I remember now about #r2u. That looks good indeed.
Is there a way to make it work with `renv` or another package management system? (I looked at a couple Github issues and I think the answer is no, but maybe it's changed)
I remember now about #r2u. That looks good indeed.
Is there a way to make it work with `renv` or another package management system? (I looked at a couple Github issues and I think the answer is no, but maybe it's changed)
I hate using the Posit Package Manager to install #Rstats package, because whenever I do, I get errors about missing cpp libraries.
I just have to install from source and it works fine.
But hard to automate in pipeline or systems in production.
How are you working around this issue?
Example code of using Quarto+Typst
Using #Quarto with #Typst for the first time today. I've been a huge proponent of RMarkdown+pagedown over the past few years so that's a big change.
Wish me luck.
In this weekβs blog post, our Data Scientist Theo Roe shares a great introduction to the {officer} package in R.
The {officer} package lets R users work directly with Word and PowerPoint documents.
Learn more: www.jumpingrivers.com/blog/custom-...
#RStats #DataScience #Reporting #Automation
"They came up with a creative workaround: abusing our 30-day trial (initially 15 days until recently), over and over again.
It all started back in April 2015 β yes, a full decade ago."
What the actual f?
(From @vates.bsky.social)
virtualize.sh/blog/ground-...
I was at the RPLL yesterday (professional conferences of free software).
Learned much about the various business models of free software.
Especially, I learned that an AGPL-3 licence does not force you to publicly diffuse the code. It only needs to be available to users/customers.
@veerle.hypebright.nl I know you dug into Shiny internals, maybe you have an idea why it behaves like that?
I'm discovering some obscure stuff.
Why does the same computation take 6x more computation time in an #RShiny app compared to an #Rstats script?
If I remove the `observe()` wrap it takes only 3 seconds. So it definitely comes from being observed.
For example, is there any way to measure how much time an app takes to fully load initially?
I have a few ideas in mind but not sure what's the best way to do that
I want to run an #RShiny benchmark to compare the CPU's of different hosting providers.
Any suggestion?
For now I'm digging in this repo: github.com/rbenchmark/b...
Found out today about shinydraw, an #RShiny package to create wireframes.
I usually work with a UI/UX designer when building an app.
But with this I feel like I could sketch up something quickly by myself
Here is an article on the cynkra blog: cynkra.com/blog/2025-05...
What exactly do you mean by "mastering"?
Does knowing how to use the apply family functions qualify?
Knowing purrr?
Being able to contribute and mentor over purrr internals?
Being an expert in functional paradigms such as recursion and whatelse?
-> For my question, Iβd say knowing some basics
Thatβs what I did in the end, just took a note for later and ship it in an "unoptimized" way
Which #Rshiny training would you recommend for someone who has basic skills but is looking to get more expertise?
There it is: www.datachamp.fr/en/posts/goo...
First part out of four.
Yesterday, while fixing a bug, I saw an optimization in an #RShiny app.
A quick benchmark reveals about a 100x improvement (1000ms -> 10ms) for an action that happens quite frequently.
But we're supposed to deploy to production next Monday. Our test coverage is not good enough.
What would you do?
We are working on a new #RShiny article about good development practices.
The article was too big so I had to break it down into 4 articles.
And for now it'll only be available in French.
Why does it take so much time to write content?
Does anyone have experience with integrating Stripe payments with an #RShiny app?
Yesterday I had 7.5 hours of back-to-back meetings.
Half of them could have been an email.
For some reason, we keep having meetings: Clients want to talk for hours, or we don't feel ready, or we aren't as organised as we think we are.
Have you made the switch to full async? How did you do it?
What's your process for upgrading R in a Shiny app that is deployed in production for many years?
Do you upgrade once a year? every other year? when a new major version comes out?
Do you still use R 3.5.2 because that was the latest version at the time of building the app?
How is your day going so far?
awesome-quarto
a huge list of resources (blog posts, talks, guides, ...) on Quarto everything
github.com/mcanouil/awe...
Just discovered @solidtime.io this morning, an open source version of Toggl.
I'd go for it but I like having the browser extension of Toggl that automatically fills the entries with the task name (from Github issues, Todoist tasks, OpenProject tickets, etc.)
Is it part of the roadmap?
omg I completed Day 1 of #AoC for the first time ever.
And we're only day 2!
Not sure how I feel about this solution to the 2nd puzzle
Anyone doing advent of code in #rstats?
Hi