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Data X:
15859.4 15258.9 15498.6 15106.5 15023.6 12083.0 15761.3 16942.6 15070.3 13659.6 14768.9 14725.1 15998.1 15370.6 14956.9 15469.7 15101.8 11703.7 16283.6 16726.5 14968.9 14861.0 14583.3 15305.8 17903.9 16379.4 15420.3 17870.5 15912.8 13866.5 17823.2 17872.0 17422.0 16704.5 15991.2 16583.6 19123.5 17838.7 17209.4 18586.5 16258.1 15141.6 19202.1 17746.5 19090.1 18040.3 17515.5 17751.8 21072.4 17170.0 19439.5 19795.4 17574.9 16165.4 19464.6 19932.1 19961.2 17343.4 18924.2 18574.1 21350.6
Data Y:
12710.3 12120.8 12469.5 12054.6 12112.9 9617.2 12645.8 13581.3 12162.3 10969.7 11880.0 11887.6 12926.9 12300.0 12092.8 12380.8 12196.9 9455.0 13168.0 13427.9 11980.5 11884.8 11691.7 12233.8 14341.4 13130.7 12421.1 14285.8 12864.6 11160.2 14316.2 14388.7 14013.9 13419.0 12769.6 13315.5 15332.9 14243.0 13824.4 14962.9 13202.9 12199.0 15508.9 14199.8 15169.6 14058.0 13786.2 14147.9 16541.7 13587.5 15582.4 15802.8 14130.5 12923.2 15612.2 16033.7 16036.6 14037.8 15330.6 15038.3 17401.8
Data Z:
2468.9 2469.2 2417.7 2411.1 2361.0 1924.1 2486.9 2674.9 2296.2 2101.5 2322.0 2273.8 2501.3 2435.2 2273.3 2454.7 2328.8 1897.0 2608.1 2712.3 2322.0 2282.6 2241.1 2417.2 2829.0 2600.6 2321.0 2768.5 2457.3 2142.7 2764.4 2788.9 2679.5 2536.5 2682.7 2699.6 3097.8 3015.2 2878.0 3010.9 2612.3 2419.3 3096.5 3013.0 3397.4 3423.1 3298.7 3065.7 3918.3 3154.4 3334.7 3461.6 3018.5 2832.0 3301.3 3342.8 3464.4 3016.6 3201.3 3135.3 3549.8
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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1 seconds
R Server
Big Analytics Cloud Computing Center
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