this post was submitted on 12 Jun 2023
10 points (100.0% liked)
R Programming
267 readers
1 users here now
Please use this as a forum to discuss R, and learn more about it. If you have any questions about how to do specific things in R, this is the place to ask.
Getting Started
You can download R here.
You can download RStudio here. RStudio IDE, which is supported by Posit PBC, is a powerful and well-developed IDE for R. Other development environment options include Emacs addon Emacs Speak Statistics and VSCode.
Other Communities
Other communities that may be of interest across the fediverse:
- https://lemmy.ml/c/rstats
- https://lemmy.ml/c/dataisbeautiful
- https://lemmy.world/c/dataisbeautiful
- https://code4lib.net/c/datascience
- https://discuss.tchncs.de/c/data_engineering
Please send @a_statistician a message to recommend additional communities to add to this list.
Learning resources:
- R for Data Science - a good introductory book for learning R. Start here if you're overwhelmed.
- Big Book of R - collection of more than 500 online books/tutorials covering various aspects of R. Some links are to paid books with previews, but most links are to free online textbooks.
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Hi, I'm a PhD student in software engineering and I've used R for prototyping/testing algorithms and methods related to machine learning/data complexity/statistics. I use Python and C (for hardware related stuff). My favorite obscure package is ECoL.
Interesting! I've never seen something that tried to quantify the data complexity in quite that way before, but it looks cool!
Well I needed a way to measure changes in separability in high dimensional spaces (besides most classifier performance bc that has too much variance and is not sensitive enough) and I thought this was actually kind of a solved problem but nope. So I went down the data complexity rabbit hole