• vec_duplicate_any(): detects the presence of duplicated values, similar to anyDuplicated().

• vec_duplicate_all(): detects if all values are equivalent.

• vec_duplicate_detect(): 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.

• vec_duplicate_id(): returns an integer vector giving the location of the first occurrence of the value.

vec_duplicate_any(x)

vec_duplicate_detect(x)

vec_duplicate_id(x)

vec_duplicate_all(x)

## Arguments

x A vector (including a data frame).

## Value

• vec_duplicate_any(): a logical vector of length 1.

• vec_duplicate_all(): a logical vector of length 1.

• vec_duplicate_detect(): a logical vector the same length as x.

• vec_duplicate_id(): an integer vector the same length as x.

## 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.)

vec_unique() for functions that work with the dual of duplicated values: unique values.

## Examples

vec_duplicate_any(1:10)#> [1] FALSEvec_duplicate_any(c(1, 1:10))#> [1] TRUE
vec_duplicate_all(c(1, 1))#> [1] TRUEvec_duplicate_all(c(1, 2))#> [1] FALSEvec_duplicate_all(c(NA, NA))#> [1] TRUE
x <- c(10, 10, 20, 30, 30, 40)
vec_duplicate_detect(x)#> [1]  TRUE  TRUE FALSE  TRUE  TRUE FALSE# Note that duplicated() doesn't consider the first instance to
# be a duplicate
duplicated(x)#> [1] FALSE  TRUE FALSE FALSE  TRUE FALSE
# Identify elements of a vector by the location of the first element that
# they're equal to:
vec_duplicate_id(x)#> [1] 1 1 3 4 4 6# Location of the unique values:
vec_unique_loc(x)#> [1] 1 3 4 6# Equivalent to duplicated():
vec_duplicate_id(x) == seq_along(x)#> [1]  TRUE FALSE  TRUE  TRUE FALSE  TRUE