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R is mostly just a different paradigm than most programmers are used to. A surprising number of them are scared off by R's 1-based indexing by default, or the s

by fwip 6y ago

R is mostly just a different paradigm than most programmers are used to. A surprising number of them are scared off by R's 1-based indexing by default, or the slightly-unfamiliar syntax. It's designed for REPL usage foremost, and with vectors / dataframes as the normal unit of operation. There's also a whole bunch of built-in functions with unfamiliar names and options, and R libraries tend to be similarly opaque to the user with a programming (non-stats) background. For an R-like written for programmers, see Julia.

disgruntledphd2 6y ago
> For an R-like written for programmers, see Julia. Yeah, if you look at the people behind dataframes.jl, it's a lot of people who were involved in R in the earlier days. And there is no better environment for solving a data analysis problem than R. Python can work better for some DS use-cases (sklearn is ace), and it's definitely better for glue but if you need to understand what the hell is going on for a product/service/whatever, R is definitely the right choice.