similar to: Munich R Course - Parallel Computing with R

Hello, I have this kind of dataframe and have to plot it. data <- data.frame(sw= c(1,2,3,4,5,6,7,8,9,10,11,12,15), zehn = c(33.44,20.67,18.20,18.19,17.89,19.65,20.05,19.87,20.55,22.53,NA,NA,NA), zwanzig = c(61.42,NA,26.60,23.28,NA,24.90,24.47,24.53,26.41,28.26,NA,29.80,35.49), fuenfzig =

Hello, I want to use expresso for preprocessing the hgu133a-spikein data from affycompII. But there is an error: > library(affy) > path <- "z:/Microarray/hgu133a-spikein/rawdata" > celFile <- list.celfiles(path=path,full.names=TRUE); > affyBatch <- ReadAffy(filenames=celFile[1:6]); > eset1 <-

Hello, I try to write an extension in C, to get a faster functions. Therefore I have to add an element (vector) to a vector. The command in R is very simple: x = c(x,a) But in C I have the problem to reallocate my vector for getting more space. Everything I tried, I get a "Segmentation fault". So, how can I combine two vectors in C and give the result back to R (return(x))? Thanks

Hello, which possibilities are available in R for simultaneous or parallel computing? I only could find biopara (http://cran.r-project.org/src/contrib/Descriptions/biopara.html) Are there other possibilities? Are there special groups working on simultaneous computing with R? Thanks Markus -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universit?t M?nchen IBE - Institut f?r

Anyone using or has access to ParallelR? I was looking at the page and found nothing really useful! http://www.revolution-computing.com/sitegenius/topic.php?id=195 I want to see if I can run R on a cluster of workstation, and use batch systems like Grid Engine or Xgrid: http://gridengine.sunsource.net/ http://ww.apple.com/acg/xgrid/ --Chi

Hello, I built a package, everything was working very well. Now I included a NAMESPACE to export only some variables. (export(f, g, ...) ) Everything is working fine, except one function. There I get an error: Fehler in UseMethod("open") : keine anwendbare Methode f?r "open" In this function I use the function "open" to generate an output bar. * if (verbose) {

Hello, I try to write parts of my code in C to accelerate the for-loops. But basic operations I want to do in R (e.g. start cluster). My R code looks something like this: library(Rmpi) mpi.spawn.Rslaves() mpi.remote.exec(....) dyn.load("test.so") erg <- .Call("test", ....) .... mpi.close.Rslaves() mpi.quit() And my C function looks something like this: #include

Hi, I am using a cluster with LAM 7.1.3/MPI 2 and R 2.6.0. Rmpi version 0.5-5 is working very well. Now I have tested "Rmpi 0.5-6". During spawning the Rslaves I get an error: MPI_Error_string: error spawning process > sessionInfo() R version 2.6.0 (2007-10-03) x86_64-unknown-linux-gnu locale:

Hello, is there any function in the package snow to check for a really running cluster? The function checkCluster only checks the variable cl. And the variable is still available after stopping the cluster! ( a simple solution would be deleting the cluster variable cl in the function stopCluster) > library(snow) > cl <- makeCluster(5) 5 slaves are spawned successfully. 0

Hello, we are doing some computations with MPI and Rmpi. Therefore papply is a very comfortable function. Is it possible to reuse calculated data on slaves? We do some calculation with papply, then we have to do some overall calculation at the master then we want to do some calculation on the slaves with the old results and some new results from the master. We do not want to send all data

Hello, the package snow is not working on a windows cluster with MPICH2 and Rmpi. There is an error in makeCluster: launch failed: CreateProcess(/usr/bin/env "RPROG="C:\Programme\R\R-2.5.1\bin\R" "OUT=/dev/null" "R_LIBS=" C:/Programme/R/R-2.5.1/library/snow/RMPInode.sh) on 'cl1' failed, error 3 - Das System kann den angegbenen Pfad nicht finden. I

Hello *, sorry if i missed an article which already solves my problem. I need a working configuration of OpenSSH for Solaris 7 (SunOS 5.7) with AFS support. PAM support to use the AFS PAm module `pam_afs.so' and TCP-Wrapper support would be nice. It would be nice to have similar configurations for Solaris 6 (SunOS 5.6), Solaris 8 (SunOS 5.8) and Solaris 2.5.1. I have tested a few

Dear R community, cloudnumbers.com provides researchers and companies with the resources to perform high performance calculations in the cloud. As cloudnumbers.com's community manager I may invite you to register and test R on a computer cluster in the cloud for free: http://my.cloudnumbers.com/register Our aim is to change the way of research collaboration is done today by bringing together

Dear R-listers, I have been using Snowfall (version 1.84) for parallel computing on a quad-PC running Windows 7 for a month or so without much problem. I started having problems runnnig R with Snowfall over our network when a new Novell client was installed for Windows 7. I experinenced network mapping problem with this new client. Our network colleague provided a fix which worked but a little

Dear all, I am trying to execute the simple example in snowfall http://cran.r-project.org/web/packages/snowfall/vignettes/snowfall.pdf ... require(snow) require(snowfall) sfInit( parallel=TRUE, cpus=2 ) sfLapply( 1:10, exp ) sfStop() I have installed the snow and snowfall packages in R on a machine with windows xp, however, after running the "sfInit( parallel=TRUE, cpus=2 )" line I

On 13/09/2017 9:10 AM, David Brayford wrote: > Hi Duncan, > > The output of gsl-config --version > 2.3 > > The output of gsl-config --cflags > -I/lrz/sys/libraries/gsl/2.3/include > > The output of gsl-config --libs > -L/lrz/sys/libraries/gsl/2.3/lib -lgsl -lgslcblas -lm > > gsl_version.h cat output > #define GSL_VERSION "2.3" > #define

Greetings, I am trying to use Reference Class methods in Snowfall, using R 2.12.1 on Ubuntu Natty. Using then directly seems to work (stanza 2 below), but using them indirectly does not (stanza 3 below). I get an "attempt to apply non-function" error. In addition to exporting the instance of the object I created to the Snowfall slaves, I also made several attempts to export the

A new version of the 'snow' package for parallel computing in R is available at http://www.stat.uiowa.edu/~luke/R/cluster/snow_0.3-3.tar.gz This substantially revises the way in which worker processes are started to allow snow to be used on Windows and Mac/Windows/Linux combinations. I have successfully used the SOCK version on a standalone Windows machine and combinations of

Dear Ola, I cannot say anything about Windows 7, as we do not have any Win7 machines here in our institute and I even do not know someone who have Win7 on a private machine. I will try to find a machine with this OS and test it. Anybody having experiences with Win7 yet? Greetings Jo > -------- Original Message -------- > Subject: [R] snowfall on Win7 > Date: Tue, 15 Dec 2009 11:25:37

Hello, I'm new to R and I'm building a system that uses a cluster of computers to parallelize computations. To handle cluster setup I'm using the R package Snowfall, but knowledge of Snowfall may not be necessary to answer my question. I'm using a socket-based approach to cluster setup, so all I need to do is give Snowfall a vector of hostnames and it handles the rest. The problem