R help - Oct 2003 - (no subject)

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

Silika  -

By far the best reference for the nlme package is the book by its
authors:

J.C. Pinheiro and D.M. Bates.  Mixed effects models in S and Splus.
Springer, NY, 2000.  ISBN (US) 0-387-989579.  (There is a different,
European, ISBN number but my library catalog doesn't give it.)

This citation is NOT given in  help("lme"),  presumably because the
help page pre-dates the book.  The Laird and Ware (1982) article
cited on the help page may also be useful.

-  tom blackwell  -  u michigan medical school  -  ann arbor  -

On Sat, 4 Oct 2003 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

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
>
>______________________________________________
>R-help at stat.math.ethz.ch mailing list
>https://www.stat.math.ethz.ch/mailman/listinfo/r-help
>  
>