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Data checks - Check for duplicate values

any_duplicated.Rd

  • any_duplicated: is identical to vctrs::vec_duplicate_any(), and detects the presence of duplicated values, similar to anyDuplicated().

  • are_duplicated() is identical to vctrs::vec_duplicate_detect(), and returns a logical vector describing if each element of the vector is duplicated elsewhere. Unlike duplicated(), it reports all duplicated values, not just the second and subsequent repetitions.

Usage

any_duplicated(x)

are_duplicated(x)

Arguments

x

[atomic() | list()] An object to test.

Value

  • [TRUE | FALSE] For any_duplicated(): the scalar result of the test.

  • [logical(length(x))] For are_duplicated(): a logical vector of the same size as x, describing if each element is duplicated elsewhere.

Missing values

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, all NaN are also considered to be equal.)

Examples

any_duplicated(1:10)       #> FALSE
#> [1] FALSE
any_duplicated(c(1, 1:10)) #> TRUE
#> [1] TRUE

x <- c(10, 10, 20, 30, 30, 40)
are_duplicated(x) #> c(TRUE, TRUE, FALSE, TRUE, TRUE, FALSE)
#> [1]  TRUE  TRUE FALSE  TRUE  TRUE FALSE
duplicated(x) #> c(FALSE, TRUE, FALSE, FALSE, TRUE, FALSE)
#> [1] FALSE  TRUE FALSE FALSE  TRUE FALSE
# Note that `duplicated()` ignores the first instance of a duplicated value