Mixed Models providing a correlation structure.
Why did you use the 'lower.tri' syntax? Does this work for you? lme(Y~Random, data = DATA, random = list(Random = pdSymm(CovM,~Random))) Kevin
On Wed, Jul 11, 2012 at 9:27 AM, Marcio <mresende at ufl.edu> wrote:
Dear Simon, Thanks for the quick reply. Unfortunately I don't have access to Pinheiro and Bates. I tried googling the pdSymm and lme but I still cannot get the syntax right. In my model, I only have 1 random factor with repetitions (groups) (e.g. 2 records per each level) I am pasting bellow a very small example (2 records and 2 levels) which demonstrates the error I am having. The syntax of lme is obviously wrong, and any help would be appreciated: Thanks
#Example CovM <- matrix(c(1,0.5,0.5,1),2) CovM
[,1] [,2] [1,] 1.0 0.5 [2,] 0.5 1.0
DATA <- data.frame(Y = c(rnorm(4)), Random = c(1,1,2,2)) DATA
Y Random 1 0.24037680 1 2 0.03477704 1 3 -1.83389279 2 4 -0.84793117 2
lme(Y~Random, data = DATA, random = list(Random = pdSymm (CovM[lower.tri(CovM)],~Random)))
Error in `Names<-.pdMat`(`*tmp*`, value = c("(Intercept)", "Random")) :
Length of names should be 1
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Kevin Wright