In the interests of making this community home for those of us who are reddit refugees, let’s go ahead and introduce ourselves.
Some suggested things to comment on/include in your introduction:
- Tidyverse, base, or data.table?
- Are you primarily a user, a developer, or in between?
- How long have you been using R?
- What other languages do you use?
- What do you use R for? Statistics? generative art? data wrangling?
- Are you using R primarily for work, fun, hobbies, or something else?
- Are you a hex sticker collector? Why or why not?
- Where are you on the data engineering <----> pure statistics continuum?
- What’s your favorite obscure package?
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