R and its ecosystem have some unbeatable features, but, generally speaking, the "old", base R is too arcane to be widely useful. Also, being "made by statisticians for statisticians" should be a big warning sign.
Despite being made by statisticians, I ironically find that munging R packages together for certain classes of analysis such a slog that it prevents me from doing the actual statistical thinking. Sometimes the plots fall behind commercial packages, sometimes the diagnostics, and sometimes you have to combine multiple incompatible packages to get what a commercial package can do.
(Survival analysis and multilevel modeling comes to mind.)
