st: New package -insingap- on SSC

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

Thanks once again to Kit Baum, a new package -insingap- is now available 
for download from SSC. In Stata, use the -ssc- command to do this.

The -insingap- package is described as below on my website, and is an 
easy-to-use front for the more comprehensive (and less easy to use) 
-ingap-, also usng -sdecode-. Both of these packages can also be 
downloaded from SSC. -insingap- simplifies the task of creating tables 
from resultssets and other datasets (see Newson, 2012).

Best wishes

Roger

References

Newson RB. From resultssets to resultstables in Stata. The Stata Journal 
2012; 12(2): 191–213. Purchase from
http://www.stata-journal.com/article.html?article=st0254

--
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 insingap from http://www.imperial.ac.uk/nhli/r.newson/stata11
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TITLE
      insingap: Insert a single gap observation at the top of each by-group

DESCRIPTION/AUTHOR(S)
      insingap inputs a dataset and (optionally) a list of by-variables.
      It sorts the dataset by these by-variables (if present), and then
      inserts a single gap observation at the beginning of each by-group,
      or at the top of the dataset if there are no by-variables.  In the
      gap observations, values of the non-by variables are initialized to
      missing.  However, the user may specify an existing string variable
      as a row label variable, and set its value in the gap observations
      to a value derived by decoding a subset of the by-variables, using
      the msdecode module of the SSC package sdecode.  These gap
      observations may be useful when presenting the dataset.  For
      instance, the dataset may be used to produce tables, using the SSC
      package listtab.  Alternatively, the dataset may be used to produce
      plots, using the SSC package sencode to encode the row variable.
      insingap requires the packages sdecode and ingap, which the user can
      download from SSC.

      Author: Roger Newson
      Distribution-Date: 20march2013
      Stata-Version: 11

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