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st: New version of -fvregen- on SSC

From   "Newson, Roger B" <[email protected]>
To   "'[email protected]'" <[email protected]>
Subject   st: New version of -fvregen- on SSC
Date   Fri, 4 Sep 2009 19:22:46 +0100

Thanks to Kit Baum, a new version of the -fvregen- package is now available for download from SSC. In Stata, use the -ssc- command to do this, or -adoupdate- if you already have an existing version of -fvregen-.

The -fvregen- package is described as below on my website, and allows Stata 11 users to regenerate factor variables in a -parmest- output dataset (or resultsset). This allows the user to make confidence interval plots, where the confidence intervals are plotted against levels of the factor, including (if appropriate) a zero-width confidence interval for the reference level of the factor.

The new version of -fvregen- fixes a bug, which caused -fvregen- to fail if there were no factor variables to regenerate. The new version now notifies the user of the list of factor variables regenerated, or notifies the user to the effect that there were no factor variables to regenerate.

Best wishes


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
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected] 
Web page:
Departmental Web page:

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

package fvregen from

      fvregen: Regenerate factor variables in a parmest output dataset

      fvregen is intended for use in output datasets (or resultssets)
      created by the programs parmest or parmby.  These are part of the
      parmest package, which can be downloaded from SSC, and which create
      output datasets (or resultssets), with one observation per estimated
      parameter of a model fitted to an original dataset.  fvregen
      regenerates factor variables included in the model, using
      information from the parameter names.  Each regenerated factor
      variable has non-missing values in observations corresponding to
      parameters corresponding to levels of that factor, or to
      combinations of levels of that factor and other factors in products
      or interactions.  In each observation, the regenerated factors with
      non-missing values are the factors involved in the parameter
      corresponding to that observation, and their values are the values
      of the levels of these factors corresponding to that parameter.  The
      regenerated factors may have the same storage types, display
      formats, value labels, variable labels and variable characteristics
      as the factor variables of the same names in the original dataset,
      in which the model parameters were estimated.  This is made possible
      by running do-files created by the descsave package.  After the
      factors are generated, they can be listed, and/or used in confidence
      interval plots generated by the eclplot package, and/or merged to
      create a table row variable using the factmerg package.  The
      descsave, eclplot and factmerg package can all be downloaded from
      Author: Roger Newson
      Distribution-Date: 04september2009
      Stata-Version: 11

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