Description Usage Arguments Value References

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

1 | ```
addNoisyCopies(realclass, x, pars)
``` |

`x` |
a matrix containing the training data |

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

`pars` |
list of parameters: |

list `res`

- `res`

contains two list entries: realclass and x (including added copies)

`sfaPBootstrap`

rSFA documentation built on May 30, 2017, 6:48 a.m.

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