You can use the following methods to suppress warnings in R:

**Method 1: Suppress Warnings on Specific Line**

suppressWarnings(one line of code)

**Method 2: Suppress Warnings Globally**

suppressWarnings({ several lines of code just a bunch of code lots and lots of code })

The following examples show how to use each method in practice with the following code, which produces two warning messages:

#define character vector x <- c('1', '2', '3', NA, '4', 'Hey') #convert to numeric vector x_numeric <- as.numeric(x) #display numeric vector print(x_numeric) Warning message: NAs introduced by coercion [1] 1 2 3 NA 4 NA #define two vectors a <- c(1, 2, 3, 4, 5) b <- c(6, 7, 8, 9) #add the two vectors a + b [1] 7 9 11 13 11 Warning message: In a + b : longer object length is not a multiple of shorter object length

**Method 1: Suppress Warnings on Specific Line**

We can wrap the **suppressWarnings()** function around the **as.numeric()** function to suppress only the first warning in the code:

#define character vector x <- c('1', '2', '3', NA, '4', 'Hey') #convert to numeric vector suppressWarnings(x_numeric <- as.numeric(x)) #display numeric vector print(x_numeric) [1] 1 2 3 NA 4 NA #define two vectors a <- c(1, 2, 3, 4, 5) b <- c(6, 7, 8, 9) #add the two vectors a + b [1] 7 9 11 13 11 Warning message: In a + b : longer object length is not a multiple of shorter object length

Notice that the first warning message no longer appears but the second warning message still appears.

**Method 2: Suppress Warnings Globally**

We can wrap the **suppressWarnings({})** function around the entire chunk of code to suppress all warnings globally:

suppressWarnings({ #define character vector x <- c('1', '2', '3', NA, '4', 'Hey') #convert to numeric vector suppressWarnings(x_numeric <- as.numeric(x)) #display numeric vector print(x_numeric) [1] 1 2 3 NA 4 NA #define two vectors a <- c(1, 2, 3, 4, 5) b <- c(6, 7, 8, 9) #add the two vectors a + b [1] 7 9 11 13 11 })

Notice that we don’t receive any warnings this time because we wrapped the **suppressWarnings({})** function around the entire chunk of code.

**Additional Resources**

The following tutorials explain how to perform other common tasks in R:

How to Avoid R Warning: reached getOption(“max.print”)

How to Handle R Warning: glm.fit: algorithm did not converge

How to Fix: runtimewarning: invalid value encountered in double_scalars