The digital world we live in has given companies and people access to staggering amounts of data, and anyone that can make use of that to drive valuable insights stands to benefit. The ability to work with large amounts of data is becoming a standard requirement for countless jobs across multiple industries.

Enter R, probably the most well-known language for data analysis. It's been used for years due to its robust statistical functionality, outstanding graphing ability, and extensibility through packages.

This interactive course will get you up to speed and assumes no prior knowledge of R. You'll start with the very basics and work your way up to advanced concepts like exception handling. By the time you're done, you'll be able to write detailed, useful code in R yourself.

Learn R from Scratch

## What are `try` and `catch` in R language?
`try` is a keyword that represents the handling of exceptions caused by errors or warnings during the execution of code. Using `try` we can avoid the unwanted termination of code abruptly however, the error message is still displayed.

### Syntax for `try`

```r
try(<exceptionCause>)
# Pass `try` the object that might throw an exception
```

Let's have a look at an example:

# What are `try` and `catch` in R language?
`try` is a keyword that represents the handling of exceptions caused by errors or warnings during the execution of code. Using `try` we can avoid the unwanted termination of code abruptly however, the error message is still displayed.

## Syntax for `try`

```r
try(<exceptionCause>)
# Pass `try` the object that might throw an exception
```

Let's have a look at an example:

Let's learn how to actually perform exception handling using try catch.

Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

Try Catch

What are `try` and `catch` in R language?

Syntax for `try`