# Create matrix of zeros in R

R programming language offers us a variety of ways to create a matrix and fill it in such a way that all the element values are equivalent to 0. Let’s see those ways –

**Using matrix() method**

The in-built matrix() method in R can be used to create a matrix with a given set of values, that is, n x m dimensions, and initialize it with a specified value. All the elements are initialized with the same value. If either of the m or n parameters is not specified, an attempt is made to infer the missing value from the length of data and the other parameter(s) that are given. If neither of them is given, then a one-column matrix is returned as an output. This matrix can then be stored in a variable and then its elements can be accessed and manipulated.

Syntax:matrix(0, n, m)

Parameters:

- 0 – value to initialize the matrix with
- n – no. of rows
- m – no. of columns

Return type :a matrix or scalar of zeros

**Example: **

## R

`# initializing a matrix of 0s of 2*3 dimensions` `mat = ` `matrix` `(0, 2, 3)` ` ` `# print the matrix` `print ` `(mat)` |

**Output**

[,1] [,2] [,3]

[1,] 0 0 0

[2,] 0 0 0

** Using replicate() method**

The replicate() method is used to create a replica of the second argument of the method vec, by appending it n times. It applies the same specified vector repeatedly to form a 2D matrix. The method belongs to the apply set of functions used in R and uses it as its parent or base class. The second argument is specified by enclosing within numeric(int) value. Also, the numeric method creates a real vector of the specified length. The elements of the vector are all equal to 0 on numeric application.

Syntax:replicate ( n , numeric (m) )

Parameter :

- n – no. of rows
- numeric(m) – no. of columns in the matrix, specified as a numeric parameter

Return type :a matrix or scalar of zeros

**Example:**

## R

`# initializing a matrix of 0s of 2*3 dimensions` `mat = ` `replicate` `( 6, ` `numeric` `(3) )` ` ` `# print the matrix` `print ` `(` `"Matrix : "` `)` `print ` `(mat)` |

**Output**

[,1] [,2] [,3] [,4] [,5] [,6]

[1,] 0 0 0 0 0 0

[2,] 0 0 0 0 0 0

[3,] 0 0 0 0 0 0

** Using rep() method **

rep() method in R can be used to create a one row matrix, which creates the number of columns equivalent to the value in the second argument of the method. The first argument, specifies the vector to repeat and stack together y times, which in this case is 0. We can specify 0L instead of 0.

Syntax:rep (0 , y)

Arguments :y – number of columns in matrix

Return type :Single row matrix of zeros

**Example:**

## R

`print ` `(` `"Matrix : "` `)` ` ` `# create a matrix of single 0 and 10 columns` `rep` `(0, 10)` |

**Output**

[1] “Matrix : “

[1] 0 0 0 0 0 0 0 0 0 0

### Using Numeric() and integer()

There are several other methods, like numeric() or integer() which can be used to create a vector of zeros. All of these methods takes an argument the length, specifying the number of zeros to combine. The behavior of integer() and numeric() methods is almost same.

**Syntax:**

numeric(size)

integer(size)

**Example:**

## R

`print ` `(` `"Matrix using numeric() method:"` `)` `# create a matrix of single 0 and 8 columns` `numeric ` `(8)` ` ` `print ` `(` `"Matrix using integer() method:"` `)` `# create a matrix of single 0 and 5 columns` `integer ` `(5)` |

**Output**

[1] “Matrix using numeric() method:”

[1] 0 0 0 0 0 0 0 0

[1] “Matrix using integer() method:”

[1] 0 0 0 0 0