It occurred to me that there were two groups of people that came to Mastodon in November. The first thought Twitter was literally going to shut down and needed virtual methodone for their social media addiction. The second were users dissatisfied with what Twitter had become and jumped at an alternative. I believe it's the second group that have stuck around.
@mike
I liked Twitter for it's helpful #rstats community and I used it as a learning environment. I left there because of growing concerns about Elon Musk's morality (and sanity).
Mastodon doesn't fill Twitter's schoolroom role (I feel it's much more aimed at cognoscenti) but I'm still here!
The {polars } #rstats 📦 “gives users access to a lightning fast Data Frame library written in Rust. [Its] parallel execution, cache efficient algorithms and expressive API makes it perfect for efficient data wrangling, data pipelines, snappy APIs and so much more. Polars also supports ‘streaming mode’ for out-of-memory operations. This allows users to analyze datasets many times larger than RAM.”
Not yet on CRAN. By Søren Welling & others https://rpolars.github.io/
@jospueyo I haven’t tried it, but seems like it could be a good fit for people who already use it in another language, are used to its structure, and like some code consistency across languages. Some people like having the same libraries across languages. I❤️ R, but there are several different syntaxes to learning popular packages, and not everyone likes that. dplyr and data.table may both be #rstats, but they're quite different!
I’ve been working on the #rstats package called {gt} and things are generally going well with that! Version 0.9.0 of the package was released a few months ago and there were many good and useful things added to the package.
To get the word out, quite a few blog posts have been published on the Posit blog and today the sixth post was released:
New release! nanoarrow 0.2 is out! nanoarrow is a lightweight C library that helps apps implement Arrow C Data & Stream interfaces. The release offers an IPC reader and a Getting Started tutorial, among other improvements. #rstats bindings too! Learn more: https://arrow.apache.org/blog/2023/06/22/nanoarrow-0.120-release
One of the ideas that has driven @rOpenSci's peer-review system is just this: that niche "long-tail" scientific software can have important applications despite a small audience. We try to get useful quality control and feedback to those lone developers doing that important work but don't attract thousands of users or contributors. #rstats
Hey fellow data enthusiasts! 📊 In this post, I want to share an exciting technique called rolling correlation and how you can leverage it to gain valuable insights from your time-series data using R.
Don't be shy—give it a try and share your findings in the comments below.
Do we have a bot that retoots general #rstats toots like the #rladies bot @cosima_meyer? If we don't, I would be interested in making one, since this is a core feature I am missing from Twitter.
Hi y'all! I was affected by the recent layoffs at Posit PBC. I'm sad I won't be able to work with such brilliant folks in Academy. It was truly an honor, and a great learning experience. I'm now open to work! 👀
If you're looking for someone with experience in Python, R, software engineering, research and other skills, please reach out to me!
does anyone know if it's possible (and how) to check which libraries in a script are actually used? As in have at least a function call in said script.
I have long script with a ton of library calls at the top and I am pretty sure not all of them are used, but except for iteratively remove libraries one by one and watch the script burn, but I don't know how else to test it.
Unfortunately, I was affected by layoffs at Posit PBC. I'm still processing this big change, but I'm now open to work.
If you're looking for a data scientist or someone more broadly with experience in R, package development, causal inference, Rust, and many other skills, please reach out to chat!
If you're curious about my work, check out my GitHub
Recently, I switched from Dell (XPS 13) to a #Tuxedo laptop. This machine is just great. I also use the Tuxedo OS, which severs me well while working with #rstats.
Tuxedo avoids #snap, which caused some mild trouble since I use #LanguageTool as snap. There is no #flatpak as far as, I know. However, one can get a #java jar her: https://languagetool.org/download/
Works nicely with #openjdk. No need to use snap at all.
🔬📊 Mastering Data Grouping with R's ave() Function 📊🔬
Are you tired of manually calculating statistics for different groups in your data analysis projects? Look no further! R's ave() function is here to revolutionize your data grouping experience. 🚀
The LangChain LLM framework is only available in Python and JavaScript. But if you're an R user, @jayeung12 shows how to incorporate LangChain Python code into an R script with the {reticulate} 📦. This lets you include #LangChain in an #rstats workflow. https://jason-yeung.netlify.app/posts/2023_5_26/