References verifying accuracy of R for basic statisticalcalculations and tests
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 <Rau at demogr.mpg.de> wrote:
Hi,
[mailto:r-help-bounces at stat.math.ethz.ch] 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, ripley at stats.ox.ac.uk 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