Keep or drop columns using their names and types.
Arguments
- .data
- ...
One or more unquoted expressions separated by commas. Variables names (as specified by
featureNames
) can be used as if they were positions in theflowFrame
). Supports tidyselection.
Value
A flowFrame
. The output has the following properties:
* Rows are not affected.
* Output columns are a subset of input columns, potentially with a different order. Columns will be renamed if new_name = old_name form is used.
* The flowFrame
's identifier
will be preserved.
Examples
my_flowframe <- simulate_cytometry_data()$flowframe
my_flowframe |>
dplyr::select(feature_1)
#> flowFrame object 'V1'
#> with 100 cells and 1 observables:
#> name desc range minRange maxRange
#> $P1 feature_1 feature_1 101 0 100
#> 25 keywords are stored in the 'description' slot