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 — 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.
1
Introduction to Workspaces in R
In R, a workspace is the environment where you store objects such as variables, functions, and datasets.
2
Checking Your Workspace
You can see all objects stored in your workspace using:
ls()3
Removing Objects
To clear specific objects from your workspace, use:
rm(object_name)4
Clearing the Entire Workspace
To remove all objects and start fresh:
rm(list = ls())5
Saving and Loading Workspaces
You can save your workspace for later use.
save.image('workspace.RData')6
Loading a Saved Workspace
To restore your saved workspace:
load('workspace.RData')7
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.
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9
Setting a Working Directory
You can set a working directory to manage files efficiently:
setwd('/path/to/folder')10
Summary
In this lesson, you learned how to:
- Check and clear the workspace.
- Save and load workspace files.
- Use R projects for better organization.
Frequently asked questions
Is the “Workspaces and Projects” lesson free?
Yes — the full text of “Workspaces and Projects” 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 “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; 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 “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