## Operation with Matrices

Good! Now we know how to create and customize matrices. It's time to consider the operations we can perform with matrices.

You can perform basic math operations with matrices. Performing a basic operation between a matrix and a single number will perform the respective operation for all matrix elements. For example, for the given matrix below...

...we can multiply each element by 3.

As you can see, each matrix element was multiplied by 3. You can also use `mean()`

and `sum()`

functions for matrices. These functions will return the overall mean or total value, respectively. For example,

Additionally, you can also apply these functions to rows or columns separately. These functions are `rowSums()`

, `rowMeans()`

, `colSums()`

, `colMeans()`

. I think it's obvious what each function does according to their names. For example, let's calculate the column sums.

Let's practice a bit.

# Task

Given matrix named `m`

.

Your tasks are:

- Divide each element by 2, then add 1. Reassign the result to the
`m`

variable. - Output the matrix
`m`

. - Output the columns totals of the
`m`

matrix. - Output mean value of all
`m`

elements.

Everything was clear?

Course Content

R Introduction: Part II

# R Introduction: Part II

## Operation with Matrices

Good! Now we know how to create and customize matrices. It's time to consider the operations we can perform with matrices.

You can perform basic math operations with matrices. Performing a basic operation between a matrix and a single number will perform the respective operation for all matrix elements. For example, for the given matrix below...

...we can multiply each element by 3.

As you can see, each matrix element was multiplied by 3. You can also use `mean()`

and `sum()`

functions for matrices. These functions will return the overall mean or total value, respectively. For example,

Additionally, you can also apply these functions to rows or columns separately. These functions are `rowSums()`

, `rowMeans()`

, `colSums()`

, `colMeans()`

. I think it's obvious what each function does according to their names. For example, let's calculate the column sums.

Let's practice a bit.

# Task

Given matrix named `m`

.

Your tasks are:

- Divide each element by 2, then add 1. Reassign the result to the
`m`

variable. - Output the matrix
`m`

. - Output the columns totals of the
`m`

matrix. - Output mean value of all
`m`

elements.

Everything was clear?