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Data X:
100.30 98.50 95.10 93.10 92.20 89.00 86.40 84.50 82.70 80.80 81.80 81.80 82.90 83.80 86.20 86.10 86.20 88.80 89.60 87.80 88.30 88.60 91.00 91.50 95.40 98.70 99.90 98.60 100.30 100.20 100.40 101.40 103.00 109.10 111.40 114.10 121.80 127.60 129.90 128.00 123.50 124.00 127.40 127.60 128.40 131.40 135.10 134.00 144.50 147.30 150.90 148.70 141.40 138.90 139.80 145.60 147.90 148.50 151.10 157.50
Data Y:
103.63 103.64 103.66 103.77 103.88 103.91 103.91 103.92 104.05 104.23 104.30 104.31 104.31 104.34 104.55 104.65 104.73 104.75 104.75 104.76 104.94 105.29 105.38 105.43 105.43 105.42 105.52 105.69 105.72 105.74 105.74 105.74 105.95 106.17 106.34 106.37 106.37 106.36 106.44 106.29 106.23 106.23 106.23 106.23 106.34 106.44 106.44 106.48 106.50 106.57 106.40 106.37 106.25 106.21 106.21 106.24 106.19 106.08 106.13 106.09
Data Z:
103.34 103.38 103.64 104.04 104.11 104.11 104.11 104.17 105.16 105.86 106.11 106.11 106.11 106.13 106.67 106.85 106.97 107.02 107.02 107.07 107.76 108.10 108.18 108.22 108.22 108.17 108.31 108.31 108.36 108.46 108.46 108.46 109.43 109.55 109.62 109.70 109.70 109.56 109.92 109.81 109.78 109.80 109.80 109.79 110.40 110.95 111.07 111.09 111.10 111.01 111.01 111.35 111.42 111.24 111.24 111.47 111.57 111.96 112.02 112.02
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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