If you have a large dataset to analyze, it will get tough to condense a huge dataset that has 30+ columns and have thousands of rows. To solve this problem, you can use the head() or tail() function. It gives you a snapshot of that large dataset. In this tutorial, we will see how to use a tail() function with different R data types.

**tail() in R**

The tail() is a built-in R function that returns the last part of a vector, matrix, table, data frame, or function. To get the last part of the object in R, use the tail() function. The tail() method in R is a generic function that can be extended in other classes.

**Syntax**

`tail(x, n, …)`

**Parameters**

The **x** is an object that can be a vector, matrix, table, or data frame.

The **n **is a positive single integer. If positive or zero, size for the resulting object: number of elements for a vector.

**Implementation of R tail() function**

To create a data frame in R, use the data.frame() function. We passed the named vector as an argument, and it returns the data frame. Now, let’s fetch the last three rows of the data frame using the tail() function.

```
df <- data.frame(c1 = c("a", "b", "c", "d"),
c2 = c("e", "f", "g", "h"),
c3 = c("i", "j", "k", "l"),
c4 = c("m", "n", "o", "p"),
c5 = c("q", "r", "s", "t"))
df
cat("Last two rows of data frame", "\n")
tail(df, 2)
```

**Output**

```
c1 c2 c3 c4 c5
1 a e i m q
2 b f j n r
3 c g k o s
4 d h l p t
Last two rows of data frame
c1 c2 c3 c4 c5
3 c g k o s
4 d h l p t
```

While using the tail() function, we passed 2: a positive integer as an argument, which indicates the last 2 parts or, in our case, its first two rows of the data frame.

**Using tail() function on Vector**

If you apply the tail() function on a Vector, it will return the number of elements equal to the n parameter of the tail() function.

```
rv <- 1:10
rv
cat("Last five integers of vector", "\n")
tail(rv, 5)
```

**Output**

```
[1] 1 2 3 4 5 6 7 8 9 10
Last five integers of vector
[1] 6 7 8 9 10
```

In this example, the **n** parameter of the tail() function is 5, which means it will return the last five elements of the vector, which it did in the output.

**Using tail() function on Matrix()**

To create a matrix in R, use the **matrix****() **function. The dimension of the Matrix is defined by **nrow **and **ncol **property.

Let’s create a matrix of 5 X 3 and fetch the last 2 rows of the matrix using the tail() function.

```
rv <- 1:15
mtrx <- matrix(rv, nrow = 5, ncol = 3)
mtrx
cat("Using tail() function to get the last 2 rows", "\n")
tail(mtrx, 2)
```

**Output**

```
[,1] [,2] [,3]
[1,] 1 6 11
[2,] 2 7 12
[3,] 3 8 13
[4,] 4 9 14
[5,] 5 10 15
Using tail() function to get the last 2 rows
[,1] [,2] [,3]
[4,] 4 9 14
[5,] 5 10 15
```

In this example, we used the tail() function and passed the matrix and number of rows as arguments, and it returns the matrix with the last two rows.

**Using tail() function on built-in dataset**

We will import the **ChickWeight** inbuilt R dataset and use the tail() function on that dataset.

To import the dataset as a data frame, use the following code.

`df <- datasets::ChickWeight`

Now, use the tail() function to get the last five rows of the dataset.

```
df <- datasets::ChickWeight
tail(df, 5)
```

**Output**

```
weight Time Chick Diet
574 175 14 50 4
575 205 16 50 4
576 234 18 50 4
577 264 20 50 4
578 264 21 50 4
```

As you can see that we only get the last five rows of the dataset.

That is it for the tail() function in R.

Krunal Lathiya is an Information Technology Engineer by education and web developer by profession. He has worked with many back-end platforms, including Node.js, PHP, and Python. In addition, Krunal has excellent knowledge of Data Science and Machine Learning, and he is an expert in R Language. Krunal has written many programming blogs, which showcases his vast expertise in this field.