Count the observations in each group.

Usage

# S3 method for flowSet
count(x, ..., wt = NULL, sort = FALSE, name = NULL)

Arguments

x: A flowSet
...: Variables to group by, named according to featureNames or the columns of the flowSet's pData
wt: If NULL (the default), counts the number of rows in each group. If a variable, computes sum(wt) for each group.
sort: If TRUE, will show the largest groups at the top.
name: If omitted, it will default to n. If there's already a column called n, it will use nn. If there's a column called n and nn, it'll use nnn, and so on, adding ns until it gets a new name.

Value

A data.frame containing the groupwise counts. If no columns are specified in `...`, the grouping is performed by experiment in the flowSet. Otherwise, the columns specified by `...` will be used for grouping.

Examples

my_flowset <- simulate_cytometry_data()$flowset

my_flowset |>
  dplyr::count()
#> # A tibble: 5 × 2
#>   .tidyFlowCore_identifier     n
#>   <chr>                    <int>
#> 1 V1                         100
#> 2 V2                         100
#> 3 V3                         100
#> 4 V4                         100
#> 5 V5                         100

my_flowset |>
  dplyr::count(cell_type)
#> # A tibble: 2 × 2
#>   cell_type        n
#>   <chr>        <int>
#> 1 population_a   300
#> 2 population_b   200