Difference between the and in operators in R

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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 in Data Science by avinash
• 940 points
11 views

1 answer to this question.

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According to help('percent in percent'), percent in percent is a value matching function that "returns a vector of the places of (first) matches of its first parameter in its second." This implies that you might compare vectors of various lengths to determine whether at least one element in one vector matches an element in another. The output will have a length equal to the vector being compared (the first one).

1:2 in percentage return (1:2,5)
#[1] True, True

Replicate (1:2,5) in percent 1:2 #[1] True, True, True, True, True, True, True

The output is longer in seconds; take note.
If two things are exactly equal, the comparison operator == is used. The elements of the vectors will be compared element-by-element if they are similar in length. Vectors will be recycled if not. The output's length
answered Jun 23 by Sohail
• 2,960 points

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