R help - Jul 2006 - References verifying accuracy of R for basic statisticalcalculations and tests

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.

Hope this helps,
Roland

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Please don't shoot!

q: would it be a good idea to use these datasets as a basis for some
regression tests?

Sean



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.
>
> Hope this helps,
> Roland
>
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>
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> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch 
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Prof 
> Brian Ripley
> 
> `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.
> 
Sorry for being a bit off-topic, but what would you recommend then to
convince people that the results of an analysis are correct?
Simulating data with the characteristics you want to "capture" in the
data, analyze those artifical data first and if everything goes well
proceed with your "real" data?

Thanks,
Roland

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