normalise_range: Normalze time series using min-max range normalisation method

In biggproject/biggr: biggr

Normalze time series using min-max range normalisation method

Description

Normalze time series using min-max range normalisation method

Usage

normalise_range(
  data,
  lower = 0,
  upper = 1,
  lowerThreshold = NULL,
  upperThreshold = NULL,
  scalingAttr = NULL
)

Arguments

data	<data.frame> containing a set of time series to normalise or an <array> of numerical values to normalise.
lower	<float> lower value of the resultant range.
upper	<float> upper value of the resultant range.
lowerThreshold	<float> lower threshold value.
upperThreshold	<float> upper threshold value.
scalingAttr	<data.frame> setting min-max threshold for each variable. Column names: column names specified in data argument; Row names: min, max. In case of NULL (default value), lowerThreshold or upperThreshold will be used.

Value

<list> containing two keys: "values" and "scalingAttr". The former consists on a <data.frame> or an <array> with the normalised values, depending the class of data argument. The latter consists on the scaling attributes used for normalisation.

biggproject/biggr documentation built on Oct. 2, 2024, 11:13 p.m.