The **range** is the difference between the largest and the smallest value in a dataset.

We can use the following syntax to find the range of a dataset in R:

data <- c(1, 3, NA, 5, 16, 18, 22, 25, 29) #calculate range max(data, na.rm=TRUE) - min(data, na.rm=TRUE) [1] 28

And we can use the **range()** function in base R to display the smallest and largest values in the dataset:

data <- c(1, 3, NA, 5, 16, 18, 22, 25, 29) #calculate range values range(data, na.rm=TRUE) [1] 1 29

This tutorial shows several examples of how to calculate the range of datasets in R.

**Related: **Measures of Dispersion: Range, Interquartile Range, Variance, & Standard Deviation

**Example 1: Calculate the Range of a Single Variable**

The following code shows how to calculate the range of a single variable in R:

#create data frame df <- data.frame(x=c(1, 3, NA, 5, 16, 18, 22, 25), y=c(NA, 4, 8, 9, 14, 23, 29, 31), z=c(2, NA, 9, 4, 13, 17, 22, 24)) #find range of variablexin the data frame max(df$x, na.rm=TRUE) - min(df$x, na.rm=TRUE) [1] 24

**Example 2: Calculate the Range of Multiple Variables**

The following code shows how to calculate the range of multiple variables in R:

#create data frame df <- data.frame(x=c(1, 3, NA, 5, 16, 18, 22, 25), y=c(NA, 4, 8, 9, 14, 23, 29, 31), z=c(2, NA, 9, 4, 13, 17, 22, 24)) #find range of variablexandyin the data frame sapply(df[c('x','y')], function(df) max(df, na.rm=TRUE) - min(df, na.rm=TRUE)) x y 24 27 #find range of all variables in the data frame sapply(df, function(df) max(df, na.rm=TRUE) - min(df, na.rm=TRUE)) x y z 24 27 22

**Related: **A Guide to apply(), lapply(), sapply(), and tapply() in R

**Example 3: Calculate the Range of an Entire Data Frame**

The following code shows how to calculate the range of all values in a data frame:

#create data frame df <- data.frame(x=c(1, 3, NA, 5, 16, 18, 22, 25), y=c(NA, 4, 8, 9, 14, 23, 29, 31), z=c(2, NA, 9, 4, 13, 17, 22, 24)) #find range of all values in entire data frame max(df, na.rm=TRUE) - min(df, na.rm=TRUE) [1] 30

In this example, the range of the entire data frame turned out to be 31 – 1 = **30**.

**Additional Resources**

How to Calculate Interquartile Range in R

How to Calculate Standard Deviation in R

Range vs. Standard Deviation: When to Use Each