Duplicate rows according to a weighting variable

uncount() is provided by the tidyr package, and re-exported by ggsurveillance. See tidyr::uncount() for more details.

uncount() and its alias expand_counts() are complements of dplyr::count(): they take a data frame with a column of frequencies and duplicate each row according to those frequencies.

Usage

uncount(data, weights, ..., .remove = TRUE, .id = NULL)

expand_counts(data, weights, ..., .remove = TRUE, .id = NULL)

Arguments

data: A data frame, tibble, or grouped tibble.
weights: A vector of weights. Evaluated in the context of data; supports quasiquotation.
...: Additional arguments passed on to methods.
.remove: If TRUE, and weights is the name of a column in data, then this column is removed.
.id: Supply a string to create a new variable which gives a unique identifier for each created row.

Value

A data.frame with rows duplicated according to weights.

Examples

df <- data.frame(x = c("a", "b"), n = c(2, 3))
df |> uncount(n)
#>   x
#> 1 a
#> 2 a
#> 3 b
#> 4 b
#> 5 b
# Or equivalently:
df |> expand_counts(n)
#>   x
#> 1 a
#> 2 a
#> 3 b
#> 4 b
#> 5 b