Difference between the == and %in% operators in R [duplicate]

My question concerns the practical difference between the == and %in% operators in R.

I have run into an instance at work where filtering with either operator gives different results (e.g. one results on 800 rows, and the other 1200). I have run into this problem in the past and am able to validate in a way that ensures I get the results I desire. However, I am still stumped regarding how they are different.

Can someone please shed some light on how these operators are different?

  • 3

    Were the documentation files not helpful?

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