[R] Reasons to Use R

Schmitt, Corinna
Thu, 05 Apr 2007 15:35:50 -0000

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 f?r Grenzfl?chen- & Bioverfahrenstechnik
Nobelstrasse 12, B 3.24
70569 Stuttgart
Germany

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



-----Urspr?ngliche Nachricht-----
Von: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at
stat.math.ethz.ch] Im Auftrag von Lorenzo Isella
Gesendet: Donnerstag, 5. April 2007 17:02
An: r-help at 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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