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Data X:
100.00 108.16 114.02 102.19 110.37 96.86 94.19 99.52 94.06 97.55 78.15 81.24 92.36 96.06 114.05 110.66 104.92 90.00 95.70 86.03 84.85 100.04 80.92 74.07 77.30 97.23 90.76 100.56 92.01 99.24 105.87 90.99 93.31 91.17 77.33 91.13 85.01 83.90 104.86 110.90 95.44 111.62 108.89 96.18 101.97 99.12 86.78 118.42 118.74 106.53 134.78 104.68 105.30 139.41 103.61 99.78 103.46 120.06 96.71 107.13 105.36 111.69 132.05 126.80 154.48 141.56 109.95 127.90 133.09 120.08 117.56 143.04
Data Y:
100.00 99.97 101.03 101.00 101.30 101.43 101.49 102.14 102.58 102.34 102.07 101.83 102.14 102.58 102.63 102.74 103.32 103.27 102.48 102.14 102.07 101.69 101.15 100.90 101.77 101.93 102.27 102.49 102.80 102.82 102.83 102.89 102.87 102.67 102.96 103.22 103.53 104.63 104.63 104.17 103.93 104.01 104.16 105.22 105.85 106.21 105.77 105.63 106.49 107.51 110.43 111.42 111.58 111.34 111.08 111.66 112.36 112.31 111.52 110.87 111.13 112.71 113.25 113.09 112.55 112.87 113.59 115.14 116.38 116.50 116.25 116.73
Data Z:
100.00 99.95 102.07 102.02 102.63 102.88 103.01 104.33 105.21 104.73 104.17 103.69 104.33 105.21 105.31 105.54 106.70 106.60 105.01 104.33 104.17 103.42 102.33 101.82 103.57 103.90 104.58 105.03 105.67 105.69 105.72 105.84 105.79 105.39 105.97 106.50 107.13 109.36 109.36 108.42 107.94 108.10 108.40 110.55 111.81 112.55 111.66 111.38 113.10 115.18 121.07 123.07 123.40 122.92 122.39 123.55 124.97 124.87 123.27 121.96 122.49 125.68 126.76 126.44 125.35 126.01 127.45 130.58 133.09 133.34 132.84 133.80
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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