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Introduction to the {targets} R package

Home Page: https://wlandau.github.io/targets-intro/

License: MIT License

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data-science high-performance-computing make pipeline r r-package r-targetopia reproducibility reproducible-research rstats

targets-intro's Introduction

Introduction to the {targets} R package

The {targets} package is a Make-like pipeline tool for statistics and data science in R. With {targets}, you can maintain a reproducible workflow without repeating yourself. {targets} skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. An up-to-date {targets} pipeline is tangible evidence that the output aligns with the code and data, which substantiates trust in the results. This presentation explains the purpose of {targets}, how to get started, and the major features.

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