similar to: Regarding Issue Running Parallel Computing on Linux RHEL version 8

Hi Ivan, I am sharing the session information as below. Also, I will be sharing the code which is utilized to do parallel computing. Note: we are using different version of R on Linux version 7 & 8. ###***Session information from Linux version 8 R version 4.4.1 (2024-06-14) Platform: x86_64-redhat-linux-gnu Running under: Red Hat Enterprise Linux 8.10 (Ootpa) Matrix products: default

dear Ivan, THe present problem had been encountered by me also about 1 and a half years ago. You had solved the issue then. Can't we search this mail list according to some keywords? It helps people with problems already solved in the mailing list. THanking you, Yours sincerely, AKSHAY M KULKARNI ________________________________ From: R-help <r-help-bounces at

Dear Sadam, ? Mon, 13 Jan 2025 14:34:20 +0000 "Huseni, Sadamhusen" <Sadamhusen.Huseni at genpact.com> ?????: > Issue Observed: The script hangs and does not complete execution > post-update. Previously, it took around two hours; now it runs for > over 17 hours without finishing. Do you still have the RHEL 7 machine? Could you please share the sessionInfo() output at

Hi Team, I am writing to bring to your attention an issue we have encountered following the recent update of our Linux server from RHEL 7 to RHEL 8. We have an R script designed to create demand forecasts utilizing parallel computing on the Linux server. Before the version update, the script executed successfully within approximately two hours. However, since updating to RHEL 8, the script has

? Fri, 23 Aug 2024 10:15:55 +0200 <sibylle.stoeckli at gmx.ch> ?????: > > s<-sf$Unterregio > > r<-allrasters_pres[[1]] > > > > > > rs <- stack(r, s) > > names(rs) <- c('r', 's') > Error in `names<-`(`*tmp*`, value = c("r", "s")) : > incorrect number of layer names It looks like at least one

Dear Ivan Dear community Quite nice book recommendation. Yes indeed my raster "s" (the shape file for the boxplot classes) has several layers. That's way I tried to select a layer by " s<-sf$Unterregio". > sf <- read_sf("C:/Users/....._BiogeoRegion.shp") > names(sf) > names(sf) [1] "RegionNumm" "RegionName"

Hello everyone, I'm running the following for loop to generate random variables in chunks of 60 at a time (l), here h is of order in millions (could be 5 to 6 millions), note that generating all the variables at once could have an impact on the final results for(j in 1:h){ dat$t.o[seq(0,g1,l)[j]+1:l]<-dat$mu[seq(0,g1,l)[j]+1:l] + rnorm(l,0,dat$g.var[seq(0,g1,l)[j]+1:l]) } Is there any

"The R Inferno" is now on the Burns Statistics website at http://www.burns-stat.com/pages/Tutor/R_inferno.pdf Abstract: If you are using R and you think you're in hell, this is a map for you. Also, I've expanded the outline concerning R on the Burns Statistics 'Links' page. Suggestions (off-list) for additional items are encouraged. Patrick Burns patrick at

hello, I'm attempting to build the inferno source tree using either of native LTO or jit'd bins and having no obvious luck. im using macports (current as of this email) llvm-2.5 and llvm-gcc on a macbook pro (x86) following the inferno directions verbatim will use 'cc' as the compiler and just works. the build tools are different from the naive build tools as follows:

Hi there are some good tips in "The R Inferno" http://www.burns-stat.com/documents/books/the-r-inferno/ or connect C++ to R with Rcpp http://dirk.eddelbuettel.com/code/rcpp.html or byte code compiler (library(compiler)) or library(data.table) but do you have an idea to fasten standard R source code, with the following Rprof output self.time self.pct total.time

This is Circle 8..1.13 of the R Inferno. On 05/08/2018 06:57, Rui Barradas wrote: > Thanks. > This is exactly the doubt I had. > > Rui Barradas > > ?s 05:26 de 05/08/2018, Kenny Bell escreveu: >> This should more clearly illustrate the issue: >> >> c(1, 2, 3, 4)[-seq_len(4)] >> #> numeric(0) >> c(1, 2, 3, 4)[-seq_len(3)] >> #> [1] 4

On 1/14/25 10:07, akshay kulkarni wrote: > dear Ivan, > THe present problem had been encountered by me also about 1 and a half years ago. You had solved the issue then. Can't we search this mail list according to some keywords? It helps people with problems already solved in the mailing list. Using a search engine and adding `site:stat.ethz.ch` (the mail archives are

R-help is all about solving R problems. So here ya go: http://www.portfolioprobe.com/2011/09/12/solve-your-r-problems/ -- Patrick Burns pburns at pburns.seanet.com twitter: @portfolioprobe http://www.portfolioprobe.com/blog http://www.burns-stat.com (home of 'Some hints for the R beginner' and 'The R Inferno')

I think the rule is that you can do anything as long as you don't complain. If you want to complain, you must follow the instructions. -- Jari Oksanen in Re: [Rd] Keeping up to date with R-devel -- Patrick Burns pburns at pburns.seanet.com twitter: @burnsstat @portfolioprobe http://www.portfolioprobe.com/blog http://www.burns-stat.com (home of: 'Impatient R' 'The R

On Mar 23, 2010, at 2:47 AM, Nick Frolov wrote: > mån 2010-03-22 klockan 17:23 -0700 skrev Chris Lattner: > >> We generally prefer for GSoC projects that are useful to a broad range >> of people or that opens llvm to a new community. > > My idea was to propose bringing LLVM to Inferno OS (the complement > project of Plan 9 from Bell Labs). This OS has a virtual

mån 2010-03-22 klockan 17:23 -0700 skrev Chris Lattner: > We generally prefer for GSoC projects that are useful to a broad range > of people or that opens llvm to a new community. My idea was to propose bringing LLVM to Inferno OS (the complement project of Plan 9 from Bell Labs). This OS has a virtual machine (called Dis) included in the kernel, which is the only option to write

Hi, I'm just starting out with R and came across R_inferno.pdf by Patrick Burns just yesterday - I recommend it! His description of how 'growing' objects (e.g. obj <- c(obj, additionalValue) eats up memory prompted me to rewrite a function (which made such calls ~210 times) so that it used indexing into a dimensioned object instead (i.e. obj[i, ] <- additionalValue). This

Is there a reason that 'which.min' and 'which.max' don't have an 'arr.ind' argument? The context in which I wanted that was a grid search optimization, which seems like it would be reasonably common to me. -- Patrick Burns pburns at pburns.seanet.com http://www.burns-stat.com (home of 'Some hints for the R beginner' and 'The R Inferno')

I've just realized that it could be handy to have a 'decreasing' argument in 'is.unsorted'. And I'm cheekily hoping someone else will implement it. It is easy enough to work around (with 'rev'), but would be less hassle with an argument. The case I have in mind uses 'is.unsorted' in 'stopifnot'. Pat -- Patrick Burns pburns at pburns.seanet.com

Hola Ivan gracias por tu ayuda, justo ayer a ultima hora hice una modificacion en el programa q hizo q el programita ande, aunq no entendi porque lo hizo. La modificacion fue agregar "*w" al final de cada parametro en la definicion de la funcion "grini" q habia creado, cosa q deduje de mirar la funcion q le habia robado al ejemplo del manual de boot ratio <- function(d, w)