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This is from 2008-2011, so adjust accordingly for evolution: For people who did Google stats, R was the unchallenged leader. Almost no one used Octave. I think
by AlbertCory 4y ago
This is from 2008-2011, so adjust accordingly for evolution:
For people who did Google stats, R was the unchallenged leader. Almost no one used Octave. I think they did have a site license for Matlab, if memory serves.
(this is not a defense of R. I hate it, myself.)
- acomjean 4y agoI disliked R until I took a bio statistics course. It then made a lot of sense. For graphing and analysis it's great, as a general computing language it's wanting.
- Max-Limelihood 4y agoIn that case I'd suggest Julia; it's got syntax pretty much identical to R, and is just as easy to pick up, but it's much, much faster, and it works as a general-ish computing language. (It's still definitely math/science/research-oriented, but it's not like R, which is only really usable for statistics scripts.)
- AlbertCory 4y agoI found that the "learning curve" was more a "learning straight line." Even after you've attained some basic competence and you've been using it for a while, it's still confounding.