search for: rlecuy

...change (same pointer address) and the package data is NULL. See results for both systems below. I tested this with R 2.12.1, 2.13.0 and 2.13.1 on Windows. Is this a normal behaviour for dll loaded on Windows? Thank you. Renaud ##################### # LINUX ##################### > library(rlecuyer) > getNativeSymbolInfo("user_unif_rand") $name [1] "user_unif_rand" $address <pointer: 0x7ff55acffed0> attr(,"class") [1] "NativeSymbol" $package DLL name: rlecuyer Filename: /home/renaud/R/x86_64-pc-linux-gnu-library/2.12/rlecuyer/libs/rlecuye...

...he minimal example below): ,---- | > Loading required package: Rmpi | Loading required package: grDevices | Loading required package: grDevices | Loading required package: grDevices | Loading required package: grDevices | 4 slaves are spawned successfully. 0 failed. | Loading required package: rlecuyer | Error in .lec.SetPackageSeed(seed) (from #11) : | Seed[0] >= -930997252, Seed is not set. `---- What's the problem? How can I construct a valid seed for l'Ecuyer's rng with just the information in .Random.seed? Thanks & Cheers, Marius Here is the minimal example: requ...

R-users, I can't tell what's causing the following error. The vignette does not make a reference to a "packages" option or parameter. > library(MonteCarlo) Loading required package: abind Loading required package: codetools Loading required package: rlecuyer Loading required package: snow Loading required package: snowfall > infest_kud_fun<-function(x,A,B){ +?? equation1=exp(A-(B*x)) +?? return(list("equation1"=equation1)) + } > x_grid<-c(0.5,10) #distances kudzu could grow > A_grid<-rnorm(1000) #probabilities >...

...chain: 1 runif: 0.28758 iter: 2 chain: 1 runif: 0.7883 iter: 3 chain: 1 runif: 0.40898 iter: 1 chain: 2 runif: 0.28758 iter: 2 chain: 2 runif: 0.7883 iter: 3 chain: 2 runif: 0.40898 iter: 1 chain: 3 runif: 0.28758 iter: 2 chain: 3 runif: 0.7883 iter: 3 chain: 3 runif: 0.40898 I was looking in 'rlecuyer', 'rsprng' and 'setRNG', but did not find anything usable for me. From reading on http://sprng.cs.fsu.edu/ 'rsprng' provides just opposite of what I want, 'rlecuyer' is a bit to technical for me, but I think it also doesn't give identical seed for parall...

...sole is dark red [normal behavior if R is running], so R tries to do something, but cannot succeed. CPU goes up to 100%... Same happens if I start the job from the command line via R CMD BATCH. What's going on? Is this a known issue? Cheers, Marius library(doSNOW) library(Rmpi) library(rlecuyer) library(foreach) cl <- makeCluster(mpi.universe.size(), type ="MPI") tmp <- clusterSetupRNG(cl, seed=rep(1,6)) registerDoSNOW(cl) counter <- 0 res <- foreach(k = 1:1000) %do% { counter <- counter + 1 } tmp <- stopCluster(cl) unlist(res)

...t; > I can't tell what's causing the following error. The vignette does not > make a reference to a "packages" option or parameter. > > > library(MonteCarlo) > Loading required package: abind > Loading required package: codetools > Loading required package: rlecuyer > Loading required package: snow > Loading required package: snowfall > > > infest_kud_fun<-function(x,A,B){ > + equation1=exp(A-(B*x)) > + return(list("equation1"=equation1)) > + } > > > > x_grid<-c(0.5,10) #distances kudzu could grow >...

...If the user herself loads a shared library that contains such a function, some of the functionalities of all the corresponding packages are broken. When writing my paper I found the following packages on CRAN that abuse this interface (meanwhile there might be more packages): randaes_0.1.tar.gz rlecuyer_0.1.tar.gz rsprng_0.3-1.tar.gz rstream_1.1.tar.gz SuppDists_1.0-13.tar.gz what makes the situation even more complicated is the fact that some of these packages are loaded automaticall by other packages. For example, package 'rlecuyer' is loaded by snow_0.2-1.tar.gz snowFT_0.0-1.tar.gz...

