flowplyr

A modern and flexible framework for flow cytometry data in R

flowplyr is a reimagined foundation for working with flow cytometry data in R — designed for modern data science workflows.

It aims to make flow cytometry data accessible, composable, and fully compatible with the tidyverse, functional programming, and other R ecosystems, without forcing any particular paradigm.

✨ Key goals

• Modern infrastructure – foregoes the use of S4 OOP to provide a simple, transparent data structure.
• Functional and flexible – flowplyr makes flow data accessible, so you can purrr, dplyr, data.table, or base R as you would any type of data.
  
• Interoperable design – easily integrate your flow data analysis with your normal choice of downstream tools for visualization, modeling, saving, and reporting.
• Unified data representation – handles all fcs-file slots (i.e. expression data and metadata)

📦 Installation

NB! flowplyr is under heavy development and subject to sweeping, rolling changes

You can install the development version of flowplyr from GitHub with:

# install.packages("pak")
pak::pak("hugoakerstrand/flowplyr")

Example

TBD