st: New versions of -parmest- and -dsconcat- on SSC

[Roger Newson <roger.newson@kcl.ac.uk>]

Fellow Statalisters:

Thanks to Kit Baum, there are now new versions of -dsconcat- and -parmest- 
(again!) downloadable from SSC.

The -dsconcat- and -parmest- packages are described as below on my website. 
The new versions fix bugs in the -subset()- option of -dsconcat- and the 
-list()- options of -parmest- and -parmby-, respectively. Both of these 
options are complex and can contain varlists and/or -if- clauses and/or 
-in- clauses. The bugs caused the programs to fail if the -if- clause 
contained an expression containing a quoted string surrounded by blank 
spaces. I have now fixed these bugs. (This was done by altering the syntax 
of these options to -string asis-.)

I would like to thank Nick Cox for suggesting that, as a matter of 
programming style, I ought to use more blank spaces in formulae, because 
this was how I discovered these bugs last night.

Best wishes

Roger

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

TITLE
      dsconcat: Concatenate a list of Stata data files into the memory

DESCRIPTION/AUTHOR(S)
      dsconcat is a multiple-file version of use. It takes, as input, a 
list of
      filenames, assumed to belong to Stata data files, and creates a new 
data set
      in memory, containing a concatenation of all or a subset of the 
observations
      and variables in all the input data sets. The observations are ordered
      primarily by source data set and secondarily by order of 
observations within
      source data set. Optionally, dsconcat creates new variables 
specifying, for
      each observation, the source data set of origin and/or the 
sequential order
      of the observation within its source data set of origin.

      Author: Roger Newson
      Distribution-Date: 22july2003
      Stata-Version: 7


INSTALLATION FILES                                  (click here to install)
      dsconcat.ado
      dsconcat.hlp
----------------------------------------------------------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------------------
package parmest from http://www.kcl-phs.org.uk/rogernewson/stata8
----------------------------------------------------------------------------------------------------------------------------

TITLE
      parmest: Convert estimation results to a data set with 1 obs per 
parameter

DESCRIPTION/AUTHOR(S)
      parmest creates an output data set, with 1 observation per parameter 
of the
      most recent estimation results, and variables corresponding to 
parameter names,
      estimates, standard errors, z- or t-test statistics, P-values, 
confidence
      limits and other parameter attributes. parmby is a quasi-byable 
extension to
      parmest, which calls an estimation command, and creates a new data 
set, with 1
      observation per parameter if the by() option is unspecified, or 1 
observation
      per parameter per by-group if the by() option is specified. The 
output data
      set may be listed to the Stata log and/or saved to a file and/or 
retained in
      memory (overwriting any pre-existing data set).

      Author: Roger Newson
      Distribution-Date: 22july2003
      Stata-Version: 8

INSTALLATION FILES                                  (click here to install)
      parmest.ado
      parmest.hlp
      parmby.ado
      parmby.hlp
----------------------------------------------------------------------------------------------------------------------------

--
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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