similar to: Amazon AWS, RGenoud, Parallel Computing

Dear everyone, I am trying to run rgenoud on several chips simultaneusly. I used the instructions provided on Jasjeet Sekhon's Homepage (http://sekhon.berkeley.edu/rgenoud/multiple_cpus.html). However, I have the newer version of R (R 2.12) installed - for a 64-bit machine. So, when I tried to install the special version of "snow" from a zip file provided by Jasjeet on his page, R

I've been using RGenoud for a while and it worked smoothly so far. However I came across a strange problem lately (for me at least...). It fails after the first individual and I get the following error message when I set MemoryMatrix = FALSE : Error in genoud(fn, nvars = 8, max = TRUE, pop.size = 10, : REAL() can only be applied to a 'numeric', not a 'character' when I

Dear group, does anybody know how to export libraries/functions to all nodes when launching snow? I want to use a function from fBasics (dstable) for a rGenoud optimization routine, but I fail "making the function accessible" to the nodes created. I know how it works for variables, I know how it works in snowfall(which cant be used in that case), but I dont know how it culd work in

I have been using the rgenoud package for a nonlinear least-squares problem with lots of local minima, and it works very well but takes lots of time. According to the article refrenced in the documentation, the original GENOUD-software by the same authors seems to allow for user-supplied analytical derivatives instead of numerical approximations, which would probably save some time. Does anybody

Dear R user fellows, I would like to ask you about the package 'rgenoud' which is a genetic optimization tool. I ran the function 'genoud' with two variables to be minimized by the following command. result<-genoud(fn,nvars=2,starting.values=c(0.5,0), pop.size=1000, max.generations=10, wait.generations=3) Then, I had the following error message. Error in

Dear All I am using rgenoud to solve the following maximization problem: myfunc <- function(x) { x1 <- x[1] x2 <- x[2] if (x1^2+x2^2 > 1) return(-9999999) else x1+x2 } genoud(myfunc, nvars=2, Domains=rbind(c(0,1),c(0,1)),max=TRUE,boundary.enforcement=2,solution.tolerance=0.000001) How can one increase the precision of the solution $par [1] 0.7072442 0.7069694 ? I

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 would like to limit the significant figures of the calibrated parameters determined by genoud() in the Rgenoud package. Below is some example output, where column 1 is model run number, columns 2-7 are the parameter values, and columns 8-12 are model fit statistics. I would like genoud to internally limit parameters to 4 decimal places as shown in this output. It is clear that the function is

Hi, Using R 2.15.1 on Windows 7. Have installed both versions 32 and 64bit. In both of them among others I have installed a package rgenoud When I open R gui of 32bit and write library(rgenoud) it responds by showing a functional rgenoud version 5.7-8. The same it does on Rgui 64bit. Now I am working in cygwin (v. 1.12.4.0) with xwin. Normally before when I had installed a package, I only had

I am attempting to install a anchoring vingettes package for R and I seem to have a problem with unzipping the files in R. I use the command that can be found here <http://wand.stanford.edu/anchors/>. Here is the dialog I get after entering the command: > install.packages("anchors", dependencies = TRUE, +

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 - and sorry for a possibly stupid question, I'm just starting to learn rgenoud. I am defining a function with 5 parameters (p1, p2, p3, p4a, and p4b) and then want to optimize it using genoud. But I am doing something wrong. Before genoud is even able to run it says: "Error in p2 + 1.2 : 'p2' is missing". I assume I did not specify it right. My code is below. The task

Hello everybody, I have a problem that is bothering me for quite a while now and I don't know the answer... I want to create global variables (out of a function) which I can access from all other functions... But somehow that does not work too well. Attached some code for an example: function_called <- function (){ result = globalvariable*globalvariable print(result) }

I installed R-2.1.0 from source on a Linux box running Red Hat Enterprise Linux WS release 4 but install.packages() wouldn't work (see below). When I install R-2.0.1 from RPM on the same system, everything is fine. Version 2.1.0 (2005-04-18), ISBN 3-900051-07-0 . . . > options(CRAN = "http://cran.fhcrc.org/") > install.packages("rgenoud") --- Please select a CRAN

I have a dataframe called cvar, with two variables (among many others) called MSA and ACTUP. Both are numeric. This was working fine. Then I found out that for two MSAs, ACTUP should be 1, not 0. so I tried cvar$ACTUP[cvar$MSA == 6840] <- 1 cvar$ACTUP[cvar$MSA == 5360] <- 1 but when I try table(cvar$MSA, cvar$ACTUP) the level of ACTUP for those two MSAs has not changed, and is still

I looked everywhere for information on how to install wine in the Amazon AWS cloud. Can somebody please point me to some working binaries and which AMI to use? And possibly some installation instructions? I'm just trying to run some simple Windows console applications (from MS-DOS)... nothing fancy. But wine just doesn't want to install or run in AWS. Surely many people have

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Hi Jonathan, Configuring SELinux is somewhat complicated, so I would usually set SELinux mode to permissive. ________________________________ From: CentOS <centos-bounces at centos.org> on behalf of Jonathan Billings <billings at negate.org> Sent: Saturday, September 29, 2018 7:48 PM To: CentOS mailing list Subject: Re: [CentOS] Step-by-Step Tutorial: How to Setup Your Own

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