prepkit (version 0.1.1)

norm_decimal: Decimal Scaling Normalization

Description

Normalizes a numeric vector by moving the decimal point of values of attribute A. The number of decimal points moved depends on the maximum absolute value of A.

Usage

norm_decimal(x, na.rm = TRUE)

Value

A numeric vector with values typically in the range (-1, 1).

Arguments

x

A numeric vector.

na.rm

Logical. Should NA values be ignored when determining the scaling factor? Default is TRUE.

Details

Formula: \(x' = \frac{x}{10^j}\) where \(j\) is the smallest integer such that \(\max(|x'|) < 1\).

References

Han, J., Kamber, M., & Pei, J. (2011). Data mining: concepts and techniques (3rd ed.). Morgan Kaufmann.

Examples

# Max value is 980, so j=3 (divides by 1000) -> 0.98
norm_decimal(c(10, 500, 980))

# Works with negative numbers
norm_decimal(c(-50, 50, 200))