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?
  • ShadowAether@sh.itjust.works
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    1 year ago

    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.

    • a_statisticianOPM
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      1 year ago

      Interesting! I’ve never seen something that tried to quantify the data complexity in quite that way before, but it looks cool!

      • ShadowAether@sh.itjust.works
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        1 year ago

        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