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Data X:
105.81 107.16 107.83 108.85 109.52 110.19 111.20 111.54 111.88 112.55 112.55 112.55 114.24 116.26 116.60 118.62 119.63 120.64 121.65 122.33 122.66 123.00 123.34 124.68 125.02 125.02 125.36 125.70 125.70 126.03 126.37 126.37 126.71 126.71 127.04 127.04 127.38 127.72 128.05 129.40 131.09 131.42 131.76 132.10 132.43 132.77 132.77 133.11 133.45 133.78 134.12 134.46 134.79 134.79 135.13 135.13 136.82 137.15 142.54 143.89
Data Y:
112.39 97.59 142.30 120.79 121.24 104.61 119.86 117.81 91.86 117.37 112.84 101.95 120.52 102.84 137.41 118.97 125.01 118.57 130.61 116.30 99.15 110.26 107.59 107.01 113.77 93.33 147.32 124.48 106.79 134.39 111.41 132.43 98.26 109.81 115.28 108.97 99.19 105.46 138.97 124.52 117.37 123.86 116.39 124.70 97.46 103.24 112.39 107.19 100.53 95.73 143.54 101.99 120.66 121.46 102.97 121.32 85.02 106.21 110.39 87.10
Data Z:
31.33 56.94 59.52 71.40 115.44 142.97 119.09 170.31 122.78 80.42 50.45 55.18 35.93 58.80 65.24 80.90 126.72 132.76 122.36 166.64 127.97 84.01 50.95 59.49 42.42 65.24 59.20 95.66 125.15 132.28 153.07 146.08 133.08 85.77 53.35 60.93 42.23 55.98 58.27 95.50 124.14 129.91 154.83 148.90 142.01 81.96 53.45 61.19 40.26 52.63 65.95 93.05 124.35 148.53 149.19 154.14 164.86 80.58 51.33 67.87
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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