Taste

The data concerns tastes for music and movies of a set of 2000 individuals. It contains 5 variables of likes for music genres 
(french pop, rap, rock, jazz and classical), 6 variables of likes for movie genres (comedy, crime, 
animation, science fiction, love, musical) 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
and plot bivariate associations between variables
(phi, Cramér V, correlation coefficient, eta-squared...).

Nicolas Robette

GDAtools

A Toolbox for Geometric Data Analysis and More

Taste function

A data frame with 500 observations and the following 13 variables:<dl>
 <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>Comedy</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd> <dt><code>Crime</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd> <dt><code>Animation</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd> <dt><code>SciFi</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd> <dt><code>Love</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd> <dt><code>Musical</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>Educ</code></dt>
<dd>is a factor with levels <code>none</code>, <code>low</code>, <code>medium</code>, <code>high</code></dd> 
</dl>

Format

Taste (data) — Taste

A data frame with 500 observations and the following 13 variables:<dl>
 <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>Comedy</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>

 <dt><code>Crime</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>

 <dt><code>Animation</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>

 <dt><code>SciFi</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>

 <dt><code>Love</code></dt>
<dd>is a factor with levels <code>No</code>, <code>Yes</code>, <code>NA</code></dd>

 <dt><code>Musical</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>Educ</code></dt>
<dd>is a factor with levels <code>none</code>, <code>low</code>, <code>medium</code>, <code>high</code></dd>

 
</dl>

Taste: Taste (data)

Description

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Examples