Handling Errors in R Programming Last Updated : 12 Jul, 2025 Comments Improve Suggest changes 5 Likes Like Report 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 :stop(...): It halts the evaluation of the current statement and generates a message argument. The control is returned to the top level.waiting(...): Its evaluation depends on the value of the error option warn. If the value of the warning is negative then it is ignored. In case the value is 0 (zero) they are stored and printed only after the top-level function completes its execution. If the value is 1 (one) then it is printed as soon as it has been encountered while if the value is 2 (two) then immediately the generated warning is converted into an error.tryCatch(...): It helps to evaluate the code and assign the exceptions.Condition Handling in RGenerally, if we encounter any unexpected errors while executing a program we need an efficient and interactive way to debug the error and know what went wrong. However, some errors are expected but sometimes the models fail to fit and throw an error. There are basically three methods to handle such conditions and errors in R :try(): it helps us to continue with the execution of the program even when an error occurs.tryCatch(): it helps to handle the conditions and control what happens based on the conditions.withCallingHandlers(): it is an alternative to tryCatch() that takes care of the local handlers.1. try-catch-finally in RUnlike other programming languages such as Java, C++ and so on, the try-catch-finally statements are used as a function in R. The main two conditions to be handled in tryCatch() are "errors" and "warnings".Syntax:check = tryCatch({ expression}, warning = function(w){ code that handles the warnings}, error = function(e){ code that handles the errors}, finally = function(f){ clean-up code})Example: R tryCatch( expr = { 1 + 1 print("Everything was fine.") }, error = function(e){ print("There was an error message.") }, warning = function(w){ print("There was a warning message.") }, finally = { print("finally Executed") } ) Output:[1] "Everything was fine."[1] "finally Executed"2. withCallingHandlers() in RIn R, withCallingHandlers() is a variant of tryCatch(). The only difference is tryCatch() deals with exiting handlers while withCallingHandlers() deals with local handlers. Example: R check <- function(expression){ withCallingHandlers(expression, warning = function(w){ message("warning:\n", w) }, error = function(e){ message("error:\n", e) }, finally = { message("Completed") }) } check({10/2}) check({10/0}) check({10/'noe'}) Output: Create Quiz Comment S shaonim8 Follow 5 Improve S shaonim8 Follow 5 Improve Article Tags : R Language R-ControlFlow R Error-handling Explore IntroductionR Programming Language - Introduction 4 min read Interesting Facts about R Programming Language 4 min read R vs Python 5 min read Environments in R Programming 3 min read Introduction to R Studio 4 min read How to Install R and R Studio? 4 min read Creation and Execution of R File in R Studio 5 min read Clear the Console and the Environment in R Studio 2 min read Hello World in R Programming 2 min read Fundamentals of RBasic Syntax in R Programming 3 min read Comments in R 3 min read R-Operators 5 min read R-Keywords 2 min read R-Data Types 5 min read VariablesR Variables - Creating, Naming and Using Variables in R 5 min read Scope of Variable in R 5 min read Dynamic Scoping in R Programming 5 min read Lexical Scoping in R Programming 4 min read Input/OutputTaking Input from User in R Programming 7 min read Printing Output of an R Program 4 min read Print the Argument to the Screen in R Programming - print() Function 2 min read Control FlowControl Statements in R Programming 4 min read Decision Making in R Programming - if, if-else, if-else-if ladder, nested if-else, and switch 3 min read Switch case in R 2 min read For loop in R 5 min read R - while loop 5 min read R - Repeat loop 2 min read goto statement in R Programming 2 min read Break and Next statements in R 3 min read FunctionsFunctions in R Programming 5 min read Function Arguments in R Programming 4 min read Types of Functions in R Programming 6 min read Recursive Functions in R Programming 4 min read Conversion Functions in R Programming 4 min read Data StructuresData Structures in R Programming 4 min read R Strings 6 min read R-Vectors 4 min read R-Lists 6 min read R - Array 7 min read R-Matrices 10 min read R-Factors 4 min read R-Data Frames 6 min read Object Oriented ProgrammingR-Object Oriented Programming 7 min read Classes in R Programming 3 min read R-Objects 3 min read Encapsulation in R Programming 3 min read Polymorphism in R Programming 6 min read R - Inheritance 7 min read Abstraction in R Programming 3 min read Looping over Objects in R Programming 5 min read S3 class in R Programming 8 min read Explicit Coercion in R Programming 3 min read Error HandlingHandling Errors in R Programming 3 min read Condition Handling in R Programming 5 min read Debugging in R Programming 3 min read File HandlingFile Handling in R Programming 3 min read Reading Files in R Programming 9 min read Writing to Files in R Programming 2 min read Working with Binary Files in R Programming 5 min read Like