Could not find function "mclapply"
On this forum, I found the mclapply function of the parallel package, which seems to be helpful. Being very new to R, I could not get the code working (see below for a short version). More specifically, I got the error:

Parallel processing in R with mclapply : function does not ...

On this forum, I found the mclapply function of the parallel package, which seems to be helpful. Being very new to R, I could not get the code working (see below for a short version). More specifically, I got the error:

Implementing mclapply () on Windows: a primer on ...

An easy way to run R code in parallel on a multicore system is with the mclapply () function . Unfortunately, mclapply () does not work on Windows machines because the mclapply () implementation relies on forking and Windows does not support forking. For me, this is somewhat of a headache because I am used to using mclapply (), and yet I need to support Windows users for one of my projects.

mclapply function | R Documentation

the function to be applied in parallel to …. For mclapply and pvec , optional arguments to FUN . For mcmapply and mcMap , vector or list inputs: see mapply .

ERROR: in mclapply () · Issue #1 · knausb/vcfR_win-builder ...

I've just tried to convert a vcfR object {vcfR} into a genlight object {adegenet} because I'd like to see the Principal Components of the filtered SNP dataset (a PCA can be done with genlight objects using glPca(). At some point, the function vcfR2genlight() calls mclapply (), which does not work on windows (since it relies on forking).

[R-sig-hpc] mclapply : problem writing into a texfile ...

While using the mclapply function provided by the multicore package, I notice that more lines are written than expected when writing the outputs of the simulations into a textfile, AFTER the call to 'mclapply' . At the other hand, by using the 'parallel' package I do not have any "additional" outputs. Below you can find a reproducible example:

R help - parallel error message extraction (in mclapply )?

of course, I can use lapply to debug this, but this could be slow for some programs. (I know the answer for my problem is that a uniroot deep inside my code complained that my endpoints were not opposite.) in general, is there a way to get some more information from mclapply failures? could this be added to the docs for mclapply ?

mclapply on AWS

The function runs fine in RStudio (AWS AMI) when using the same environment, its just from the terminal with Rscript myFunction.R --json=config.json that an error occurs. mclapply (1:dim(this.split), SomeFun, mc.preschedule=TRUE) mclapply quits with the error all scheduled cores encountered errors in user code

Trying to reduce the memory overhead when using mclapply ...

I am currently trying to understand how to reduce the memory used by mclapply .This function is rather complicated and others have explained the differences versus parLapply (A_Skelton73, 2013; lockedoff, 2012) and also made it clear that in mclapply each job does not know if the others are running out of memory and thus cannot trigger gc (Urbanek, 2012).

R: Parallel Versions of 'lapply' and 'mapply' using Forking

mclapply is a parallelized version of lapply, it returns a list of the same length as X, each element of which is the result of applying FUN to the corresponding element of X. It relies on forking and hence is not available on Windows unless mc.cores = 1. mcmapply is a parallelized version of mapply, and mcMap corresponds to Map.

r - mc.cores > 1 is not support on windows - Stack Overflow

I am new in R programming and I have code like below and I know that the windows does not support multicore but I don't know how to change this part of the code. Can someone suggest me an equivalen...

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