A local chapter of @rladies.org & a registered non-profit, R-Ladies Melbourne Inc. promotes gender #diversity & #inclusivity in the R community #Rstats! 🐨🇦🇺
Website: https://r-ladiesmelbourne.github.io/
LinkTree: https://linktr.ee/rladiesmelbourne
R-Ladies Melbourne
This week, we had our 2025–26 AGM and are excited to announce the 2026–27 R-Ladies+ Melbourne leadership team! 🥳
President: @kirstymccann.bsky.social
Vice-President: Mansi Aggarwal
Secretary: Harriet Mason
Treasurer: @dionnecargy.bsky.social
We look forward to another year of great events! 💜
dplyr 1.2.0 is out now and we are SO excited!
- `filter_out()` for dropping rows
- `recode_values()`, `replace_values()`, and `replace_when()` that join `case_when()` as a complete family of recoding/replacing tools
These are huge quality of life wins for #rstats!
tidyverse.org/blog/2026/02...
Tomorrow's #DSLab is gonna be interesting because I've never used AI to help write analysis code, or do any analysis at all! Super curious what this will look like and excited for you to meet @sara-altman.bsky.social if you haven't yet! She's part of the AI team here at #Posit!
#rstats #databs
Reminder: Event This Wednesday!
Register now.
We’re back for 2026! 💜
R-Ladies+ Melbourne is gearing up for a big year of events, learning, and community.
Stay tuned and see you soon! 👩💻📊 #RLadies #RStats #WomeninSTEM
‼️ Upcoming Event ‼️
Join us and Dr Kate Saunders who will present on “Data driven decision making for fantasy basketball.”
Interested in turning data into decisions? Sports analytics or forecasting?
Register now on meetup! shorturl.at/CECCC
📆 18 Mar, 5.30-7.30pm
📍DiUS, Level 3, 31 Queen St Melbourne
‼️ Upcoming Event ‼️
Join us for a session on Deep Probabilistic and Generative Modelling covering diffusion models, variational inference, generative AI, and biomedical applications — plus a short hands-on PyTorch demo!
📆 20 May, 6-7 PM
📍 Online
🎟️ Register now - www.meetup.com/rladies-melb...
Register here: www.meetup.com/rladies-melb...
Announcing yaml12: High-speed YAML 1.2 for #RStats & #Python 🐫
Built entirely in Rust, get up to 2x faster in R and 50x faster in Python vs. defaults, tag evaluation (like code execution) is opt-in, and strict YAML 1.2 compliance for consistent data.
Learn more: tidyverse.org/blog/2026/01...
📢 Contributor Office Hour (AMER)
📅 February 12, 09:30 - 10:30 PST
Join us online to
- discuss how to get started contributing to R
- get help/feedback on contributions you are working on
- look at open bugs/work on translations together
https://www.meetup.com/r-contributors/events/313023308
