The Quality & Accuracy of R
That's a great idea. I know of no commercial vendors who provide such detailed info. Bob -----Original Message----- From: Gabor Grothendieck [mailto:ggrothendieck at gmail.com] Sent: Monday, January 26, 2009 7:52 PM To: Muenchen, Robert A (Bob) Cc: R-help at r-project.org Subject: Re: [R] The Quality & Accuracy of R It would be possible to develop tools to develop code coverage statistics quantifying the percent of the code that the tests exercise. On Fri, Jan 23, 2009 at 10:04 AM, Muenchen, Robert A (Bob)
<muenchen at utk.edu> wrote:
Hi All, We have all had to face skeptical colleagues asking if software made
by
volunteers could match the quality and accuracy of commercially
written
software. Thanks to the prompting of a recent R-help thread, I read,
"R:
Regulatory Compliance and Validation Issues, A Guidance Document for
the
Use of R in Regulated Clinical Trial Environments (http://www.r-project.org/doc/R-FDA.pdf). This is an important
document,
of interest to the general R community. The question of R's accuracy
is
such a frequent one, it would be beneficial to increase the visibility of the non-clinical information it contains. A document aimed at a general audience, entitled something like, "R: Controlling Quality and Assuring Accuracy" could be compiled from the these sections: 1. What is R? (section 4) 2. The R Foundation for Statistical Computing (section 3) 3. The Scope of this Guidance Document (section 2) 4. Software Development Life Cycle (section 6) Marc Schwartz, Frank Harrell, Anthony Rossini, Ian Francis and others did such a great job that very few words would need to change. The
only
addition I suggest is to mention how well R did in, Keeling & Parvur's "A comparative study of the reliability to nine statistical software packages, May 1, 2007 Computational Statistics & Data Analysis,
Vol.51,
pp 3811-3831. Given the importance of this issue, I would like to see such a
document
added to the PDF manuals in R's Help. The document mentions (Sect. 6.3) that a set of validation tests, data and known results are available. It would be useful to have an option
to
run that test suite in every R installation, providing clear progress, "Validating accuracy of t-tests...Validating accuracy of linear regression...." Whether or not people chose to run the tests, they
would
at least know that such tests are available. Back in my mainframe installation days, this step was part of many software installations
and
it certainly gave the impression that those were the companies that
took
accuracy seriously. Of course the other companies probably just ran their validation suite before shipping, but seeing it happen had a tremendous impact. I don't know how much this would add to download, but if it was too much, perhaps it could be implemented as a separate download. I hope these suggestions can help mitigate the concerns so many non-R users have. Cheers, Bob ========================================================= Bob Muenchen (pronounced Min'-chen), Manager, Research Computing Support U of TN Office of Information Technology Stokely Management Center, Suite 200 916 Volunteer Blvd., Knoxville, TN 37996-0520 Voice: (865) 974-5230 FAX: (865) 974-4810 Email: muenchen at utk.edu Web: http://oit.utk.edu/research <http://oit.utk.edu/scc> Map to Office: http://www.utk.edu/maps Newsletter: http://listserv.utk.edu/archives/rcnews.html <http://listserv.utk.edu/archives/statnews.html> ========================================================= [[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.