Create, modify, and delete columns.

Usage

# S3 method for flowFrame
transmute(.data, ...)

Arguments

.data: A flowFrame
...: Name-value pairs. The name (the left side of the equals sign) gives the name of the column in the output. The right side of the equation performs computations using the names of each channel according to featureNames. Supports tidyselection.

Value

A flowFrame. The output has the following properties: * Columns created or modified through ... will be returned in the order specified by .... * The number of rows is not affected. * Columns given the value NULL will be removed. * The flowFrame's identifier will be preserved.

Examples


my_flowframe <- simulate_cytometry_data()$flowframe

 my_flowframe |>
   dplyr::transmute(new_feature = feature_1 + feature_2)
#> flowFrame object 'V1'
#> with 100 cells and 1 observables:
#>            name        desc     range  minRange  maxRange
#> $P1 new_feature new_feature       183         0       182
#> 25 keywords are stored in the 'description' slot