1/ SAS/SPSS jokes make me uncomfortable. If you're still using either, yes — you absolutely should check out R. The productivity gains could be big; the gain in affordances definitely will be. A richer programming environment lets you think more thoughts...and then test them!
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2/ But, the jokes about people still using SAS/SPSS aren't exactly helpful motivations. People continue using software their comfortable with because they're comfortable with it! Learning something new can be daunting, especially if you're not made of discretionary time.
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3/ Having people associated with that new space make fun of your current one doesn't exactly make the transition seem easier. Invite people to play!
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(I also say this as someone who doesn't particularly like R. Give me that snek language with meaningful whitespace! But, if you're an SPSS/SAS user, R is probably a better fit to your work.)
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Replying to @generativist
I'm normally a
evangelizers but had to do mid level stats in Python and ended in R-studio. I think I now understand what the Python lib is on about...Sometimes a lib is so heavily inspired by how [other tool] does it that it's easier to use the other thing.1 reply 0 retweets 1 like -
Replying to @story645
Was that lib statsmodels?
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Replying to @generativist
Yeah...like I'm half seriously working through the logistics of planning/managing a doc sprint for it ... like it's useful that good first issue is basically pull docs out of tests and put them in the docs
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Yep. I had that experience too :)
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Replying to @generativist @story645
As an experienced developer, there is some devilish fun in seeing researchers struggle with the same problems I have always been told are ‘hardly interesting or worth mentioning’
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