Blog Archives

R performance optimization

July 3, 2011
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The blog The Average Investors Blog R posted a nice report about accelerating a default Debian R installation and added some details about his benchmarks in the comment section

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New cloudnumbers.com release

June 27, 2011
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We are very proud to announce our cloudnumbers.com release number 5! In the last days we rolled out several releases and bug fixes. Cloudnumbers.com now supports many more features and has an optimized startup process. This is a list of our main and very important new features: Bioconductor packages for the R application can be

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The R Programming Wikibook

June 27, 2011
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Visit “The R Programming wikibook” to extend your knowledge about R and to get a lot of introductions how to use it. If you are an R expert and wish to contribute your knowledge and editing skills to the project, then you can learn how to write in wiki-markup and how to edit a wikibook.

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New Issue in the R Journal

June 23, 2011
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Today, the first issue of the third volume of The R Journal was published: http://journal.r-project.org/current.html. The R Journal intends to reach a wide audience and is one of the main communication media in the R community. Usually, two issues are published each year. This issue presents 10 interesting research articles especially introducing to new R

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New CRAN package for R package development: devtools

June 23, 2011
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Yesterday, Hadley Wickham released his new package “devtools” at the CRAN repository. A great R package which supports the development process of R packages. R Packages are the fundamental unit of reproducible R code. The development of R packages is a complex topic and requires several additional tasks next to R programming. For example, you

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Meet cloudnumbers.com at the UseR2011 conference in UK

June 21, 2011
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cloudnumbers.com provides researchers and companies with the resources to perform high performance calculations in the cloud. We currently focus on the well-known open-source statistics program R (http://www.r-project.org). R is a strongly functional language and environment for statistical computing. You can explore data sets, make graphical displays of data, run statistical simulations and much more. This

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