As2Vs |
Convert low dimensional bootstrap components to high dimensional bootstrap components |

bootPCA |
Quickly calculates bootstrap PCA results (wrapper for bootSVD) |

bootSVD |
Calculates bootstrap distribution of PCA (i.e. SVD) results |

bootSVD_LD |
Calculate bootstrap distribution of n-dimensional PCs |

EEG_leadingV |
Leading 5 Principal Components (PCs) from EEG dataset |

EEG_mu |
Functional mean from EEG dataset |

EEG_score_var |
Empirical variance of the first 5 score variables from EEG dataset |

fastSVD |
Fast SVD of a wide or tall matrix |

ffmatrixmult |
Matrix multiplication with "ff_matrix" or "matrix" inputs |

genBootIndeces |
Generate a random set of bootstrap resampling indeces |

genQ |
Generate random orthonormal matrix |

getMomentsAndMomentCI |
Calculate bootstrap moments and moment-based confidence intervals for the PCs. |

os |
Quickly print an R object's size |

qrSVD |
Wrapper for 'svd', which uses random preconditioning to restart when svd fails to converge |

reindexMatricesByK |
Used for calculation of low dimensional standard errors & percentiles, by re-indexing the A^b by PC index (k) rather than bootstrap index (b). |

reindexVectorsByK |
Used to study of the bootstrap distribution of the k^th singular values, by re-indexing the list of d^b vectors to be organized by PC index (k) rather than bootstrap index (b). |

simEEG |
Simulation functional EEG data |