pca_plot_correlation_circle

Visualises the correlation between each variable and a pair of principal
components. The variables are projected onto the unit circle, where points
near the perimeter indicate strong correlation with the selected components.

High performance principal component analysis routines
that operate directly on 'bigmemory::big.matrix' objects. The
package avoids materialising large matrices in memory by
streaming data through 'BLAS' and 'LAPACK' kernels and provides
helpers to derive scores, loadings, correlations, and
contribution diagnostics, including utilities that stream
results into 'bigmemory'-backed matrices for file-based
workflows. Additional interfaces expose 'scalable' singular value
decomposition, robust PCA, and robust SVD algorithms so that
users can explore large matrices while tempering the influence
of outliers. 'Scalable' principal component analysis is also implemented,
Elgamal, Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015)
<doi:10.1145/2723372.2751520>.

Frederic Bertrand

bigPCAcpp

Principal Component Analysis for 'bigmemory' Matrices

pca_plot_correlation_circle function

<dl><dt>correlations</dt>
<dd>Matrix or <code>bigmemory::big.matrix</code> containing variable
correlations, typically produced by <code>pca_variable_correlations()</code>.</dd>
<dt>components</dt>
<dd>Length-two integer vector specifying the principal
components to display.</dd>
<dt>labels</dt>
<dd>Optional character vector specifying the labels to display for
each variable. When <code>NULL</code>, the row names of <code>correlations</code> are used when
available.</dd>
<dt>draw</dt>
<dd>Logical; set to <code>FALSE</code> to return the prepared coordinates
without plotting.</dd>
<dt>...</dt>
<dd>Additional graphical parameters passed to <code><a href="/link/graphics%3A%3Aplot()?package=bigPCAcpp&version=0.9.0" data-mini-rdoc="bigPCAcpp::graphics::plot()">graphics::plot()</a></code>.</dd></dl>

Arguments

Plot a PCA correlation circle — pca_plot_correlation_circle

<dl>

<dt>correlations</dt>
<dd>Matrix or <code>bigmemory::big.matrix</code> containing variable
correlations, typically produced by <code>pca_variable_correlations()</code>.</dd>


<dt>components</dt>
<dd>Length-two integer vector specifying the principal
components to display.</dd>


<dt>labels</dt>
<dd>Optional character vector specifying the labels to display for
each variable. When <code>NULL</code>, the row names of <code>correlations</code> are used when
available.</dd>


<dt>draw</dt>
<dd>Logical; set to <code>FALSE</code> to return the prepared coordinates
without plotting.</dd>


<dt>...</dt>
<dd>Additional graphical parameters passed to <code><a href='https://rdrr.io/r/graphics/plot.default.html'>graphics::plot()</a></code>.</dd>

</dl>

pca_plot_correlation_circle: Plot a PCA correlation circle

Description

Usage

Value

Arguments