Package 'normaliseR'

Rescales a numeric vector using maximum absolute scaling

Description

$z_{i} = \frac{x_{i}}{\text{max}(\mathbf{x})}$

Usage

maxabs_scaler(x)

Arguments

x	numeric vector

Value

numeric vector

Author(s)

Trent Henderson

---

Rescales a numeric vector into the unit interval [0,1]

Description

$z_{i} = \frac{x_{i} - \text{min}(\mathbf{x})}{\text{max}(\mathbf{x}) - \text{min}(\mathbf{x})}$

Usage

minmax_scaler(x)

Arguments

x	numeric vector

Value

numeric vector

Author(s)

Trent Henderson

---

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

---

Re-Scale Vectors and Time-Series Features

Description

Re-scale Vectors and Time-Series Features

---

Rescales a numeric vector using an outlier-robust Sigmoidal transformation

Description

$z_{i} = \left[1 + \exp\left(-\frac{x_{i} - \text{median}(\mathbf{x})}{\text{IQR}(\mathbf{x})/{1.35}}\right)\right]^{-1}$

Usage

robustsigmoid_scaler(x)

Arguments

x	numeric vector

Value

numeric vector

Author(s)

Trent Henderson

References

Fulcher, Ben D., Little, Max A., and Jones, Nick S. Highly Comparative Time-Series Analysis: The Empirical Structure of Time Series and Their Methods. Journal of The Royal Society Interface 10(83), (2013).

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Rescales a numeric vector using a Sigmoidal transformation

Description

$z_{i} = \left[1 + \exp(-\frac{x_{i} - \mu}{\sigma})\right]^{-1}$

Usage

sigmoid_scaler(x)

Arguments

x	numeric vector

Value

numeric vector

Author(s)

Trent Henderson

---

Rescales a numeric vector into z-scores

Description

$z_{i} = \frac{x_{i} - \mu}{\sigma}$

Usage

zscore_scaler(x)

Arguments

x	numeric vector

Value

numeric vector

Author(s)

Trent Henderson

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