Course Content

R Introduction: Part II

1. Matrices

What is a Matrix?matrix() Function Transposing Matrix Indexation Namings Operation with Matrices Sales and Revenue

2. Data Frames

What is a Data Frame?data.frame() Function Columns Accessors Logical Indexing Manipulating Columns Manipulating Rows Data Extraction

3. Lists

What is a List?Namings Extracting List Elements Modifying

Transposing

Good! Matrices are widely used in math, starting with different geometrical transformations, and ending with neural networks (yes, matrices are commonly used in AI).

What if we have a matrix and want to 'rotate' it? (or vice versa)?

In math, this operation is called transposing. It swaps columns with rows. In R this operation is implemented under t() function. This function receives the matrix you want to transpose as the parameter. For example,


              123456
            
# Initial matrix
m <- matrix(1:6, nrow = 2)
m # Output initial matrix

# Output transposed matrix
t(m)

As you can see, the initial matrix was 2x3 (2 rows and 3 columns), and the transposed is 3x2.

Task

Swipe to show code editor

Given the matrix from the previous chapter.

Assign this matrix to the m variable.
Output the transposed m matrix.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 1. Chapter 3

Transposing

Good! Matrices are widely used in math, starting with different geometrical transformations, and ending with neural networks (yes, matrices are commonly used in AI).

What if we have a matrix and want to 'rotate' it? (or vice versa)?


              123456
            
# Initial matrix
m <- matrix(1:6, nrow = 2)
m # Output initial matrix

# Output transposed matrix
t(m)

As you can see, the initial matrix was 2x3 (2 rows and 3 columns), and the transposed is 3x2.

Task

Swipe to show code editor

Given the matrix from the previous chapter.

Assign this matrix to the m variable.
Output the transposed m matrix.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 1. Chapter 3

Transposing

Good! Matrices are widely used in math, starting with different geometrical transformations, and ending with neural networks (yes, matrices are commonly used in AI).

What if we have a matrix and want to 'rotate' it? (or vice versa)?


              123456
            
# Initial matrix
m <- matrix(1:6, nrow = 2)
m # Output initial matrix

# Output transposed matrix
t(m)

As you can see, the initial matrix was 2x3 (2 rows and 3 columns), and the transposed is 3x2.

Task

Swipe to show code editor

Given the matrix from the previous chapter.

Assign this matrix to the m variable.
Output the transposed m matrix.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Good! Matrices are widely used in math, starting with different geometrical transformations, and ending with neural networks (yes, matrices are commonly used in AI).

What if we have a matrix and want to 'rotate' it? (or vice versa)?


              123456
            
# Initial matrix
m <- matrix(1:6, nrow = 2)
m # Output initial matrix

# Output transposed matrix
t(m)

As you can see, the initial matrix was 2x3 (2 rows and 3 columns), and the transposed is 3x2.

Task

Swipe to show code editor

Given the matrix from the previous chapter.

Assign this matrix to the m variable.
Output the transposed m matrix.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 1. Chapter 3

Switch to desktop for real-world practiceContinue from where you are using one of the options below