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)
Arguments
- x
A numeric vector.
- na.rm
Logical. Should NA values be ignored when determining the scaling factor?
Default is TRUE.
Value
A numeric vector with values typically in the range (-1, 1).
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))
#> [1] 0.01 0.50 0.98
# Works with negative numbers
norm_decimal(c(-50, 50, 200))
#> [1] -0.05 0.05 0.20
