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st: New version of -eclplot- on SSC

From   Roger Newson <[email protected]>
To   [email protected]
Subject   st: New version of -eclplot- on SSC
Date   Wed, 06 Oct 2004 17:33:02 +0100

Hello All

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


package eclplot from

eclplot: Horizontal and vertical confidence interval plots

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)
(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]

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

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