trail_5_6

trail_5_6 - Qn # 3 Y1:- 0123456 lncaliform.yield Tl Th x1...

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Unformatted text preview: Qn # 3 Y1:- 0123456 lncaliform.yield Tl Th x1 0123456 lncaliform.yield Bl Bh x2 0123456 lncaliform.yield Sl Sh x3 Factors median of lncaliform.yield 2.0 3.0 4.0 5.0 Tl Th Bl Bh Sl Sh x1 x2 x3 Half-normal Quantiles Effects 0.0 0.5 1.0 1.5 2.0 2 4 6 x3 x1:2 x1:2: fitted(aov.lncaliform) resid(aov.lncaliform) 1 2 3 4 5-0.6-0.2 0.2 0.6 3.0 3.5 4.0 mean of lncaliform.yield x 1 d h x 2 v l 2 3 4 5 mean of lncaliform.yield x 2 l v x 3 m f 2 3 4 5 mean of lncaliform.yield d h x 3 m f x 1 > fnames<-list(x1=c("Tl","Th"),x2=c("Bl","Bh"),x3=c("Sl","Sh")) > lncaliform.design<-fac.design(c(2,2,2),fnames,rep=2) > lncaliform.yield<-scan() 1: 0 2.48490665 2.772588722 1.386294361 5.030437921 4.859812404 4.96284463 4.727387819 9: 0.693147181 3.610917913 3.044522438 0.693147181 4.564348191 5.966146739 5.703782475 5.634789603 17: > lncaliform.df<-data.frame(lncaliform.design,lncaliform.yield) > aov.lncaliform<-aov(lncaliform.yield~(x1+x2+x3)^3,lncaliform.df) > summary(aov.lncaliform) Df Sum of Sq Mean Sq F Value Pr(F) x1 1 0.41982 0.41982 1.3129 0.2849924 x2 1 0.18396 0.18396 0.5753 0.4699143 x3 1 44.76957 44.76957 140.0050 0.0000024 x1:x2 1 7.12352 7.12352 22.2769 0.0015025 x1:x3 1 0.03407 0.03407 0.1065 0.7525002 x2:x3 1 0.01560 0.01560 0.0488 0.8307502 x1:x2:x3 1 3.61449 3.61449 11.3034 0.0099017 Residuals 8 2.55817 0.31977 > model.tables(aov.lncaliform,type="feffects",se=T) Table of factorial effects Effects se x1 0.323966 0.28274 x2 0.214455 0.28274 x3 3.345503 0.28274 x1:x2 -1.334496 0.28274 x1:x3 -0.092286 0.28274 x2:x3 -0.062440 0.28274 x1:x2:x3 0.950591 0.28274 > par(mfrow=c(3,2)) > par(mfrow=c(2,2)) > plot.design(lncaliform.df,fun=median) > coef(aov.lncaliform) (Intercept) x1 x2 x3 x1:x2 x1:x3 x2:x3 x1:x2:x3 3.508442 0.1619832 0.1072275 1.672752 -0.6672481 -0.04614278 -0.03122011 0.4752953 > par(mfrow=c(3,2))...
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trail_5_6 - Qn # 3 Y1:- 0123456 lncaliform.yield Tl Th x1...

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