课程

Developing R Packages

中级技能水平

更新时间 2026年1月

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

免费开始课程

RProgramming

4 小时

15 视频

56 练习

4,550 经验值

2,426

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课程描述

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!

先决条件

Introduction to Writing Functions in R

1

Creating R Packages: From Data to Functions

Dive into the essentials of R package construction, from understanding the architecture, the critical R and man directories, to the significance of the DESCRIPTION and NAMESPACE files. Get hands-on with the usethis package as you create your own package skeleton and include data. Strengthen your R function writing skills, grasp best practices for package development, and get comfortable saving functions to a file. Finally, install your package locally using devtools.

Components of an R package

50 经验值

R package truths

50 经验值

What's needed in all R packages?

100 经验值

Required package components

100 经验值

Data and R Markdown template in an R package

50 经验值

Create an R package

100 经验值

Add data to the R package

100 经验值

Create an R package R Markdown template file

100 经验值

R Markdown template file layout

100 经验值

Building package functions

50 经验值

R function for converting distances

100 经验值

Install the R package and try it out

100 经验值

2

Designing R Packages: Package Naming and Dependencies

Learn the advantages of creating packages versus using scripts, exploring the impact on code organization, reproducibility, collaboration, and sharing. Discover effective strategies for structuring code and functions within the R directory, and choosing an appropriate name and license for your package. Finally, you’ll learn how to manage CRAN package dependencies.

More package structure

50 经验值

Comparing packages and scripts

50 经验值

Checking your package name

100 经验值

Choosing an appropriate license for your package

100 经验值

Package build

50 经验值

Adding and testing a new function in the package

100 经验值

Debug errors with load_all()

100 经验值

Differences between check() errors, warnings, and notes

50 经验值

Package dependencies

50 经验值

Types of R package dependencies

100 经验值

Set package dependencies

100 经验值

Set more package dependencies

100 经验值

3

Package Documentation: Generating Help Files and Vignettes

Harness the power of examples in documentation by creating function examples with roxygen2. Understand the significance of examples in clarifying function behavior and identifying key components of a well-documented R function. Explore the purpose of vignettes in R package documentation and learn best practices for creating engaging vignettes and evaluating their content and quality through metadata analysis.

Help files with R packages

50 经验值

Order of help file components

100 经验值

Exported and non-exported functions

100 经验值

Documentation with roxygen2

50 经验值

Function documentation starters

100 经验值

Function argument documentation

100 经验值

Function returns and exporting

100 经验值

Generate help file documentation

100 经验值

Getting started with R package vignettes

50 经验值

Browse package vignette

100 经验值

Properties of vignettes and articles

50 经验值

Designing R package vignettes

50 经验值

Generate an R package vignette skeleton

100 经验值

Design an R package vignette

100 经验值

Build package vignettes

100 经验值

4

Testing R Packages: Using Unit Tests and Robust Checks

Identify why the unit tests are important to package development and maintenance and learn how to implement the testthat package for unit tests. Convert R examples into expectations to build your unit test knowledge. You’ll then gain an understanding on how to document your package data and run some final checks to ensure you have developed a robust R package.

50 经验值

Advantages of unit testing

50 经验值

Set up your package for testing

100 经验值

Create a testing file

100 经验值

Exploring expect statements

50 经验值

Convert an example into a test

100 经验值

Check for warnings and errors

100 经验值

Check for output and identicalness

50 经验值

Storing expectations as unit tests and running tests

50 经验值

Fix expectation errors

100 经验值

Run a test on function examples

100 经验值

Run all tests in the package

100 经验值

Final steps

50 经验值

Finalize your DESCRIPTION file

100 经验值

Document your data

100 经验值

Check your R package

100 经验值

Congratulations!

50 经验值

Developing R Packages

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