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

**head in R**

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

**Syntax**

`head(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 head() 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 first three rows of the data frame using the head() 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("First three rows of data frame", "\n")
head(df, 3)
```

**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
First three rows of data frame
c1 c2 c3 c4 c5
1 a e i m q
2 b f j n r
3 c g k o s
```

While using the head() function, we passed 3: a positive integer as an argument, which indicates the first 3 parts or, in our case, its first 3 rows of the data frame.

**Using head() function on Vector**

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

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

**Output**

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

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

**Using head() 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 first 3 rows of the matrix using the head() function.

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

**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 head() function to get first 3 rows
[,1] [,2] [,3]
[1,] 1 6 11
[2,] 2 7 12
[3,] 3 8 13
```

We used the head() function and pass the matrix and number of rows as arguments, and it returned the matrix with the first three rows.

**Using head() function on inbuilt dataset**

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

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

`df <- datasets::USArrests`

Now, use the head() function to get the first five rows of the dataset.

```
df <- datasets::USArrests
head(df, 5)
```

**Output**

```
Murder Assault UrbanPop Rape
Alabama 13.2 236 58 21.2
Alaska 10.0 263 48 44.5
Arizona 8.1 294 80 31.0
Arkansas 8.8 190 50 19.5
California 9.0 276 91 40.6
```

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

That is it for the head() 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.