Find and count unique values
vec_unique(): the unique values. Equivalent to unique().
vec_unique_loc(): the locations of the unique values.
vec_unique_count(): the number of unique values.
vec_unique(x) vec_unique_loc(x) vec_unique_count(x)
x |
A vector (including a data frame). |
vec_unique(): a vector the same type as x containing only unique
values.
vec_unique_loc(): an integer vector, giving locations of unique values.
vec_unique_count(): an integer vector of length 1, giving the
number of unique 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_duplicate for functions that work with the dual of unique values: duplicated values.
x <- rpois(100, 8) vec_unique(x) vec_unique_loc(x) vec_unique_count(x) # `vec_unique()` returns values in the order that encounters them # use sort = "location" to match to the result of `vec_count()` head(vec_unique(x)) head(vec_count(x, sort = "location")) # Normally missing values are not considered to be equal NA == NA # But they are for the purposes of considering uniqueness vec_unique(c(NA, NA, NA, NA, 1, 2, 1))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.