Live and lapply()
Live and lapply()
The sapply() who loved me
A Quarto of Solace
i love data, me too meme
Just learned about the delightful R package βfcukβ to help users correct typos while coding:
cran.r-project.org/web/packages...
Usually I can find something to appreciate and treat it as a learning experience. Like when I first had to use Python I enjoyed learning about comprehensions and itertools. It helps counterbalance the ick from things like Pandas or overstuffed Jupyter notebooks.
Itβs usually easy but sometimes it gets stressful to make the short turnaround time to address CRAN check warnings/notes or else have your package archived.
With very large numbers of nβs you donβt need randomization, and with LLMβs we can generate very large numbers of nβs, so I think all of science is solved by now. I donβt see any problems with this.
If only AI / ML had been around when I was training, I wouldnβt have had to learn about things like causal inference, how to evaluate prediction models or even, say, the importance of data quality. What a waste of time all that was!
Screenshot of both sides of the printable version of the cheatsheet
Screenshot of the web version of the recipes cheatsheet
#tidymodels now has its very first cheatsheet! "Preprocessing data with {recipes}" is now available in Web and PDF versions here: rstudio.github.io/cheatsheets/... #rstats #posit #rstudio
I just learned that Ayatollah Khamenei and Ayatollah Khomenei are not the same person. Here's my plan for regime change in Iran....(1/23)
There's a moment in every data engineer's career when they discover they can query a 10GB Parquet file on their laptop in seconds.
That's the DuckDB moment.
It changes how you think about what requires a cluster and what doesn't. Spoiler: most things don't.
ssp.sh/blog/enterp...
β¦β¦. Deep cut
THERE IS ONLY ONE TRUE WAY TO CODE AND IT IS TIDY. All others will perish on the altar of messiness. MUAHAHAHAHAAAAAAAAAAAAAA
The more I learn about #rstats the more excited I get. We have a rich ecosystem of tools / libraries such as #shiny or @quarto.org that I honestly feel like I can do anything
There's tremendous opportunity in corporations to improve and transform their workflow and reporting capabilities.
thatβs a big selling point for weighted bootstraps (and things like Fayβs method), so that you donβt get a bad bootstrap sample that breaks your model
DC district court has denied the Department of Education's motion to dismiss our case challenging IES's termination of four research studies, its peer review program, and restricted data use application processing!
ecf.dcd.uscourts.gov/cgi-bin/show...
spopt-r brings powerful spatial optimization algorithms for regionalization, facility location, and market analysis to R with a blazing-fast Rust backend.
Use them for analyses in energy, retail, logistics, sales, real estate, and more.
Get started: walker-data.com/spopt-r
Starting a job posting thread in the survey industry. First, off Pew on their methods group
Exciting news! We just posted an opening for a Survey Associate on @pewresearch.org's Methods team! This is an amazing opportunity for someone relatively early in their career to join what is, IMO, the most fun methods team in the business. Full description at the link below.
This piece is open access, and if you write survey questions, you should read it.
The whole dinner scene is amazing. Every time I watch it Iβm just howling over the rhetorical questions βsnacks?!!β and βdid you see our show?!!β
A vent π£οΈ on R's use of the GPL license.
There's a balance βοΈ of protecting the developers / language and supporting the users of the language. I don't think the GPL quite strikes that.
josiah.rs/posts/gpl-co...
#rstats
i want a computer powered by the green satan goo from prince of darkness
This is exactly right. The Onion quietly left Twitter a month ago and... our weekly subscribers went up. It's because we're doing well here, on Instagram and on YouTube.
As a business, being on Twitter is somewhere between useless or detrimental, unless you're selling boner pills.
I am so here for the hilarity and arcane code coming out in these #rstats arguments today. The good natured ribbing and silliness is reminding me why this language has always had such a great community.
Lynnesbian @lynnesbian@fedi.lynnesbian.space You're doubting my humanity, but you're missing some key points. Here are some of the things I've seen: Attack ships firing off the shoulder of Orion. These aren't just battleships β they're spacecraft designed for warfare. C-beams glittering in the dark. Their location? Near the TannhΓ€user Gate. Things you wouldn't believe. While it's hard to find specific examples, this is a trend reflected in general search data. The bottom line: All those moments will be lost β like tears in rain.
These days I think dplyr with optional backends (like duckplyr or dtplyr) tends to be more accessible and offer similar or better performance. Plus it easily scales to databases or Spark in a way that data.table doesnβt.
This is very cool, but I'm already so duckdb and duckplyr pilled