protein

This is the Protein Data Set from the UCI Machine Learning Repository.
It contains information about protein concentration in different samples.

The Truncated Factor Model is a statistical model designed to handle specific data structures in data analysis. This R package focuses on the Sparse Online Principal Component Estimation method, which is used to calculate data such as the loading matrix and specific variance matrix for truncated data, thereby better explaining the relationship between common factors and original variables. Additionally, the R package also provides other equations for comparison with the Sparse Online Principal Component Estimation method.The philosophy of the package is described in thesis. (2023) <doi:10.1007/s00180-022-01270-z>.

Guangbao Guo

Sparse Online Principal Component for Truncated Factor Model

Beibei Wu

protein function

A data frame with
45730
rows and
10
columns.<ul>
<li><code>SampleID</code>: A unique identifier for each sample.</li>
<li><code>Protein1</code>: Concentration of Protein 1.</li>
<li><code>Protein2</code>: Concentration of Protein 2.</li>
<li><code>Protein3</code>: Concentration of Protein 3.</li>
<li><code>Protein4</code>: Concentration of Protein 4.</li>
<li><code>Protein5</code>: Concentration of Protein 5.</li>
<li><code>Protein6</code>: Concentration of Protein 6.</li>
<li><code>Protein7</code>: Concentration of Protein 7.</li>
<li><code>Protein8</code>: Concentration of Protein 8.</li>
<li><code>Protein9</code>: Concentration of Protein 9.</li>
<li><code>Protein10</code>: Concentration of Protein 10.</li>
</ul>

protein: Data Frame 'protein'

Description

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