Man pages for bootSVD
Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data
| As2Vs | Convert low dimensional bootstrap components to high... |
| bootPCA | Quickly calculates bootstrap PCA results (wrapper for... |
| 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... |
| 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... |
| os | Quickly print an R object's size |
| qrSVD | Wrapper for 'svd', which uses random preconditioning to... |
| reindexMatricesByK | Used for calculation of low dimensional standard errors &... |
| reindexVectorsByK | Used to study of the bootstrap distribution of the k^th... |
| simEEG | Simulation functional EEG data |
