DataCamp

Developing R Packages

Name: Developing R Packages
Availability: InStock
Rating: 4.8 (151 reviews)

4.8(151)2k studentsINTERMEDIATEEnglish

Korshub's take

The Korshub Take

Building custom R packages provides a disciplined, formal structure for your code and data analyses. This intermediate course demystifies R package creation, introducing you to the modern suite of tools that automate documentation, testing, and function maintenance so your analytical pipelines remain robust and reproducible.

Who It's For

R programmers, statisticians, and data analysts looking to organize reusable functions, automate testing, and standardize project workflows.

Key Takeaways

R Tooling Ecosystem: Master essential package development packages including devtools, usethis, roxygen2, available, and testthat.
Documentation & Testing: Write inline function documentation with roxygen2 and implement unit tests with testthat to prevent regressions.
Practical Project: Build a custom unit conversion package hands-on to apply best practices using rmarkdown and modern R tools.

About this course

The expansive ecosystem of R packages may seem daunting at first glance, but don't worry! Acquiring the skill to develop your own R package is invaluable, regardless of whether you collaborate on your code with others. With a range of modern tools and packages at your fingertips, it's simpler than ever.

Discover the Benefits of Package Creation

Creating a package allows you to document your functions, enhancing their quality. It provides a formal structure for your code and analyses, enabling function improvement while tests verify no previous functionality is disrupted.

Practice Using R Package Development Tools

This course will guide you through these concepts, and as a bonus, you'll develop your own package focused on unit conversion. You'll learn how to use the devtools, usethis, roxygen2, available, and testthat packages as well as rmarkdown to speed up and improve your package development workflow.

Experience the Power of R Package Development

Get ready to dive into the dynamic world of R package development and empower yourself with a valuable toolset that can greatly enhance your data analysis journey!