From time to time I find it rather important to compare two tibbles and check if they are identical. I most often us
dplyr::all_equal() for this. In the case I need to see where they are not equal I will use
Today as I was going through the new documentation for
all_equal() it manual file states
all_equal()allows you to compare data frames, optionally ignoring row and column names. It is questioning as of dplyr 1.0.0, because it seems to solve a problem that no longer seems that important.
Is there a discussion around why this problem no longer seems important? Is there an alternative solution that is found to be more robust? Or is the statement that comparing two tibbles seems to not be important to the dev team and that the effort involved in solving it could be better directed?