SciencesPo (version 1.3.8)

normalize: Unity-based normalization

Description

Normalizes as feature scaling, min - max, or unity-based normalization. Typically used to bring all values into the range [0,1]. However, this can be generalized to restrict the range of values in the dataset between any arbitrary points a and b, using: $$X' = a + \frac{(x - x_{min})(b - a)}{(x_{max} - x_{min})}$$.

Usage

normalize(x, range, domain, ...)
## S3 method for class 'factor':
normalize(x, range, domain = range(1:nlevels(x)), ...)
## S3 method for class 'numeric':
normalize(x, range = c(0, 1), domain = range(x, na.rm =
  TRUE), ...)
## S3 method for class 'default':
normalize(x, range = c(0, 1), domain, ...)
## S3 method for class 'character':
normalize(x, range = c(0, 1), domain, ...)

Arguments

x

is a vector to be normalized.

range

is a numeric vector of length 2 for min and max values, default is c(0,1).

domain

a numeric vector of length 2.

...

further arguments passed to or used by other methods.

Value

• Normalized values in an object of the same class as var.

encoding

UTF-8

See Also

svTransform, new.range.

scale.

Examples

x <- sample(10)
normalize(x, range=c(0,1))
normalize(x)

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