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Data structures in R includes lists and matrices. A **list** is a one-dimensional data structure that can hold objects of different data types. A list is created using the **list()** function. A **Matrix** is a two-dimensional data structure that can hold objects of the same data types. Matrices are created using the **matrix()** function. This guide explains how to convert a list in R into a matrix.

## Unlist function in R

To convert a List in R to a Matrix, you need the** matrix()** function and the** unlist()** function as an argument. The unlist() function converts a list to a vector.

#### Syntax

`unlist(x)`

#### Arguments

x = a list

## Matrix function in R

To create a matrix, you need to call the **matrix()** function. By default, matrices are in column-wise order.

#### Syntax

`matrix(data, ncol, nrow, byrow)`

#### Arguments

- data = input vector
- ncol = number of columns to be created
- nrow = number of rows to be created
- byrow = Either TRUE or FALSE. By default, it’s set to FALSE and arranges elements by column.

## List to Matrix in R

Let’s see a simple example of converting a List to a Matrix.

### Creating a list

`demo_list<-list(1, 2, 3, 4, 5, 6, 7, 8, 9)`

### Converting a list to a matrix arranged column-wise

`matrix(unlist(demo_list), ncol=3)`

### Converting a list to a matrix arranged row-wise

`matrix(unlist(demo_list), ncol=3, byrow=TRUE)`

As mentioned above, matrix() takes a vector as an input. This is why we used the **unlist()** function to convert the list to a vector and then used it as an input for the **matrix()** function. The **byrow** argument allows us to control the arrangement of the elements of the input vector. If TRUE, then the input vector is arranged row-wise.