similar to: controlling where *.Rout gets printed. Possible?

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

On Fedora Core Linux 4, I have a cron job that causes R to update all packages and install new ones. Lately, I notice in the log that some packages fail to install. These are ones that assume X is running. For example, the pbatR install requires tcltk to be loaded, and then the install fails because in a cron job, there is no DISPLAY environment. I suppose the same happens if you try to

On Fedora Core Linux 4, I have a cron job that causes R to update all packages and install new ones. Lately, I notice in the log that some packages fail to install. These are ones that assume X is running. For example, the pbatR install requires tcltk to be loaded, and then the install fails because in a cron job, there is no DISPLAY environment. I suppose the same happens if you try to

Good day: I'm administering 6 linux systems (FC4) in a student lab and worry that users may want packages that are not installed. I get tired of adding them one by one. Then I happened upon this page http://support.stat.ucla.edu/view.php?supportid=30 about installing all R packages from CRAN. That did not run as it was, but after some fiddling I arrived at the following script, which

I''d like to be able to use a has_many :through association and treat the associations as a list but I''m getting this error when I try an use an acts_as_list method: NoMethodError: undefined method `move_to_bottom'' I''m using edge rails r6786. Here are my domain rules: Activities are things students can do. Units consists of a sequenced list of

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

If you have several different versions of R installed, you might want to use a script like this one, which should work on (at least) 1.9.1 and newer. <script> #!/bin/sh echo "##############" echo "## This script will attempt to install all available R packages" echo "## from the package repositories:" echo "##" echo "## - CRAN:

I see about 7 different R packages for multi-process parallel programming. Which do you think is the best, most complete, and most robust to pick for general purpose Erlang-style message-passing programming in R, and why? First here's my use case, and then my analysis so far. I often have code whose basic organization looks something like this: 1. Fetch step: For each date, gather up or

Hello I tried to load the taskPR-package in R, but it doesn't work at all. Everytime I try /library("taskPR")/, I get the error-message: Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library '/home/bw135690/R-2.4.1/library/taskPR/libs/taskPR.so': /home/bw135690/R-2.4.1/library/taskPR/libs/taskPR.so: cannot open shared object

I try to install RScaLAPACK on Ubuntu 6.10 and LAM 7.0.x Does anybody know a useful link top some how-to site about RScaLAPACK. Now I manage to get the package compiling, but the linker shows me lots of unsolved references: sudo R CMD INSTALL RScaLAPACK_0.5.1.tar.gz --configure-args="--with-mpi=/usr/lib/lam": * Installing *source* package 'RScaLAPACK' ... configure:

Dear R-dev, I would like to accelerate my R computation by using parallel OpenMP compilers (e.g from Pathscale) on a 2-processor AMD server and I would like to know whether R is a tread safe library. The main kernel of the OpenMP parallelization is a C SEXP function that performs the computational routine in parallel with: ******************* SEXP example(SEXP list, SEXP expr, SEXP rho) {

Hello, I'd like to take a look at how the taskPR package performs on our computational cluster, and this morning I've spend some time trying to do a test install of this package on one of our linux machines. Unfortunately I've been unsuccessful in completing the install, and I wondered if someone could please advise me. As I've noted I working on a linux machine, and it's

Hi all, I'm using RScalapack library for parallelizing some heavy matrix operations required by MCMC methods for spatio-temporal models. The package reference manuals (dated 2005) states that the library needs LamMPI to work but we have a Linux Cluster with OpenMPI. We have found (http://cvs.fedoraproject.org/viewvc/devel/R-RScaLAPACK/) a patch for OpenMPI but we are wondering if in the

I have Windows XP Professional Version 2002 and the R-Version 2.1.1. I want to do factor analysis with R. In Google Search I find the reference to the RScaLAPACK-Package, but my R-Version 2.1.1. told me that "RScaLAPACK is invalid package, bevor 2.0.0. installed" . Which package can I take for factor analysis? [[alternative HTML version deleted]]

Hi, I am trying to use the mimR Package. According to its help pages it needs the RDCOMClient package to run. When I try to evaluate a model I get > m.sat<-mim("..",data=gm.dat) Error in mim.cmd("clear; clear output") : couldn't find function "COMCreate" > m2.sat<-emfit(m.sat) Error in toMIM(mim$data) : Object "m.sat" not found >

This is a bug/misfeature report for R CMD check. The function tools:::.check_packages_used_in_tests Gives an apparently unintended error when checking the tests in the contributed package rcdd_1.1-3.tar.gz as found on CRAN. See the script below for details. The actual error reported is totally mysterious. * checking for unstated dependencies in tests ... NOTE Error in

I am getting several errors about Windows only packages when I use task views. Is this suppose to be a Windows-centric utility? Also, I am sure there must be a simple way to tell which packages are in a view, but I haven't found it. If there isn't, it would be nice to have. Paul Gilbert _______ install.views(c( "Multivariate", "Econometrics", "Finance",

Dear R developers, (Apologies about previous incomplete e-mail, I fat-fingered a keyboard shortcut)?? I recently upgraded to 3.2.3 and am getting mystifying errors with my in-development code (available at https://github.com/gertvv/gemtc/tree/feature/regression). Every few hundred LPs that I solve using the rcdd package will result in a SEGFAULT in the garbage collector (address 0x10, cause

Gert, On 16 December 2015 at 12:06, Gert van Valkenhoef wrote: | I recently upgraded to 3.2.3 and am getting mystifying errors with my | in-development code (available at | https://github.com/gertvv/gemtc/tree/feature/regression). Every few hundred | LPs that I solve using the rcdd package will result in a SEGFAULT in the | garbage collector (address 0x10, cause 'memory not mapped') or an

We've added a column at http://cran.r-project.org/web/checks/check_summary.html of test results using the Sun Studio compiler: it is intended that these will be updated weekly. The Sun Studio compiler is that used on Solaris: these runs were on the Linux version. All the other platforms are using gcc 4, so this provides an opportunity for checking for use of gcc-specific features and