[R-sig-ME] strategy to iterate over repeated measures/longitudinal data

[hadley wickham]

> For each predictor:
> 1. create a long data set using the predictor and all measurements
> (using make.univ function from  multilevel package)
> 2. run lmer, extract the coefficient of interest
> 3. go to next predictor
>
> The end result is a vector of 400,000 coefficients.
>
> Do you have any suggestions on how I can improve this strategy?

What sort of improvement are you looking for?  Speed?  Elegance?  Ease of use?

Hadley

-- 
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