search for: varietymarvel

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2006 Sep 23
1
variance-covariance structure of random effects in lme
...correlation components: >library(nlme) >data(Oats) >fm4OatsB <- lme(yield~nitro, data=Oats, random=list(Block=pdCompSymm(~Variety-1))) >VarCorr(fm4OatsB) Block = pdCompSymm(Variety - 1) Variance StdDev Corr VarietyGolden Rain 331.5271 18.20788 VarietyMarvellous 331.5271 18.20788 0.635 VarietyVictory 331.5271 18.20788 0.635 0.635 Residual 165.5585 12.86695 This is a compound symmetry variance-covariance structure. I then tried to find out the standard deviation and correlation matrix of the BLUPs predictors of the random e...