Hoppa till huvudinnehållet

Kurs

Developing R Packages

MedelnivåKunskapsnivå

Uppdaterad 2026-01

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

Starta kursen gratis

RProgramming

4 tim

15 videor

56 Övningar

4,550 XP

2,473

Intyg om genomförande

Omtyckt av lärande på tusentals företag

Utbildar du ett team?

Prova för företag

Kursbeskrivning

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!

Förkunskapskrav

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

R package truths

What's needed in all R packages?

Required package components

Data and R Markdown template in an R package

Create an R package

Add data to the R package

Create an R package R Markdown template file

R Markdown template file layout

Building package functions

R function for converting distances

Install the R package and try it out

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

Comparing packages and scripts

Checking your package name

Choosing an appropriate license for your package

Package build

Adding and testing a new function in the package

Debug errors with load_all()

Differences between check() errors, warnings, and notes

Package dependencies

Types of R package dependencies

Set package dependencies

Set more package dependencies

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

Order of help file components

Exported and non-exported functions

Documentation with roxygen2

Function documentation starters

Function argument documentation

Function returns and exporting

Generate help file documentation

Getting started with R package vignettes

Browse package vignette

Properties of vignettes and articles

Designing R package vignettes

Generate an R package vignette skeleton

Design an R package vignette

Build package vignettes

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.

Advantages of unit testing

Set up your package for testing

Create a testing file

Exploring expect statements

Convert an example into a test

Check for warnings and errors

Check for output and identicalness

Storing expectations as unit tests and running tests

Fix expectation errors

Run a test on function examples

Run all tests in the package

Final steps

Finalize your DESCRIPTION file

Document your data

Check your R package

Congratulations!

Developing R Packages

Kurs
slutförd

Tjäna ett prestationsbevis

Lägg till det här beviset i din LinkedIn-profil, ditt CV eller din meritförteckning
Dela det i sociala medier och i din medarbetarutvärderingRegistrera dig nu

Gå med 19 miljoner lärande och börja Developing R Packages idag!

Utveckla dina datakunskaper med DataCamp för mobilen

Gör framsteg när du är på språng med våra mobila kurser och dagliga 5-minuters kodningsutmaningar.