TSLSTMplus (version 1.0.6)

minmax_scale: Min-Max Scaling of a Matrix

Description

This function applies min-max scaling to a matrix. Each column of the matrix is scaled independently. The scaling process transforms the values in each column to a specified range, typically [0, 1]. The function subtracts the minimum value of each column (if `min` is `TRUE` or a numeric vector) and then divides by the range of each column (if `range` is `TRUE` or a numeric vector).

Usage

minmax_scale(x, min = TRUE, range = TRUE)

Value

A matrix with the same dimensions as `x`, where each column has been scaled according to the min-max scaling process.

Arguments

x

A numeric matrix whose columns are to be scaled.

min

Logical or numeric vector. If `TRUE`, the minimum value of each column is subtracted. If a numeric vector is provided, it must have a length equal to the number of columns in `x`, and these values are subtracted from each corresponding column.

range

Logical or numeric vector. If `TRUE`, each column is divided by its range. If a numeric vector is provided, it must have a length equal to the number of columns in `x`, and each column is divided by the corresponding value in this vector.

Examples

# \donttest{
  data <- matrix(rnorm(100), ncol = 10)
  scaled_data <- minmax_scale(data)
# }