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features (version 2015.12-1)

Feature Extraction for Discretely-Sampled Functional Data

Description

Discretely-sampled function is first smoothed. Features of the smoothed function are then extracted. Some of the key features include mean value, first and second derivatives, critical points (i.e. local maxima and minima), curvature of cunction at critical points, wiggliness of the function, noise in data, and outliers in data.

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Install

install.packages('features')

Monthly Downloads

222

Version

2015.12-1

License

GPL (>= 2)

Maintainer

Last Published

December 1st, 2015

Functions in features (2015.12-1)

features

Estimate features of a discretely-sampled functional data.
fget

Utility function to extract features from an object of class "features".
plot

Plotting the smoothed fucntion and its derivatives.