Ocorreu um erro neste gadget

sexta-feira, setembro 18, 2009

Porque o R é melhor que o S?

A Quick Guide to Teaching R Programming to Computational Biology Students

Stephen J. Eglen*

Cambridge Computational Biology Institute, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom

Introduction: Why Use R in Computational Biology? Top

The name “R” refers to the computational environment initially created by Robert Gentleman and Robert Ihaka, similar in nature to the “S” statistical environment developed at Bell Laboratories (http://www.r-project.org/about.html) [1]. It has since been developed and maintained by a strong team of core developers (R-core), who are renowned researchers in computational disciplines. R has gained wide acceptance as a reliable and powerful modern computational environment for statistical computing and visualisation, and is now used in many areas of scientific computation. R is free software, released under the GNU General Public License; this means anyone can see all its source code, and there are no restrictive, costly licensing arrangements. One of the main reasons that computational biologists use R is the Bioconductor project (http://www.bioconductor.org), which is a set of packages for R to analyse genomic data. These packages have, in many cases, been provided by researchers to complement descriptions of algorithms in journal articles. Many computational biologists regard R and Bioconductor as fundamental tools for their research. R is a modern, functional programming language that allows for rapid development of ideas, together with object-oriented features for rigorous software development. The rich set of inbuilt functions makes it ideal for high-volume analysis or statistical simulations, and the packaging system means that code provided by others can easily be shared. Finally, it generates high-quality graphical output so that all stages of a study, from modelling/analysis to publication, can be undertaken within R. For detailed discussion of the merits of R in computational biology, see [2].

3 comentários:

Anônimo disse...

Professor vc não vem dar sua aula e fica postando no blog!!
Nem avisa..
Quem avisa amigo é..
Alunos da USP-RP

Anônimo disse...


Osame Kinouchi disse...

Prezado aluno anônimo, eu avisei sim, mas acho que você não foi na aula...

Caro outro anônimo:

Sinto informa-lo que tem curso de pos-graduação em Ciências da Religião:


Programa Recomendado Pela Capes
O Programa de Pós-graduação em Ciências da Religião da Universidade Metodista de São Paulo recebeu a nota 6 da CAPES/MEC na avaliação trienal 2004-2006, assumindo o lugar da mais bem avaliada Pós-graduação em Ciências da Religião e entre os mais bem avaliados Programas de Pós-graduação do Brasil . Dentre os aspectos significativos desta conquista está o status de ser reconhecido como referência internacional na Área.

Nivel 6? Putz, o FAMB é nivel 5... Snif.