similar to: How to use doSMP(revoIPC) with R 2.15.x version

Hi list, I was testing out the "doSMP" package from REvolutionR in my regular R2.11.0 installation and I got the following error message.? Well, one obvious thing is that R2.11.0 was built using "i386-pc-mingw32" which is different from what revoIPC used.? I could just use REvolutionR, but all my R peripherals were set up to work with the regular R2.11.0.? So, I really want

Hello, I am having trouple installing doSMP and revoIPC from: https://r-forge.r-project.org/R/?group_id=950 My Linux system: Linux 2.6.35-25-generic #44-Ubuntu SMP Fri Jan 21 17:40:44 UTC 2011 x86_64 GNU/Linux Ubuntu 10.10 \n \l I get this reply: costas at ELEPHANT:~/Downloads$ sudo R CMD INSTALL revoIPC_1.0-3.tar.gz * installing to library ?/home/costas/R/x86_64-pc-linux-gnu-library/2.11? *

Hello dear list, I just noticed that: Package ‘doSMP’ was removed from the CRAN repository. http://cran.r-project.org/web/packages/doSMP/index.html Does any one know the reason for this? Is this a technical or a legal (e.g: license) issue? Thanks, Tal ----------------Contact Details:------------------------------------------------------- Contact me: Tal.Galili@gmail.com | 972-52-7275845

Some might have noticed that REvolution Computing released the doSMP package to the general public about a month and a half ago, which allows multiple cores to be accessed for parallel computation in R. Some of our physical habitat calculations were taking an extraordinary amount of time to complete and required over-weekend runs, which prompted our interest in this package. What follows

My parallel code is running slower than my non-parallel code! Can someone pls advise what am I doing wrong here? t and tTA are simple matrices of equal dimensions. #NON PARALLEL CODE nCols=ncol(t) nRows=nrow(t) tTA = matrix(nrow=nRows,ncol=nCols) require(TTR) system.time( for (i in 1:nCols) { x = t[,i] xROC = ROC(x) tTA[,i]=xROC } ) user system elapsed 123.24 0.07 123.47 #

Hi, I would like to get suggestion about parallel computing package on a multicore windows workstation. I tried doSMP, but it crashes R a lot. I am wondering if "snow" and "snowfall" can be used on a single workstation (i,e, not cluster). At suggestion would be appreciated, Best, Richard [[alternative HTML version deleted]]

Hi all, I would like to parallelize some R code and would like to use the 'foreach' package with a foreach loop. However, whenever I call a function from an enabled package outside of MASS, I get an error message that a number of the functions aren't recognized (even though the functions should be defined). For example: library(foreach) library(doSMP) library(survival) # Create the

Hello, How can I convert Close colume of the below xts time series data into a list of Close values ? I'd like to plot Close values as a list. > head(zc) Close (10/15/12 09:00:00) 252.40 (10/15/12 09:01:00) 253.10 (10/15/12 09:02:00) 253.15 (10/15/12 09:03:00) 253.30 (10/15/12 09:04:00) 253.25 (10/15/12 09:05:00) 253.45 I tried the below command to plot it.

foreach (or virtually anything you might use for concurrent programming) only really makes sense if the work the "clients" are doing is substantial enough to overwhelm the communication overhead. And there are many ways to accomplish the same task more or less efficiently (for example, doing blocks of tasks in chunks rather than passing each one as an individual job). But more to the

Hello, I am trying to run a small example with foreach, but I am having some problems. Here is the code: *library(doMC) registerDoMC() zappa = list() frank = list() foreach (i = 1:4) %dopar% { zappa[[i]] = kmeans (iris[-5],4) frank[[i]] = warnings() }* The code runs without error. However the zappa and frank will be empty lists. If I use regular *for *instead, the list will be filled up

Hi, in R 2.12.1, R CMD check hangs when building a vignette that uses a foreach loop with the doMC parallel backend. This does not happen in R 2.13.1, nor if I use doSEQ instead of doMC. All versions of multicore, doMC and foreach are the same on both my R installations. Has anybody encountered a similar issue? Thank you. Renaud ### UNIVERSITY OF CAPE TOWN This e-mail is subject to the

?I want to take advantage of my multicore CPU to speed up a loop in a simulation program.? I didn?t write the code, but the iterations appear independent to me, at least in the sense that the results of one loop do not depend on previous ones.? Right now I?m relegated to a Windows box that runs Windows 7.? These appear to be the options: ? Pnmath-appears to parallelize non-BLAS routine but

Dear R-List member, I have a problem when I'm trying to save two arrays from a foreach-loop. I'm also not sure whether this is possible or just my inexperience. However, this works perferctly fine with a for-loop. Here is an example code - any help is much appreciated!!: ############ n.vpn = 2 n.run= 3 # create to empty matrices sme = matrix(NA,4,n.vpn) test = matrix(NA,4,n.vpn) #

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]]

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

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 March: The doSMP package, which enables parallel processing for R on multiprocessor machine, is now available on

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

Here is another minor release. Thanks to the Translation Project for the several updated translations. Sergey ----------------------------------------------- Artur Dryomov (1): symbols/typo: rework typographic layout. Sergey Udaltsov (9): Add support for Latinamerican Dvorak layout added lk(us) fixed the license (removed GPL) Removed GPLv3 line Fixed

I'm not sure this is the location to pose this question.  If not, please let me know.   Does anyone know if R 2.15 is can be built for Ubuntu 12.04? ( I did attempt a build and it failed to configure due to missing X11 headers/libs. )   I'm trying to install some R packages that are not available for R 2.14, which is the last supported version available under Ubuntu 12.04.   I can update

Hello I am running R versions 2.13 and 2.15. One of my codes run ok on 2.13 but on 2.15. I have tried to understand what is wrong but come up with nothing. Here is the code rm(list=ls()) graphics.off() library(R.matlab) library(zoo); library(xts); library(lattice); library(hydroGOF); a=readMat("exemplo_narmax_Aimores_MISO.mat")