getDataInShape

This function aligns a given dataset (<code>data</code>) with a reference dataset
(<code>missingReference</code>). It ensures that the structure, column names, and factor
levels in <code>data</code> match the structure of <code>missingReference</code>. If necessary,
missing columns are initialized with <code>NA</code>, and factor levels are adjusted to
match the reference. Additionally, it handles the imputation of missing
values based on the reference and manages flag variables for categorical or
numerical columns.

A novel forward stepwise discriminant analysis framework
that integrates Pillai's trace with Uncorrelated Linear Discriminant Analysis (ULDA),
providing an improvement over traditional stepwise LDA methods that rely on Wilks' Lambda.
A stand-alone ULDA implementation is also provided, offering a more general solution
than the one available in the 'MASS' package. It automatically handles missing values and
provides visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2409.03136>.

Siyu Wang

folda

Forward Stepwise Discriminant Analysis with Pillai's Trace

getDataInShape function

<dl><dt>data</dt>
<dd>A data frame to be aligned and adjusted according to the
<code>missingReference</code>.</dd>
<dt>missingReference</dt>
<dd>A reference data frame that provides the structure
(column names, factor levels, and missing value reference) for aligning
<code>data</code>.</dd></dl>

Arguments

Align Data with a Missing Reference — getDataInShape

<dl>

<dt>data</dt>
<dd>A data frame to be aligned and adjusted according to the
<code>missingReference</code>.</dd>


<dt>missingReference</dt>
<dd>A reference data frame that provides the structure
(column names, factor levels, and missing value reference) for aligning
<code>data</code>.</dd>

</dl>

getDataInShape: Align Data with a Missing Reference

Description

Usage

Value

Arguments

Examples