similar to: help with random numbers and Rmpi

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

Dear R People: I'm having trouble installing Rmpi on a debian machine. Here is my output: bccd at node000:~$ /bccd/home/bccd bccd at node000:~$ bccd at node000:~$ export RMPI_TYPE=OPENMPI bccd at node000:~$ R CMD INSTALL Rmpi_0.5-9.tar.gz * installing to library '/bccd/home/bccd/R/x86_64-pc-linux-gnu-library/2.15' * installing *source* package 'Rmpi' ... checking for gcc...

<<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, 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

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.

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

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

Hello and thanks in advance for your time. I currently have a simulation running on my cluster with the help of snow that relies on global variables being changes regularly to random values. It uses these values, lets call them x1 x2 and x3, in custom functions for logliklyhood and score that gets used in the standard optim function. To get set in the global table on the different

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

?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

I'm fairly astute at C and R but new to parallelization. Would someone be willing to provide help in the form of a simple example that parallelizes an R function from the inside of a C routine? If so, write me back at izmirlig at mail.nih.gov Thanks!

Hi, folks @ freebsd-security. First, I am not sure if this is apropriate topic for that list, so sorry, if it is not. Some time ago I have read rfc1948 (protection from blind TCP spoofing) and became interested in the way how it is implemented in FreeBSD. After some googling (BTW if you like Google you might be interested in this: http://register.spectator.ru/img/bart.gif ), I found this:

Dear all, I have used the Rmpi package many times before however this time I've installed it as I always do with openMPI tar.gz file direct from the website. I'm installing on my ubuntu 8.10. Linux 2.6.27-11-generic #1 SMP Thu Jan 29 19:28:32 UTC 2009 x86_64 GNU/Linux All i get is: > library(Rmpi) Segmentation fault :~$ Which dumps me back into the shell, and doens't give me much

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

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

Rmpi is not currently available on CRAN, and I don't think it has been for a few months. It is available at http://www.stats.uwo.ca/faculty/yu/Rmpi/ Does anyone know its current status? A few months ago I corresponded with the author, who noted some build problems (specifically on Debian) were the hang up, and seemed to be working on it. I wasn't able to get it to work then (on a

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,

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

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

Oops. Seems I only sent this to myself. T. -------------- next part -------------- An embedded message was scrubbed... From: "Timothy H. Keitt" <tklistaddr at keittlab.bio.sunysb.edu> Subject: Re: [R] Multithreading Date: 16 Apr 2002 12:34:52 -0400 Size: 2091 Url: https://stat.ethz.ch/pipermail/r-help/attachments/20020416/dd6c9385/attachment.mht