search for: taskpr

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-...

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...

...eem to be: A. Snow (with Rmpi or Rpvm) (as described in http://www.r-project.org/useR-2006/Slides/Harrington+Salibian-Barrera.pd f from the 2006 R User Conference) It is my understanding that this approach is viable, and works with OpenMPI 1.2.4. Is anyone using this method with good results? B. taskpR, RScaLAPACK, pMatrix I read a paper http://sdm.lbl.gov/sdmcenter/projects/SDM.center.parallel.r.2-pager.4.do c coming out of the ORNL, describing what they call "parallel R", which included taskpr, RScaLAPACK, pMatrix. I notice that taskpR is no longer available in "contrib", n...

...it. - biopara: Not suitable, simple one-way master/slave communication only, just like papply. - snow: Not directly suitable, the supported communication is intended to be very simple. But since it runs on top of Rmpi, perhaps its utility code would be useful in conjunction with Rmpi? - taskPR: Sounds equivalent to snow. Also uses MPI underneath. - Rmpi: Probably. Should definitely work for my needs, only question is if it's the best choice. Is it stable, complete, robust, etc.? - rpvm: Maybe. Should be equivalent to Rmpi, but MPI is much more popular on clusters than PV...

...s (e.g. rgdal and EBImage) as the libraries and JVM were compiled under gcc's conventions (even though a Sun JVMi is used). About half the packages using rJava segfault, which seems to a JNI issue. Some packages use gcc-specific compiler flags: LogConcDEAD Matching amap geometry memisc taskPR but the vast majority of the errors reported are C++ errors. One class that may not be immediately obvious is the use of C headers in C++: you are supposed to write e.g. #includd <cmath> NOT #include <math.h> Symptoms of this can be seen for packages BayesTree EMCC MCMCfglmm...

...g all the results back to gether at the end for analysis. If I can distribute the runs over all the processors available in my machine, I'm going to roughly halve the run speed. The question is, how to do this? I've looked at many of the packages in this area: rmpi, snow, snowFT, rpvm, and taskPR - these all seem to have the functionality that I want, but don't exist for windows. The best solution is to switch to Linux, but unfortunately that's not an option. Another option is to divide the task in half from the beginning, spawn two "slave" instances of R (e.g. via Rcmd)...

...","mimR","ncdf","pathmix","rcdd","rgdal","rpvm", "Rmpi","RQuantLib","RMySQL", "RNetCDF","RODBC","ROracle","RScaLAPACK","rsprng","RWinEdt","taskPR") shouldFail <- theNew %in% failPackages install.packages( theNew[!shouldFail],dependencies=T) # VGAM is not in CRAN yet, but Zelig wants it. # install.packages("VGAM", CRAN="http://www.stat.auckland.ac.nz/~yee"); update.packages(CRAN="http://www.stat.auckland...

...evice","gap","gnomeGUI","mimR","pathmix","rcdd","rgdal","rpvm","Rmpi","RQuantLib","RMySQL", "RNetCDF","RODBC","ROracle","rsprng","RWinEdt","taskPR") #rejected because I subjectively think we don't need them failPackages2 <- c("aaMI","AlgDesign","bim","caMassClass","CGIwithR","CDNmoney","clac","clim.pact","compositions","cyclones",&...

...and this is usually what you want. Package writers who use delay() will now get a warning that it has been deprecated. They should recode their package to use delayedAssign instead. Examples from CRAN of this (I am not sure if this list is exhaustive): exactRankTests, genetics, g.data, maxstat, taskPR, coin I have cc'd the maintainers of those packages. If you want a single code base for your package that works in both the upcoming R 2.1.0 and older versions, this presents a problem: older versions don't have delayedAssign. Here is a workalike function that could be used in older vers...

Dear Group, I am using DEAL package for modeling signal transduction nets. This process is deal slow on a SunFire server with 8 gigs ram. we have a grid that can process much faster that one individual server. However, to start the process in Grid, I have to give a command or submit a batch process. Is there any way, I can run R in bach process. I tried the following: R CMD |

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) {