concrete_slump

This is the Concrete Slump Test data set containing various features of concrete mixtures and their slump test results.

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

concrete_slump function

A data frame with
103
rows and
11
columns.<ul>
<li><code>Cement</code>: Amount of cement in kg/m³.</li>
<li><code>Slag</code>: Amount of blast furnace slag in kg/m³.</li>
<li><code>Flyash</code>: Amount of fly ash in kg/m³.</li>
<li><code>Water</code>: Amount of water in kg/m³.</li>
<li><code>SP</code>: Amount of superplasticizer in kg/m³.</li>
<li><code>Coarseagg</code>: Amount of coarse aggregate in kg/m³.</li>
<li><code>Fineagg</code>: Amount of fine aggregate in kg/m³.</li>
<li><code>SLUMP</code>: Slump of the concrete mixture in mm.</li>
<li><code>FLOW</code>: Flow of the concrete mixture in mm.</li>
<li><code>CompressiveStrength</code>: Compressive strength of the concrete in MPa.</li>
</ul>

concrete_slump: Data Frame 'concrete_slump'

Description

Usage

Arguments

Format

Examples