Group a flowFrame into a flowSet using one or more variables.

Usage

# S3 method for flowFrame
group_by(.data, ..., .add = FALSE, .drop = dplyr::group_by_drop_default(.data))

Arguments

.data: A flowFrame
...: Unquoted variables or columns to group by according to .data's featureNames.
.add: Unused.
.drop: Unused.

Value

A flowSet containing one flowFrame for each of the unique combinations of columns selected in .... Metadata about grouping columns will be stored in the output flowSet's pData.

Examples

my_flowframe <-
  simulate_cytometry_data()$flowframe |>
    dplyr::mutate(
      random_group =
        sample(
          c("a", "b"),
          size = nrow(simulate_cytometry_data()$flowframe),
          replace = TRUE
        )
    )

 my_flowframe |>
   dplyr::group_by(random_group)
#> A flowSet with 2 experiments.
#> 
#> column names(10): feature_1 feature_2 ... feature_9 feature_10
#>