features: Feature Extraction for Discretely-Sampled Functional Data

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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.

Author
Ravi Varadhan, Johns Hopkins University, and MKG Subramaniam, AT&T Reserach Labs.
Date of publication
2015-12-02 00:01:49
Maintainer
Ravi Varadhan <rvaradhan@jhmi.edu>
License
GPL (>= 2)
Version
2015.12-1
URLs

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Man pages

features
Estimate features of a discretely-sampled functional data.
fget.features
Utility function to extract features from an object of 'class...
plot.features
Plotting the smoothed fucntion and its derivatives.

Files in this package

features
features/NAMESPACE
features/demo
features/demo/00Index
features/demo/features.R
features/NEWS
features/R
features/R/features.R
features/MD5
features/DESCRIPTION
features/man
features/man/features.Rd
features/man/fget.features.Rd
features/man/plot.features.Rd