min_max_normalize: Min-Max Normalization

In E2E: Ensemble Learning Framework for Diagnostic and Prognostic Modeling

Min-Max Normalization

Description

Normalizes a numeric vector to a range of 0 to 1 using min-max scaling.

Usage

min_max_normalize(x, min_val = NULL, max_val = NULL)

Arguments

x	A numeric vector to be normalized.
min_val	Optional. The minimum value to use for normalization. If NULL, the minimum of x is used.
max_val	Optional. The maximum value to use for normalization. If NULL, the maximum of x is used.

Value

A numeric vector with values scaled between 0 and 1. If min_val and max_val are equal (or x has no variance), returns a vector of 0.5s.

Examples

# Normalize a vector
x_vec <- c(10, 20, 30, 40, 50)
normalized_x <- min_max_normalize(x_vec)
print(normalized_x) # Should be 0, 0.25, 0.5, 0.75, 1

# Normalize with custom min/max
custom_normalized_x <- min_max_normalize(x_vec, min_val = 0, max_val = 100)
print(custom_normalized_x) # Should be 0.1, 0.2, 0.3, 0.4, 0.5

E2E documentation built on Aug. 27, 2025, 1:09 a.m.