bootPCA

whether each bootstrap sample should
  be centered before computing the bootstrap principal
  components.

centerSamples

passed to <code><a href="/link/bootSVD?package=bootSVD&version=0.1" rd-options="" data-mini-rdoc="bootSVD::bootSVD">bootSVD</a></code>

All arguments are passed to <code><a href="/link/bootSVD?package=bootSVD&version=0.1" rd-options="" data-mini-rdoc="bootSVD::bootSVD">bootSVD</a></code>. This
function should be used in exactly the same way as
<code><a href="/link/bootSVD?package=bootSVD&version=0.1" rd-options="" data-mini-rdoc="bootSVD::bootSVD">bootSVD</a></code>. The only difference is that PCA
typically involves re-centering each bootstrap sample,
whereas calculations involving the SVD might not.

Implements fast, exact bootstrap Principal Component Analysis and
    Singular Value Decompositions for high dimensional data, as described in
    (arxiv.org/abs/1405.0922).

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

Description

Usage

Arguments

Value