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 — lesson 3 of 3. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, one of 3 lessons in the course, and your progress syncs across the web and the CoddyKit app.
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Deployment and Best Practices in R
Deploying R applications efficiently ensures reliability and performance. Learn best practices for sharing and optimizing your R projects.
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Deploying R Markdown Reports
R Markdown reports can be shared in HTML, PDF, or Word formats using the Knit button.
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Deploying Shiny Apps
Shiny applications can be hosted on shinyapps.io or deployed on a Shiny server.
library(shiny)
deployApp('path/to/app')4
Using Plumber for APIs
Convert R scripts into web APIs using the plumber package.
library(plumber)
r <- plumb('api.R')
r$run(port=8000)5
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')"]6
Version Control with Git
Use Git for version control to track changes and collaborate effectively.
git init
git add .
git commit -m 'Initial commit'7
Optimizing R Code for Performance
Improve performance using vectorization and efficient data structures.
system.time({ result <- lapply(1:1000000, function(x) x^2) })8
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Automating Workflows with RStudio Connect
RStudio Connect helps automate report generation, scheduling, and deployment.
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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.
Frequently asked questions
Is the “Deployment and Best Practices” lesson free?
Yes — the full text of “Deployment and Best Practices” is free to read here on the web, and the R Academy course includes 3 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the R Academy course, upgrade to CoddyKit PRO.
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; this is — lesson 3 of 3, so you can start here or from the beginning and move at your own pace.
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