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Data X:
111.632 106.707 108.827 108.413 106.249 104.861 102.382 100.320 100.228 117.089 121.523 114.948 112.831 107.605 108.928 101.993 102.850 99.925 101.536 99.450 98.305 110.159 109.483 106.810 96.279 91.982 90.276 90.999 86.622 83.117 80.367 77.550 77.443 92.844 92.175 84.822 81.632 78.872 81.485 80.651 78.192 76.844 76.335 71.415 73.889 86.822 86.371 83.469 82.662 82.880 89.406 95.378 97.657 100.247 99.180 97.493 101.628 114.585 115.669 111.311
Data Y:
123.560 122.117 121.782 121.789 122.273 121.683 119.869 118.873 117.607 122.783 124.454 127.064 125.166 124.554 124.272 128.836 127.408 126.420 124.465 124.526 124.379 130.189 132.196 134.893 132.709 129.955 127.947 130.369 129.852 124.278 126.141 121.743 110.898 117.707 120.738 121.445 120.439 116.313 117.173 119.773 119.639 113.006 113.776 107.866 106.924 114.562 115.367 116.602 114.393 115.140 117.623 119.361 120.527 121.660 122.852 119.325 119.151 126.494 127.832 128.780
Data Z:
93.028 92.285 91.685 94.260 93.858 92.437 92.980 92.099 92.803 88.551 98.334 98.329 96.455 97.109 97.687 98.512 98.673 96.028 98.014 95.580 97.838 97.760 99.913 97.588 93.942 93.656 92.881 93.120 91.063 90.930 91.946 94.624 65.484 95.862 95.530 94.574 94.677 93.845 91.533 91.214 90.922 89.563 89.945 91.850 92.505 92.437 93.876 93.561 94.119 95.264 96.089 97.160 98.644 96.266 97.938 99.757 101.550 102.449 102.416 102.587
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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