similar to: Ubuntu, Revolutions, R

It appears that the revoluton-mkl package, available via the multiverse Ubuntu repository with the purpose of adding multi-threaded numeric libraries to R, is not function correctly with R 2.13 (at least the version found on CRAN). Testing with "R-benchmark-25.R" (found at http://r.research.att.com/benchmarks/), I get the following error, after installing the revolution-mkl package

So I have two Dell power-edge machines running latest Ubuntu (13.04) with latest version of R (3.01). I installed revolution-mkl on one machine (T-410) and it works fine. On the second machine (T-620), it says the latest version of revolution-mkl is installed, but I'm getting no multi-processor functioning (R-benchmark-25.R) runs on a single processor and takes same amount of time

I write about R every weekday at?http://blog.revolution-computing.com . In case you missed them, here are some articles from the month of April of particular interest to r-help subscribers. Thanks to everyone who has been following the blog and sending me messages and/or leaving comments -- it always brightens my day to hear from readers! http://tinyurl.com/cy7x9a?(from April 1) announced the new

Revolution Analytics staff write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of January: Princeton's Germ?n Rodr?guez has published a useful "Introduction to

I write about R every weekday at http://blog.revolution-computing.com . In case you missed them, here are some articles from last month of particular interest to R users. http://bit.ly/tygLz announced the release of the "foreach" and "iterators" packages on CRAN, for simple scalable parallel programming in R. http://bit.ly/FDS67 linked to Thomas Levin's Joy-Division-esque

Start the REvolution without me... http://danesecooper.blogs.com/divablog/2009/10/start-the-revolution-without-me.html *From Danese Cooper's Blog* Some of you may have become aware of REvolution Computing<http://revolution-computing.com/>, a commercial open source company organized around the R Language<http://www.r-project.org/>, when I joined in March

Dear users, The company where I work is considering getting a license for Revolution Enterprise - Windows 64-bit. I'll appreciate for those familiar with the product if can share your experiences with it? In particular, how does it compare to the "free" version of R 64-bit? Thanks in advance. Regards, Lars. [[alternative HTML version deleted]]

Does anyone know any more than is in the following press release about REvolution Computing and their commercialization of R? http://www.intel.com/capital/news/releases/080122.htm "Intel Capital, the global investment arm of Intel Corporation, today announced that it has invested in the Series A financing of REvolution Computing, creator of parallel computing software for computational

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post here a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of July: A simulation in R finds the value (or disadvantage) or drawing an X, J, Q or Z in Scrabble:

Hi, everybody. Sorry to bring up the subject again but I have visited the revolution computing web page, but its not clear when or what will be the new release be. Does anybody have information about that?. Does anybody know if the version that will be released will be validated?. I have been reading the previous mails about validation and I work in a Pharma company and validation is a big

Hi, I have seen a lot of problems from people trying to compile R with MKL. So I am writing my experience in case it helps and to ask one question. I installed R-2.8.1.patched in Ubuntu 9.04 (gcc 4.3.3) using MKL 10.1.1.019. I configured correctly (following MKL userguide) with : sudo ./configure --with-blas="-I/opt/intel/mkl/10.1.1.019/include -L/opt/intel/mkl/10.1.1.019/lib/em64t

Hi, I have seen a lot of problems from people trying to compile R with MKL. So I am writing my experience in case it helps and to ask one question. I installed R-2.8.1.patched in Ubuntu 9.04 (gcc 4.3.3) using MKL 10.1.1.019. I configured correctly (following MKL userguide) with : sudo ./configure --with-blas="-I/opt/intel/mkl/10.1.1.019/include -L/opt/intel/mkl/10.1.1.019/lib/em64t

I write about R every weekday at the Revolutions blog: http://blog.revolution-computing.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. http://bit.ly/9GoTVd announced the availability on YouTube of "What is R", a 4-part video based on a recent webcast I hosted. http://bit.ly/bVSSaH announced a webinar I hosted on

Hello all, I came across<http://www.r-bloggers.com/performance-benefits-of-linking-r-to-multithreaded-math-libraries/> David Smith's new post Performance benefits of linking R to multithreaded math libraries<http://blog.revolutionanalytics.com/2010/06/performance-benefits-of-multithreaded-r.html> Which explains how (and why) REvolution distribution of R uses different BLAS math

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. So, in case you missed them, here are some articles related to R from the month of June: http://bit.ly/9gNq5J noted that the program for the annual R user conference, useR! 2010, has been

Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of December: Hadley Wickham's Shiny app for making

Using: natty alpha-2 Could anyone englighten me (or point me to a self-enlightment page) as to why when installing R using: > apt-get install revolution-mkl r-revolution-revobase revolution-r r-base-core There are 4 library paths available (installed by default): > .libPaths() [1] "/usr/local/lib/R/site-library" "/usr/lib/R/site-library" [3]

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of August: A contest to showcase applications of R for businesses is offering $20,000 in prizes from Revolution

I know this is not a revolution support forum, but as anyone noticed the following? I have a foreach loop to generate random samples. If I run the exact code below in normal r (2.14.1) it works as expected, but if I run it from revolution 4.2.0 each loop returns the same numbers. The only way I can get revolution to give different numbers is using 1 instead of 8 in registerDoSNOW(makeCluster(8,

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month (usually) I post a summary of articles from the previous month of particular interest to readers of r-help. I somehow missed this past January, though, so here are selected highlights from January and February: Abstracts for presentations, posters and lightning talks for useR! 2011 are due