similar to: could not find function in mempry inside foreach loop

I'm trying to use foreach function to do multicore computing in R. A <-function(....) { foreach(i=1:10) %dopar% { B() }} then I call function A in the console. The problem is I'm calling a function ipredictMatrix inside B that is defined in another script file which I source.However I get the following error: Error in FUN(train_adjmt, iter = missedmat[i, 1], iter2 =

Signed-off-by: Christoph Hellwig <hch@lst.de> Index: linux-2.6/fs/ocfs2/cluster/tcp.c =================================================================== --- linux-2.6.orig/fs/ocfs2/cluster/tcp.c 2007-05-06 13:51:17.000000000 +0200 +++ linux-2.6/fs/ocfs2/cluster/tcp.c 2007-05-17 15:00:14.000000000 +0200 @@ -261,14 +261,12 @@ out: static void o2net_complete_nodes_nsw(struct o2net_node

Hello, I am a newbie to LLVM and right now I am on the hook to parse some IR code and do some instrumentations. However, my problem is that no matter how I tweak my parsing code, it simply cannot print out anything. So here is my C code: int your_fun(int arg2) { int x = arg2; return x+2; } And here is my parsing code: #include <llvm/IR/Module.h> #include

Dear Nik Try the following code loo_predict.mu <- function(model.obj, input.data) { yhat <- foreach(i = 1 : nrow(input.data), .packages="gamlss", .combine = rbind) %dopar% { updated.model.obj <- update(model.obj, data = input.data[-i, ]) predict(updated.model.obj, what = "mu", data = input.data[-i, ], newdata = input.data[i,], type =

Hello Mikis: Thanks a lot, it worked. Could you tell me what the problem was? Regards, Nik ----- Original Message ----- From: r-help-request at r-project.org To: "r-help" Sent: Sunday, March 11, 2018 6:00:02 AM Subject: R-help Digest, Vol 181, Issue 11 Send R-help mailing list submissions to r-help at r-project.org To subscribe or unsubscribe via the World Wide Web, visit

This thread reveals that R has some holes in the solution of some of the linear algebra problems that may arise. It looks like Jim Ramsay used a quick and dirty approach to the generalized eigenproblem by using B^(-1) %*% A, which is usually not too successful due to issues with condition of B and making a symmetric/Hermitian problem unsymmetric. In short, the problem is stated as follows:

If the code you are running in parallel is complicated, maybe foreach is not sophisticated enough to find all the variables you refer to. Maybe use parallel::clusterExport yourself? But be a aware that passing parameters is much safer than directly accessing globals in parallel processing, so this might just be your warning to not do that anyway. -- Sent from my phone. Please excuse my brevity.

Hello all: Please help me with this "can't find object" issue. I'm trying to get leave-one-out predicted values for Beta-binomial regression. It may be the gamlss issue because the code seems to work when %do% is used. I have searched for similar issues, but haven't managed to figure it out. This is on Windows 10 platform. Thanks in advance, Nik #

We defined a number of functions on lists which are not provided by the standard library. As with Char and String, let's extend List to add these new functions to a List pseudo-module (really Std_utils.List, but called List when you ‘open Std_utils’). The initial exported functions are all List functions from OCaml 3.11 + iteri + mapi. We can add other functions as needed. ---

REvolution Computing has just released three new packages for R to CRAN (under the open-source Apache 2.0 license): foreach, iterators, and doMC. Together, they provide a simple, scalable parallel computing framework for R that lets you take advantage of your multicore or multiprocessor workstation to program loops that run faster than traditional loops in R. The three packages build on each

REvolution Computing has just released three new packages for R to CRAN (under the open-source Apache 2.0 license): foreach, iterators, and doMC. Together, they provide a simple, scalable parallel computing framework for R that lets you take advantage of your multicore or multiprocessor workstation to program loops that run faster than traditional loops in R. The three packages build on each

Hi all, Sometimes I'll find myself "ctrl-c"-ing like a madman to kill some code that's parallelized via foreach/doMC when I realized that I just set my cpu off to do something boneheaded, and it will keep doing that thing for a while. In these situations, since I interrupted its normal execution, foreach/doMC doesn't "clean up" after itself by killing the

Hi, in R 2.12.1, R CMD check hangs when building a vignette that uses a foreach loop with the doMC parallel backend. This does not happen in R 2.13.1, nor if I use doSEQ instead of doMC. All versions of multicore, doMC and foreach are the same on both my R installations. Has anybody encountered a similar issue? Thank you. Renaud ### UNIVERSITY OF CAPE TOWN This e-mail is subject to the

Hi, just during these vacation days, I'm trying to approach with multicore package and I have some troubles with foreach. ex. foreach(.combine=c, ii=1:200, jj=1:500) %dopar% makefunction[ii,jj] Command seem to work but if I see ii and jj value at the and of cycle, they are both 200 instead than ii=200 and jj=500. Why?? Can someone help me? Thank you in advance. Max -- View this

Dear all, Just wondering if someone could help me out converting my code from a for() loop into a foreach() loop or using one of the apply() function. I have a very large dataset and so I'm hoping to make use of a parallel backend to speed up the processing time. I'm having trouble getting selecting three variables in the dataset to use in the foreach() loops. My for() loop code is:

Dear expeRts, is it possible to carry out calculations between different foreach() calls? As for nested loops, you want to carry out calcuations not depending on the inner loop only once and not for each iteration of the innermost loop. Cheers, Marius library(foreach) foreach(i=1:3) %:% foreach(j=1:2) %do% { i <- i+1 print(paste(i,j)) } foreach(i=1:3) %:% i

Hi all, Anyone want to help with a native IO.foreach? I''m missing some of the critical logic here. This currently just does a straight BYTE_MAX data read, instead of a line by line data read, and doesn''t deal with lines split between multiple reads. I checked strtok into CVS (for windows-pr) if anyone wants to use that instead of String#split. It''s in

Dear R-List member, tried implement the foreach loop. It works fine, when I'm using %do%, but not when I'm using %dopar%. I always receive one of the following error messages: error in { : task 1 failed - "Objekt 'S3' not found" - could the .export be an solution for this?? Any help is much appreciated! The Code hast the following structure: ########## dft3 =

Dear all, I am converting a large process to a parallel backhend using doMC and foreach. Basically, I havea long list of input graph files and each of them calls soem basic igraph package functions. I am parallelizing the run, in order to save time. All works fine, and each %dopar% call ends with a vector of results that at the end got fed into a data frame and saved as a csv table. When I

Dear R-List member, I have a problem when I'm trying to save two arrays from a foreach-loop. I'm also not sure whether this is possible or just my inexperience. However, this works perferctly fine with a for-loop. Here is an example code - any help is much appreciated!!: ############ n.vpn = 2 n.run= 3 # create to empty matrices sme = matrix(NA,4,n.vpn) test = matrix(NA,4,n.vpn) #