This interactive R course covers everything from the basics, variables, and data types to advanced topics, such as recursion, file handling, and S3/S4 classes in R.

In today’s data-driven world, the ability to analyze large datasets is becoming a vital skill across industries. R, one of the most powerful languages for data analysis.
This interactive R course is designed for beginners, with no prior knowledge of R programming required. You will begin with fundamental concepts, such as R variables, data types in R, and basic functions like R print and R cat. As you progress, you will dive into more complex topics, including R vectors, lists, arrays, matrices, and data frames in R programming. You’ll also learn how to perform operations using arithmetic operators in R, relational operators in R, and logical operators in R. Further, the course covers advanced features like if statements in R, switch statements in R, loops in R, and recursion in R. 
Finally, you’ll gain hands-on experience with file handling in R, exception handling with try and except in R, and object-oriented programming using S3 and S4 classes in R.

Learn R

# Problem Statement
Implement a function `calculateLog()` that takes a `testVariable` and prints its `log`. If the **logarithmic value** of the `testVariable` is not possible, print "This operation is not allowed!"

> Use the `cat()` function for printing!

## Input
A `testVariable` containing the data whose **logarithmic value** needs to be found.

## Output
The correct output based on the `testVariable`.

## Sample Input
```
"a"
```
## Sample Output
```
This operation is not allowed!
```
## Test Yourself
Write your code in the given area. If you get stuck, you can look at the solution.

calculateLog <- function(testVariable)
{
    # Write your code here
    cat(" ")
}

calculateLog <- function(testVariable)
{
    tryCatch(
        {
            cat(log(testVariable))
        }, 
        error = function(e) 
        {
            cat("This operation is not allowed!")
        },
        warning = function(w) 
        {
            cat("This operation is not allowed!")
        })
}

---
In the next lesson, we have a solution review of this exercise.

Let's test your understanding of using try catch in R code.

Introduction to R

R variables

Data Structures in R

Operator in R

Conditional Statements in R

Loops in R

Function in R

Input/Output in R

Exception Handling in R

Classes in R

R Programming Challenges

Conclusion

Exercise 17: Try Catch

Problem Statement

Input

Output

Sample Input

Sample Output

Test Yourself