similar to: OpenMPI I/O not working

Hi I want to give parameters for my function from the shell. I mean I defined a function like these: work1.R : myfunc <- function(x,y) { z = x + y z } and now I want to use shell to give parameters like " ./work1.R (3,5) " to get sum 8. so what should I do? [[alternative HTML version deleted]]

Hello, We have recently added a 64-bit 2 x Dual-Core Athlon server running Red Hat Enterprise Linux AS release 3 to allow for processing of large data sets (>4GB) in R. To integrate this server into our Linux cluster, I have been trying (unsuccessfully) to use Rmpi/lam-mpi to parallel process some of our scripts. While I have successfully compiled R 2.4.0 and lam-mpi 7.1.2 on this server using

Gurus: I have a new version of my quantreg package with minimal changes, mainly to fix some obscure fortran problems. It fails R CMD check ?as-cran with the error: Running examples in ?quantreg-Ex.R? failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: plot.rqss > ### Title: Plot Method for rqss Objects

I was running 1.9.18p10 on a test DEC Unix 4.0d box here and I decided to give 2.0beta3 a try. For some reason, I cannot connect to any of the server's shares or even get a list of it's services (via Start->Run->\\server) from Win95 clients. It asks for a password and no matter what I put in there I get "The password is not correct. Try again." I configured Beta3 a la:

Dear Prof. Roger Koenker, On Tue, 22 Oct 2024 09:08:12 +0000 "Koenker, Roger W" <rkoenker at illinois.edu> wrote: > > fN <- rqss(y~qss(x,constraint="N")+z) > > *** caught segfault *** > address 0x0, cause 'invalid permissions? Given a freshly produced quantreg.Rcheck directory, I was able to reproduce this crash by running R -d gdb # make

The following patch adds a trivial family method for linear models. -k --- src/library/base/funs/lm.orig Tue May 27 02:53:58 1997 +++ src/library/base/funs/lm Sun Aug 10 22:00:46 1997 @@ -412,3 +412,5 @@ } formula.lm<-function(x)formula(x$terms) + +family.lm <- function(x) { gaussian() } =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- r-devel mailing list

smbclient (and smbtar) in version 2.2.7a (and prior) has problems with large files (> 4GB). The following patch (against 2.2.7a) fixes all known problems with this. This code has been checked into the CVS tree in all branches as well. -- ====================================================================== Herb Lewis Silicon Graphics Networking Engineer

Dear ext3-users, I write scientific number-crunching codes which deal with large input and output files (Gb, tens of Gb, as much as hundreds of Gygabytes on occasions). Now there are these multi-core setups like Intel Core 2 Duo becoming available at a low cost. Disk I/O is one of the biggest bottlenecks. I would very much like to put to use the multiple processors to read or write in parallel

Hi, I'm trying to compile two functions into one function. the first funtion is called 'fs' which is self-made function, another function is from the built-in 'integration' function that is copy-paste-edited. If built separatey, these functions work well. However that is not the case if combines together, where certainly I made mistake somewhere when constructing the code.

Hello everyone, i just updated from 4.2.1 to 4.2.2. If i try to fire up my win2k8 domU with a pci device attached, the dom0 machine hardcrashes. my system log (idrac) shows the following: CPU 2 has an internal error (IERR). A bus fatal error was detected on a component at bus 0 device 0 function 0. CPU 1 machine check detected. and plenty of other entries. The machine hardresets then. If i

We are having problems building R on Red Hat Linux 6.0/Sparc. R compiles with no problem but then it fails "make tests". Specifically, the line eigen(cbind(-1,c(1:2,0),0:2)) # complex values causes a segmentation fault. Previous versions of Red Hat Linux did not give this problem. The eigen() function is one of the rare cases in the base library where Fortran code is called via the

Per the announcement from the MVAPICH team, I am pleased to let you know that the MPI-IO support for Lustre has been integrated into the new release of MVAPICH, version 1.0. > - Optimized and high-performance ADIO driver for Lustre > - This MPI-IO support is a contribution from Future Technologies > Group, Oak Ridge National Laboratory. >

I've only been using R on and off for 9 months and started using the glasso package for sparse covariance estimation. I know the concept is to shrink some of the elements of the covariance matrix to zero. However, say I have a dataset that I know has some underlying "baseline" covariance/correlation (say, a value of 0.3), how can I change or incorporate that into to the

Full_Name: Ricardo Luiz de Andrade Abrantes Version: 2.1.1 OS: Debian Linux, kernel 2.6.8 Submission from: (NULL) (201.6.83.153) The problem can be well explained with the following example: Suppose I made a program in fortran, and a C interfacece to it. Now I want to use this C interface in R to call my fortran program. Then I modified my C file to deal with SEXPs and compile it as a shared

Hi, I noticed a minor flaw in integrate() from package stats: Taking up arguments lower and upper from integrate(), if (lower == Inf) && (upper == Inf) or if (lower == -Inf) && (upper == -Inf) integrate() calculates the value for (lower==-Inf) && (upper==Inf). Rather, it should return 0. Quick fix: ### old code ### ### [snip] else {

This is release 0.9.24 of Wine, a free implementation of Windows on Unix. What's new in this release: - Support for multiple monitors using Xinerama. - Various MSI fixes and improvements. - A ton of memory leaks fixed. - Many common controls fixes. - Lots of bug fixes. Because of lags created by using mirrors, this message may reach you before the release is available at the public

Dear R People: Here are my latest attempts for Rmpi: This is the list of locations for mpi.h: /home/faculty/hodgess/mpich2-1.0.5p4/src/include/mpi.h /home/faculty/hodgess/include/mpi.h /home/faculty/hodgess/lam-7.1.4/romio/adio/sgi/mpi3.1/mpi.h /home/faculty/hodgess/lam-7.1.4/share/include/mpi.h /usr/src/linux-2.4.21-20.EL/drivers/addon/fusion_20505/lsi/mpi.h

Hi team, I am beginning on R and I try to install Rmpi library and I have problems, I have installed LAM-MPI on Rocks; [rcnavarro at hpc-cip ~]$ laminfo LAM/MPI: 7.1.1 Prefix: /opt/lam/gnu Architecture: x86_64-unknown-linux-gnu Configured by: root Configured on: Wed Oct 19 18:12:25 EDT 2005 Configure host: rocks-156.sdsc.edu Memory

I have a problem to understand the way gc_inhibit_torture is defined. In include/Defn.h it is declared as extern, using the __MAIN__ trick this leads to a definition in main/main.c. But in main/memory.c you define (and initialize) gc_inhibit_torture again: int gc_inhibit_torture = 1; /* gets set to zero after initialisations */ Then, in e.g. unix/system.c immediately at the beginning of

Full_Name: Chanseok Park Version: 1.8.1 OS: linux-gnu Submission from: (NULL) (130.127.112.183) digamma with any negative value does not give a right answer. It gives -1.797693e+308 for any negative arguments. For example, digamma(-1.1) gives -1.797693e+308. The right answer should be 10.15416 This bug can be easily fixed by using the following digamma identity. digamma(x) = digamma(1-x) -