Thanks to Kit Baum, a new version of -eclplot- is now available for
download from SSC. (In Stata 8, use the -ssc- command to do this.)
The -eclplot- package is described as below on my website. In the new
version, I have publicised in the help file a pre-existing capability
(recently discovered) to weight the estimate marker sizes (and the
confidence limit marker sizes if applicable) by a variable or expression,
and updated the dialog to allow the user to do this in dialog mode. This
update should be useful for making Cochrane forest plots for meta-analyses,
in which the estimate marker is often weighted by the study size.
I would like to thank all at StataCorp for producing their dialog language
and also for releasing their very latest executable (downloadable as of
yesterday), which fixes an awkward bug in the way Stata graphics routines
used to handle weights.
Best wishes
Roger
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package eclplot from http://www.kcl-phs.org.uk/rogernewson/stata8
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TITLE
eclplot: Horizontal and vertical confidence interval plots
DESCRIPTION/AUTHOR(S)
eclplot creates a plot of estimates with lower and upper confidence
limits
on one axis against another numeric variable on the other axis. The
estimates
and lower and upper confidence limits are stored in three variables,
in a
data set with one observation per confidence interval to be plotted.
Data
sets with such variables may be created manually (using a spreadsheet),
or using the parmest package, or using statsby or postfile in
official Stata.
The user has a choice of plotting the confidence intervals
horizontally or
vertically, and a choice of range plot styles for the confidence
intervals,
and may also overlay the confidence interval plot with other plots
using the
plot option. The user may use eclplot either as a command or using a
dialog.
Author: Roger Newson
Distribution-Date: 05october2004
Stata-Version: 8
INSTALLATION FILES (click here to install)
eclplot.ado
eclplot.hlp
eclplot.dlg
eclplot_98s.dlg
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(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: [email protected]
Website: http://www.kcl-phs.org.uk/rogernewson
Opinions expressed are those of the author, not the institution.
