# Get Range of a Vector in R (With Examples)

In this tutorial, we will look at how to find the range of a vector in R with the help of some examples.

## How do you find the range of a vector in R?

You can use the built-in `range()` function to calculate the range of values in a vector in R. Alternatively, you can also use the R `max()` and `min()` functions.

Let’s now look at the two methods in detail with the help of some examples.

### Method 1 – Using the `range()` function

Use the following steps to compute the range of a vector using the `range()` function.

• Step 1 – Pass the vector to the `range()` function and get the range vector. The range vector contains the min and max values from the original vector.
• Step 2 – Take the difference between the max and the min values in the range vector to get the range.

Let’s look at an example.

Here, we will calculate the range of an integer vector containing values from 1 to 4.

```# create a vector
vec <- c(1, 2, 3, 4)
# get the range vector
range_vec = range(vec)
# display the range vector
print(range_vec)
# get the range
print(range_vec - range_vec)```

Output:

``` 1 4
 3```

Here, we first print the range vector and then compute the range. We get 3 as the range since 3 is the difference between the largest and the smallest value in the above vector (4 – 1 = 3).

What if our vector has `NA` values?

Let’s find out.

This time we will pass a vector with some `NA` values to the `range()` function.

```# create a vector with NA values
vec <- c(1, 2, NA, 3, 4, NA)
# get the range vector
range_vec = range(vec)
# display the range vector
print(range_vec)
# get the range
print(range_vec - range_vec)```

Output:

``` NA NA
 NA```

We get `NA` as the output. This is because any arithmetic operation with `NA` results in an `NA` in R.

To get the range of a vector with `NA` values, pass `na.rm=TRUE` as an argument to the `range()` function.

```# create a vector with NA values
vec <- c(1, 2, NA, 3, 4, NA)
# get the range vector
range_vec = range(vec, na.rm = TRUE)
# display the range vector
print(range_vec)
# get the range
print(range_vec - range_vec)```

Output:

``` 1 4
 3```

We now get the range of the above vector as 3.

### Method 2 – Using the `min()` and `max()` functions

Alternatively, you can also use a combination of the `min()` and the `max()` functions in R to compute the range of a vector. Use the following steps –

• Step 1 – Calculate the maximum value in the vector using the `max()` function.
• Step 2 – Calculate the minimum value in the vector using the `min()` function.
• Step 3 – Take the difference between the maximum and the minimum to get the range of the vector.

Let’s look at an example. We will use the same vector as above.

```# create a vector
vec <- c(1, 2, 3, 4)
# get the range of the vector
print(max(vec)-min(vec))```

Output:

` 3`

We get the range as 3.

Now, what if the vector has `NA` values?

Just like we got `NA` from the `range()` function, the `max()` and `min()` functions will also give `NA` if the vector contains `NA` value(s). To mitigate this, pass `na.rm=TRUE` to the `max()` and the `min()` functions.

```# create a vector with NA values
vec <- c(1, 2, NA, 3, 4, NA)
# get the range of the vector
print(max(vec, na.rm = TRUE) - min(vec, na.rm = TRUE))```

Output:

` 3`

We get the same range as above. Here, we compute the max and the min by excluding the `NA` values and then take their difference to get the range.

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