R for Data Science Cookbook

Handling errors in a function

If you are familiar with modern programming languages, you may have experience with how to use try, catch, and finally, block, to handle possible errors during development. Likewise, R provides similar error-handling operations in its functions. Thus, you can add error-handling mechanisms into R code to make programs more robust. In this recipe, we will introduce some basic error-handling functions in R.

Getting ready

Ensure that you completed the previous recipes by installing R on your operating system.

How to do it...

Perform the following steps to handle errors in an R function:

1. First, let's observe what an error message looks like:

   > 'hello world' + 3
   Error in "hello world" + 3 : non-numeric argument to binary operator ...