 111.22 111.09 111.00 111.06 111.55 112.32 112.64 112.36 112.04 112.37 112.59 112.89 113.22 112.85 113.06 112.99 113.32 113.74 113.91 114.52 114.96 114.91 115.30 115.44 115.52 116.08 115.94 115.56 115.88 116.66 117.41 117.68 117.85 118.21 118.92 119.03 119.17 118.95 118.92 118.90
Data Y:
107.56 107.70 107.67 107.67 107.72 108.35 108.25 108.26 108.31 108.33 108.36 108.36 108.97 109.62 109.60 109.64 109.65 109.64 109.93 109.81 109.77 110.10 110.40 110.50 111.89 112.10 111.92 112.15 112.16 112.17 112.32 112.38 112.34 113.14 113.18 113.21 113.76 113.99 113.95 113.93 114.01 114.10 114.11 114.10 114.12 114.68 114.71 114.73 115.81 116.01 116.12 116.49 116.51 116.60 117.01 117.01 117.12 117.22 118.38 118.80
Data Z:
104.94 106.13 104.83 105.23 105.53 105.71 106.37 106.17 106.56 106.27 108.48 108.74 108.61 110.09 109.02 105.71 106.06 106.21 106.53 106.53 106.36 104.19 105.49 106.28 105.08 106.81 105.99 106.16 105.49 105.81 106.15 105.70 106.02 105.42 106.37 107.05 106.22 107.86 105.40 106.15 105.95 105.91 106.87 105.99 106.05 106.00 106.70 106.37 107.84 108.34 107.63 105.49 106.32 106.79 107.57 106.78 106.42 106.83 108.19 107.98
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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Big Analytics Cloud Computing Center
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