Music

The data concerns tastes for music of a set of 500 individuals. It contains 5 variables of likes for music genres
 (french pop, rap, rock, jazz and classical), 2 about music listening and 2 additional variables (gender and age).

datasets

Contains functions for 'specific' Multiple Correspondence Analysis,
Class Specific Analysis, Multiple Factor Analysis, 'standardized' MCA, computing and plotting structuring factors and concentration ellipses,
inductive tests and others tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>). It also provides functions
for the translation of logit models coefficients into percentages (Deauvieau (2010) <doi:10.1177/0759106309352586>), weighted contingency tables, an association
measure for contingency tables ("Percentages of Maximum Deviation from Independence", aka PEM, see Cibois (1993) <doi:10.1177/075910639304000103>) and some tools to measure bivariate associations between variables
(phi, Cram<c3><a9>r V, correlation coefficient, eta-squared...).

Nicolas Robette

GDAtools

A Toolbox for Geometric Data Analysis and More

Music function

A data frame with 500 observations and the following 7 variables:<dl class="dl-horizontal">
 <dt><code>FrenchPop</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Rap</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Rock</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Jazz</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Classical</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Gender</code></dt><dd>is a factor with levels <code>Men</code>, <code>Women</code></dd>
 <dt><code>Age</code></dt><dd>is a factor with levels <code>15-24</code>, <code>25-49</code>, <code>50+</code></dd>
 <dt><code>OnlyMus</code></dt><dd>is a factor with levels <code>Daily</code>, <code>Often</code>, <code>Rare</code>, <code>Never</code>, indicating how often 
 one only listens to music.</dd>
 <dt><code>Daily</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code> indicating if one listens to music every day.</dd>
 </dl>

Format

Music (data) — Music

A data frame with 500 observations and the following 7 variables:<dl class='dl-horizontal'>
 <dt><code>FrenchPop</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Rap</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Rock</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Jazz</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Classical</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>
 <dt><code>Gender</code></dt><dd>is a factor with levels <code>Men</code>, <code>Women</code></dd>
 <dt><code>Age</code></dt><dd>is a factor with levels <code>15-24</code>, <code>25-49</code>, <code>50+</code></dd>
 <dt><code>OnlyMus</code></dt><dd>is a factor with levels <code>Daily</code>, <code>Often</code>, <code>Rare</code>, <code>Never</code>, indicating how often 
 one only listens to music.</dd>
 <dt><code>Daily</code></dt><dd>is a factor with levels <code>No</code>, <code>Yes</code> indicating if one listens to music every day.</dd>
 </dl>

Music: Music (data)

Description

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Examples