This function extracts the score matrix and the loading matrix given the dimension of the subspace considered and the level of the tree chosen. Furthermore it provides the cumulant energies for the subspace extracted.

1 | ```
extract_hica(energy.obj, comp, level)
``` |

`energy.obj` |
An object provided by the function |

`comp` |
Dimension of the subspace. |

`level` |
Level of the tree. |

`X` |
data matrix. |

`S` |
score data matrix. |

`C` |
loading matrix. Each column represents a basis element. |

`cum.energy` |
cumulant energy for the subspace extracted. |

Piercesare Secchi, Simone Vantini, and Paolo Zanini.

P. Secchi, S. Vantini, and P. Zanini (2014). Hierarchical Independent Component Analysis: a multi-resolution non-orthogonal data-driven basis. *MOX-report 01/2014*, Politecnico di Milano.

`basis_hica`

, `similarity_hica`

, `energy_hica`

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.