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st: New version of -fvregen- on SSC
From
"Roger B. Newson" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: New version of -fvregen- on SSC
Date
Tue, 21 Feb 2012 11:28:23 +0000
Thanks once again 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 the user already has an old version of -fvregen-.
The -fvergen- package is described as below on my website. The new
version upgrades the -from(narname)- option to a -from(varlist)- option,
allowing the user to regenerate factors from expanded specific factor
varlist elements stored in multiple variables. As in
fvregen, from(parm idstr)
which extracts factors from the variables -parm- and -idstr-.
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.
---------------------------------------------------------------------------
package fvregen from http://www.imperial.ac.uk/nhli/r.newson/stata11
---------------------------------------------------------------------------
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: 19february2012
Stata-Version: 11
INSTALLATION FILES (click here to install)
fvregen.ado
fvregen.sthlp
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(click here to return to the previous screen)
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