x <- 3One look of dplyr code over pandas would of course disabuse anyone of the notion that R is trash and the tragedy is Python will in the current state never have anything like that. That's the advantage of the language being influenced by Lisp vs not.
I agree that it is a trash language and that, outside that many frontier academic ideas are available and some plotting preferences are solidly prescriptive, it should be thrown into the trash bin.
Python, Julia when it gets its druthers for TTFP, Octave, Fortran, C, and eventually Rust. These are the tools I've found in use over and over and over again across business, government, and non-profits.
Everywhere R is used by the org I have seen major gaps in capacity to deliver specifically because R doesn't scale well.
I agree that the standard library is what you might call "a chaotic disorganized mess".
"Trash", despite its connotations of lacking value, is really just a chaotic disorganized mess of something made by artifice with dubious reclaim/reuse/recycle value. Being a subjective assessment, it is natural that one person's trash is a treasure to another.
It's fine that people like it. What's good about it isn't unique, and what's unique about it isn't that great. And there are certainly switching costs for some orgs to consider.