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pipeflow  

Fast Interactive Data Analysis Pipelines
View on CRAN: Click here


Download and install pipeflow package within the R console
Install from CRAN:
install.packages("pipeflow")

Install from Github:
library("remotes")
install_github("cran/pipeflow")

Install by package version:
library("remotes")
install_version("pipeflow", "0.4.0")



Attach the package and use:
library("pipeflow")
Maintained by
Roman Pahl
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-12-02
Latest Update: 2025-07-26
Description:
A lightweight yet powerful framework for building robust data analysis pipelines. With 'pipeflow', you initialize a pipeline with your dataset and construct your workflow step by step by seamlessly adding R functions. Modify, remove, or insert steps at any stage while 'pipeflow' ensures the integrity and correctness of your pipeline. Designed to help you focus on the 'what' rather than the 'how', this package simplifies the implementation of complex workflows, making even large-scale data analysis projects manageable, adaptable, and reusable with ease.
How to cite:
Roman Pahl (2024). pipeflow: Fast Interactive Data Analysis Pipelines. R package version 0.4.0, https://cran.r-project.org/web/packages/pipeflow. Accessed 03 Oct. 2026.
Previous versions and publish date:
(2026-09-27 20:50), 0.1.1 (2024-12-02 13:41), 0.2.1 (2024-12-05 09:30), 0.2.2 (2024-12-22 22:20), 0.2.3 (2025-07-26 20:40), 0.3.0 (2026-06-15 09:50)
Other packages that cited pipeflow R package
View pipeflow citation profile
Other R packages that pipeflow depends, imports, suggests or enhances
Complete documentation for pipeflow
Functions, R codes and Examples using the pipeflow R package
Full pipeflow package functions and examples
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Maintainer: Lu Mao (view profile)

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