If you're writing C++ code and want to generate random numbers, you might not be aware that R provides an API to call the R RNG functionality directly. The Rcpp package's "syntactic sugar" feature makes this process easier, by automating the process of translating a subset of ordinary R code into compiled C++ code. That means you can write...
Posts Tagged ‘ high-performance computing ’
Ryan Rosario on Parallel programming in R
Earlier this year data scientist Ryan Rosario gave a talk on parellel computing with R to the Los Angeles R User Group, and he recently made the slides from the talk available online. They're a great resource for anyone looking to make use of multi-processor systems a Hadoop based architechure to speed computations with big data. Ryan's talk was...
R Journal, June 2012
The June 2012 issue of the R Journal, the peer-reviewed open-journal about R packages and applications of R, is now available. This issue includes articles about: Efficiently calling C functions from R without the need for wrapper code Using clusters of Macs running Apple Xgrid for parallel distributed processing with R Semi-automated text classification with the 'maxent' package Two...
New Data Science Packages Coming To Computational Journalism Server
I’ve just received an announcement from Michael Lang that packages BatchJobs and BatchExperiments have been added to the Comprehensive R Archive Network (CRAN). From the announcement: The package BatchJobs implements the basic objects and procedu...
Accelerating analytics at MSU with Revolution R Enterprise
Erik Sigur, Information Technologist for the Department of Statistics and Probability at Michigan State University, writes at ReadWriteWeb about using Revolution R Enterprise to provide high-performance computation in R to the researchers in his department: Our search for a more effective version of R ultimately brought us to a product called Revolution R Enterprise by Revolution Analytics, which provides...
Interview with Kai Chew, CloudStat
Here is an interview with Kai Chew, Founder of Cloudstat. CloudStat is developing a cloud-based statistical platform to help researchers who want to make sense of data to do statistical analysis collaboratively with its high performance computing infra...
ConPA uses cloudnumbers.com as calculation backend
ConPA is an asset allocation application using the classic Markowitz approach. For the calculations the open-source statistical programming language R is used. R scripts are executed on cloudnumbers.com’s computer clusters in the Cloud and the results are displayed by ConPA frontend. ConPA allows to set the investment date of the portfolio, the target return and
Announcing Revolution R Enterprise 5.0
We're proud to announce the latest update to the enhanced, commercial-grade distribution of R, Revolution R Enterprise 5.0. With each new release, Revolution R Enterprise adds more capabilities to open-source R, to make R users more productive, to improve performance of R programs, to support Big Data analytics, and to provide servers and APIs for enterprise deployment. New features...
The next generation of parallel R
In view of open-source parallel computing with R this week presents a big step to the future. R 2.14.0 was released at October 31th, 2011. Now, R base ships with a parallel computing package called “parallel”. library(parallel) It combines advantages of the packages multicore and snow and it contains support for multiple RNG streams. The
Batch Processing vs. Interactive Sessions
We introduced batch processing 3 weeks ago. Many people asked about differences and benefits of batch processing or interactive sessions. Lets start with the definitions: Batch Processing / Batch Jobs: Batch processing is the execution of a series of programs or only one task on a computer environment without manual intervention. All data and commands
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
