On Fri, 14 Jul 2006, Sean O'Riordain wrote: > Please don't shoot! > > q: would it be a good idea to use these datasets as a basis for some > regression tests?
See package NISTnls > On 14/07/06, Rau, Roland <[EMAIL PROTECTED]> wrote: > > Hi, > > > [mailto:[EMAIL PROTECTED] On Behalf Of Corey Powell > > > > > > Do you know of any references that verify the accuracy of R > > > for basic statistical calculations and tests. The results of > > > these studies should indicate that R results are the same as > > > the results of other statistical packages to a certain number > > > of decimal places on some benchmark calculations. > > > > I don't know of any references, but maybe you can somehow "verify the > > accuracy of R" by running some analysis with the "NIST Statistical > > Reference Datasets"; the URL is http://www.itl.nist.gov/div898/strd/ > > So maybe you can run the analyses mentioned there and say that R > > (hopefully) returned the correct results. `Correct' as in `as obtained by NIST'? It is a considerable assumption that the reference results are 'correct' or 'accurate'. I learnt from my work with analytical chemists that the outlying result could be the only reasonably accurate one: all the other analysts had made the same error. > > Hope this helps, > > Roland -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
