protein

This is the Protein Data Set containing various features related to protein structure and properties.

datasets

Generates Skew Factor Models data and applies Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Projected Principal Component (PPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods to estimate model parameters. It includes capabilities for calculating mean squared error, relative error, and sparsity of the loading matrix.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.

Guangbao Guo

A Package for Analyzing Skew Factor Models

Yu Jin

protein function

A data frame with
45730
rows and
10
columns.<ul>
<li><code>Feature1</code>: Description of Feature1.</li>
<li><code>Feature2</code>: Description of Feature2.</li>
<li><code>Feature3</code>: Description of Feature3.</li>
<li><code>Feature4</code>: Description of Feature4.</li>
<li><code>Feature5</code>: Description of Feature5.</li>
<li><code>Feature6</code>: Description of Feature6.</li>
<li><code>Feature7</code>: Description of Feature7.</li>
<li><code>Feature8</code>: Description of Feature8.</li>
<li><code>Feature9</code>: Description of Feature9.</li>
<li><code>Feature10</code>: Description of Feature10.</li>
</ul>

protein: Data Frame 'protein'

Description

Usage

Arguments

Format

Examples