similar to: mclapply enters into an infinite loop....

Dear Jeff, There was a problem in LYGH and lapply threw an error, but mclapply got stuck in an infinite loop. The doc for mclapply says that mclapply runs under try() with silent = TRUE. So that means mclapply should run properly, i.e output a try class object and exit. But it didn't. Can you shed some light on why this happened? THanking you, Yours sincerely, AKSHAY M

Dear members, I am using pbmcapply to parellise my code. But the following code doesn't work: > LYG <- pbmclapply(LYGH,FUN = arfima,mc.cores = 2,mc.preschedule = FALSE) | | 0%, ETA NA^ It just hangs. But the

On Fri, 9 Jun 2023 18:01:44 +0000 akshay kulkarni <akshay_e4 at hotmail.com> wrote: > > LYG <- pbmclapply(LYGH,FUN = arfima,mc.cores = 2,mc.preschedule = > > FALSE) > | > | > 0%, ETA NA^ > > It just hangs. My questions from the last time still stand: 0) What is your

Dear Martin, Sad that the bug is beyond your ken... Fortunately, the error happens only rarely...The length of LYGH was 719 and there were only two such errors..I will just replace them with NA and make do. By the by, what if I send LYGH as an attachment to your actual mail ( not the r-help mail)? Will it help? Can you then pinpoint the cause? Or should I raise a bug

>>>>> akshay kulkarni >>>>> on Wed, 31 May 2023 20:55:33 +0000 writes: > dear members, > I am using arfima() from forecast package to model a time > series. The following is the code: >> LYGH[[202]] > [1] 45.40 3.25 6.50 2.15 >> arfima(LYGH[[202]]) > Error in .fdcov(x, fdf$d, h, nar = nar, nma = nma,

dear members, I am using arfima() from forecast package to model a time series. The following is the code: > LYGH[[202]] [1] 45.40 3.25 6.50 2.15 > arfima(LYGH[[202]]) Error in .fdcov(x, fdf$d, h, nar = nar, nma = nma, hess = hess, fdf.work = fdf$w) : NA/NaN/Inf in foreign function call (arg 5) I tried viewing .fdcov() with the following code:

Dear Tomas, thank you very much. I installed r-devel r75201 and tested. The machine with 88 cores has NUMA disabled. It therefore has 2 processor groups with 64 and 24 processors each. require(parallel) detectCores() # [1] 88 This is great! Then I went on to test with a simple 'foreach()' loop. I started with 64 processors (max limit of 1 processor group). I ran with a simple function

Dear Tomas, thank you for looking into this. Here's the output: # number of logical processors - what detectCores() should return out <- system("wmic cpu get numberoflogicalprocessors", intern=TRUE) [1] "NumberOfLogicalProcessors \r" "22 \r" "22 \r" [4] "20 \r"

Dear R-devel list, R's detectCores() function internally calls "ncpus" function to get the total number of logical processors. However, this doesnot seem to take NUMA into account on Windows machines. On a machine having 48 processors (24 cores) in total and windows server 2012 installed, if NUMA is enabled and has 2 nodes (node 0 and node 1 each having 24 CPUs), then R's

Hi, Both under the current R-devel (r66456) and a version from about 3 months ago, I experience the following behavior: > parallel::detectCores(TRUE) Error in system(cmd, TRUE) : error in running command > traceback() 3: system(cmd, TRUE) 2: gsub("^ +", "", system(cmd, TRUE)[1]) 1: parallel::detectCores(TRUE) > This is on Ubuntu 14.04. Does anybody else see this? [I

In the 'parallel' package there is detectCores(), which tries its best to infer the number of cores on the current machine. This is useful if you wish to utilize the *maximum* number of cores on the machine. Several are using this to set the number of cores when parallelizing, sometimes also hardcoded within 3rd-party scripts/package code, but there are several settings where you wish to

Dear R users, I'm trying to use the "strucchange" package to determine structural breaks in an ARFIMA model. Unfortunately I'm not so familiar with this topic (and worse, I'm a beginner in R), so I don't know exactly how to specify my model so that the "Fstats","sctest" and "breakpoint" functions to recognize it and to calculate the

Please I want to perform full data analysis using ARFIMA model but I dont know the right package that can perform all the necessary test on the time series data. ERIC AIDOO [[alternative HTML version deleted]]

I would like to compute the next 15 observations for an ARFIMA(2,1,0) model along with confidence intervals. Can someone provide code? Many thanks. Jill ____________________________________________________________________________________ [[elided Yahoo spam]]

Hi I want to implement Egarch (1,1) with t distribution model using RExcel and VBA. May I know the syntax. Following is the code that I 'm using. rinterface.RRun "spec=ugarchspec(variance.model=list(model=(eGARCH),garchOrder=c(1,1)), mean.model=list(armaOrder=c(1,1), arfima=FALSE), distribution.model=(std))" rinterface.RRun "fit = ugarchfit(Data = b, spec = spec)"

Henrik, the whole point and only purpose of mc* functions is to fork. That's what the multicore package was about, so if you don't want to fork, don't use mc* functions - they don't have any other purpose. I really fail to see the point - if you use mc* functions you're very explicitly asking for forking - so your argument is like saying that print() should have an option to

Hello all, This is a request for help from somebody who has the Ox interfaces working in R. I am trying to get the Ox interfaces working for Arfima and Garch modelling. However, I am having several problems: 1. The link to download G at rch_v40 does not work. Does anybody have a copy to email to me please? 2. Various guides offer different instructions for installing Ox in the correct place

Dear expeRts, I struggle with the following problem using snow clusters for parallel computing: I would like to specify l'Ecuyer's random number generator. Base R creates a .Random.seed of length 7, the first value indicating the kind fo random number generator. I would thus like to use the components 2 to 7 as the seed for l'Ecuyer's random number generator. By doing so, I

In R 3.3.2 detectCores() in package parallel reports 2 rather than 1 on Raspberry Pi B+ running Raspbian. (This report is just 'for the record'. The model is superseded and I think no longer produced.) The problem seems to be caused by grep processor /proc/cpuinfo processor : 0 model name : ARMv6-compatible processor rev 7 (v6l) (On Raspberry Pi 2 and 3 there is no error because

On Fri, Jan 10, 2020 at 11:23 AM Simon Urbanek <simon.urbanek at r-project.org> wrote: > > Henrik, > > the example from the post works just fine in CRAN R for me - the post was about homebrew build so it's conceivably a bug in their libraries. Thanks for ruling that example out. > That's exactly why I was proposing a more general solution where you can simply define