R Academy · Lesson

Debugging Techniques

Learn strategies for identifying and fixing errors in your code effectively.

Lesson 3 of 310 steps

Debugging Techniques 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 Debugging in R

Debugging helps identify and fix errors in your code. In this lesson, you'll learn different debugging techniques in R.

Understanding Errors and Warnings

Errors stop code execution, while warnings indicate potential issues.

log(-1) # Warning: NaNs produced

Using print() for Debugging

The print() function helps inspect variables at different stages.

x <- 5
print(x)

Using traceback()

The traceback() function shows the sequence of function calls before an error.

f <- function() stop('Error')
f()
traceback()

Using debug()

The debug() function allows step-by-step execution of a function.

my_function <- function(x) {
  y <- x + 1
  return(y)
}
debug(my_function)
my_function(5)

Using browser()

The browser() function pauses execution, allowing inspection of variables.

my_function <- function(x) {
  browser()
  y <- x + 1
  return(y)
}
my_function(5)

Using tryCatch()

The tryCatch() function helps handle errors gracefully.

result <- tryCatch({
  log(-1)
}, warning = function(w) 'Warning occurred',
   error = function(e) 'Error occurred')
print(result)

Using try()

The try() function prevents script termination due to an error.

result <- try(log(-1), silent = TRUE)
print(result)

Summary

In this lesson, you learned:

How to identify and fix errors.
How to use debugging tools like traceback(), debug(), and browser().
How to handle errors gracefully using tryCatch() and try().

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Frequently Asked Questions

Is the “Debugging Techniques” lesson free?

Yes — any 3 lessons of the R Academy learning path, including “Debugging Techniques”, 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 “Debugging Techniques”?

Learn strategies for identifying and fixing errors in your code effectively. 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 “Debugging Techniques” 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.

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