normalise: Scale each feature vector into a user-specified range for...

In normaliseR: Re-Scale Vectors and Time-Series Features

Scale each feature vector into a user-specified range for visualisation and modelling

Description

'normalise()' and 'normalize()' are synonyms.

Usage

normalise(
  data,
  norm_method = c("zScore", "Sigmoid", "RobustSigmoid", "MinMax", "MaxAbs"),
  unit_int = FALSE
)

normalize(
  data,
  norm_method = c("zScore", "Sigmoid", "RobustSigmoid", "MinMax", "MaxAbs"),
  unit_int = FALSE
)

Arguments

data	either a feature_calculations object containing the raw feature matrix produced by theft::calculate_features or a vector of class numeric containing values to be rescaled
norm_method	character denoting the rescaling/normalising method to apply. Can be one of "zScore", "Sigmoid", "RobustSigmoid", "MinMax", or "MaxAbs". Defaults to "zScore"
unit_int	Boolean whether to rescale into unit interval [0,1] after applying normalisation method. Defaults to FALSE

Value

either an object of class feature_calculations object or a numeric vector depending on the data type supplied to data

Author(s)

Trent Henderson

normaliseR documentation built on June 22, 2024, 11 a.m.