st: New version of -expgen- on SSC

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

Thanks to the very prompt and helpful services of Kit Baum, a new 
version of the -expgen- package (described as below on my website) is 
now available for download from SSC. In Stata, use the -ssc- command to 
do this, or -adoupdate- if you already have an old version of -expgen-.

The -expgen- package is described as below on my website. The new 
version recognizes the missing values ._ and .a to .z (as well as the 
standard missing value .) as being missing, for the purposes of the 
-missing- option. It also generates the -oldseq()- output variable 
initially as a -long- variable, and not as a -int- variable as the old 
version did, before compressing the -oldseq()- output variable if 
possible. I would like to thank Luciano Laveccia of the Banca d'Italia 
for alerting me about this horrible bug, which can cause problems of 
precision loss with large datasets.

Best wishes

Roger


--
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.

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package expgen from http://www.imperial.ac.uk/nhli/r.newson/stata10
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TITLE
      expgen: Duplicate observations and add generated variables

DESCRIPTION/AUTHOR(S)
      The program expgen is an extended version of expand. It replaces each
      observation in the current dataset with multiple copies of the 
observation,
      sorted in the order of the original observations. It can also 
generate new
      variables, including a variable containing the sequential order of a
      duplicate observation in the set of duplicate observations from 
the same
      original observation (so that if the old observation has k 
duplicates, then
      these duplicates are numbered from 1 to k in the new variable). 
expgen is
      useful if the user has a dataset of repeated measures. For 
instance, in a
      medical setting, the original dataset may contain one observation per
      patient, and multiple variables containing repeated measures on 
the same
      patient, and the user may want to expand the original dataset 
into a new
      dataset, with one observation per repeated measure.

      Author: Roger Newson
      Distribution-Date: 29december2010
      Stata-Version: 10

INSTALLATION FILES                                  (click here to install)
      expgen.ado
      expgen.sthlp
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