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Data X:
100.00 105.26 106.58 101.32 98.68 100.00 102.63 102.63 102.63 98.68 98.68 93.42 98.68 98.68 100.00 101.32 101.32 103.95 106.58 107.89 107.89 107.89 103.95 96.05 90.79 86.84 88.16 90.79 92.11 93.42 94.74 93.42 90.79 92.11 89.47 84.21 88.16 86.84 84.21 82.89 81.58 85.53 89.47 89.47 84.21 80.26 76.32 80.26 94.74 96.05 90.79 80.26 76.32 81.58 93.42 101.32 103.95 101.32 97.37 98.68
Data Y:
100.00 106.73 104.81 96.15 88.46 88.46 91.35 92.31 91.35 87.50 85.58 86.54 97.12 99.04 98.08 92.31 88.46 89.42 90.38 90.38 88.46 86.54 86.54 86.54 94.23 96.15 94.23 89.42 86.54 86.54 87.50 87.50 87.50 88.46 84.62 79.81 80.77 77.88 74.04 75.96 75.96 76.92 75.96 73.08 68.27 65.38 62.50 66.35 78.85 83.65 79.81 75.96 72.12 75.00 79.81 80.77 78.85 74.04 69.23 70.19
Data Z:
100.00 94.97 107.50 124.27 107.06 79.71 163.41 144.83 166.82 154.26 132.60 157.51 104.02 106.03 113.23 117.64 113.34 66.62 185.99 174.57 208.19 163.81 162.46 148.16 113.41 105.63 111.79 132.36 110.75 67.37 178.29 156.38 189.71 152.80 150.80 160.40 127.25 108.47 117.09 147.25 116.19 75.83 181.94 179.12 183.15 197.90 155.42 162.54 125.90 105.50 121.11 137.51 97.20 69.74 152.58 146.59 161.16 152.84 121.95 140.12
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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