We're looking for a research software/data engineer for a short-term position building data pipelines for a field + lab research project.
If you're a R data wrangler, and know about at least some of: the {targets} pkg, GitHub Actions, and working with Web APIs like AirTable, Google Sheets, and Open Data Kit, we'd love to hear from you!
$50-60 per hour, ~12 weeks full-time, remote from anywhere.
This week marks a year of me hanging out a virtual shingle here. I've found it diverting, my instance is pleasantly full of math nerds, and the #RStats hashtag brings me plenty of stat programming stuff, but I'm still looking for a community of aging and #Alzheimer researchers. Is this you? Do you know any people or hashtags I should be following?
I just finished my first read of https://code-review.tidyverse.org/ and I highly recommend reading at least part of it, even if you only plan to open issues in your favorite #RStats packages. It addresses both sides of the PR relationship, as well as how to write good issues (which has inspired me to update our "help us help you" for @R4DSCommunity). It's short enough to get through right away, but long enough to address quite a lot about the process. Strong work, @davis!
Hello Mastodon! #introduction 👋 I am Lucas (call me Luuk) from The Netherlands 🇳🇱 Starting my #PhD research at Uni Salzburg, Department of Geoinformatics, in Austria 🇦🇹 It's about human-centric #datascience for #sustainable#mobility planning. How does the way we design streets influence our perceptions of accessibility, and how can we measure this? 🌆 Happy to share thoughts and learn a lot. I also develop #FOSS#software in #rstats and #python 💻 And I like to ride #bikes#cycling 🚲
Shoutout to @minecr for putting together a great session (and website!), and to @quarto_pub for basically being the answer to all my #rstats and #python prayers!
New release of renv (1.0.0!) out now: https://lnkd.in/e8gwgY3V. Includes documentation and messaging improvements, tweaks to handling of "development" dependencies, and use of PPPM by default (since MRAN has gone away) #rstats
"The new renv::checkout() makes it easy to use packages as if they’d all been installed at a specified date. For example, renv::checkout(date = "2023-02-08") will re-install all packages as they were on 2023-02-08 (using Posit Package Manager)...New projects will now use Posit Public Package Manager by default so that you’re more likely to get binaries." https://posit.co/blog/renv-1-0-0/
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: