Workspaces and Projects
Discover how to organize your R workspace and create projects for structured coding.
Workspaces and Projects 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.
Introduction to Workspaces in R
In R, a workspace is the environment where you store objects such as variables, functions, and datasets.
Checking Your Workspace
You can see all objects stored in your workspace using:
ls()Removing Objects
To clear specific objects from your workspace, use:
rm(object_name)Clearing the Entire Workspace
To remove all objects and start fresh:
rm(list = ls())Saving and Loading Workspaces
You can save your workspace for later use.
save.image('workspace.RData')Loading a Saved Workspace
To restore your saved workspace:
load('workspace.RData')Understanding R Projects
RStudio allows you to organize work using projects.
- Projects keep files, scripts, and datasets in one place.
- To create a new project, go to File > New Project.
Setting a Working Directory
You can set a working directory to manage files efficiently:
setwd('/path/to/folder')Summary
In this lesson, you learned how to:
- Check and clear the workspace.
- Save and load workspace files.
- Use R projects for better organization.
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Frequently Asked Questions
Is the “Workspaces and Projects” lesson free?
Yes — any 3 lessons of the R Academy learning path, including “Workspaces and Projects”, 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 “Workspaces and Projects”?
Discover how to organize your R workspace and create projects for structured coding. 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 “Workspaces and Projects” 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
- Getting Started with RStudio
- Basic Arithmetic and Variables
- Workspaces and Projects