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Data X:
30.35 31.21 32.86 33.20 35.73 34.53 36.54 40.10 40.56 46.14 42.85 38.22 40.18 42.19 47.56 47.26 44.03 49.83 53.35 58.90 59.64 56.99 53.20 53.24 57.85 55.69 55.64 62.52 64.40 64.65 67.71 67.21 59.37 53.26 52.42 55.03 49.32 52.94 54.95 58.20 58.90 62.35 69.23 67.77 73.27 79.32 87.16 85.28 87.06 89.41 98.44 106.64 118.55 127.47 128.08 112.83 98.50 73.18 53.67 036.80
Data Y:
12610 10862 52929 56902 81776 87876 82103 72846 60632 33521 15342 7758 8668 13082 38157 58263 81153 88476 72329 75845 61108 37665 12755 2793 12935 19533 33404 52074 70735 69702 61656 82993 53990 32283 15686 2713 12842 19244 48488 54464 84192 84458 85793 75163 68212 49233 24302 5402 15058 33559 70358 85934 94452 129305 113882 107256 94274 57842 26611 14521
Data Z:
346545.627 314279.910 308812.096 290559.914 27380.264 345085.079 77331.697 68439.037 35622.198 12450.223 02101.256 41947.963 43121.454 98500.316 317458.276 289562.400 15062.110 363671.636 02273.846 04940.681 350217.801 316397.924 06115.236 48101.071 28657.739 07333.430 18729.800 297858.078 30615.570 64259.798 410420.793 07762.536 32055.321 21567.091 09158.826 336283.246 53531.095 323230.395 20471.243 03129.064 330202.758 362754.877 393226.432 421796.659 55393.912 32615.416 14102.543 346290.331 362142.474 324274.772 23931.760 304333.531 324589.071 72442.921 402088.175 87974.725 37258.801 318231.559 309929.807 343061.285
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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