In R, a matrix is a two-dimensional array-like data structure, where elements are stored in rows and columns. Matrices are a powerful data structure for numerical computations and are commonly used in many areas, including linear algebra, statistics, and data analysis. In R, matrices can be created using the `matrix`

function, and you can access elements in a matrix using row and column indices. Matrices can be manipulated using various functions and operators, including addition, subtraction, multiplication, and transposition.

**Here’s a simple example of creating a matrix in R:**

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mat <- matrix(c(1,2,3,4), nrow = 2, ncol = 2, byrow = TRUE) print(mat) |

The output will be:

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[,1] [,2] [1,] 1 3 [2,] 2 4 |

In this example, we created a matrix with `2`

rows and `2`

columns, and assigned it to the variable `mat`

. The elements of the matrix are stored in the vector `c(1,2,3,4)`

, and we set `byrow = TRUE`

to indicate that the elements should be filled in by rows.

**You may also like: What is Matrix in R? Explained with Examples**

**Solution:** **In R, you can multiply two matrices using the %*% operator. Here’s an example**

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mat1 <- matrix(c(1,2,3,4), nrow = 2, ncol = 2, byrow = TRUE) mat2 <- matrix(c(5,6,7,8), nrow = 2, ncol = 2, byrow = TRUE) result <- mat1 %*% mat2 print(result) |

The output will be:

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[,1] [,2] [1,] 19 22 [2,] 43 50 |

In this example, we first create two matrices `mat1`

and `mat2`

, and then multiply them using the `%*%`

operator to get the result matrix. The product of two matrices is calculated using the standard matrix multiplication formula, where each element in the resulting matrix is the dot product of the corresponding row in the first matrix and the corresponding column in the second matrix.

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