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st: New version of -smileplot- on my website

From   Roger Newson <>
Subject   st: New version of -smileplot- on my website
Date   Thu, 28 Nov 2002 12:57:40 +0000

Dear All

The very latest version of the -smileplot- package is now available for download from my website, which can be accessed from within Web-aware Stata 7 by typing

net from

The new version has also been emailed to SSC, and will presumably be downloadable from there after Kit Baum returns (thanks in advance to Kit).

The -smileplot- package takes, as input, a data set with 1 observation per estimated parameter and data including the corresponding P-values, carries out a multiple test procedure on the multiple P-values, and plots the P-values (on a reverse log scale) on the Y-axis against the corresponding parameter estimates (or another variable) on the X-axis. The new version has an improved help file (incorporating suggestions kindly provided by Nick Cox) and also the option of suppressing the reference line on the X-axis corresponding to the value of a parameter under the null hypothesis. The second improvement is useful for plotting P-values against a variable other than the corresponding parameter estimates. For instance, in a genome scan, the data points might correspond to genes, the P-values might be from tests of associations of those genes with a disease, and the X-axis variable might be the positions of those genes on a chromosome.

I would like to thank Nick Cox for his very helpful advice re the best possible SMCL style for my .hlp file. Unfortunately, I didn't implement his tip about using SMCL's West European accented characters (see -[P] smcl-), because these do not seem to be working, at least in the text fonts available in my Stata. (I use the Stata 7 executable of 11 June 2002 and the ado-files of 8 November 2002 under Windows 98/SE.)

Best wishes


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

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

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