similar to: unexported symbols in libR.so of r-devel

I am trying to install the rpvm package doing this: C:\R\rw2000\bin>rcmd install rpvm_0.6-2.tar.gz '.' is not recognized as an internal or external command, operable program or batch file. '.' is not recognized as an internal or external command, operable program or batch file. make: *** /rpvm: No such file or directory. Stop. make: *** [pkg-rpvm] Error 2 *** Installation of

I tried ot build rpvm in my own makefile. But runs into some linker errors like e.g. undefined reference to `_R_alloc' My enviornment looks like this: CYGWIN pvm 3.4 compiled under cygwin myself R installed from the rw2001.exe setup file. I guess that the R under rw2001.exe was build with some other compiler? I then tried to compile R myself under CYGWIN but runs into the following

Hello, I'm trying to install the rpvm package under Windows, but I am having problems. I have pvm3.4 installed properly. I've defined the system variables PVM_ROOT = C:\PROGRA~1\pvm3.4\ PVM_ARCH = win32 When I try to install, I get this: C:\R\Packages>Rcmd INSTALL rpvm_1.0.1.tar.gz ---------- Making package rpvm ------------ **********************************************

I've trying to fix the check error in rpvm package. Right now on my Mac, I use darwinport to install PVM and I can get rpvm to pass the check using 'R -arch x86_64 CMD check'. However the default 'R CMD check' uses i386 which fails since PVM is built for x86_64 only. So is there a way to ensure proper architecture is used that matches that of the external library like PVM?

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

Hi, does anybody know how to use the dual processors in the machines of a cluster? I am using R with rpvm and snow packages. I usually start pvm daemon and add host machines first, and then run R to start my computing work. But I find that only one processor in each machine is used in this way and the other one always stays idle. Is there any simple way to tell pvm to use the two processors at

Thanks to Luke Tierney, Agustin Lobo, Stephen Eglen, A.J. Rossini, Simon Wood and Timothy H. Keitt for responding to my question about poor man's parallel processing. Much of the substantive material was cc'ed to r-help already, but my take is as follows. 1) Currently, there is nothing "simple" for solving my problem. 2) I thought that Timothy Keitt's description of the use

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

Caveat: I've only played with this a couple of years ago... I believe you can just add each host _twice_ (or as many times as the number of CPUs at that host) to get both CPUs to work. Andy From: Paul Y. Peng > > Hi, > > does anybody know how to use the dual processors in the > machines of a cluster? I am using R with rpvm and snow > packages. I usually start pvm

Almost all of the heavy crunching I do in R is like: > for(i in long.list){ + do.something(i) + } > collect.results() Since all the invocations of do.something are independent of one another, there is no reason that I can't run them in parallel. Since my machine has four processors, a natural way to do this is to divide up long.list into 4 pieces and then start 4 jobs, each of which

I upgraded from Fedora Core 4 to Fedora Core 5 and I find a lot of previously installed packages won't run because shared libraries or other system things have changed "out from under" the installed R libraries. I do not know for sure if the R version now from Fedora-Extras (2.2.1) is exactly the same one I was using in FC4. I see problems in many packages. Example, Hmisc: unable

Make the msgqueue_0148cdec_acr_func and msgqueue_0148cdec_func static to avoid the following sparse warnings: drivers/gpu/drm/nouveau/nvkm/falcon/msgqueue_0148cdec.c:230:1: warning: symbol 'msgqueue_0148cdec_acr_func' was not declared. Should it be static? drivers/gpu/drm/nouveau/nvkm/falcon/msgqueue_0148cdec.c:241:1: warning: symbol 'msgqueue_0148cdec_func' was not declared.

How do you get around the problem of having tests for functions that are not exported in NAMESPACE? It seems rather self-defeating to have to export everything so that 'R CMD CHECK pkg' won't crash when it encounters a test case for an internal function. I don't want someone using the package to call the function, but the package itself should be able to see its own contents.

I need to access some internal function of a package temporarily. These functions normally that are not visible outside of the package. I know the MyPackage:::myfunction mechanism, but that does not solve my problem. Instead, I need to add the "internal namespace" of the package to the search path, then I can run a few commands with these functions available, and then the internal

Hi, I installed the snow package on a unix box that has multiple cores. To be able to exploit the multiple cores (on one pc) do I still need to install the rmpi package (or rpvm). Another question, if i run a bayesian simulation on the multiple core after setting them up correctly (using snow), would you think there will be a noticeable speedup gain. Thanks, Saeed --- linux centos 4 dual core

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 All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

Hello, I have a question that I was wondering if anyone had a fairly straightforward answer to: what is the quickest and easiest way to take advantage of the extra cores / processors that are now commonplace on modern machines? And how do I do that in Windows? I realise that this is a complex question that is not answered easily, so let me refine it some more. The type of scripts that I'm

OK, my journey to make lab machines automagically install & update all desirable R packages is nearing an end! The only question I have now is this: How can I control where the system prints the *.Rout file that is created automatically when the R batch program runs. In "man R" I don't find any information about it. When the cron job runs "R_installAll.sh" (see

Hello R enthusiasts, I am working with a Fedora Core 6 OS and R 2.5. I have just finished loading PVM on my test cluster and this is working properly. Also, rpvm has been loaded in R. However, when I try to load my test program, I receive this error: Loading required package: rpvm Error in dyn.load(x, as.logical(local), as.logical(now)) ; unable to load shared library