statistics-0.16.3.0: A library of statistical types, data, and functions

Copyright | (c) 2017 Gregory W. Schwartz
License | BSD3
Maintainer | gsch@mail.med.upenn.edu
Stability | experimental
Portability | portable
Safe Haskell | None
Language | Haskell2010

Statistics.Sample.Normalize

Description

Functions for normalizing samples.

Synopsis

- standardize :: Vector v Double => v Double -> Maybe (v Double)

# Documentation

standardize :: Vector v Double => v Double -> Maybe (v Double) #

O(n) Normalize a sample using standard scores:

\[ z = \frac{x - \mu}{\sigma} \]

Where μ is sample mean and σ is standard deviation computed from unbiased variance estimation. If sample to small to compute σ or it's equal to 0 `Nothing` is returned.