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I often have the need to find elements (rows) that two vectors (data frames) don't have in common. Finding these elements using setops is straightforward, but I wonder if it would be ok to add the symmetric difference (aka. union \ intersection) function to save a few key strokes. Below is my proposed solution. I can make the PR if we agree it makes sense to add this.
@seasmith I don't think a symmetric antijoin makes sense because there's generally no reason to expect the data frames on either side of a join to look at all alike.
I often have the need to find elements (rows) that two vectors (data frames) don't have in common. Finding these elements using setops is straightforward, but I wonder if it would be ok to add the symmetric difference (aka. union \ intersection) function to save a few key strokes. Below is my proposed solution. I can make the PR if we agree it makes sense to add this.
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