Summarize a flowSet.
Arguments
- .data
A
flowSet
- ...
Name-value pairs of summary functions. The name will be the name of the variable in the result.
- .by
Optionally, a selection of columns to group by for just this operation, functioning as an alternative to group_by().
- .groups
Grouping structure of the result. * "drop_last": dropping the last level of grouping. * "drop": All levels of grouping are dropped. * "keep": Same grouping structure as .data. * "rowwise": Each row is its own group.
Examples
my_flowset <- simulate_cytometry_data()$flowset
my_flowset |>
dplyr::summarize(feature_1_mean = mean(feature_1))
#> # A tibble: 5 × 4
#> feature_1_mean .flowframe_identifier patient cell_type
#> <dbl> <chr> <chr> <chr>
#> 1 47.7 V1 patient_1 population_a
#> 2 54.0 V2 patient_1 population_b
#> 3 51.2 V3 patient_2 population_a
#> 4 51.2 V4 patient_2 population_b
#> 5 50.9 V5 patient_3 population_a