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
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
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
This week we rolled out a new release at cloudnumbers.com which implements two new main features: cloudnumbers.com now supports Batch processing. Due to some changes in the architecture we were able to reduce our system requirements. In detail, we do not need that much open ports in your firewall. Please check our updated System Requirements
Today, programmers have to deal with multi-core and multi-computer technologies. Several people claim that software developers are far behind hardware technologies. My two favorite posts for this statement are Editor’s Desk: Software Lags Behind Hardware, But That’s a Good Thing A Hacker’s Craic -Why is software so far behind hardware? Parallel computing is not that
It was an exciting useR2011 conference at the University of Warwick, Coventry, UK. Thanks a lot to the local organizing and program committee for having this great conference. I enjoyed the variety of talks, the poster session and the conference dinner and everything within walking distance. In view of HPC for R I learned: The
Very often scientists are worried about performance and security in cloud computing. Especially, when talking about High-Performance Computing (HPC) in the cloud it is a very important aspect to proof efficient calculation speed in the cloud. Cloud computing describes a new delivery model for IT services based on Internet protocols, and it typically involves provisioning
RStudio™ is an integrated development environment (IDE) for the statistical software R (www.r-project.org). It combines an intuitive user interface with powerful coding tools to help you get the most out of R. cloudnumbers.com provides researchers and companies with the access to resources to perform high performance calculations in the cloud. One often used application at cloudnumbers.com’s
This week in our blog we started a list of great R code (www.r-project.org) snippets: http://cloudnumbers.com/what-is-your-favorite-r-feature We are going to extend this list with several more nice R features. Please feel free to add comments with your favorite R code snippets. Descriptive statistics: A huge set of tools to describe and explore data is available
R (www.r-project.org) is a free and strongly functional language and environment for statistical computing. You can explore data sets, make graphical displays of data, run statistical simulations and many more. If you never used R you should give it a try! R beginners: There are many courses, slides and tutorials available for R beginners. We
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
