Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
97.57 97.74 97.92 98.19 98.23 98.41 98.59 98.71 99.14 99.62 100.18 100.66 101.19 101.75 102.2 102.87 98.81 97.6 96.68 95.96 98.89 99.05 99.2 99.11 99.19 99.77 100.70 100.78 100.53 101.01 100.92 101.10 103.11 102.99 102.31 102.61 103.68 104.72 107.66 108.87 108.12 107.61 106.42 105.61 105.71 105.49 105.57 105.18 106.09 106.34 108.47 116.87 121.08 123.27 124.18 125.60 126.57 127.18 128.04 128.55 129.67
Data Y:
127.96 127.47 126.47 125.75 125.42 125.14 125.15 125.51 125.63 126.22 126.88 127.96 128.74 129.6 131.2 132.72 134.67 135.94 136.39 136.74 137.2 137.36 138.63 141.07 143.32 147.91 152.56 151.61 156.56 157.45 158.13 159.18 159.47 159.79 161.65 162.77 163.48 166.16 163.86 162.12 149.08 145.32 141.21 134.68 133.65 139.17 138.61 144.96 157.99 167.18 174.48 182.77 190.00 189.70 188.90 198.28 201.18 204.14 221.02 221.12 220.68
Data Z:
20.72 21.45 22.09 21.53 23.35 23.57 26.42 25.21 26.44 29.34 29.40 33.05 28.38 26.01 29.31 30.36 35.75 36.15 34.21 37.91 38.70 42.12 42.16 39.80 37.36 38.35 42.60 41.25 42.16 46.94 47.43 47.06 50.18 50.13 43.23 40.04 40.37 42.21 37.00 39.74 42.68 46.29 46.97 48.73 52.37 50.05 54.04 57.78 64.72 63.41 64.36 66.03 72.14 76.60 86.97 93.48 95.59 81.89 70.55 50.38 36.25
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation