Data Products

Methods for deriving additional data products from time series data, such as smoothed signals using frequency filters or polynomial fits, residual extraction, and calculation of kNN and LOF scores.

assignKNNScore	K nearest neighbor scoring.
assignLOF	Assign Local Outlier Factor (LOF).
assignUniLOF	Univariate outlier scoring, based on LOF.
assignZScore	Calculate (rolling) Zscores.
calculatePolynomialResiduals	Residuals from polynomial fit.
calculateRollingResiduals	Residuals from sliding window fit.
fitPolynomial	Fit a polynomial model to the data.
fitLowpassFilter	Filter and smooth data with Butterworth filter.