similar to: untaring files in parallel with foreach and doSNOW?

Hi, I'm trying to get a package to pass through "R CMD check --as-cran" and have run into a problem that gives me no idea where to look to fix it. I'm running R version 15.1 on a Windows 7 64-bit machine, with the current set of Rtools. An attempt to check the package dies at the following step: * checking running R code from vignettes ... 'SIBER.Rnw'

Whas missing the R in the command line: "mpirun -n --hostfile /home/hostfile R --no-save -f rtest.R" Hope this helps mario On 13-Jan-11 22:08, Justin Moriarty wrote: > Hi, > Just wanted to share a working example of doSNOW and foreach for an openMPI cluster. The function eddcmp() is just an example and returns some inocuous warnings. The

Hi all, Within a foreach loop with doSNOW, we cant call functions which come from the non-default package. We need to load(require/library) the package once more within the foreach loop. Anyone knows why would happen like this? Is it caused by the snow package and something happened when "snow" parallelize the job? Other than load the package once more with in the foreach loop, is

The CRAN package snow is superseded by the parallel package which is distributed with R since version 2.14.0. Here are the release notes \item There is a new package \pkg{parallel}. It incorporates (slightly revised) copies of packages \CRANpkg{multicore} and \CRANpkg{snow} (excluding MPI, PVM and NWS clusters). Code written to use the higher-level API functions in those packages should

Hi I have managed to install MPICH2 and Rmpi on my Windows 7 machine. I can also run the following code > library(Rmpi) > mpi.spawn.Rslaves() 4 slaves are spawned successfully. 0 failed. master (rank 0, comm 1) of size 5 is running on: MyMaster slave1 (rank 1, comm 1) of size 5 is running on: MyMaster slave2 (rank 2, comm 1) of size 5 is running on: MyMaster slave3

Dear R help, I am trying to set up a cluster for parallel computing on a machine running 64-bit windows XP, using the doSNOW package on R 2.14.1. However, the command makeCluster() consistently makes the computer hang. No R processes are started, no CPU consumed, R just becomes unresponsive. ESC still terminates the command, but I cannot start the cluster. There seems to be quite a lot of posts

Hi I have managed to install MPICH2 and Rmpi on my Windows 7 machine. I can also run the following code > library(Rmpi) > mpi.spawn.Rslaves() 4 slaves are spawned successfully. 0 failed. master (rank 0, comm 1) of size 5 is running on: MyMaster slave1 (rank 1, comm 1) of size 5 is running on: MyMaster slave2 (rank 2, comm 1) of size 5 is running on: MyMaster slave3 (rank 3, comm

Oh, I completely missed that one. It's very neat as it seems to work both on Windows and Unix. Thanks! Xavier On 10/02/15 10:52, Martyn Plummer wrote: > The CRAN package snow is superseded by the parallel package which is > distributed with R since version 2.14.0. Here are the release notes > > \item There is a new package \pkg{parallel}. > > It incorporates (slightly

Dear list, When I run an R CMD check --as-cran on my package (pROC) I get the following note: > Uses the superseded package: ?doSNOW? The fact that it uses the doSNOW package is correct as I have the following example in an .Rd file: > #ifdef windows > if (require(doSNOW)) { > registerDoSNOW(cl <- makeCluster(2, type = "SOCK")) > ci(roc2,

Shouldn't -n be 4 in the bsub command? One master+3 slaves. This was required for snowfall, but I think doSNOW is similar. Hope it helps mario On 16-Dec-10 23:09, Marius Hofert wrote: > Dear expeRts, > > I try to get a minimal example for parallel computing via "foreach" + "doSNOW" to run on a computer cluster (Brutus from

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,

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 group, I am experimenting with parallel processing on my quad core Win 7 32 bit machine. Using these packages for the first time. I can see all my processor running at full performance when I use a smaller dataset require(snow) require(doSNOW) require(foreach) #change the 8 to however many cores\phys processors you have on your machine cl.tmp = makeCluster(rep("localhost",4),

Dear All, I have three classes of questions about generating random numbers with different packages (windows xp 32bit R). . 1. Suppose I would like to use package *foreach*, can I use current Sys.time as a seed? Although I can get the time up to1e-6 second precesion, the code below dose not work well on a local machine with two cores. ################# library(foreach) library(snow)

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

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

Dear useR's, today I stumbled over an interesting phenomenon: First, I created a named numeric vector with a certain class and several attributes via the structure() function. After that, I implemented a simple print method for this class. When calling this function it produces an endless loop of print calls until R crashes. :/ What is going on here? Is this a bug or have I done something

I get an error when using self-defined (not standard) functions with mapply with S4 objects from the raster package that I develop: "Error in as.character(sys.call(sys.parent())[[1]]) : cannot coerce type 'closure' to vector of type 'character'". Does anyone understand why? The problem is illustrated below. Thanks, Robert > # First a general example that works

Dear all, I have a problem with the command 'getURL' from the RCurl package, which I have been using to obtain a ftp directory list from the MOD16 (ET, DSI) products, and then to download them. (part of the script by Tomislav Hengl, spatial-analyst). Instead of the list of files (from ftp), I am getting the complete html code. Anyone knows why this might happen? This are the steps i

Dear expeRts, is it possible to carry out calculations between different foreach() calls? As for nested loops, you want to carry out calcuations not depending on the inner loop only once and not for each iteration of the innermost loop. Cheers, Marius library(foreach) foreach(i=1:3) %:% foreach(j=1:2) %do% { i <- i+1 print(paste(i,j)) } foreach(i=1:3) %:% i