- R has come a long way and it is a powerful functional programming platform, with print ready visualization tool where you can do anything; the limit is your hard work and imagination
- R is a variation of S the free version when the original seed, S, became S + as a commercial product.
- You can do anything in R as much as you can do anything with C or C++
- R is continually supported by a large group of practitioners and you will get help for free
- One version of R become Revolution R with some special purpose packages which was sold as enterprise edition, another branch of R, and got bought out by Microsoft
- One of the rock stars of R is Hadley Wicham, who is continually making great contributions improving R
- For daily life of a data science practitioner, there is no pride in saying you do not know R, even if you know Python.
- Here is a copy of advanced R by Hadley Wickham: https://englianhu.files.wordpress.com/2016/05/advanced-r.pdf (not sure it is truly free or someone leaked it out); I am buying the real book. - R BEATS PYTHON! R BEATS JULIA! ANYONE ELSE WANNA CHALLENGE R?
- It is neither humbling nor a pride statement to say that a data scientist says that he/she does not know R. It is an important tool in a data scientist's tool box.
- Many complain about R that it is difficult; more complained about SAS and continue to do so, but SAS's power is well known.
- War of languages
Another war of languages about R/Python/Octave/Matlab/Julia - . One more: https://matloff.wordpress.com/2014/05/21/r-beats-python-r-beats-julia-anyone-else-wanna-challenge-r/
- The minimalist approach for programming languages for a data scientist from my perspective is R/Python/SAS. Until proven, do not waste your time.