Error Handling is a process in which we deal with unwanted or anomalous errors which may cause abnormal termination of the program during its execution. In R Programming, there are basically two ways in which we can implement an error handling mechanism. Either we can directly call the functions like stop() or warning(), or we can use the error options such as “warn” or “warning.expression”. The basic functions that one can use for error handling in the code :

In R programming, errors handling refers to the process of anticipating, detecting, and addressing errors that may occur during the execution of a program. Errors can occur due to various reasons, such as incorrect input data, programming errors, and unexpected events, and can cause the program to crash or produce incorrect results. Therefore, errors handling is an essential part of programming, as it ensures that programs can continue to run even in the presence of errors.

R provides several mechanisms for errors handling, including tryCatch(), stop(), and warning(). The tryCatch() function is used to handle errors and exceptions in R code. It allows developers to specify actions to take when an error occurs, such as printing an error message or executing alternative code.

The stop() function is used to generate an error message and stop the execution of the program when a condition is met. This function is useful for ensuring that programs do not continue to run when certain critical errors occur.

The warning() function is used to generate a warning message when a non-critical error occurs during the execution of a program. This function allows developers to continue running the program while being aware of potential issues.

In summary, errors handling is crucial in R programming to ensure that programs can continue to run and produce accurate results even in the presence of errors. R provides several mechanisms for handling errors, including tryCatch(), stop(), and warning().