Thank you for the suggestions. I'll look into all.equal() and distinct().
To clarify, I originally had two large but distinct dfs with similar, but not identical, data. I essentially wanted to check for duplicate entries based on date/time and location. This is because the data entered in either df were most likely not going to be entered identically due to original structural differences between the dfs.
I wasn't sure if there was a way to cross-ref the result of the inner join (the duplicates) with the original dfs that was less error prone than doing it manually. It seems like there really isn't?
Thank you for your time and suggestions! I really appreciate it.