Developing R Packages
The world of R has largely been built thanks to a myriad of packages, developed by experts from around the globe to address specific needs in data processing and analysis. If you’ve ever used R, you’ve benefited from the work of these developers. Now, it’s your turn to contribute to this dynamic community. Learn how to develop your own R packages with DataKoo Training.
Learn more
The Job & DataKoo Training
Mission
🛠️ Creating packages in R goes far beyond mere proficiency in the programming language 🖥️. It embodies the very essence of contributing to the community 🤝, highlighting a blend of technique 🔧 and innovation 💡.
In the vast universe 🌌 of data science, each R package serves as a building block 🧱 for crafting intricate solutions. They simplify the lives of researchers 🥼, data scientists 📊, and analysts around the globe 🌍, offering ready-to-use 🔑 solutions to recurring problems.
At DataKoo Training 🏫, we embrace this vision 👓. We firmly believe that at the heart ❤️ of every successful package lies a developer 👩💻 who understands not just the nuances of code, but the genuine needs of its users. It’s not just about creating a tool 🛠️, but forging an instrument 🎻 that will be used, modified, and cherished by the community 🌐.
That’s why our training in R package development is holistic 🌀. Beyond mastering syntax 📝 and best development practices, we emphasize empathy 🤗 for the end user, anticipating future needs 🔮, and crafting scalable solutions 🌱.
By joining this training 📚, you’re not just transforming into a skilled developer 🖥️, but truly an artisan 🎨 of data science. You’ll learn to see beyond the code 🕶️ and appreciate the impact 💥 of your contribution on the overall R ecosystem and its surrounding community 🌐.
Learn more
📚 Course content
Introduction to R packages
Packages are the pillars of the R programming language. Beyond simple extensions, they represent the richness and diversity of the R community. In this section, you will learn how these packages shape the R ecosystem, fostering knowledge sharing and continuous innovation.
Structure and components of a package
Each package is a structured work of art, with several key elements. Here you will delve into the technical details, from the package configuration to its internal structure, including the understanding of the various components that make it up.
Development of functions and documentation
Good code is clear, but good documentation makes it flawless. Learn not only how to design effective functions, but also how to accompany them with relevant documentation, ensuring that other users can easily understand and use your work.
Testing and Validation
Reliability is at the heart of any successful package. This section will introduce you to the essential techniques to test your code, making sure it works as expected and is free of errors or bugs.
Release and Maintenance
Creating a package is one step, but sharing it with the world is another. Learn the steps necessary to distribute your package, make it accessible to the community via platforms like CRAN, and the techniques to keep it up to date with changes in language and user needs.
Best practices and community
The R community is rich and diverse. Learn how to navigate this universe, interact with other developers, and adopt best practices to ensure your contribution is both appreciated and useful.
The profession in a few figures
growth of contributions
0
%
More than 15,000 packages are currently available on CRAN, with annual growth of 20%.
average salary
0
€
R developers specializing in package creation can expect an annual salary of around €50,000 in France.
professional use
0
%
80% of companies using R depend on at least 5 specific packages for their daily analyses.
Format & Prerequisites
1 day format
Introduction to R packages: Why and how?
Structure of an R package.
Creating a simple package with documentation.
Structure of an R package.
Creating a simple package with documentation.
2 day format
Day 1: Introduction to R packages
- Introduction to R packages
- Structure of an R package
- Create a simple package with documentation
Day 2: Testing and Publishing packages
- Integration of visualizations and data
- Testing and validation of a package
- Introduction to publishing on CRAN and GitHub
4 days format
Day 1: Introduction to R Packages
- Structure of an R package.
- Create a simple package with basic functions.
Day 2: Advanced Package Features
- Further documentation and namespaces.
- Integration of visualizations and data into a package.
- Golem package discovery
Day 3: Testing and Management
- Write tests for a package.
- Dependency management and versioning.
Day 4: Publishing and Maintenance
- Publishing a package on CRAN: procedure and best practices.
- Using GitHub for package development and distribution.
- Maintenance and update of an R package.
Prerequisite
Good command of R. Basic knowledge in programming and software development. Familiarity with the basic concepts of packages and libraries.
LEARN MORE
🗓 Schedule Your Consultation!
Do you have questions? Do you want to learn more about our courses or discuss a specific project? Schedule a personalized session with our team.
We look forward to collaborating with you and assisting you on your learning journey with Datakoo Training.
🚀 Why Choose Datakoo Training's Course?
proven expertise
Our trainers, with years of experience in the field, combine solid theory and proven practice to offer high-level teaching.
innovative pedagogy
The training is structured around interactive pedagogical approaches, combining real-life case studies, practical workshops, and tutoring sessions, to ensure a deep and applied understanding of the concepts.
market relevance
Designed to meet today’s business needs, our training specifically prepares you for the real challenges of the data world, making you immediately operational.
ongoing support
At Datakoo, your learning goes beyond training. We value lifelong learning and are here to answer your questions in a professional context. Get post-training support and regular updates on our platform. With Datakoo, you have a constant ally in your professional progression.
Do you want to take your skills to the next level today?
Discover the future of data training. With Datakoo, every lesson is an opportunity, every module a step towards excellence. You have the potential; we have the tools. Start your transformation today!