similar to: rpvm/snow packages on a cluster with dual-processor machines

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

Hi All, Sorry if this is a repost (a quick browse didn't give me the answer). I wonder if there are packages that can do the feature selection and classification at the same time. For instance, I am using SVM to classify my samples, but it's easy to get overfitted if using all of the features. Thus, it is necessary to select "good" features to build an optimum hyperplane (?).

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?

Dear All, I've read Thomas Lumley's fortune "If the answer is parse() you should usually rethink the question.". But I am not sure it that also applies (and why) to other situations (Lumley's comment http://tolstoy.newcastle.edu.au/R/help/05/02/12204.html was in reply to accessing a list). Suppose I have similarly called functions, except for a postfix. E.g. f.1 <-

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 calling R from Perl with Statistics-R perl module for a microarray analysis integrated web tool. I have some questions for a multi-users utilisation: - Can I change the directory where R is running in order to have a directory per user? Then no problem of erasing R data of an other user. - If it's not possible, can I limite the number of users at the same time? I see

Is there a colinearty function implemented in R? I have tried help.search("colinearity") and help.search("collinearity") and have searched for "colinearity" and "collinearity" on http://www.rpad.org/Rpad/Rpad-refcard.pdf but with no success. Many thanks in advance, Peter Lauren.

Hi everyone, I am trying to cross-compile a package I wrote using the Yan and Rossini tutorial "Building Microsoft Windows versions of R and R packages using Intel Linux". I have got reasonably far with this but when doing the linking using the line: i586-mingw32-g++ -shared -s -o mylibrary.dll mylibrary.def mylibrary.o mylibrary_res.o

Hello everyone, I've been fiddling around with the snow and Rmpi packages on my new Intel Mac, and have run into a few problems. When I make a cluster on my machine, both slaves start up just fine, and everything works as expected. When I try to make a cluster including another networked machine it hangs. I've followed the suggestions at

Greetings! I have a few colleagues who like the idea of Sweave, but have failed to become enlightened monks of the One True Editor (http://www.dina.dk/~abraham/religion/) Are there any other Microsoft-centric editors or IDEs which have solid support for writing SWeave documents (dual R / LaTeX enhancements similar to ESS's support)? Has anyone tried the folding editors which support Noweb?

hi. i really need help using this program. computer language is a foreign language to me, and thus, i cannot make heads nor tails of the user manuals from the website. i need to locate step-by-step examples of simple problems such as "graph f(x)+g(x) and f(g(x)) for the domain 0<x<2" and "graph 2H(x), H(x)+1, H(x+1)" i do know how to define the functions, but

Dear Friends, I'm trying to learn to use parallel computation using snow & rpvm Now, I have two boxes: 1) Pentium 4, pvm 3.4.5, R 2.2.0 with FreeBSD 5.4 (box uffbsd); 2) PowerPC, pvm 3.4.5, R 2.1.1 with Debian Linux latest stable (box powerpclinux); I'm using the instructions in (found in snow.pdf) http://www.stat.uiowa. edu/~luke/R/cluster/cluster.html. Now ** from the box

Hi all, In Tibshirani's PNAS paper about nearest shrunken centroid analysis of microarrays (PNAS vol 99:6567), they used cross validation to choose the amount of shrinkage used in the model, and then test the performance of the model with the cross-validated shrinkage in separate independent testing set. If I don't have the luxury of having independent testing set, can I just use the

Dear all, not really a R question but: If I want to check for the classification accuracy of a LDA with previous PCA for dimensionality reduction by means of the LOOCV method: Is it ok to do the PCA on the WHOLE dataset ONCE and then run the LDA with the CV option set to TRUE (runs LOOCV) -- OR-- do I need - to compute for each 'test-bag' (the n-1 observations) a PCA

Dear All, I've got into the habit of installing R from the precompiled Debian binaries, including many of the packages from the r-cran-* Debian packages, and later building from source (e.g., to link against Goto's BLAS, or to build patched versions, etc). I install the newly built R to the very same place (/usr/lib/R). This allows me to build and update R when I wish, AND provides the

Hi Everyone, I have a question about for loops. If you have something like: f <- function(x) { y <- rep(NA,10); for( i in 1:10 ) { if ( i > 3 ) { if ( is.na(y[i-3]) == FALSE ) { # some calculation F which depends on one or more of the previously generated values in the series y[i] = y[i-1]+x[i]; } else { y[i] <- x[i]; } } } y } e.g. >

Hi Everyone, I have a question about for loops. If you have something like: f <- function(x) { y <- rep(NA,10); for( i in 1:10 ) { if ( i > 3 ) { if ( is.na(y[i-3]) == FALSE ) { # some calculation F which depends on one or more of the previously generated values in the series y[i] = y[i-1]+x[i]; } else { y[i] <- x[i]; } } } y } e.g. >

Dear R-devel, Inspired by Michael Li's talk at JSM, I decided to try rpvm and snow on our two linux boxes. It only took me a couple of hours of screwing around to get it working (sooner if I had RTFM). Our setup is: 2 dual PIII-866 Xeons, one with 2GB RDRAM, the other with 1.28GB RDRAM. The first machine is acting as the NIS/NFS server. both /usr and /home are exported to the second

Has anybody tried to use Rmpi with the OpenMPI library instead of LAM/MPI? LAM appears to be somewhat hardcoded in the Rmpi setup. Before I start to experiment with changing this, has anybody else tried Rmpi with non-LAM MPI implementations? Dirk -- Hell, there are no rules here - we're trying to accomplish something. -- Thomas A. Edison

Dear All, The "clients.txt" file of the latest Rserve package, by Simon Urbanek, says, regarding its R client, "(...) a simple R client, i.e. it allows you to connect to Rserve from R itself. It is very simple and limited, because Rserve was not primarily meant for R-to-R communication (there are better ways to do that), but it is useful for quick interactive connection to an