rSFA (version 1.01)

sfaStep: Update a step of the SFA algorithm.

Description

sfaStep() updates the current step of the SFA algorithm. Depending on sfaList$deg it calls either sfa1Step or sfa2Step to do the main work. See further documentation there

Usage

sfaStep(sfaList, arg, step = NULL, method = NULL)

Arguments

sfaList

A list that contains all information about the handled sfa-structure

arg

Input data, each column a different variable

step

Specifies the current SFA step. Must be given in the right sequence: for SFA1 objects: "preprocessing", "sfa" for SFA2 objects: "preprocessing", "expansion", "sfa" Each time a new step is invoked, the previous one is closed, which might take

method

Method to be used: For sfaList$step="expansion" the choices are "TIMESERIES" or "CLASSIF". For sfaList$step="sfa" (sfa2Step only) the choices are "SVDSFA" (recommende

Value

• list sfaList taken from the input, with new information added to this list. See sfa1Step or sfa2Step for details.

See Also

sfa1Step sfa2Step sfa1Create sfa2Create sfaExecute

Examples

## Suppose you have divided your training data into two chunks,
   ## DATA1 and DATA2. Let the number of input dimensions be N. To apply
   ## SFA on them write:
   sfaList = sfa2Create(N,xpDim(N))
   sfaList = sfaStep(sfaList, DATA1, "preprocessing")
   sfaList = sfaStep(sfaList, DATA2)
   sfaList = sfaStep(sfaList, DATA1, "expansion")
   sfaList = sfaStep(sfaList, DATA2)
   sfaList = sfaStep(sfaList, NULL, "sfa")
   output1 = sfaExecute(sfaList, DATA1)
   output2 = sfaExecute(sfaList, DATA2)