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.
Swipe to start coding
Given the matrix from the previous chapter.
- Assign this matrix to the
mvariable. - Output the transposed
mmatrix.
Oplossing
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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.
Swipe to start coding
Given the matrix from the previous chapter.
- Assign this matrix to the
mvariable. - Output the transposed
mmatrix.
Oplossing
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Awesome!
Completion rate improved to 5.56single
