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You can use one of the following methods to remove NA values from a vector in R:

**Method 1: Remove NA Values from Vector**

data na(data)]

**Method 2: Remove NA Values When Performing Calculation Using na.rm**

max(data, na.rm=T) mean(data, na.rm=T) ...

**Method 3: Remove NA Values When Performing Calculation Using na.omit**

max(na.omit(data))mean(na.omit(data)) ...

The following example shows how to use each of these methods in practice.

**Method 1: Remove NA Values from Vector**

The following code shows how to remove NA values from a vector in R:

#create vector with some NA values data #remove NA values from vector data na(data)] #view updated vector data [1] 1 4 5 7 14 19

Notice that each of the NA values in the original vector have been removed.

**Method 2: Remove NA Values When Performing Calculation Using na.rm**

The following code shows how to use the **na.rm** argument to remove NA values from a vector when performing some calculation:

#create vector with some NA values data #calculate max value and remove NA values max(data, na.rm=T) [1] 19 #calculate mean and remove NA values mean(data, na.rm=T) [1] 8.333333 #calculate median and remove NA values median(data, na.rm=T) [1] 6

**Method 3: Remove NA Values When Performing Calculation Using na.omit**

The following code shows how to use the **na.omit** argument to omit NA values from a vector when performing some calculation:

#create vector with some NA values data #calculate max value and omit NA values max(na.omit(data)) [1] 19 #calculate mean and omit NA values mean(na.omit(data)) [1] 8.333333 #calculate median and omit NA values median(na.omit(data)) [1] 6

**Additional Resources**

The following tutorials explain how to perform other common operations with missing values in R:

How to Find and Count Missing Values in R

How to Impute Missing Values in R