The 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 a problem in the past and am able to validate that ensures I get the results I desire. However, I am still stumped regarding how they are different.
Jun 1, 2022 527 views

## 1 answer to this question.

percent in percent "returns a vector of the positions of (first) matches of its first argument in its second" (See help(' percent in percent ')). This implies you may compare vectors of various lengths to verify if items from one vector match at least one element from another. The output will have the same length as the vector being compared (the first one).

1:2% in percentage rep (1:2,5)
#[1] TRUTH TRUTH

#[1] rep(1:2,5) percent in percent in percent in percent in percent in percent in percent in percent in percent in percent in percent in percent in percent TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TR

#Please take note that this output is longer in seconds.
The logical operator == is used to see if two items are precisely the same. Elements will be compared element-by-element if the vectors are of identical length. Vectors will be recycled if this does not happen. The output's length
answered Jun 20, 2022 by
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