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R Programmingprogramming~15 mins

Error handling (tryCatch) in R Programming - Mini Project: Build & Apply

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Error handling with tryCatch in R
📖 Scenario: Imagine you are writing a small R program that divides numbers. Sometimes, the divisor might be zero, which causes an error. You want to handle this error gracefully so your program doesn't stop unexpectedly.
🎯 Goal: You will create a program that divides two numbers and uses tryCatch to handle division by zero errors by showing a friendly message instead of stopping.
📋 What You'll Learn
Create two numeric variables named numerator and denominator with exact values
Create a variable named result to store the division result
Use tryCatch to catch division errors
Print the result or an error message
💡 Why This Matters
🌍 Real World
Handling errors like division by zero is important in data analysis and scientific computing to avoid program crashes.
💼 Career
Error handling is a key skill for data scientists and programmers to write robust and user-friendly code.
Progress0 / 4 steps
1
Create numerator and denominator variables
Create a numeric variable called numerator and set it to 10. Create another numeric variable called denominator and set it to 0.
R Programming
Need a hint?

Use the assignment operator <- to create variables.

2
Create a result variable with default value
Create a variable called result and set it to NA to hold the division result before calculation.
R Programming
Need a hint?

Use NA to represent a missing value in R.

3
Use tryCatch to perform division safely
Use tryCatch to divide numerator by denominator and assign the result to result. If an error occurs, assign the string "Error: Division by zero" to result.
R Programming
Need a hint?

Inside tryCatch, put the division expression in the first argument, and define an error function that returns the error message string.

4
Print the result
Write a print statement to display the value of result.
R Programming
Need a hint?

Use print(result) to show the output.