partial_project

Project a selected subset of column indices (<code>colind</code>) of <code>new_data</code> onto
the subspace defined by the model <code>x</code>. Optionally do a
ridge-regularized least-squares solve if columns are non-orthonormal.

Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.

Bradley Buchsbaum

multivarious

Extensible Data Structures for Multivariate Analysis

partial_project function

<dl><dt>x</dt>
<dd>The fitted model, e.g. <code>bi_projector</code>, that has a partial_project method.</dd>
<dt>new_data</dt>
<dd>A numeric matrix (n x length(colind)) or vector, representing
the observations to be projected.</dd>
<dt>colind</dt>
<dd>A numeric vector of column indices in the original data space
that correspond to <code>new_data</code>'s columns.</dd>
<dt>least_squares</dt>
<dd>Logical; if TRUE (default), do a ridge-regularized solve.</dd>
<dt>lambda</dt>
<dd>Numeric; ridge penalty (default 1e-6). Ignored if <code>least_squares=FALSE</code>.</dd>
<dt>...</dt>
<dd>Additional arguments passed to class-specific partial_project methods.</dd></dl>

Arguments

Partially project a new sample onto subspace — partial_project

<dl>

<dt>x</dt>
<dd>The fitted model, e.g. <code>bi_projector</code>, that has a partial_project method.</dd>


<dt>new_data</dt>
<dd>A numeric matrix (n x length(colind)) or vector, representing
the observations to be projected.</dd>


<dt>colind</dt>
<dd>A numeric vector of column indices in the original data space
that correspond to <code>new_data</code>'s columns.</dd>


<dt>least_squares</dt>
<dd>Logical; if TRUE (default), do a ridge-regularized solve.</dd>


<dt>lambda</dt>
<dd>Numeric; ridge penalty (default 1e-6). Ignored if <code>least_squares=FALSE</code>.</dd>


<dt>...</dt>
<dd>Additional arguments passed to class-specific partial_project methods.</dd>

</dl>

partial_project: Partially project a new sample onto subspace

Description

Usage

Value

Arguments