FCSlib (version 1.3.0)

norm.vector: Min-Max Feature scaling normalization

Description

Normalizes a vector using the Min-Max Feature scaling method (a.k.a unity-based normalization)

Usage

norm.vector(x, a.b = NULL)

Arguments

x

A vector

a.b

A vector that indicates the minimum and maximum scaling values

Value

A normalized vector

Details

Feature scaling is used to bring all values into the range [0,1]. This is also called unity-based normalization. When 'a.b = NULL' (default), the highest and lowest values in 'x' will turn to 1 and 0, respectively, while all values in between will be re-scaled. Defining 'a.b' will bring all values into the range [a,b].

Examples

# NOT RUN {
x <- seq(from = 1, to = 100, by = 0.1)
y <- sin(sqrt(x))
plot(y~x, type = "l")

y.n <- norm.vector(y)
plot(y.n~x, type = "l")

y.ab <- norm.vector(y, a.b = c(5,20))
plot(y.ab~x, type = "l")
# }