[R] hierarchical mixed-effects model? [was (no subject)]

[Spencer Graves]

Please use an informative subject. 

Have you consulted the book Pinhiero and Bates (2000) Mixed-Effects 
Models in S and S-Plus (Springer)?  I was able to use lme successfully 
only after reading the first few chapters of this book and working 
through the examples therein.  I have not used nlme, but if I wanted to 
use it, I would start with this book. 

hope this helps.  spencer graves

silika.tereshchenko at unisg.ch wrote:

>Dear all,
>
>
>I have the following question. I have to fit the hierarchical model for the
>hypothesis concern the individual-level effects by controlling for the
>individual -level attributes and national-level contextual effects  on
>individuals by using R.
>
>O have to obtain the estimates of the impact of the second-level (national:
>GDP per capita) effects on individuals ( in this instance the impact of the
>GDP per capita on the attitudes towards the EU enlargement) by allowing
>national differences in both slopes (GDP per capita) and interceps.
>
>In R programm for the fitting the hierarchical models i can use the nlme
>package. I found a literature (Bryk and Raudenbush) for the hierarchical
>models and understood how to build this models by using the survey data.
>The question arise if I´m thinking about the combination of the datasets:
>the GDP per capita that will be hold as a constant and the survey data for
>each respondent.
>
>My question is how I could solve this problem and merge the data in such a
>form that should be appropriate for the hieararchical regression model.
>
>
>
>Thank a lot in advance for the help,
>
>Silika Tereshchenko
>
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>  
>