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Re: st: Request regarding conversion of Stata code
From
"Roger B. Newson" <[email protected]>
To
[email protected]
Subject
Re: st: Request regarding conversion of Stata code
Date
Mon, 03 Jun 2013 10:26:50 +0100
Thanks to Andrew for the plug for -rsource-. For -rsource- users,
converting datasets from Stata to R and back is the easy part, as the R
community has 2 packages -read.dta- and -write.dta- which can read and
write Stata datasets directly, and which seem to be updated promptly
following each new Stata version. There should therefore be no need for
intermediate .csv files.
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.
On 01/06/2013 09:37, [email protected] wrote:
Hello Mike,
Another option is to use Roger Newson's -rsource- from SSC to run
blocks of R code from inside Stata. This allows you to at least
document/log the entire analysis in one place, but can sometimes
require outputting .csv files from Stata and then importing into R, so
not always the most efficient options, but might get it done.
cheers-
Andrew Lover
______________________________________________
Epidemiologist
Centre for Infectious Disease Epidemiology Research (CIDER)
Saw Swee Hock School of Public Health
National University of Singapore
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