similar to: Snow Package and SPRNG: Will it solve my problem?

When I try to install Rmpi, it has a dependency rsprng which, as its description says: Provides interface to SPRNG 2.0 APIs I installed it on Mepis by installing the appropriate debs with minimal drama. In the rpm world of Fedora, no such luxury. Installing rsprng fails because: checking sprng.h usability... no checking sprng.h presence... no checking for sprng.h... no Cannot find sprng 2.0

<<insert bug report here>> I cannot install the R package "rsprng" with the following error message: > install.packages("rsprng") trying URL 'http://www.stathy.com/cran/src/contrib/rsprng_0.3-4.tar.gz' Content type 'application/x-tar' length 35934 bytes opened URL ================================================== downloaded 35Kb * Installing

Hi All, I have k identical parallel pieces of code running, each using n.rand random numbers.? I would like to use the same RNG (for now), and set the seeds so that I can guarantee that there are no overlaps in the random numbers sampled by the k pieces of code.? Another side goal is to have reproducibility of my results.? In?the past I have used C with SPRNG for this task, but I'm hoping

Hello! I am performing coupling of chains in MCMC and I need the same value of seed for two chains. I will show demo of what I want: R code, which might show my example is: niter <- 3 nchain <- 2 tmpSeed <- 123 for (i in 1:niter) { # iterations for (j in 1:nchain) { # chains set.seed(tmpSeed) a <- runif(1) cat("iter:", i, "chain:", j,

Dear People, This may not be the right place to ask a question about Rmpi, but I don't know of a better one. I am trying to get a simple program working using Rmpi with the model of 1 R master and n C slaves. What I am trying to do is have each of the C slaves generate a random number from U[0,1], and then have the master collect all n numbers as a vector and output it. However even doing

Hi, I was trying to install the package Rmpi on a hpc cluster running SGE. The command, and the sessionInfo() is as follows: =========================================== > install.packages("Rmpi",dependencies=TRUE) also installing the dependency ‘rsprng’ trying URL ' http://www.ibiblio.org/pub/languages/R/CRAN/src/contrib/rsprng_1.0.tar.gz' Content type

Although this query was inspired by distributed random number generation, one of the questions (#2 below) is a single-machine issue. I call C++ code from R to generate simulated data. I'm doing this on a cluster, and use rmpi and rsprng. While rsprng randomizes R-level random numbers (e.g., from runif), it has no effect on the C code, which is completely SPRNG and MPI ignorant. Currently I

Hi all, I'm trying to get the snow package with mpi working on my linux ubuntu 10.04 machine. When I tried to install it (see below) it already had problems with the dependencies. R version 2.14.0 (2011-10-31) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You

?Random.user says (in svn trunk) Optionally, functions \code{user_unif_nseed} and \code{user_unif_seedloc} can be supplied which are called with no arguments and should return pointers to the number of seeds and to an integer array of seeds. Calls to \code{GetRNGstate} and \code{PutRNGstate} will then copy this array to and from \code{.Random.seed}. And it offers as an example void

Hello, I plan to use R with my cluster with OpenMPI. I need the packaged 'snow' and 'Rmpi' for that, however, I get an error while downloading and installing them: When I do a: install.packages("Rmpi", dependencies=T) I get this error: checking for mpi.h... no Try to find libmpi.so or libmpich.a checking for main in -lmpi... no libmpi not found.

Full_Name: Emmanuel Charpentier Version: 1.6.1 OS: Linux 2.4.20 / Debian Woody Submission from: (NULL) (80.15.78.96) rsprng depends on libraries available in the "genesis" package. However, even when Genesis is installed, the installation of the source package fails for not finding rsprng.h. It turns out that Debian installs it in a subdirectoru of /usr/include, and that the rsprng

The proper use of SPRNG is a little unclear to me in each of these packages, even more so when I put them all together. My immediate question: in snow I did clusterSetupSRNG. If a later want to (re) set the system to a known seed, how do I do it? That is, I want each distributed process to recreate exactly the same random numbers that it did before; I assume SPRNG assures the streams are

Hi, I am having a problem with installing Rmpi package on redhat linux machine. The R I am using is version 2.10.1. Here’s what happens. > install.packages( ''Rmpi'' ) --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL ''http://cran.cnr.Berkeley.edu/src/contrib/Rmpi_0.5-9.tar.gz'' Content type

After reading the help page on set.seed, I am unsure about how to solve the following problem. I need to call function f a thousand times. The list of values returned by f, should be as random as possible. f calls g twice: f <- function(){g1 <- g(1); g2 <- g(2); c(g1; g2)} The function g in turn calls sample and returns a number, but also depends on its argument, so, starting from the

Dear R-help, Has anyone tried running R on a Beowulf-type cluster? I can get R to run in batch (using R CMD BATCH) on a cluster, but am wondering if it is possible to get an interactive R session on a compute node. Right now, if I run: beorun --nolocal R I just get the R start-up message and back to the shell prompt. If I try bpsh 0 R I can get R started (but the R prompt does not

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)

I am trying to run a monte carlo process using snow with a MPI cluster. I have ~thirty processors to run the algorithm on and I want to run it 5000 times and take the average of the output. A very simple way to do this is to divide 5000 by the number of processors to get a number n and tell each processor to run the algorithm n times. I realize there are more efficient ways to manage the

Dear List I just downloaded and installed R 2.12.0 and then installed R Commander . First it got RCmdr and Car, and then suggested for other packages for utilizing the full functionality- I clicked yes! I got 140 packages installed!!! Cran Mirror was UCLA... Here is the list. Is this intentional- I can see some packages like snow and multicore which are desirable but quite optional.(see list

Dear R-users, Does anyone of you have binary files for the packages rpart.permutation, snow and rsprng. I would like to use them in my classification tree. I know they are still at the 0.x development stage, though. Where can I get information on how to compile tar.gz files? I'm using windows XP with R 2.1.0. Thanks, Jan --------------------------------------------------------------------

Hi, When loading a package that provides the user-supplied RNG hook user_unif_rand, calling getNativeSymbolInfo("user_unif_rand") returns informations about the loaded symbol. I am using this to identify which package currently provides the RNG hook. The results are the same on windows and linux if only one library provides the hook. If one loads a second package that provides this