similar to: SNOW libraries/functions, rGenoud

Dear R group, since I do only have a moderately fast MacBook and I would like to get my results faster than within 72h per run ( :-((( ), I tried Amazon AWS, which offers pretty fast computers via remote access. I don't want to post any code because its several hundreds lines of code, I am not looking for the "optimal" answer, but maybe some suggestions from you if faced similar

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 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

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

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

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

Hello all, I am re-posting my previous question with a simpler, more transparent, commented code. I have been ramming my head against this problem, and I wondered if anyone could lend a hand. I want to make parallel a bootstrap of a linear mixed model on my 8-core mac. Below is the process that I want to make parallel (namely, the boot.out<-boot(dat.res,boot.fun, R = nboot) command).

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

Dear users, I want to set up R to use one R-script directory and one R-library (directory for packages) for many end-users. I try to do this by using one network-share. This works fine as long as we don't use the snowfall package with parallel=TRUE (sfInit(parallel=TRUE, cpus=4, type="SOCK")). When running R with default settings (local library and local script directory)

Dear List I just downloaded and installed R 2.12.0 and then installed R Commander . First it got RCmdr and Car, and then suggested for other packages for utilizing the full functionality- I clicked yes! I got 140 packages installed!!! Cran Mirror was UCLA... Here is the list. Is this intentional- I can see some packages like snow and multicore which are desirable but quite optional.(see list

Im looking for a ISDN card that works under asterisk and supports BRI line. And I just can`t findit. Momently im using card INTERNAL, but Im having problems, asterisk on startup when loading modem fails (i4l driver). Can you please help me, or point to a www address where culd I find some help. Best regards, Bostjan Repnik -------------- next part -------------- An HTML attachment was

Greetings, I last built R-2.11.1 a few months ago. The computer was equipped with these:- ---cpu amd64 2 cores ---o/s cblfs 64-bit only linux kernel-2.6.32 gcc-4.4.2 jdk(1.5)-6U20? ---bls atlas3.9.26 lapacck-3.2.1 I obtained an installed directory of ~58Mbytes and in the ~/lib directory was libR.so (~7.8Mbytes in size) as well as libRblas.so and libRlapack.so (~2.9Mbytes). I have

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) }

> This means there was an error (some function returned -1), but the > error message was not set. Could you capture the backtrace when this > happens? It's hard to find the exact point, but going function and > checking what returns -1 should do. Assuming by "backtrace" you mean the strace output, I went to the end of the file, and then did a reverse search for -1; here

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 All, I can run the "lower level" functions OK, but many of the higher level (eg. parSApply) functions are generating errors. When running the example (from the snow help docs) for parApply on MacOSX 10.5.5, I get the following error: cl <- makeSOCKcluster(c("localhost","localhost")) sum(parApply(cl, matrix(1:100,10), 1, sum)) Error in

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

Hello, Is the first time I am using SNOW package and I am trying to tune the cost parameter for a linear SVM, where the cost (variable cost1) takes 10 values between 0.5 and 30. I have a large dataset and a pc which is not very powerful, so I need to tune the parameters using both CPUs of the pc. Somehow I cannot manage to do it. It seems that both CPUs are fitting the model for the same values

Is there a 'proper' way of checking if cluster is active. For example, I create a cluster called .PBcluster > str(.PBcluster) List of 4 $ :List of 3 ..$ con :Classes 'sockconn', 'connection' atomic [1:1] 3 .. .. ..- attr(*, "conn_id")=<externalptr> ..$ host: chr "localhost" ..$ rank: int 1 ..- attr(*, "class")= chr