funique is an efficient alternative to unique (or unique.data.table, kit::funique, dplyr::distinct).

fnunique is an alternative to NROW(unique(x)) (or data.table::uniqueN, kit::uniqLen, dplyr::n_distinct).

fduplicated is an alternative to duplicated (or duplicated.data.table, kit::fduplicated).

The collapse versions are versatile and highly competitive.

funique(x, ...)

# S3 method for default
funique(x, sort = FALSE, method = "auto", ...)

# S3 method for data.frame
funique(x, cols = NULL, sort = FALSE, method = "auto", ...)

# S3 method for sf
funique(x, cols = NULL, sort = FALSE, method = "auto", ...)

# Methods for indexed data / compatibility with plm:

# S3 method for pseries
funique(x, sort = FALSE, method = "auto", drop.index.levels = "id", ...)

# S3 method for pdata.frame
funique(x, cols = NULL, sort = FALSE, method = "auto", drop.index.levels = "id", ...)


fnunique(x)                  # Fast NROW(unique(x)), for vectors and lists
fduplicated(x, all = FALSE)  # Fast duplicated(x), for vectors and lists

Arguments

x

a atomic vector or data frame / list of equal-length columns.

sort

logical. TRUE orders the unique elements / rows. FALSE returns unique values in order of first occurrence.

method

an integer or character string specifying the method of computation:

Int. String Description
1"auto"automatic selection: hash if sort = FALSE else radix.
2"radix"use radix ordering to determine unique values. Supports sort = FALSE but only for character data.
3"hash"use index hashing to determine unique values. Supports sort = TRUE but only for atomic vectors (default method).

cols

compute unique rows according to a subset of columns. Columns can be selected using column names, indices, a logical vector or a selector function (e.g. is.character). Note: All columns are returned.

...

arguments passed to radixorderv, e.g. decreasing or na.last. Only applicable if method = "radix".

drop.index.levels

character. Either "id", "time", "all" or "none". See indexing.

all

logical. TRUE returns all duplicated values, including the first occurrence.

Details

If all values/rows are already unique, then x is returned. Otherwise a copy of x with duplicate rows removed is returned. See group for some additional computational details.

The sf method simply ignores the geometry column when determining unique values.

Methods for indexed data also subset the index accordingly.

Note

No matrix method is provided. Please use the alternatives provided in package kit with matrices.

Value

funique returns x with duplicate elements/rows removed, fnunique returns and integer giving the number of unique values/rows, fduplicated gives a logical vector with TRUE indicating duplicated elements/rows.

Examples

funique(mtcars$cyl)
#> [1] 6 4 8
funique(gv(mtcars, c(2,8,9)))
#>                   cyl vs am
#> Mazda RX4           6  0  1
#> Datsun 710          4  1  1
#> Hornet 4 Drive      6  1  0
#> Hornet Sportabout   8  0  0
#> Merc 240D           4  1  0
#> Porsche 914-2       4  0  1
#> Ford Pantera L      8  0  1
funique(mtcars, cols = c(2,8,9))
#>                    mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#> Mazda RX4         21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
#> Datsun 710        22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
#> Hornet 4 Drive    21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
#> Hornet Sportabout 18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
#> Merc 240D         24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
#> Porsche 914-2     26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2
#>  [ reached 'max' / getOption("max.print") -- omitted 1 rows ]
fnunique(gv(mtcars, c(2,8,9)))
#> [1] 7
fduplicated(gv(mtcars, c(2,8,9)))
#>  [1] FALSE  TRUE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE  TRUE  TRUE  TRUE
#> [13]  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
#> [25]  TRUE  TRUE FALSE  TRUE FALSE  TRUE  TRUE  TRUE
fduplicated(gv(mtcars, c(2,8,9)), all = TRUE)
#>  [1]  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
#> [13]  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
#> [25]  TRUE  TRUE FALSE  TRUE  TRUE  TRUE  TRUE  TRUE