pipeflow

A lightweight yet powerful framework for building robust data analysis pipelines. With {pipeflow}, you initialize a pipeline with your dataset and construct workflows step by step simply by adding R functions. You can modify, remove, or insert steps and parameters at any stage, while {pipeflow} ensures the pipeline’s integrity.

Thanks to its intuitive interface, using {pipeflow} quickly pays off in the beginning while in the long run will help you to keep a clear and structured overview of your project.

Why use {pipeflow}

• Easy to learn yet suited for growingly complex workflows
• Automatically manages function and parameter dependencies
• Promotes structured and modular code
• Facilitates reusability and collaboration
• Simplifies error handling and debugging

Installation

# Install release version from CRAN
install.packages("pipeflow")

# Install development version from GitHub
devtools::install_github("rpahl/pipeflow")

Usage

library(pipeflow)

Getting Started

It is recommended to read the vignettes in the order they are listed below:

• Get started with pipeflow
• Modifying existing pipelines
• Combining pipelines
• Collecting and filtering output

Advanced topics

• Split, map, and reduce
• Recursive self-modification