features: Feature Extraction for Discretely-Sampled Functional Data
Version 2015.12-1

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.

AuthorRavi Varadhan, Johns Hopkins University, and MKG Subramaniam, AT&T Reserach Labs.
Date of publication2015-12-02 00:01:49
MaintainerRavi Varadhan <rvaradhan@jhmi.edu>
LicenseGPL (>= 2)
Version2015.12-1
URL http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("features")

Popular 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.
See all...

All man pages Function index File listing

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.

Functions

features Man page Source code
fget Man page Source code
fget.features Man page Source code
plot Man page
plot.features Man page Source code

Files

NAMESPACE
demo
demo/00Index
demo/features.R
NEWS
R
R/features.R
MD5
DESCRIPTION
man
man/features.Rd
man/fget.features.Rd
man/plot.features.Rd
features documentation built on May 19, 2017, 10:25 p.m.

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