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st: New version of -descsave- on SSC


From   Roger Newson <roger.newson@kcl.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   st: New version of -descsave- on SSC
Date   Fri, 23 Apr 2004 15:29:46 +0100

Hello All

Thanks to Kit Baum, there is now a new version of the -descsave- package downloadable from SSC (superseding yesterday's version). In Stata, type

ssc desc descsave

to find out more.

The -descsave- package is described as below on my website. The new version has left-justified string formats for the string output variables -name-, -type-, -format-, -vallab-, -varlab- and -charxx-, to harmonize with the listing from -describe-.

Best wishes

Roger

--------------------------------------------------------------------------------------
package descsave from http://www.kcl-phs.org.uk/rogernewson/stata7
--------------------------------------------------------------------------------------

TITLE
descsave: Extension of describe creating output files

DESCRIPTION/AUTHOR(S)
descsave is an extended version of describe, which creates up to 2 output files.
One is a Stata data set with 1 observation per variable and data on variable
attributes (name, type, format, variable label, value label, and selected
characteristics). The other is a Stata do-file which reconstructs these
attributes when run, assuming that the variable exists and is of the correct
mode (numeric or string). descsave can be used to reconstruct variables that
have been output to a generic spreadsheet using outsheet and then input using
insheet, or variables that have been extracted (using factext) from the label
variable of an output data set created by parmby or parmest. (The parmest and
factext packages are downloadable from this website or from SSC.)

Author: Roger Newson
Date: 23 April 2004
Stata version: 7

INSTALLATION FILES (click here to install)
descsave.ado
descsave.hlp
--------------------------------------------------------------------------------------
(click here to return to the previous screen)

--
Roger Newson
Lecturer in Medical Statistics
Department of Public Health Sciences
King's College London
5th Floor, Capital House
42 Weston Street
London SE1 3QD
United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648
Fax: 020 7848 6620 International +44 20 7848 6620
or 020 7848 6605 International +44 20 7848 6605
Email: roger.newson@kcl.ac.uk
Website: http://www.kcl-phs.org.uk/rogernewson

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

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