rSFA (version 1.00)

sfaPBootstrap: Parametric Bootstrap

Description

If training set too small, augment it with parametric bootstrap

Usage

sfaPBootstrap(realclass, x, opts)

Arguments

realclass

true class of training data (can be vector, numerics, integers, factors)

x

matrix containing the training data

opts

list with several parameter settings opts$xpDimFun (=xpDim by default) calculated dimension of expaned SFA space opts$deg degree of expansion (should not be 1, not implemented) opts$ppRange ppRange for SFA a

Value

• returns a code{list} - code{list} contains: x training set extended to minimu number of recors1.5*(xpdim+nclass), if necessary realclass training class labels, extended analogously

References

addNoisyCopies