[R] R reports
Prof Brian Ripley
ripley at stats.ox.ac.uk
Thu Aug 19 13:02:25 CEST 2010
On Thu, 19 Aug 2010, ONKELINX, Thierry wrote:
> Dear Donald,
>
> I'm not sure what the meaning of '3G' and '4G' is. You should take a
I think he means 3GL, as in
http://en.wikipedia.org/wiki/Third-generation_programming_language
(and I've not heard the term used for 20 years now).
> look at Sweave() which is a very powerfull tool for generating reports
> in R.
>
> HTH,
>
> Thierry
>
> ------------------------------------------------------------------------
> ----
> ir. Thierry Onkelinx
> Instituut voor natuur- en bosonderzoek
> team Biometrie & Kwaliteitszorg
> Gaverstraat 4
> 9500 Geraardsbergen
> Belgium
>
> Research Institute for Nature and Forest
> team Biometrics & Quality Assurance
> Gaverstraat 4
> 9500 Geraardsbergen
> Belgium
>
> tel. + 32 54/436 185
> Thierry.Onkelinx at inbo.be
> www.inbo.be
>
> To call in the statistician after the experiment is done may be no more
> than asking him to perform a post-mortem examination: he may be able to
> say what the experiment died of.
> ~ Sir Ronald Aylmer Fisher
>
> The plural of anecdote is not data.
> ~ Roger Brinner
>
> The combination of some data and an aching desire for an answer does not
> ensure that a reasonable answer can be extracted from a given body of
> data.
> ~ John Tukey
>
>
>> -----Oorspronkelijk bericht-----
>> Van: r-help-bounces at r-project.org
>> [mailto:r-help-bounces at r-project.org] Namens Donald Paul Winston
>> Verzonden: donderdag 19 augustus 2010 8:53
>> Aan: r-help at r-project.org
>> Onderwerp: [R] R reports
>>
>>
>> I don't see much in the way of an ability to write reports in
>> R the way you can with SAS. You basically have to write a
>> program with R in a 3G way unlike SAS with it's 4G proc print
>> and proc report.
>>
>> Are there similar R functions and packages?
>> --
>> View this message in context:
>> http://r.789695.n4.nabble.com/R-reports-tp2330733p2330733.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
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>>
>
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--
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
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