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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tbf this is the *best* possible outcome to pouring yourself some honey nut cheerios.
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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. -
Was that lib statsmodels?
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Honestly, I use things that are the best for what I need them for. There are things for which excel is a much easier and better tool to work with. R may be fast and have lots of affordances, but the learning curve is not worth it for some things.
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I prefer to use the learning time for R for things that only R can do, like webscrapping.
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