similar to: parallel computing--help

hello all I am using the R package Zelig for some tobit regression with robust standard errors. I have got R version 2.9.2 (2009-08-24) and Zelig Version: 3.4-5 when i do demo(robust) It ends like this way data(coalition) > # Fit the model with robust standard error > user.prompt() Press <return> to continue: > z.out3 <- zelig(Surv(duration, ciep12) ~ polar + numst2 +

Hi R Users, I want to get the data from the url given from 10/09/2012 to 15/10/2012. I don't know how to pass the parameters . ....................................................................................................................................... library(RHTMLForms) > > ff = getHTMLFormDescription("

Hi RUsers, Suppose I want to see the data on the website url <- "http://www.nseindia.com/content/indices/ind_histvalues.htm" for the index "S&P CNX NIFTY" for dates "FromDate"="01-11-2010","ToDate"="02-11-2010" then read the html table from the page using readHTMLtable() I am using this code webpage <-

When trying to create (a very simple) cluster using makeSOCKcluster or makeCluster I get the following error message: > library(snow) > cl <- makeSOCKcluster("localhost") Fatal error: kann Datei '~/R/i686-suse-linux-gnu-library/2.8/snow/RSOCKnode.R' nicht ?ffnen: Datei oder Verzeichnis nicht gefunden (translation: could not open file [...]: File or directory not

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Hi folks, Here is the problem. I am giving an example .I want to find a measure of similarity or dissimilarity among ranking (of students of a same class of size say 50)by two judges. But instead of observing the rank of all the 50 students (Where we could have used rank correlation measures)in each case what I have is 2 list of top 20 students chosen by each judge. The following paper gives out

The command which hangs: I'm hoping there is a simple explanation, but I searched on-line and nothing jumped out. > cl <- makeCluster(type="SOCK",c("localhost"),manual=TRUE) Manually start worker on localhost with C:/PROGRA~1/R/R-214~1.2/bin/Rscript.exe "C:/Program Files/R/R-2.14.2/library/snow/RSOCKnode.R" MASTER=localhost PORT=11944 OUT=/dev/null

Hi, I am attempting to implement a mixed (windows/linux) snow sockets parallelism in R, but am running into difficulties similar to a post made Aug 31, 2006 under the same subject heading. I feel like I may be one or two non-obvious steps away from getting it all working, but I'm stuck. If anyone can shed some light on this (I believe Prof. Tierney stated that he has successfully run a

Dear list, i have some problems using the snow package to create a SOCK cluster. The errors just occour irregularly but it seems to me that they occour when I try to create more than one cluster on the same machine via different R instances started via submitting LSF jobs to a cluster. Does anyone have an idea how to solve this or where to start digging for solutions? The error messages

Hi All, I have a problem with VectorLegalizer::ExpandStore() with v4i1. Let's see a example. * LLVM IR store <4 x i1> %edgeMask_for.body1314, <4 x i1>* %27 * SelectionDAG before vector legalization ch = store<ST1[%16](align=4), trunc to v4i1> t0, t128, t32, undef:i64 * SelectionDAG after vector legalization ch = store<ST1[%16](align=4), trunc to i1> t0, t133, t32,

Hi All, Can someone comment below question whether it is wrong or not please? 2016-06-25 7:52 GMT+01:00 jingu kang <jaykang10 at gmail.com>: > Hi All, > > I have a problem with VectorLegalizer::ExpandStore() with v4i1. > > Let's see a example. > > * LLVM IR > store <4 x i1> %edgeMask_for.body1314, <4 x i1>* %27 > > * SelectionDAG before vector

I'm trying to setup a snow grid using sockets (Windows 7).  On the test grid (my computer and another) I have an SSHD server up and running, can connect OK via public key authentication.  Running "makeSOCKcluster" on just my local machine works OK.  Running it to the other computer fails.  My SSH logs show the connection accepted, authenticated and then dropped.   I

The package `snow' (Simple Network of Workstations), originally announced in early form about a year ago on this list, is now available from CRAN. Snow implements a simple mechanism for using a workstation cluster for ``embarrassingly parallel'' computations in R. The interface, which is based in part on the Python CoW (Cluster of Workstations; http://www.scipy.org/) package, is

On Tue, Jun 28, 2016 at 2:45 AM, jingu kang via llvm-dev <llvm-dev at lists.llvm.org> wrote: > Hi All, > > Can someone comment below question whether it is wrong or not please? > > 2016-06-25 7:52 GMT+01:00 jingu kang <jaykang10 at gmail.com>: >> Hi All, >> >> I have a problem with VectorLegalizer::ExpandStore() with v4i1. >> >> Let's

Hello, After getting help to solve part of my problem and some delay on my part, I am posting a more refined version to see if someone can help me further. I am trying to autocalibrate a model in my subject area using the snow and rgenoud packages. I want to use the key function "fn" that is called by genoud() to finalize input, run the model executable, and compute the objective

I've been using parApply() in snow package for parallel computing with the following lines in R 2.8.1: library(snow) nNodes <- 4 cl <- makeCluster(nNodes, type = "SOCK") fm <- parApply(cl, myData, c(1,2), func1, ...) Since I have a Mac OS X (version 10.4.11) with two dual-core processors, I thought that I could run 4 simultaneous clusters. However with the 1st job

I am trying to use rgenoud and snow with an external model and file I/O. Unlike the typical application of rgenoud and snow, I need to run an external executable and do pre- and post-processing of input and output files for each parameter set generated by genoud(). I'm hoping that someone can suggest improvements to my approach and a work-around for file I/O problems I've encountered when

I am trying to use the optimizing function genoud() with the snow package on a couple of i686 machines running Redhat Linux WS4 . I don't know anything about PVM or MPI, so I just followed the directions in snow and rgenoud for the simplest method and started a socket cluster. My function fn for genoud involves updating an input file for a separate numerical model with the latest parameter

Hello, I am trying to do model autocalibration using the snow and rgenoud packages. The function I want to run in task-parallel fashion across multiple machines is one that pre- and post-processes data and runs an external model code. My problem is that external file I/O is happening only in the master node and not in the slaves. I have followed Jasjeet Sekhon's suggestion to test the

Hello, I was using snow to parallel-process some code in R-2.10 (32-bit windows. ). The code is as follows: require(foreach) require(doSNOW) cl <- makeCluster(6, type='SOCK') registerDoSNOW(cl) bl2 <- foreach(i=icount(length(unqmrno))) %dopar% { (some code here) } stopCluster(cl) When I run the same code in Windows R-2.11 (either 32-bit or 64-bit), R hangs at