bootSVD: Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data
Version 0.5

Implements fast, exact bootstrap Principal Component Analysis and Singular Value Decompositions for high dimensional data, as described in . For data matrices that are too large to operate on in memory, users can input objects with class 'ff' (see the 'ff' package), where the actual data is stored on disk. In response, this package will implement a block matrix algebra procedure for calculating the principal components (PCs) and bootstrap PCs. Depending on options set by the user, the 'parallel' package can be used to parallelize the calculation of the bootstrap PCs.

Browse man pages Browse package API and functions Browse package files

AuthorAaron Fisher <fisher@jhu.edu>
Date of publication2015-06-02 00:22:54
MaintainerAaron Fisher <fisher@jhu.edu>
LicenseGPL-2
Version0.5
URL http://arxiv.org/abs/1405.0922
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bootSVD")

Man pages

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

Functions

As2Vs Man page Source code
EEG_leadingV Man page
EEG_mu Man page
EEG_score_var Man page
bootPCA Man page Source code
bootSVD Man page Source code
bootSVD_LD Man page Source code
fastSVD Man page Source code
ffmatrixmult Man page Source code
genBootIndeces Man page Source code
genQ Man page Source code
getHDpercentiles Source code
getMomentsAndMomentCI Man page Source code
os Man page Source code
qrSVD Man page Source code
reindexMatricesByK Man page Source code
reindexVectorsByK Man page Source code
simEEG Man page Source code

Files

NAMESPACE
data
data/EEG_PCA.rda
R
R/bootstrap_functions.R
README.md
MD5
DESCRIPTION
man
man/getMomentsAndMomentCI.Rd
man/EEG_leadingV.Rd
man/bootSVD.Rd
man/EEG_score_var.Rd
man/As2Vs.Rd
man/reindexMatricesByK.Rd
man/genQ.Rd
man/fastSVD.Rd
man/ffmatrixmult.Rd
man/qrSVD.Rd
man/os.Rd
man/bootPCA.Rd
man/simEEG.Rd
man/genBootIndeces.Rd
man/bootSVD_LD.Rd
man/EEG_mu.Rd
man/reindexVectorsByK.Rd
bootSVD documentation built on May 19, 2017, 1:23 p.m.