similar to: build R on windows

***Summary:*** I'm setting up a cluster using netWorkSpace, and I'm having issues with the sleigh initialization. My R function to initialize the sleigh succeeds and the sleigh appears to be ready, but I get apparently conflicting information from "status(s)", "rankCount(s)", and "s"; and basic sleigh functions cause the sleigh to hang indefinitely. Also,

All, We are researching approaches to parallel R with the end goal of running R in a distributed manner on a Linux cluster. We expect of course to do some work decomposing our problems to be task-parallel or data-parallel, but wouldn't mind getting an initial boost working with "embarrassingly parallel" code sections and one of the approaches below. Incidentally our environment

Hi, I am using the caretNWS package to train some supervised regression models (gbm, lasso, random forest and mars). The problem I have encountered started when my training data set increased in the number of predictors and the number of observations. The training data set has 347 numeric columns. The problem I have is when there are more then 2500 observations the 5 sleigh objects start but do

I see about 7 different R packages for multi-process parallel programming. Which do you think is the best, most complete, and most robust to pick for general purpose Erlang-style message-passing programming in R, and why? First here's my use case, and then my analysis so far. I often have code whose basic organization looks something like this: 1. Fetch step: For each date, gather up or

R-exts says Both install.R and R_PROFILE.R should be viewed as experimental; the mechanism to execute code before attaching or installing the package may change in the near future. With the other facilities available as from R 2.0.0 they should be removed if possible. Every usage of these on CRAN is unnecessary. If you want to save the image, say so in the SaveImage field in

Hello at all ! What is the correct form to give a list form R (e.g. list(c(-1,1), "TestFile") ) to C. I have no problems, if I don't use character and I have also no problems to give a character vector form R to C. But, if I combine real and strings in a list then I don't know the correct syntax. I try it with following (an example): SEXP writeFile(SEXP headerR){ Image

Hi, I am using caretNWS on a RHEL x86_64 system and I am getting an error message that is nearly identical to the one occuring in http://www.r-project.org/nosvn/R.check/r-release-macosx-ix86/caretNWS-00check.txt Error in socketConnection(serverHost, port = port, open = "a+b", blocking = TRUE) : unable to open connection Calls: system.time ... .local -> tryCatch -> tryCatchList

According to R-exts: The second purpose for @file{install.R} is to hold code that needs to be executed each time the package is attached, after the image is loaded. Few packages have a need for such code so @file{install.R} is normally an empty file. The optional file @file{R_PROFILE.R} is executed before the code in the @file{R} subdirectory and should be used to set up an

Hello dear R-help group (and David Smith from REvolution), I would like to perform parallel computing using R with Condor (hopefully using foreach or other recommended solutions, if available) for some "Embarrassingly parallel" problem. I will start by listing what I found so far, and then go on asking for help. So far I found the a manual by Xianhong Xie from Rnews_2005-2 (see page

Hi I Can't connect to the Oracle database, any tips? Has anybody actually got ROracle up and running on windows? >> unable to find an inherited method for function "dbConnect", for signature "OraDriver" I can happily connect to the same database through RODBC. Oracle client, version 9.2 installed, amongst others. Sean > library(DBI) > library(ROracle)

Dear all, I usually run R on my laptop with Windows XP Professional. Now I really want to run R on a computer cluster (4 processors) with Suse Linux Enterprise ver. 10. But I am new with computer cluster. Should I modify my functions in order to use the greater performance and availability than that provided by my laptop? Is there any R manual on parallel computations on

Guys, I'm running R on both Windows & Linux. I'm looking at a number of packages for parallel execution. It seems that the most used packages are "snow" and "Rmpi". snow seems more user friendly, but it doesn't run on windows. I see from searching the mailing list that I'm not the first one to try it on Windows. There was a message that kind of shed some

Howdy all... Reading with interest the thread(s) about REvolution, package licensing and the requirements of the GPL. First of all, let me introduce myself?. ?I joined REvolution Computing in February, after working for nearly 4 years for Intel as an open source strategist and before that for 6 years at Sun, where I established the first corporate open source programs office. ?I'm a Member of

Hi Everybody, I know that R has snow package which can be used for Parallel Computing. However, every time I try making a cluster, the only type of cluster I'm able to make is the "SOCK" (that too because I disabled the firewalls). For the rest (i.e. MPI, NWS, and PVM), I get error every time I try making one. I get the following errors

Hello, The problem I'm working now requires to operate on big matrices. I've noticed that there are some packages that allows to run some commands in parallel. I've tried snow and NetWorkSpaces, without much success (they are far more slower that the normal functions) My problem is very simple, it doesn't require any communication between parallel tasks; only that it divides

Hi, I'd like to unsubscribe from the list. Thanks Neyra ________________________________ De: "r-help-request@r-project.org" <r-help-request@r-project.org> Para: r-help@r-project.org Enviado: sáb, octubre 30, 2010 5:30:07 AM Asunto: R-help Digest, Vol 92, Issue 31 Send R-help mailing list submissions to r-help@r-project.org To subscribe or unsubscribe via the

Ah yes. There they are right on page 4 of "Writing R Extensions". The "LazyLoad: yes" was sufficient to avoid the check errors, but I'll add the "Depends: methods" as well. For the manual-impaired like me, it _may_ be worth reiterating these two requirements in section 1.6.6 "Name spaces with formal classes and methods" - right where the .onLoad

I'm trying to sort out some best practices for package development and understand some behavior of R CMD check that has me confused. Best practice question: If a package foo appears in the Depends field in the DESCRIPTION file of mypkg, should I refrain from using require(foo) in the R source files of mypkg? The Writing R Extensions manual says this about the Depends field: ... the

http://www.wunderground.com/weather/api/ -----Original Message----- From: asterisk-users-bounces at lists.digium.com [mailto:asterisk-users-bounces at lists.digium.com] On Behalf Of dk at donkelly.biz Sent: Wednesday, December 16, 2015 9:20 AM To: 'Asterisk Users Mailing List - Non-Commercial Discussion' Subject: Re: [asterisk-users] weather.agi -----Original Message----- From:

Dear R-devel, REvolution appear to be offering ParallelR only when bundled with their R Enterprise edition. As such it appears to be non-free and closed source. http://www.revolution-computing.com/products/parallel-r.php Since R is GPL and not LGPL, is this a breach of the GPL ? Below is the "GPL and ParallelR" thread from their R forum. mdowle > It appears that ParallelR