vec_duplicate_any(): detects the presence of duplicated values,
vec_duplicate_detect(): returns a logical vector describing if each
element of the vector is duplicated elsewhere. Unlike
reports all duplicated values, not just the second and subsequent
vec_duplicate_id(): returns an integer vector giving the location of
the first occurrence of the value.
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A vector (including a data frame).
vec_duplicate_any(): a logical vector of length 1.
vec_duplicate_detect(): a logical vector the same length as
vec_duplicate_id(): an integer vector the same length as
In most cases, missing values are not considered to be equal, i.e.
NA == NA is not
TRUE. This behaviour would be unappealing here,
so these functions consider all
NAs to be equal. (Similarly,
NaN are also considered to be equal.)
vec_unique() for functions that work with the dual of duplicated
values: unique values.
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vec_duplicate_any(1:10) vec_duplicate_any(c(1, 1:10)) x <- c(10, 10, 20, 30, 30, 40) vec_duplicate_detect(x) # Note that `duplicated()` doesn't consider the first instance to # be a duplicate duplicated(x) # Identify elements of a vector by the location of the first element that # they're equal to: vec_duplicate_id(x) # Location of the unique values: vec_unique_loc(x) # Equivalent to `duplicated()`: vec_duplicate_id(x) == seq_along(x)
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