@brodriguesco@fosstodon.org
@brodriguesco@fosstodon.org avatar

brodriguesco

@brodriguesco@fosstodon.org

Sworn in Data Janitor, fluent in R, Linux enthusiast living in Luxembourg

Average BÉPO enjoyer and advocate

Alma mater @Unistra - Phd econ

Read my blog or I'll delete your system32: https://brodrigues.co

youtube: http://is.gd/NjybjH

grep 'meaning' life.txt

This profile is from a federated server and may be incomplete. Browse more on the original instance.

gavin, to random
@gavin@fosstodon.org avatar

@brodriguesco I had reason to revisit this old post of yours, and I noticed that the pivotal plot in this post seems to be missing. Is it a render issue?
https://www.brodrigues.co/blog/2022-12-21-longevity/

brodriguesco,
@brodriguesco@fosstodon.org avatar

@gavin Thanks! Fixed it! Wonder what happened, the link to the image was still working... rehosted the image on the website’s repo, should never happen again now :D

hsorlie, to statistics

What model should one report after using multiple and regressions, and how are they obtained? I'm using the package in , and on each imputed dataset. When pooling results, summary() yields what I need for each model term, but nothing for the whole model. If I didn't impute but deleted listwise, I would normally report AIC, BIC, Loglik. These are all in the mipo object, for each result for each imputed dataset, but they're not pooled. I'm sure I'm missing something here. Does anyone know an example article where such results are presented neatly?

brodriguesco,
@brodriguesco@fosstodon.org avatar

@hsorlie You should be able to report the distribution of AIC etc, no? By extracting the relevant statistics from the mipo object.

brodriguesco, to random
@brodriguesco@fosstodon.org avatar

The video of my talk at is now available: https://youtu.be/eWt1oXatxw8

rix: An package for reproducible dev environments with ( 2024)

brodriguesco, (edited ) to random
@brodriguesco@fosstodon.org avatar

I was very happy to talk about my package, {rix} at yesterday!

Video is available here:
https://www.youtube.com/watch?v=eWt1oXatxw8

Slides are available here: https://is.gd/fosdem_2024_rix

brodriguesco,
@brodriguesco@fosstodon.org avatar

@kupac yes

brodriguesco,
@brodriguesco@fosstodon.org avatar

@kupac Oh shit really? I have no idea why, but I thought you lived in Australia 😂

brodriguesco, to datascience
@brodriguesco@fosstodon.org avatar

RT https://twitter.com/TunisRUserGroup

🔥 Ready to boost your coding productivity? Dr. Bruno André Rodrigues Coelho's
@brodriguesco workshop on Reproducible Analytical in #R is a must-watch! 🚀💻 Tune in now and take your coding to the next level!

https://www.youtube.com/watch?v=1jVJSPsC4Yo

brodriguesco, to random
@brodriguesco@fosstodon.org avatar

New x blog post: Reproducible data science with Nix, part 9 -- rix is looking for testers!

https://www.brodrigues.co/blog/2024-02-02-nix_for_r_part_9/

Check out the latest feature implemented by @specphil , with_nix(), it'll blow your mind!

brodriguesco,
@brodriguesco@fosstodon.org avatar

@gavin @specphil that is pretty awesome! thank you for testing! were you already a Nix user or did you install Nix for this? if the latter, were our docs useful?

brodriguesco, to random
@brodriguesco@fosstodon.org avatar
brodriguesco, to random
@brodriguesco@fosstodon.org avatar

Has any of you Linux user had a Linux command segfault if launched via system() or system2() but working fine by itself outside of R?

brodriguesco,
@brodriguesco@fosstodon.org avatar

@RossGayler I'll check this, thanks!

brodriguesco, to random
@brodriguesco@fosstodon.org avatar

Say want you want about the , nothing beats its expressiveness!

brodriguesco,
@brodriguesco@fosstodon.org avatar

@Kudusch no, writing steps <- . %>% f %>% defines a "functional sequence" which you can then apply to an objects like df %>% steps. It’s shorter than defining a function for this. I don’t think there’s a base equivalent.

brodriguesco,
@brodriguesco@fosstodon.org avatar

@jrosell pluck() is worse tbqh

brodriguesco,
@brodriguesco@fosstodon.org avatar

@kupac @jrosell I should look into it again!

brodriguesco,
@brodriguesco@fosstodon.org avatar

@jrosell I don't think using pluck() adds any clarity over [[

cscheid, to random
@cscheid@fosstodon.org avatar

Chrome now doesn't let me download Deno releases because "they're uncommonly downloaded".

Please, Please. Please stop making software stupid. I beg of you.

brodriguesco,
@brodriguesco@fosstodon.org avatar

@cscheid There is nothing else in this world that makes me uninstall software faster than this kind of thing

brodriguesco,
@brodriguesco@fosstodon.org avatar

@cscheid could chromium be an option?
or does it pull the same tricks?

brodriguesco,
@brodriguesco@fosstodon.org avatar

@cscheid if only they'd user chromium then :D

brodriguesco, to random
@brodriguesco@fosstodon.org avatar

according to japanese cartoons we're 5 years away from this

video/mp4

brodriguesco, to random
@brodriguesco@fosstodon.org avatar

mfw the unit test passes with devtools::test() but not with covr::package_coverage()

brodriguesco,
@brodriguesco@fosstodon.org avatar

@jangorecki test passes, the issue is with covr::package_coverage see

https://github.com/r-lib/covr/issues/487

Mehrad, to NixOS
@Mehrad@fosstodon.org avatar

A question for and folks:

I want to start a R project and I want to keep everything about this project static and frozen in time. I know nix-shell is a thing, but:

  1. is there a better/smoother approach?

  2. is it possible to also have a service/daemon running in that nix-shell ? The editor I use (Rstudio) has desktop and server versions, and I would rather have the server version running on a beefy remote machine and I ssh into it.

Boosting is highly appreciated :)

brodriguesco,
@brodriguesco@fosstodon.org avatar

@bioinformatician_next_door @Mehrad @RossGayler yes, in practice it’s rarely an issue, I’ve used Docker quite a lot and still do, I mainly use the Rocker images + renv for reproducibility. I think that Nix offers a simpler solution though.

brodriguesco,
@brodriguesco@fosstodon.org avatar

@bioinformatician_next_door take a look at our package, rix, which makes using Nix for R users much easier: https://b-rodrigues.github.io/rix/

still in development, but a cran release will happen soon we hope! @specphil

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