st: New version of -smileplot- on my website

[Roger Newson <roger.newson@kcl.ac.uk>]

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 http://www.kcl-phs.org.uk/rogernewson/

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

--
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: roger.newson@kcl.ac.uk

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

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