rSFA: Slow Feature Analysis in R
Version 1.04

Slow Feature Analysis in R, ported to R based on the matlab versions SFA toolkit 1.0 by Pietro Berkes and SFA toolkit 2.8 by Wolfgang Konen for matlab.

Browse man pages Browse package API and functions Browse package files

AuthorWolfgang Konen <wolfgang.konen@fh-koeln.de>, Martin Zaefferer, Patrick Koch; Bug hunting and testing by Ayodele Fasika, Ashwin Kumar, Prawyn Jebakumar
Date of publication2014-12-17 13:07:15
MaintainerMartin Zaefferer <martin.zaefferer@gmx.de>
LicenseGPL (>= 2)
Version1.04
URL http://gociop.de/research-projects/sfa/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rSFA")

Man pages

addNoisyCopies: Add noisy copies for parametric bootstrap
customRep: Custom Repeater Function
customRepmat: Custom repmat Function
customSize: Custom Size Function.
etaval: Computes the eta value of a signal (slowness)
gaussClassifier: Classifier for SFA demos
gaussCreate: Create an Gaussian classifier object
gaussLoad: Load a GAUSS object.
gaussSave: Save a GAUSS object.
lcovCreate: Create a new covariance object.
lcovFix: Fix a covariance object
lcovPca: Principal Component Analysis on a covariance object
lcovPca2: Improved Principal Component Analysis on a covariance object
lcovTransform: Transform a covariance object
lcovUpdate: Update a covariance object
nlDim: Custom Nonlinear Dimension Calculation
nlExpand: Expand a signal in the for Nonlinear Expansion demo
rSFA-package: Slow Feature Analysis in R
sfa1: The SFA1 algorithm, linear SFA.
sfa1Create: Create structured list for linear SFA
sfa1Step: A step in the SFA1 algorithm.
sfa2: The SFA2 algorithm, SFA with degree 2 expansion.
sfa2Create: Create structured list for expanded SFA
sfa2Step: A step in the SFA2 algorithm.
sfaBSh: Backslash operator.
sfaCheckCondition: Check Condition of a matrix for SFA
sfaClassify: Predict Class for SFA classification
sfaClassPredict: Predict Class for SFA classification
sfaExecute: Execute learned function for input data
sfaExpand: Degree 2 Expansion
sfaGetHf: Return a SFA function as a quadratic form.
sfaGetIntRange: Helper Function of SFA.
sfaLoad: Load a SFA object.
sfaNlRegress: Perform non-linear regression
sfaPBootstrap: Parametric Bootstrap
sfaPreproc: Preprocessing for SFA classification
sfaSave: Save a SFA object.
sfaStep: Update a step of the SFA algorithm.
sfaTimediff: Calculates the first derivative of signal data
xpDim: Degree 2 Dimension Calculation

Functions

addNoisyCopies Man page Source code
customRep Man page Source code
customRepmat Man page Source code
customSize Man page Source code
eta Source code
etaval Man page Source code
gaussClassifier Man page Source code
gaussCreate Man page Source code
gaussLoad Man page Source code
gaussSave Man page Source code
getCentroid Source code
getSigma Source code
lcovCreate Man page Source code
lcovFix Man page Source code
lcovPca Man page Source code
lcovPca2 Man page Source code
lcovTransform Man page Source code
lcovUpdate Man page Source code
nlDim Man page Source code
nlExpand Man page Source code
rSFA Man page
rSFA-package Man page
sfa1 Man page Source code
sfa1Create Man page Source code
sfa1Step Man page Source code
sfa2 Man page Source code
sfa2Create Man page Source code
sfa2Step Man page Source code
sfaBSh Man page Source code
sfaCheckCondition Man page Source code
sfaClassPredict Man page Source code
sfaClassify Man page Source code
sfaExecute Man page Source code
sfaExpand Man page Source code
sfaGetHf Man page Source code
sfaGetIntRange Man page Source code
sfaLoad Man page Source code
sfaNlRegress Man page Source code
sfaPBootstrap Man page Source code
sfaPreproc Man page Source code
sfaSave Man page Source code
sfaStep Man page Source code
sfaTimediff Man page Source code
xpDim Man page Source code

Files

inst
inst/demoFiles
inst/demoFiles/drive.R
inst/demoFiles/class.R
NAMESPACE
demo
demo/sfaClass1Demo.R
demo/sfaDemo.R
demo/sfaDrivingDemo.R
demo/sfaLongDatasetDemo.R
demo/00Index
demo/sfaExpandDemo.R
NEWS
R
R/sfaCreate.R
R/sfaParamBoot.R
R/eta.R
R/sfaTimediff.R
R/sfaStep.R
R/sfaHelperFunctions.R
R/nlRegress.R
R/gauss.R
R/sfaFileIO.R
R/sfaExecute.R
R/sfa.R
R/sfaExpand.R
R/sfaGetHf.R
R/sfaClassify.R
R/lcov.R
MD5
DESCRIPTION
man
man/sfaPBootstrap.Rd
man/rSFA-package.Rd
man/lcovFix.Rd
man/sfaExpand.Rd
man/sfaLoad.Rd
man/sfaNlRegress.Rd
man/sfa2.Rd
man/customRep.Rd
man/lcovCreate.Rd
man/nlDim.Rd
man/gaussSave.Rd
man/sfa2Step.Rd
man/lcovTransform.Rd
man/etaval.Rd
man/sfaBSh.Rd
man/sfaStep.Rd
man/sfaSave.Rd
man/sfaGetIntRange.Rd
man/xpDim.Rd
man/lcovPca2.Rd
man/sfaGetHf.Rd
man/sfaClassify.Rd
man/lcovPca.Rd
man/sfa2Create.Rd
man/sfaCheckCondition.Rd
man/sfaClassPredict.Rd
man/sfa1Create.Rd
man/gaussClassifier.Rd
man/sfaTimediff.Rd
man/customRepmat.Rd
man/gaussLoad.Rd
man/gaussCreate.Rd
man/sfa1Step.Rd
man/sfaExecute.Rd
man/nlExpand.Rd
man/lcovUpdate.Rd
man/sfa1.Rd
man/customSize.Rd
man/addNoisyCopies.Rd
man/sfaPreproc.Rd
rSFA documentation built on May 20, 2017, 4:35 a.m.