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BTW - I should add that my memory is that there is at least one package for having R interact with Python that does an Anaconda install without you really knowing it.  Personally  I consider that bad practice.  It may be more convenient but can lead to unexpected trouble down the line just because of issues like this.  I have also seen R and Julia packages install things under the covers using Homebrew. I also consider this bad practice, again because it can lead to conflicts that leave the user bewildered . (Homebrew installs is its own directory, but you must be careful about setting Paths, and path priority).   This was particularly true when building from source.

I have submitted to CRAN and while it can be an utter pain in the butt,  I also appreciate what CRAN does for users of the package - they can install with reasonable assurance that the needed pieces will work together and there won't be any hidden gotchas, and that is worth a lot to users, at least in my experience.  I recently spent a week in hell with conda-forge where different packages used the same library (by name) but the recipes installed different versions,  and they kept on crashing each other.

So the tl;dr version is you likely installed a package for interop between R and Python,  say from source or Github,  and undercover it installed Anaconda.  And as people have mentioned,  Anaconda has its own R environment,  which may or may not interfere with the standard R install. I check my .profile or .bash_profile after installs just in case.  If there is a setting I will need to use some software,  I move that to a separate file to be sourced when needed.  Since I have started doing that,  a lot of conflicts have disappeared.

HTH,

-Roy
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Roy Mendelssohn
Supervisory Operations Research Analyst
NOAA/NMFS
Environmental Research Division
Southwest Fisheries Science Center
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