sfaNlRegress
(Package: rSFA) :
Perform non-linear regression
Given the data in arg, expand them nonlinearly in the same way as it was done in the SFA-object sfaList (expanded dimension M) and search the vector RCOEF of M constant coefficients, such that the sum of squared residuals between a given function in time FUNC and the function
R(t) = (v(t) - v0)' * RCOEF, t=1,...,T,
is minimal
● Data Source:
CranContrib
● Keywords:
● Alias: sfaNlRegress
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sfa2
(Package: rSFA) :
The SFA2 algorithm, SFA with degree 2 expansion.
Y = sfa2(X) performs expanded Slow Feature Analysis on the input data X and returns the output signals Y ordered by increasing temporal variation, i.e. the first signal Y[,1] is the slowest varying one, Y[,2] the next slowest varying one and so on. The input data have to be organized with each variable in a column and each data (time) point in a row, i.e. X(t,i) is the value of variable i at time t. By default an expansion to the space of 2nd degree polynomials is done, this can be changed by using different functions for xpDimFun and sfaExpandFun.
● Data Source:
CranContrib
● Keywords:
● Alias: sfa2
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customRep
(Package: rSFA) :
Custom Repeater Function
Faster than customRepmat in matlab package, in certain cases.
● Data Source:
CranContrib
● Keywords: internal
● Alias: customRep
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lcovCreate
(Package: rSFA) :
Create a new covariance object.
Create a new covariance object.
● Data Source:
CranContrib
● Keywords: internal
● Alias: lcovCreate
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nlDim
(Package: rSFA) :
Custom Nonlinear Dimension Calculation
Compute the dimension, used for the customexpansion demo.
● Data Source:
CranContrib
● Keywords: internal
● Alias: nlDim
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gaussSave
(Package: rSFA) :
Save a GAUSS object.
Save a GAUSS object.
● Data Source:
CranContrib
● Keywords: internal
● Alias: gaussSave
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sfa2Step
(Package: rSFA) :
A step in the SFA2 algorithm.
!!! Do not use this function directly, use sfaStep instead !!!
● Data Source:
CranContrib
● Keywords: internal
● Alias: sfa2Step
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lcovTransform
(Package: rSFA) :
Transform a covariance object
Computes the definitive covariance matrix and the average of the covariance object referenced by lcov after a series of update operations.
● Data Source:
CranContrib
● Keywords: internal
● Alias: lcovTransform
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etaval
(Package: rSFA) :
Computes the eta value of a signal (slowness)
Computes the eta value of a signal (slowness)
● Data Source:
CranContrib
● Keywords:
● Alias: etaval
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sfaBSh
(Package: rSFA) :
Backslash operator.
Reproduce what MATLAB's backslash operator can do, using qr() and qr.coef().
● Data Source:
CranContrib
● Keywords: internal
● Alias: sfaBSh
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providing 
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