Jeff <r <at> jp.pair.com> writes:
> I'm hoping that this is a relatively easy question for someone
> familiar with the lme4 package. I'm accustomed to using HLM
> software and writing a simple 2 level [null] equation like this:
> L1 - Yij = b0 + e
> L2 - b0 = B00 + u0
> The following command in R provides results that are identical to
> the HLM program.
> results <- lmer( Y ~ 1 |id , PanelData4)
> I can't seem to find any examples on-line nor in the help about
> how to write the lmer4 formula that contains two predictor
> variables at level 1 with fixed slopes.
> L1 - Yij = b0 + b1(x) + b2(z) + e
> L2 - b0 = B00 + u0
> b1 = B10
> b2 = B20
In general you'd probably be better off asking this question
at r-sig-mixed-mod...@r-project.org ... but it's very easy to
put fixed effects into a model --
lmer (Y ~ x + z + (1|id), PanelData4)
or in lme (nlme package):
lme ( Y~ x + z, random = ~ 1|id, PanelData4)
Neither lmer nor lme need to be told explicitly which level
the fixed effects vary at (the data are always provided in
long form).
Ben Bolker
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