Hi,
Thanks a lot Henrik for your detailed response, the problem was the one you
suspected a "plan(mutlisession)" that was not correctly closed. And following
your advice I was able to reproduce it on winbuilder.
So thanks again for your help!
Best regards,
Etienne
Etienne Côme, @comeetie
C
Dear all,
I am looking for guidance (blog posts / books / people with expertise) on
how to split up an R package that has grown a lot in complexity and size.
To make it worthwhile, the split needs to ease the maintenance and ongoing
development.
Here are my quick reflections on it:
1. Where possi
Dear Vincent,
Have a look at the spatstat package which was split into several smaller
packages (https://github.com/spatstat/spatstat). Maybe the maintainers of
that package can share some insights.
Best regards,
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of F
Hello all,
I'm developing an R package that basically downloads, imports, cleans and
merges nine files in xlsx format updated monthly from a public institution.
The problem is that importing files in xlsx format is time consuming.
My initial idea was to parallelize the execution of the read_xlsx
On Tue, 4 Oct 2022 15:29:54 -0300
Igor L wrote:
> The problem is that importing files in xlsx format is time consuming.
Do the openxlsx or XLConnect packages fare any better?
> plan(strategy = future::multicore(workers = 4))
As far as I understand the documentation, multicore only works on
POS
In 2019, I split psych into psych and psychTools to meet the 5MB space
restriction. I moved several of vignettes, data sets, and a few helper
functions over to psychTools. This mainly allowed for more vignettes but also
allows me to add new data sets to psychTools without needing to recompile
It looks like you are reading directly from URLs? How do you know the delay is
not network I/O delay?
Parallel computation is not a panacea. It allows tasks _that are CPU-bound_ to
get through the CPU-intensive work faster. You need to be certain that your
tasks actually can benefit from parall