...use the exact same computation method, using a template argument for the RNG, and providing wrappers for the different available RNGs, except for the rngOpenMP that is not instantiable, so I adapted specifically the code. I included in the benchmark: - the c implementation used by the R package Rlecuyer - the (GNU) random_r RNG available on GNU/linux systems and that is reentrant - my RcppRandomSFMT,wrapping a modified version of the SIMD-oriented Fast Mersenne Twister (SFMT) Random Number Generator provided by http://www.agner.org/random Randomc - rngOpenMP I tried to include the rsprng...

...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 below) Regards Ajay 'slam' 'fBasics' 'bitops' 'Rglpk' 'snowFT' 'rlecuyer' 'rsprng' 'nws' 'tweedie' 'gtools' 'gdata' 'caTools' 'Ecdat' 'ergm' 'latentnet' 'degreenet' 'shapes' 'snow' 'RColorBrewer' 'statmod' 'cubature' 'kinship' 'gam...

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

...()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > install.packages("rlecuyer",depen=TRUE) Installing package into ‘/home/erin/lib/R/library’ (as ‘lib’ is unspecified) --- Please select a CRAN mirror for use in this session --- trying URL 'http://cran.at.r-project.org/src/contrib/rlecuyer_0.3-3.tar.gz' Content type 'application/x-gzip' length 11756 byt...

...ease excuse my rather terrible programming skills. I am always open to suggestions. Below the example I describe what methods I have tried (which is the reason for all of the unnecessary library calls). >library(snow) library(snowfall) library(boot) library(lme4) library(multicore) library(rlecuyer) dat<-read.table("http://www2.fiu.edu/~adick/downloads/toy2.dat", header = T) nboot<-1000 attach(dat) x<-dat[,2] y<-dat[,4] z<-dat[,3] subj<-dat[,1] m2.ph.fun<-function(data,i) { d<-data d$y<- d$fitted+d$res[i] as.numeric...

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

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

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

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

On Friday, 26 June 2020 10.47.13 WEST I?aki Ucar wrote: > I used bcond locally and wrongly assumed that fedpkg build would > support --with BCOND and --without BCOND. Instead, the way to activate > it is to change to "%bcond_with check" and then revert to > "%bcond_without check". The only difference with bootstrap is that > "bootstrap" is recognized

...----------------------- # test_cluster.r # # R script to test the parallelization capability. # This uses rgenoud and external processes outside of R, and file I/O. # These are the key characteristics of work with stand-alone models. library(snow) # Simple Network of Workstations #library(rlecuyer) # for random number generator library(rgenoud) # calibrator of choice # Set the working directory--must be an absolute pathname. Also put this statement inside # drive.calib(), the function that is called by genoud(). I cannot get genoud() to pass this # as an argument without breaking. wor...

...* R-rappdirs * R-R.cache * R-rcmdcheck * R-RColorBrewer * R-Rcompression * R-Rcpp * R-RcppCCTZ * R-RCurl * R-R.devices * R-readr * R-readxl * R-rematch * R-rematch2 * R-remotes * R-repr * R-reprex * R-reshape * R-reshape2 * R-reticulate * R-rex * R-rgdal * R-rgeos * R-rhub * R-RInside * R-rlang * R-rlecuyer * R-RM2 * R-rmarkdown * R-R.methodsS3 * R-Rmpfr * R-ROC * R-RODBC * R-R.oo * R-roxygen2 * R-rprintf * R-rprojroot * R-R.rsp * R-Rsamtools * R-rsconnect * R-Rsolid * R-RSQLite * R-rstudioapi * R-rsvg * R-rtracklayer * R-RUnit * R-R.utils * R-rversions * R-rvest * R-S4Vectors * R-sandwich * R-scale...

I have recently upgraded to Ubuntu Gutsy and, for the first time, am using a 64-bit installation. After failing miserably to install R from source, not a problem for me in the past with a 32-bit install, I went the route of using the Debian Etch build. This went smoothly, but I am unable to update my numerous R and BioConductor packages, getting non-zero exit status errors on each package. Is