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Transposing | Matrices
R Introduction: Part II
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R Introduction: Part II

R Introduction: Part II

1. Matrices
2. Data Frames
3. Lists

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,

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

Tarea

Given the matrix from the previous chapter.

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

Tarea

Given the matrix from the previous chapter.

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

¿Todo estuvo claro?

Sección 1. Capítulo 3
toggle bottom row

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,

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

Tarea

Given the matrix from the previous chapter.

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

Tarea

Given the matrix from the previous chapter.

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

¿Todo estuvo claro?

Sección 1. Capítulo 3
toggle bottom row

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,

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

Tarea

Given the matrix from the previous chapter.

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

Tarea

Given the matrix from the previous chapter.

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

¿Todo estuvo claro?

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,

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

Tarea

Given the matrix from the previous chapter.

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

Sección 1. Capítulo 3
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