Deployment and Best Practices
Learn strategies for deploying your R projects securely and efficiently for production use.
Deployment and Best Practices is a free R Academy lesson on CoddyKit. This is lesson 3 of 3. Any 3 lessons of this learning path are free to read in full — after that, CoddyKit PRO unlocks every lesson, plus hands-on practice with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, and your progress syncs across the web and the CoddyKit app. The R Academy course includes 3 lessons in total.
Deployment and Best Practices in R
Deploying R applications efficiently ensures reliability and performance. Learn best practices for sharing and optimizing your R projects.
Deploying R Markdown Reports
R Markdown reports can be shared in HTML, PDF, or Word formats using the Knit button.
Deploying Shiny Apps
Shiny applications can be hosted on shinyapps.io or deployed on a Shiny server.
library(shiny)
deployApp('path/to/app')Using Plumber for APIs
Convert R scripts into web APIs using the plumber package.
library(plumber)
r <- plumb('api.R')
r$run(port=8000)Dockerizing R Applications
Use Docker to containerize and deploy R applications consistently across environments.
FROM rocker/r-base
RUN R -e 'install.packages("shiny")'
CMD ["R", "-e", "shiny::runApp('/app')"]Version Control with Git
Use Git for version control to track changes and collaborate effectively.
git init
git add .
git commit -m 'Initial commit'Optimizing R Code for Performance
Improve performance using vectorization and efficient data structures.
system.time({ result <- lapply(1:1000000, function(x) x^2) })Automating Workflows with RStudio Connect
RStudio Connect helps automate report generation, scheduling, and deployment.
Deployment Summary
Summary
In this lesson, you learned:
- How to deploy R Markdown reports and Shiny apps.
- How to use Plumber for APIs and Docker for deployment.
- Best practices for version control and performance optimization.
Learn R with an AI tutor — free
Write and run real code in your browser, get instant help from a 24/7 AI tutor, and pick up where you left off on the web or in the app.
- Courses
- 43
- Lessons
- 159
Frequently Asked Questions
Is the “Deployment and Best Practices” lesson free?
Yes — any 3 lessons of the R Academy learning path, including “Deployment and Best Practices”, are free to read in full here on the web. After that, CoddyKit PRO unlocks every lesson, plus interactive practice with a built-in code editor and a 24/7 AI tutor. The R Academy course includes 3 lessons in total.
What will I learn in “Deployment and Best Practices”?
Learn strategies for deploying your R projects securely and efficiently for production use. You practise R Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start R Academy?
No prior experience is required. R Academy on CoddyKit is structured for beginners through advanced learners, so you can start here or from the beginning and move at your own pace. This is lesson 3 of 3.
How long does the “Deployment and Best Practices” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this R Academy lesson?
Yes. Every R Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- R Markdown Basics
- Introduction to Shiny Apps
- Deployment and Best Practices