Normalize a Numeric Vector

This function normalizes a numeric or integer vector using one of two methods: min-max normalization (scales data to the range (0, 1)) or z-score normalization (centers data around 0 with a standard deviation of 1).

Usage

normalize(x, method = c("min_max", "z_score"))

Arguments

x

A numeric or integer vector to be normalized.

method

A character string specifying the normalization method. Options are "min_max" for min-max normalization or "z_score" for z-score normalization. If no method is provided, the default is "min_max".

Value

A numeric vector of the same length as x, containing the normalized values.

Author

Nicolas Foss, Ed.D., MS

Examples

# Example data
data <- c(10, 20, 30, 40, 50, NA)

# Min-max normalization
normalize(data, method = "min_max")
#> [1] 0.00 0.25 0.50 0.75 1.00   NA

# Z-score normalization
normalize(data, method = "z_score")
#> [1] -1.2649111 -0.6324555  0.0000000  0.6324555  1.2649111         NA

# Default behavior (min-max normalization)
normalize(data)
#> ℹ As no method was supplied, `normalize()` will default to min-max normalization methods.
#> [1] 0.00 0.25 0.50 0.75 1.00   NA