College

Scores obtained from 87 college students on the College Level Examination Program and the College Qualification Test.

An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users).   Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

Nelson Afanador

mvdalab

Multivariate Data Analysis Laboratory

College function

A data frame with 87 observations and the following 3 variables.<dl>
 <dt><code>Science</code></dt>
<dd>Science (CQT) - numerical vector</dd> <dt><code>Social</code></dt>
<dd>Social science and history (CLEP) - numerical vector</dd> <dt><code>Verbal</code></dt>
<dd>Verbal (CQT) - numerical vector</dd> 
</dl>

Format

Data for College Level Examination Program and the College Qualification Test — College

A data frame with 87 observations and the following 3 variables.<dl>
 <dt><code>Science</code></dt>
<dd>Science (CQT) - numerical vector</dd>

 <dt><code>Social</code></dt>
<dd>Social science and history (CLEP) - numerical vector</dd>

 <dt><code>Verbal</code></dt>
<dd>Verbal (CQT) - numerical vector</dd>

 
</dl>

College: Data for College Level Examination Program and the College Qualification Test

Description

Usage

Arguments

Format