Re: st: Variable names and labels for interaction terms

[Roger Newson <r.newson@imperial.ac.uk>]

Another possibility is to use the -parmest- package, downloadable from 
SSC, to create an output dataset (or resultsset) with 1 observation per 
estimated parameter and data on parameter names, estimates, confidence 
limits and other parameter attributes. You can then use the -fvregen- 
and -descsave- packages, also downloadable from SSC, to reconstruct the 
factors (complete with variable labels and value labels) in the output 
dataset. A recent presentation on this subject is Newson (2010).

I hope this helps.

Best wishes

Roger


References

Newson, R. B. Post-parmest peripherals: fvregen, invcise, and qqvalue. 
Presented at the 16th UK Stata User Meeting, 9-10 September, 2010. 
Download from
http://ideas.repec.org/p/boc/usug10/01.html


Roger B Newson BSc MSc DPhil
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton Campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: r.newson@imperial.ac.uk
Web page: http://www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/

Opinions expressed are those of the author, not of the institution.

On 23/03/2011 11:00, Daniel Klein wrote:
> You may want to take a look at -genicv-, available from SSC. Type
> . ssc install genicv
>
> The program does not truncate variable names however.
>
> Best
> Daniel
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