Here are some fun links: https://www.talyarkoni.org/blog/2012/06/08/r-the-master-troll-of-statistical-languages/ https://www.talyarkoni.org/blog/2012/06/08/r-t

Here are some fun links: https://www.talyarkoni.org/blog/2012/06/08/r-the-master-troll-of-statistical-languages/ https://www.talyarkoni.org/blog/2012/06/08/r-the-master-trol... https://www.burns-stat.com/pages/Tutor/R_inferno.pdf https://www.burns-stat.com/pages/Tutor/R_inferno.pdf and many others. I have come to believe that the only people that think R is ok are those that are either: - beginners that just passed the newbie state, learned a few tricks and feel empowered - actual experts - that fully understand the minute details of the implementation and data models I have been using R on and off for a decade, as soon as I stop using for a few months getting back is like a tar pit where I am continuously caught off guard by the myriad of ridiculous problems. Paradoxically as you get better with R your errors start becoming more dangerous, your code starts silently doing the wrong things. R is unlike any other programming language that I have used before (also on an off) from Perl, C to Python and Java. None of these programming languages have such in incredibly obtuse and illogical and trippy design.