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Data X:
103.34 102.60 100.69 105.67 123.61 113.08 106.46 123.38 109.87 95.74 123.06 123.39 120.28 115.33 110.40 114.49 132.03 123.16 118.82 128.32 112.24 104.53 132.57 122.52 131.80 124.55 120.96 122.60 145.52 118.57 134.25 136.70 121.37 111.63 134.42 137.65 137.86 119.77 130.69 128.28 147.45 128.42 136.90 143.95 135.64 122.48 136.83 153.04 142.71 123.46 144.37 146.15 147.61 158.51 147.40 165.05 154.64 126.20 157.36 154.15 123.21 113.07 110.45 113.57 122.44 114.93 111.85 126.04 121.34 124.36
Data Y:
98.60 96.90 95.10 97.00 112.70 102.90 97.40 111.40 87.40 96.80 114.10 110.30 103.90 101.60 94.60 95.90 104.70 102.80 98.10 113.90 80.90 95.70 113.20 105.90 108.80 102.30 99.00 100.70 115.50 100.70 109.90 114.60 85.40 100.50 114.80 116.50 112.90 102.00 106.00 105.30 118.80 106.10 109.30 117.20 92.50 104.20 112.50 122.40 113.30 100.00 110.70 112.80 109.80 117.30 109.10 115.90 96.00 99.80 116.80 115.70 99.40 94.30 91.00 93.20 103.10 94.10 91.80 102.70 82.60 89.10
Data Z:
96.33 96.33 95.05 96.84 96.92 97.44 97.78 97.69 96.67 98.29 98.20 98.71 98.54 98.20 100.80 101.33 101.88 101.85 102.04 102.22 102.63 102.65 102.54 102.37 102.68 102.76 102.82 103.31 103.23 103.60 103.95 103.93 104.25 104.38 104.36 104.32 104.58 104.68 104.92 105.46 105.23 105.58 105.34 105.28 105.70 105.67 105.71 106.19 106.93 107.44 107.85 108.71 109.32 109.49 110.20 110.62 111.22 110.88 111.15 111.29 111.09 111.24 111.45 111.75 111.07 111.17 110.96 110.50 110.48 110.66
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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