apply_scaling_enhanced

Applies various scaling methods to matrix data for heatmap visualization

A comprehensive toolkit for analyzing and visualizing neural data
outputs, including Principal Component Analysis (PCA) trajectory plotting,
Multi-Electrode Array (MEA) heatmap generation, and variable importance
analysis. Provides publication-ready visualizations with flexible
customization options for neuroscience research applications.

Alex Tudoras

NOVA

Neural Output Visualization and Analysis

apply_scaling_enhanced function

<dl><dt>matrix_data</dt>
<dd>Numeric matrix to scale</dd>
<dt>scale_method</dt>
<dd>Scaling method: "variable_0_10", "robust", "row", "column", "none"</dd>
<dt>verbose</dt>
<dd>Whether to print scaling information</dd></dl>

Arguments

Apply Enhanced Scaling Methods — apply_scaling_enhanced

<dl>

<dt>matrix_data</dt>
<dd>Numeric matrix to scale</dd>


<dt>scale_method</dt>
<dd>Scaling method: "variable_0_10", "robust", "row", "column", "none"</dd>


<dt>verbose</dt>
<dd>Whether to print scaling information</dd>

</dl>

apply_scaling_enhanced: Apply Enhanced Scaling Methods

Description

Usage

Value

Arguments