addNoisyCopies

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

realclass

list of parameters:<code>pars$ncopies</code>:
  Number of new records to add<code>pars$ncsort</code>:
  Defines if training data should be sorted by class.
  Default is FALSE<code>pars$ncsigma</code>: The noise in
  each column of x has the std.dev

pars

Given training data X with true labels REALCLASS, add new
  records to X and REALCLASS, which are noisy copies of the
  training data.

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.

addNoisyCopies: Add noisy copies for parametric bootstrap

Description

Usage

Arguments

Value

References