Re: [R] Reasons to Use R

From: Schmitt, Corinna <Corinna.Schmitt_at_igb.fraunhofer.de>
Date: Thu 05 Apr 2007 - 15:35:50 GMT

Dear Mr. Isella,

I just started my PhD Thesis. I need to work with R. Good sources are Bioconductor (www.bioconductor.org). It is a DB based on R-programming. Another institute which has good experiences with R is the HKI in Jena, Germany. Perhaps you can contact Mrs. Radke to get more information or speakers for your workshop. Both parties are mainly for bioinformatics methods but perhaps can help you.

A good reason to use R is that computations are much quicker and you can import/export from many other programs or languages files.

Happy Easter,
C.Schmitt



Corinna Schmitt, Dipl.Inf.(Bioinformatik) Fraunhofer Institut für Grenzflächen- & Bioverfahrenstechnik Nobelstrasse 12, B 3.24
70569 Stuttgart
Germany

phone: +49 711 9704044
fax: +49 711 9704200
e-mail: Corinna.Schmitt@igb.fraunhofer.de http://www.igb.fraunhofer.de  

-----Ursprüngliche Nachricht-----
Von: r-help-bounces@stat.math.ethz.ch [mailto:r-help-bounces@stat.math.ethz.ch] Im Auftrag von Lorenzo Isella Gesendet: Donnerstag, 5. April 2007 17:02 An: r-help@stat.math.ethz.ch
Betreff: [R] Reasons to Use R

Dear All,
The institute I work for is organizing an internal workshop for High Performance Computing (HPC).
I am planning to attend it and talk a bit about fluid dynamics, but there is also quite a lot of interest devoted to data post-processing and management of huge data sets.
A lot of people are interested in image processing/pattern recognition and statistic applied to geography/ecology, but I would like not to post this on too many lists.
The final aim of the workshop is understanding hardware requirements and drafting a list of the equipment we would like to buy. I think this could be the venue to talk about R as well. Therefore, even if it is not exactly a typical mailing list question, I would like to have suggestions about where to collect info about:
(1)Institutions (not only academia) using R
(2)Hardware requirements, possibly benchmarks
(3)R & clusters, R & multiple CPU machines, R performance on different hardware.
(4)finally, a list of the advantages for using R over commercial
statistical packages. The money-saving in itself is not a reason good
enough and some people are scared by the lack of professional support, though this mailing list is simply wonderful.

Kind Regards

Lorenzo Isella



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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. Received on Fri Apr 06 01:58:15 2007

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