people

<p>Dataset for exploratory analysis with 32 objects (male and female persons) and 12 variables.</p>

datasets

Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi:10.1016/j.chemolab.2020.103937>.

Sergey Kucheryavskiy

mdatools

Multivariate Data Analysis for Chemometrics

people function

<p>a matrix with 32 observations (persons) and 12 variables.</p><table class="table">
<tr><td><code>[, 1]</code></td><td>Height in cm.</td><td><code>[, 2]</code></td><td>Weight in kg.</td></tr>
<tr><td><code>[, 3]</code></td><td>Hair length (-1 for short, +1 for long).</td><td><code>[, 4]</code></td><td>Shoe size (EU standard).</td></tr>
<tr><td><code>[, 5]</code></td><td>Age, years.</td><td><code>[, 6]</code></td><td>Income, euro per year.</td></tr>
<tr><td><code>[, 7]</code></td><td>Beer consumption, liters per year.</td><td><code>[, 8]</code></td><td>Wine consumption, liters per year.</td></tr>
<tr><td><code>[, 9]</code></td><td>Sex (-1 for male, +1 for female).</td><td><code>[, 10]</code></td><td>Swimming ability (index, based on 500 m swimming time).</td></tr>
<tr><td><code>[, 11]</code></td><td>Region (-1 for Scandinavia, +1 for Mediterranean.</td><td><code>[, 12]</code></td><td>IQ (European standardized test).</td></tr>
</table><p></p><p></p>

Format

People data — people

<p>a matrix with 32 observations (persons) and 12 variables.</p><table class='table'>
<tr><td><code>[, 1]</code></td><td>Height in cm.</td><td><code>[, 2]</code></td><td>Weight in kg.</td></tr>
<tr><td><code>[, 3]</code></td><td>Hair length (-1 for short, +1 for long).</td><td><code>[, 4]</code></td><td>Shoe size (EU standard).</td></tr>
<tr><td><code>[, 5]</code></td><td>Age, years.</td><td><code>[, 6]</code></td><td>Income, euro per year.</td></tr>
<tr><td><code>[, 7]</code></td><td>Beer consumption, liters per year.</td><td><code>[, 8]</code></td><td>Wine consumption, liters per year.</td></tr>
<tr><td><code>[, 9]</code></td><td>Sex (-1 for male, +1 for female).</td><td><code>[, 10]</code></td><td>Swimming ability (index, based on 500 m swimming time).</td></tr>
<tr><td><code>[, 11]</code></td><td>Region (-1 for Scandinavia, +1 for Mediterranean.</td><td><code>[, 12]</code></td><td>IQ (European standardized test).</td></tr>
</table>



people: People data

Description

Usage

Arguments

Format

Details

`[, 1]`	Height in cm.	`[, 2]`	Weight in kg.
`[, 3]`	Hair length (-1 for short, +1 for long).	`[, 4]`	Shoe size (EU standard).
`[, 5]`	Age, years.	`[, 6]`	Income, euro per year.
`[, 7]`	Beer consumption, liters per year.	`[, 8]`	Wine consumption, liters per year.
`[, 9]`	Sex (-1 for male, +1 for female).	`[, 10]`	Swimming ability (index, based on 500 m swimming time).
`[, 11]`	Region (-1 for Scandinavia, +1 for Mediterranean.	`[, 12]`	IQ (European standardized test).