Thanks to Kit Baum, a new package -fvregen- is now available for download on SSC. In Stata, use the -ssc- command to do this.
The -fvregen- package is described as below on my website. It is the Stata 11 package that supersedes the old Stata 10 -factext- package, and regenerates factor variables in a -parmest- or -parmby- output dataset (or resultsset), possibly in combination with the -descsave- package. Note that, in Stata 11, the -parmest- outset contains observations corresponding to reference levels of factors, with zero-width confidence intervals for zero differences (or ratios of one). This is useful if the user wants to create a confidence interval plot with confidence intervals for the differences (or ratios) between mean outcomes for levels of a factor, compared to the reference level of that factor, and including a zero-width confidence interval for the reference level itself. This was always an awkward operation in Stata 10 with -factext-, but is now easy in Stata 11.
I would like to thank Vince Wiggins and Alan Riley of StataCorp (again) for their helpful advive on the development of this package, and, also, all at StataCorp for the new Stata 11 with the new factor variable lists.
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: [email protected]
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 fvregen from http://www.imperial.ac.uk/nhli/r.newson/stata11
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TITLE
fvregen: Regenerate factor variables in a parmest output dataset
DESCRIPTION/AUTHOR(S)
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
SSC.
Author: Roger Newson
Distribution-Date: 10august2009
Stata-Version: 11
INSTALLATION FILES (click here to install)
fvregen.ado
fvregen.sthlp
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