rSFA: Slow Feature Analysis in R

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.

Author
Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Martin Zaefferer, Patrick Koch; Bug hunting and testing by Ayodele Fasika, Ashwin Kumar, Prawyn Jebakumar
Date of publication
2014-12-17 13:07:15
Maintainer
Martin Zaefferer <martin.zaefferer@gmx.de>
License
GPL (>= 2)
Version
1.04
URLs

View on CRAN

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

Files in this package

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